thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-12-15 10:52:30 +00:00
Code Issues Packages Projects Releases Wiki Activity
d3adcc1cb0
ClickHouse/benchmark/hive/log/log_10m/log_hits_10m
Ivan 97f2a2213e
Move all folders inside /dbms one level up (#9974) 
* Move some code outside dbms/src folder
* Fix paths
2020-04-02 02:51:21 +03:00

9307 lines
595 KiB
Plaintext
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

start time: Ср. сент. 11 18:04:18 MSK 2013
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27940@mturlrep13_201309111804_333737265.txt
hive> ;
hive> quit;
times: 1
query: SELECT count(*) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28397@mturlrep13_201309111804_2040079163.txt
hive> SELECT count(*) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0219
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:04:42,860 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:04:49,913 Stage-1 map = 4%, reduce = 0%
2013-09-11 18:04:52,925 Stage-1 map = 7%, reduce = 0%
2013-09-11 18:04:55,955 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:04:56,962 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:04:57,969 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:04:58,976 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:04:59,982 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:00,988 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:01,993 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:02,998 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:04,003 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:05,008 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:06,018 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:07,024 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:08,029 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:09,035 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:10,039 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:11,044 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-11 18:05:12,051 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 51.0 sec
2013-09-11 18:05:13,056 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:14,062 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:15,067 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:16,072 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:17,077 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:18,083 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:19,088 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.63 sec
2013-09-11 18:05:20,093 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:21,098 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:22,103 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:23,108 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:24,112 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:25,117 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:26,122 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:27,127 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:28,131 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:29,136 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:30,141 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:31,151 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:32,159 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:33,163 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:34,168 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:35,173 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:36,208 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:37,212 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:38,217 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:39,222 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 18:05:40,227 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 116.26 sec
2013-09-11 18:05:41,240 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.04 sec
2013-09-11 18:05:42,244 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.04 sec
2013-09-11 18:05:43,248 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.04 sec
2013-09-11 18:05:44,253 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.04 sec
2013-09-11 18:05:45,259 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 154.32 sec
2013-09-11 18:05:46,264 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 154.32 sec
2013-09-11 18:05:47,269 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 154.32 sec
MapReduce Total cumulative CPU time: 2 minutes 34 seconds 320 msec
Ended Job = job_201309101627_0219
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 154.32 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 34 seconds 320 msec
OK
10000000
Time taken: 79.195 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31005@mturlrep13_201309111805_665303300.txt
hive> ;
hive> quit;
times: 2
query: SELECT count(*) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31457@mturlrep13_201309111805_1086613.txt
hive> SELECT count(*) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0220
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:06:01,601 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:06:08,629 Stage-1 map = 7%, reduce = 0%
2013-09-11 18:06:11,641 Stage-1 map = 14%, reduce = 0%
2013-09-11 18:06:18,671 Stage-1 map = 22%, reduce = 0%
2013-09-11 18:06:21,683 Stage-1 map = 29%, reduce = 0%
2013-09-11 18:06:24,695 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:06:27,707 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:06:28,718 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 34.66 sec
2013-09-11 18:06:29,725 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:30,731 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:31,736 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:32,742 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:33,747 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:34,752 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:35,757 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 78.93 sec
2013-09-11 18:06:36,762 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:37,767 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:38,772 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:39,778 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:40,783 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:41,787 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:42,793 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:43,798 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:44,803 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:45,808 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:46,867 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:47,872 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:48,877 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:49,888 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:50,893 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:51,916 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:52,921 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 78.93 sec
2013-09-11 18:06:53,925 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 112.4 sec
2013-09-11 18:06:54,931 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 112.4 sec
2013-09-11 18:06:55,940 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 154.14 sec
2013-09-11 18:06:56,945 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 154.14 sec
2013-09-11 18:06:57,950 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 157.93 sec
2013-09-11 18:06:58,954 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 157.93 sec
2013-09-11 18:06:59,959 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 157.93 sec
2013-09-11 18:07:00,963 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 157.93 sec
2013-09-11 18:07:01,970 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 159.3 sec
2013-09-11 18:07:02,975 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 159.3 sec
2013-09-11 18:07:03,987 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 159.3 sec
MapReduce Total cumulative CPU time: 2 minutes 39 seconds 300 msec
Ended Job = job_201309101627_0220
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 159.3 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 39 seconds 300 msec
OK
10000000
Time taken: 71.026 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_836@mturlrep13_201309111807_561551889.txt
hive> ;
hive> quit;
times: 3
query: SELECT count(*) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1313@mturlrep13_201309111807_1846613812.txt
hive> SELECT count(*) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0221
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:07:18,418 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:07:25,501 Stage-1 map = 7%, reduce = 0%
2013-09-11 18:07:31,523 Stage-1 map = 14%, reduce = 0%
2013-09-11 18:07:34,537 Stage-1 map = 22%, reduce = 0%
2013-09-11 18:07:37,547 Stage-1 map = 25%, reduce = 0%
2013-09-11 18:07:38,551 Stage-1 map = 29%, reduce = 0%
2013-09-11 18:07:40,559 Stage-1 map = 32%, reduce = 0%
2013-09-11 18:07:41,564 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:07:43,571 Stage-1 map = 39%, reduce = 0%
2013-09-11 18:07:47,591 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:48,598 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:49,609 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:50,615 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:51,620 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:52,625 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:53,630 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 85.17 sec
2013-09-11 18:07:54,635 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 85.17 sec
2013-09-11 18:07:55,640 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:07:56,660 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:07:57,668 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:07:58,672 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:07:59,676 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:00,681 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:01,685 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:02,690 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:03,694 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:04,699 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:05,703 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:06,708 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:07,712 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:08,716 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:09,720 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:10,725 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:11,729 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 107.69 sec
2013-09-11 18:08:12,734 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 128.12 sec
2013-09-11 18:08:13,739 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 128.12 sec
2013-09-11 18:08:14,743 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.45 sec
2013-09-11 18:08:15,747 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.45 sec
2013-09-11 18:08:16,752 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.45 sec
2013-09-11 18:08:17,859 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.45 sec
2013-09-11 18:08:18,863 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 152.45 sec
2013-09-11 18:08:19,868 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 152.45 sec
2013-09-11 18:08:20,874 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 154.14 sec
2013-09-11 18:08:21,879 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 154.14 sec
MapReduce Total cumulative CPU time: 2 minutes 34 seconds 140 msec
Ended Job = job_201309101627_0221
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 154.14 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 34 seconds 140 msec
OK
10000000
Time taken: 71.919 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3224@mturlrep13_201309111808_410663518.txt
hive> ;
hive> quit;
times: 1
query: SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3703@mturlrep13_201309111808_1060047951.txt
hive> SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0222
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:08:42,497 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:08:47,524 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:48,531 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:49,539 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:50,546 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:51,551 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:52,557 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.16 sec
2013-09-11 18:08:53,563 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.25 sec
2013-09-11 18:08:54,568 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.25 sec
2013-09-11 18:08:55,574 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 23.94 sec
2013-09-11 18:08:56,582 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.2 sec
2013-09-11 18:08:57,609 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.2 sec
MapReduce Total cumulative CPU time: 25 seconds 200 msec
Ended Job = job_201309101627_0222
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.2 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 200 msec
OK
171127
Time taken: 24.984 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5325@mturlrep13_201309111808_1536943547.txt
hive> ;
hive> quit;
times: 2
query: SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5808@mturlrep13_201309111809_1398241978.txt
hive> SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0223
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:09:11,922 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:09:15,946 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.33 sec
2013-09-11 18:09:16,954 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.33 sec
2013-09-11 18:09:17,965 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.33 sec
2013-09-11 18:09:18,971 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.33 sec
2013-09-11 18:09:19,977 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.33 sec
2013-09-11 18:09:20,983 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 17.02 sec
2013-09-11 18:09:21,989 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.14 sec
2013-09-11 18:09:22,995 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.14 sec
2013-09-11 18:09:24,000 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 23.14 sec
2013-09-11 18:09:25,007 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.1 sec
2013-09-11 18:09:26,014 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.1 sec
MapReduce Total cumulative CPU time: 25 seconds 100 msec
Ended Job = job_201309101627_0223
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.1 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 100 msec
OK
171127
Time taken: 22.815 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7174@mturlrep13_201309111809_1436708878.txt
hive> ;
hive> quit;
times: 3
query: SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7626@mturlrep13_201309111809_1436982971.txt
hive> SELECT count(*) FROM hits_10m WHERE AdvEngineID != 0;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0224
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:09:40,309 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:09:44,332 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 6.0 sec
2013-09-11 18:09:45,340 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.79 sec
2013-09-11 18:09:46,348 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.79 sec
2013-09-11 18:09:47,354 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.79 sec
2013-09-11 18:09:48,360 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.79 sec
2013-09-11 18:09:49,367 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.73 sec
2013-09-11 18:09:50,372 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.73 sec
2013-09-11 18:09:51,378 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.73 sec
2013-09-11 18:09:52,384 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 23.73 sec
2013-09-11 18:09:53,392 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.56 sec
2013-09-11 18:09:54,397 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.56 sec
MapReduce Total cumulative CPU time: 25 seconds 560 msec
Ended Job = job_201309101627_0224
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.56 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 560 msec
OK
171127
Time taken: 22.71 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9005@mturlrep13_201309111810_1951461595.txt
hive> ;
hive> quit;
times: 1
query: SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9573@mturlrep13_201309111810_1888842341.txt
hive> SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0225
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:10:15,477 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:10:23,514 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:24,522 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:25,528 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:26,534 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:27,540 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:28,545 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:29,552 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.01 sec
2013-09-11 18:10:30,558 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:31,563 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:32,568 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:33,573 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:34,578 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:35,583 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.01 sec
2013-09-11 18:10:36,590 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.1 sec
2013-09-11 18:10:37,595 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.1 sec
MapReduce Total cumulative CPU time: 35 seconds 100 msec
Ended Job = job_201309101627_0225
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 35.1 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 35 seconds 100 msec
OK
Time taken: 32.289 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11687@mturlrep13_201309111810_1411263650.txt
hive> ;
hive> quit;
times: 2
query: SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12147@mturlrep13_201309111810_146667107.txt
hive> SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0226
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:10:51,464 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:10:58,498 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:10:59,506 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:11:00,512 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:11:01,518 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:11:02,523 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:11:03,529 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-11 18:11:04,535 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 23.49 sec
2013-09-11 18:11:05,540 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 31.49 sec
2013-09-11 18:11:06,545 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.49 sec
2013-09-11 18:11:07,550 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.49 sec
2013-09-11 18:11:08,555 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.49 sec
2013-09-11 18:11:09,560 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.49 sec
2013-09-11 18:11:10,565 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.49 sec
2013-09-11 18:11:11,572 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
2013-09-11 18:11:12,577 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
2013-09-11 18:11:13,582 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
MapReduce Total cumulative CPU time: 33 seconds 460 msec
Ended Job = job_201309101627_0226
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 33.46 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 460 msec
OK
Time taken: 30.316 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13663@mturlrep13_201309111811_609536671.txt
hive> ;
hive> quit;
times: 3
query: SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_14110@mturlrep13_201309111811_1164319988.txt
hive> SELECT sum(AdvEngineID), count(*), avg(ResolutionWidth) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0227
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:11:27,691 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:11:33,721 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:34,728 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:35,735 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:36,740 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:37,746 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:38,751 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:39,757 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.15 sec
2013-09-11 18:11:40,762 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 32.31 sec
2013-09-11 18:11:41,768 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.31 sec
2013-09-11 18:11:42,773 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.31 sec
2013-09-11 18:11:43,777 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.31 sec
2013-09-11 18:11:44,781 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.31 sec
2013-09-11 18:11:45,786 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.31 sec
2013-09-11 18:11:46,793 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.38 sec
2013-09-11 18:11:47,799 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.38 sec
2013-09-11 18:11:48,804 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.38 sec
MapReduce Total cumulative CPU time: 34 seconds 380 msec
Ended Job = job_201309101627_0227
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 34.38 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 34 seconds 380 msec
OK
Time taken: 29.584 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15640@mturlrep13_201309111811_1787412572.txt
hive> ;
hive> quit;
times: 1
query: SELECT sum(UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16152@mturlrep13_201309111812_1844919592.txt
hive> SELECT sum(UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0228
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:12:10,652 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:12:17,682 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:18,689 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:19,695 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:20,701 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:21,706 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:22,711 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:23,717 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.4 sec
2013-09-11 18:12:24,722 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:25,728 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:26,732 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:27,737 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:28,741 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:29,745 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.64 sec
2013-09-11 18:12:30,752 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.61 sec
2013-09-11 18:12:31,758 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.61 sec
2013-09-11 18:12:32,762 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.61 sec
MapReduce Total cumulative CPU time: 32 seconds 610 msec
Ended Job = job_201309101627_0228
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 32.61 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 32 seconds 610 msec
OK
-4662894107982093709
Time taken: 32.018 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_17658@mturlrep13_201309111812_1917152659.txt
hive> ;
hive> quit;
times: 2
query: SELECT sum(UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18081@mturlrep13_201309111812_969986372.txt
hive> SELECT sum(UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0229
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:12:46,636 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:12:52,673 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 7.62 sec
2013-09-11 18:12:53,681 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.58 sec
2013-09-11 18:12:54,687 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.58 sec
2013-09-11 18:12:55,692 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.58 sec
2013-09-11 18:12:56,698 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.58 sec
2013-09-11 18:12:57,704 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.58 sec
2013-09-11 18:12:58,710 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 22.97 sec
2013-09-11 18:12:59,715 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:00,721 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:01,726 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:02,731 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:03,736 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:04,740 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.12 sec
2013-09-11 18:13:05,747 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.15 sec
2013-09-11 18:13:06,752 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.15 sec
2013-09-11 18:13:07,757 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.15 sec
MapReduce Total cumulative CPU time: 32 seconds 150 msec
Ended Job = job_201309101627_0229
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 32.15 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 32 seconds 150 msec
OK
-4662894107982093709
Time taken: 29.424 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19726@mturlrep13_201309111813_601476946.txt
hive> ;
hive> quit;
times: 3
query: SELECT sum(UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20163@mturlrep13_201309111813_458490060.txt
hive> SELECT sum(UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0230
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:13:22,398 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:13:28,444 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:29,452 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:30,459 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:31,464 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:32,470 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:33,476 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:13:34,481 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 29.52 sec
2013-09-11 18:13:35,486 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 29.52 sec
2013-09-11 18:13:36,493 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.4 sec
2013-09-11 18:13:37,500 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.4 sec
MapReduce Total cumulative CPU time: 31 seconds 400 msec
Ended Job = job_201309101627_0230
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 31.4 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 31 seconds 400 msec
OK
-4662894107982093709
Time taken: 23.314 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21535@mturlrep13_201309111813_1532287977.txt
hive> ;
hive> quit;
times: 1
query: SELECT count(DISTINCT UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22021@mturlrep13_201309111813_1807628976.txt
hive> SELECT count(DISTINCT UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0231
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:13:58,394 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:14:05,419 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:14:08,436 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:09,442 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:10,449 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:11,454 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:12,460 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:13,466 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:14,471 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:15,518 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.36 sec
2013-09-11 18:14:16,523 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.36 sec
2013-09-11 18:14:17,529 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.36 sec
2013-09-11 18:14:18,535 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 40.6 sec
2013-09-11 18:14:19,551 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:20,556 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:21,561 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:22,566 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:23,572 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:24,576 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.46 sec
2013-09-11 18:14:25,581 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 55.46 sec
2013-09-11 18:14:26,589 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.41 sec
2013-09-11 18:14:27,646 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.41 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 410 msec
Ended Job = job_201309101627_0231
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 63.41 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 3 seconds 410 msec
OK
2037258
Time taken: 39.018 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_23547@mturlrep13_201309111814_32240262.txt
hive> ;
hive> quit;
times: 2
query: SELECT count(DISTINCT UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24000@mturlrep13_201309111814_899622484.txt
hive> SELECT count(DISTINCT UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0232
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:14:41,528 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:14:48,560 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:14:50,573 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 14.3 sec
2013-09-11 18:14:51,581 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:52,588 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:53,594 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:54,599 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:55,606 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:56,613 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:57,619 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.07 sec
2013-09-11 18:14:58,625 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.07 sec
2013-09-11 18:14:59,630 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.07 sec
2013-09-11 18:15:00,635 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:01,640 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:02,645 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:03,651 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:04,656 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:05,661 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:06,667 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 18:15:07,672 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 55.82 sec
2013-09-11 18:15:08,679 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.98 sec
2013-09-11 18:15:09,685 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.98 sec
2013-09-11 18:15:10,690 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.98 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 980 msec
Ended Job = job_201309101627_0232
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 63.98 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 3 seconds 980 msec
OK
2037258
Time taken: 37.449 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_25822@mturlrep13_201309111815_360131093.txt
hive> ;
hive> quit;
times: 3
query: SELECT count(DISTINCT UserID) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_26668@mturlrep13_201309111815_984788128.txt
hive> SELECT count(DISTINCT UserID) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0233
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:15:23,620 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:15:31,655 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:15:33,669 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:34,676 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:35,683 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:36,689 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:37,695 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:38,702 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:39,708 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.26 sec
2013-09-11 18:15:40,713 Stage-1 map = 72%, reduce = 17%, Cumulative CPU 24.26 sec
2013-09-11 18:15:41,718 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 24.26 sec
2013-09-11 18:15:42,723 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 36.34 sec
2013-09-11 18:15:43,727 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:44,732 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:45,737 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:46,741 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:47,746 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:48,751 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.93 sec
2013-09-11 18:15:49,755 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 49.93 sec
2013-09-11 18:15:50,762 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.65 sec
2013-09-11 18:15:51,767 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.65 sec
2013-09-11 18:15:52,773 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.65 sec
MapReduce Total cumulative CPU time: 57 seconds 650 msec
Ended Job = job_201309101627_0233
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 57.65 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 57 seconds 650 msec
OK
2037258
Time taken: 36.433 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28232@mturlrep13_201309111815_1215288015.txt
hive> ;
hive> quit;
times: 1
query: SELECT count(DISTINCT SearchPhrase) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28709@mturlrep13_201309111816_1499620624.txt
hive> SELECT count(DISTINCT SearchPhrase) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0234
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:16:13,939 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:16:20,965 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:16:22,978 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:23,985 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:24,992 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:25,998 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:27,004 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:28,010 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:29,016 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.31 sec
2013-09-11 18:16:30,021 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 22.31 sec
2013-09-11 18:16:31,026 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 32.71 sec
2013-09-11 18:16:32,031 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:33,035 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:34,040 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:35,045 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:36,050 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:37,055 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:38,060 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.17 sec
2013-09-11 18:16:39,065 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 44.17 sec
2013-09-11 18:16:40,073 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 51.78 sec
2013-09-11 18:16:41,078 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 51.78 sec
2013-09-11 18:16:42,083 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 51.78 sec
MapReduce Total cumulative CPU time: 51 seconds 780 msec
Ended Job = job_201309101627_0234
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 51.78 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 51 seconds 780 msec
OK
1110413
Time taken: 38.322 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30252@mturlrep13_201309111816_93736906.txt
hive> ;
hive> quit;
times: 2
query: SELECT count(DISTINCT SearchPhrase) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30689@mturlrep13_201309111816_96459731.txt
hive> SELECT count(DISTINCT SearchPhrase) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0235
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:16:55,164 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:17:03,202 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:17:04,212 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:05,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:06,226 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:07,232 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:08,237 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:09,243 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:10,250 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-11 18:17:11,255 Stage-1 map = 72%, reduce = 17%, Cumulative CPU 22.55 sec
2013-09-11 18:17:12,261 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:13,266 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:14,271 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:15,275 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:16,280 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:17,285 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:18,290 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:19,296 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.9 sec
2013-09-11 18:17:20,301 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 44.9 sec
2013-09-11 18:17:21,309 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.41 sec
2013-09-11 18:17:22,314 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.41 sec
MapReduce Total cumulative CPU time: 52 seconds 410 msec
Ended Job = job_201309101627_0235
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 52.41 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 52 seconds 410 msec
OK
1110413
Time taken: 34.532 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_32218@mturlrep13_201309111817_1630955863.txt
hive> ;
hive> quit;
times: 3
query: SELECT count(DISTINCT SearchPhrase) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_32645@mturlrep13_201309111817_1064457391.txt
hive> SELECT count(DISTINCT SearchPhrase) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0236
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:17:35,486 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:17:43,516 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:17:44,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:45,533 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:46,539 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:47,545 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:48,550 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:49,556 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:50,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.45 sec
2013-09-11 18:17:51,568 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 21.45 sec
2013-09-11 18:17:52,573 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.27 sec
2013-09-11 18:17:53,578 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.27 sec
2013-09-11 18:17:54,583 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.27 sec
2013-09-11 18:17:55,588 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.27 sec
2013-09-11 18:17:56,593 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.2 sec
2013-09-11 18:17:57,598 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.2 sec
2013-09-11 18:17:58,604 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.2 sec
2013-09-11 18:17:59,609 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.2 sec
2013-09-11 18:18:00,614 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 44.2 sec
2013-09-11 18:18:01,621 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.93 sec
2013-09-11 18:18:02,626 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.93 sec
MapReduce Total cumulative CPU time: 50 seconds 930 msec
Ended Job = job_201309101627_0236
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 50.93 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 50 seconds 930 msec
OK
1110413
Time taken: 34.523 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1798@mturlrep13_201309111818_1042447198.txt
hive> ;
hive> quit;
times: 1
query: SELECT min(EventDate), max(EventDate) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2299@mturlrep13_201309111818_765489992.txt
hive> SELECT min(EventDate), max(EventDate) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0237
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:18:24,738 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:18:30,765 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:31,772 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:32,778 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:33,784 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:34,789 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:35,795 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.26 sec
2013-09-11 18:18:36,801 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 27.81 sec
2013-09-11 18:18:37,806 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 27.81 sec
2013-09-11 18:18:38,811 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 27.81 sec
2013-09-11 18:18:39,816 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 27.81 sec
2013-09-11 18:18:40,821 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 27.81 sec
2013-09-11 18:18:41,826 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 27.81 sec
2013-09-11 18:18:42,832 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 27.81 sec
2013-09-11 18:18:43,839 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 29.81 sec
2013-09-11 18:18:44,844 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 29.81 sec
2013-09-11 18:18:45,849 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 29.81 sec
MapReduce Total cumulative CPU time: 29 seconds 810 msec
Ended Job = job_201309101627_0237
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 29.81 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 810 msec
OK
Time taken: 31.306 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3746@mturlrep13_201309111818_1331650833.txt
hive> ;
hive> quit;
times: 2
query: SELECT min(EventDate), max(EventDate) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4171@mturlrep13_201309111818_897231302.txt
hive> SELECT min(EventDate), max(EventDate) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0238
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:18:59,980 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:19:05,006 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:06,013 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:07,020 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:08,025 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:09,030 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:10,036 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.74 sec
2013-09-11 18:19:11,041 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.68 sec
2013-09-11 18:19:12,046 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.68 sec
2013-09-11 18:19:13,054 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 26.68 sec
2013-09-11 18:19:14,061 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.62 sec
2013-09-11 18:19:15,068 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.62 sec
MapReduce Total cumulative CPU time: 28 seconds 620 msec
Ended Job = job_201309101627_0238
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 28.62 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 28 seconds 620 msec
OK
Time taken: 23.519 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5847@mturlrep13_201309111819_1092177982.txt
hive> ;
hive> quit;
times: 3
query: SELECT min(EventDate), max(EventDate) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6293@mturlrep13_201309111819_874118653.txt
hive> SELECT min(EventDate), max(EventDate) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0239
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 18:19:28,271 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:19:34,299 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:35,306 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:36,314 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:37,319 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:38,324 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:39,330 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.64 sec
2013-09-11 18:19:40,336 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.97 sec
2013-09-11 18:19:41,341 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.97 sec
2013-09-11 18:19:42,347 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 26.97 sec
2013-09-11 18:19:43,354 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.77 sec
2013-09-11 18:19:44,360 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.77 sec
MapReduce Total cumulative CPU time: 28 seconds 770 msec
Ended Job = job_201309101627_0239
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 28.77 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 28 seconds 770 msec
OK
Time taken: 23.402 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7692@mturlrep13_201309111819_276347275.txt
hive> ;
hive> quit;
times: 1
query: SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8135@mturlrep13_201309111819_385716024.txt
hive> SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0240
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:20:04,638 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:20:10,670 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:11,678 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:12,685 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:13,692 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:14,698 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:15,704 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.51 sec
2013-09-11 18:20:16,710 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.33 sec
2013-09-11 18:20:17,716 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 24.33 sec
2013-09-11 18:20:18,724 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.27 sec
2013-09-11 18:20:19,731 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.27 sec
2013-09-11 18:20:20,737 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.27 sec
MapReduce Total cumulative CPU time: 28 seconds 270 msec
Ended Job = job_201309101627_0240
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0241
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:20:24,339 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:20:25,345 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:26,351 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:27,356 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:28,361 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:29,366 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:30,371 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:31,376 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:32,391 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 18:20:33,396 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
2013-09-11 18:20:34,401 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
2013-09-11 18:20:35,407 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
MapReduce Total cumulative CPU time: 2 seconds 180 msec
Ended Job = job_201309101627_0241
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 28.27 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.18 sec HDFS Read: 1153 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 30 seconds 450 msec
OK
Time taken: 40.897 seconds, Fetched: 9 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_10933@mturlrep13_201309111820_1327597176.txt
hive> ;
hive> quit;
times: 2
query: SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11362@mturlrep13_201309111820_1775916404.txt
hive> SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0242
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:20:50,332 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:20:54,363 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 5.92 sec
2013-09-11 18:20:55,371 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.99 sec
2013-09-11 18:20:56,378 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.99 sec
2013-09-11 18:20:57,385 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.99 sec
2013-09-11 18:20:58,392 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.99 sec
2013-09-11 18:20:59,398 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.48 sec
2013-09-11 18:21:00,404 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.48 sec
2013-09-11 18:21:01,410 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.48 sec
2013-09-11 18:21:02,418 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 25.33 sec
2013-09-11 18:21:03,425 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.22 sec
2013-09-11 18:21:04,432 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.22 sec
MapReduce Total cumulative CPU time: 27 seconds 220 msec
Ended Job = job_201309101627_0242
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0243
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:21:06,978 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:21:08,988 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:09,993 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:10,998 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:12,002 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:13,019 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:14,024 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:15,029 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:16,035 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.77 sec
2013-09-11 18:21:17,040 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
2013-09-11 18:21:18,046 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
2013-09-11 18:21:19,051 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
MapReduce Total cumulative CPU time: 2 seconds 160 msec
Ended Job = job_201309101627_0243
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 27.22 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.16 sec HDFS Read: 1153 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 380 msec
OK
Time taken: 36.981 seconds, Fetched: 9 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13448@mturlrep13_201309111821_1010315846.txt
hive> ;
hive> quit;
times: 3
query: SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13877@mturlrep13_201309111821_1055383868.txt
hive> SELECT AdvEngineID, count(*) AS c FROM hits_10m WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY c DESC;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0244
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:21:32,304 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:21:38,338 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.77 sec
2013-09-11 18:21:39,346 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.77 sec
2013-09-11 18:21:40,353 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.77 sec
2013-09-11 18:21:41,360 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.77 sec
2013-09-11 18:21:42,366 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 17.34 sec
2013-09-11 18:21:43,373 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.62 sec
2013-09-11 18:21:44,379 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.62 sec
2013-09-11 18:21:45,385 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 23.62 sec
2013-09-11 18:21:46,393 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.25 sec
2013-09-11 18:21:47,400 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.25 sec
MapReduce Total cumulative CPU time: 27 seconds 250 msec
Ended Job = job_201309101627_0244
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0245
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:21:50,923 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:21:52,932 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:53,938 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:54,943 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:55,948 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:56,954 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:57,960 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:58,964 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 18:21:59,970 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
2013-09-11 18:22:00,976 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
2013-09-11 18:22:01,982 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
MapReduce Total cumulative CPU time: 2 seconds 130 msec
Ended Job = job_201309101627_0245
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 27.25 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.13 sec HDFS Read: 1153 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 380 msec
OK
Time taken: 37.244 seconds, Fetched: 9 row(s)
hive> quit;
-- мощная фильтрация. После фильтрации почти ничего не остаётся, но делаем ещё агрегацию.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15957@mturlrep13_201309111822_240108876.txt
hive> ;
hive> quit;
times: 1
query: SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16471@mturlrep13_201309111822_1455089061.txt
hive> SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0246
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:22:22,925 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:22:29,950 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:22:32,967 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 14.49 sec
2013-09-11 18:22:33,975 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:34,984 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:35,990 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:36,996 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:38,003 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:39,008 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:40,015 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.57 sec
2013-09-11 18:22:41,021 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.57 sec
2013-09-11 18:22:42,026 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.57 sec
2013-09-11 18:22:43,032 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.57 sec
2013-09-11 18:22:44,038 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:22:45,043 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:22:46,049 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:22:47,055 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:22:48,060 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:22:49,067 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 63.29 sec
2013-09-11 18:22:50,073 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 63.29 sec
2013-09-11 18:22:51,079 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.54 sec
2013-09-11 18:22:52,084 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.54 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 540 msec
Ended Job = job_201309101627_0246
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0247
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:22:54,572 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:22:56,582 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:22:57,589 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:22:58,594 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:22:59,600 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:23:00,605 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:23:01,610 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:23:02,688 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:23:03,693 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:23:04,698 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.16 sec
2013-09-11 18:23:05,704 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.16 sec
2013-09-11 18:23:06,709 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.16 sec
MapReduce Total cumulative CPU time: 3 seconds 160 msec
Ended Job = job_201309101627_0247
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.54 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.16 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 700 msec
OK
Time taken: 53.83 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18961@mturlrep13_201309111823_617403759.txt
hive> ;
hive> quit;
times: 2
query: SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19391@mturlrep13_201309111823_22985485.txt
hive> SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0248
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:23:19,790 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:23:27,823 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:23:29,837 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 14.01 sec
2013-09-11 18:23:30,846 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:31,853 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:32,859 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:33,865 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:34,872 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:35,878 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:36,884 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.85 sec
2013-09-11 18:23:37,890 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.85 sec
2013-09-11 18:23:38,896 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.85 sec
2013-09-11 18:23:39,902 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 43.08 sec
2013-09-11 18:23:40,908 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:23:41,913 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:23:42,919 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:23:43,925 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:23:44,930 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 18:23:45,937 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 63.27 sec
2013-09-11 18:23:46,943 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 63.27 sec
2013-09-11 18:23:47,949 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.4 sec
2013-09-11 18:23:48,954 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.4 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 400 msec
Ended Job = job_201309101627_0248
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0249
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:23:51,398 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:23:54,410 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:23:55,416 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:23:56,421 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:23:57,427 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:23:58,432 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:23:59,438 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:24:00,443 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.63 sec
2013-09-11 18:24:01,464 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 1.63 sec
2013-09-11 18:24:02,470 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.23 sec
2013-09-11 18:24:03,476 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.23 sec
MapReduce Total cumulative CPU time: 3 seconds 230 msec
Ended Job = job_201309101627_0249
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.4 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.23 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 630 msec
OK
Time taken: 51.073 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21591@mturlrep13_201309111824_608372135.txt
hive> ;
hive> quit;
times: 3
query: SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22042@mturlrep13_201309111824_581555967.txt
hive> SELECT RegionID, count(DISTINCT UserID) AS u FROM hits_10m GROUP BY RegionID ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0250
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:24:16,471 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:24:24,501 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:24:26,515 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 14.52 sec
2013-09-11 18:24:27,522 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:28,532 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:29,538 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:30,544 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:31,551 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:32,557 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:33,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.86 sec
2013-09-11 18:24:34,568 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.86 sec
2013-09-11 18:24:35,573 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.86 sec
2013-09-11 18:24:36,578 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.86 sec
2013-09-11 18:24:37,584 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.7 sec
2013-09-11 18:24:38,589 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.7 sec
2013-09-11 18:24:39,595 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.7 sec
2013-09-11 18:24:40,600 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.7 sec
2013-09-11 18:24:41,605 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.7 sec
2013-09-11 18:24:42,613 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 64.21 sec
2013-09-11 18:24:43,618 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 64.21 sec
2013-09-11 18:24:44,625 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 71.23 sec
2013-09-11 18:24:45,630 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 71.23 sec
MapReduce Total cumulative CPU time: 1 minutes 11 seconds 230 msec
Ended Job = job_201309101627_0250
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0251
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:24:49,129 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:24:51,138 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:52,144 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:53,149 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:54,154 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:55,160 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:56,165 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:57,171 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.5 sec
2013-09-11 18:24:58,176 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.01 sec
2013-09-11 18:24:59,181 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.01 sec
2013-09-11 18:25:00,186 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.01 sec
MapReduce Total cumulative CPU time: 3 seconds 10 msec
Ended Job = job_201309101627_0251
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 71.23 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.01 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 14 seconds 240 msec
OK
Time taken: 51.083 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация, среднее количество ключей.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24272@mturlrep13_201309111825_819364546.txt
hive> ;
hive> quit;
times: 1
query: SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_25048@mturlrep13_201309111825_117221208.txt
hive> SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0252
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:25:21,952 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:25:28,978 Stage-1 map = 29%, reduce = 0%
2013-09-11 18:25:31,990 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:25:35,008 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:36,015 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:37,023 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:38,029 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:39,034 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:40,040 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:41,045 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:42,050 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.17 sec
2013-09-11 18:25:43,055 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 35.17 sec
2013-09-11 18:25:44,060 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 35.17 sec
2013-09-11 18:25:45,065 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 35.17 sec
2013-09-11 18:25:46,070 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 35.17 sec
2013-09-11 18:25:47,098 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 35.17 sec
2013-09-11 18:25:48,104 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:49,109 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:50,114 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:51,119 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:52,124 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:53,129 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:54,135 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:55,140 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:56,146 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.29 sec
2013-09-11 18:25:57,154 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 75.46 sec
2013-09-11 18:25:58,160 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 83.41 sec
2013-09-11 18:25:59,225 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.91 sec
2013-09-11 18:26:00,231 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.91 sec
MapReduce Total cumulative CPU time: 1 minutes 24 seconds 910 msec
Ended Job = job_201309101627_0252
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0253
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:26:03,726 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:26:05,734 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:06,738 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:07,742 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:08,747 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:09,786 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:10,790 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:11,795 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.54 sec
2013-09-11 18:26:12,800 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 1.54 sec
2013-09-11 18:26:13,805 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.09 sec
2013-09-11 18:26:14,810 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.09 sec
MapReduce Total cumulative CPU time: 3 seconds 90 msec
Ended Job = job_201309101627_0253
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 84.91 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.09 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 28 seconds 0 msec
OK
Time taken: 63.196 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27967@mturlrep13_201309111826_889850944.txt
hive> ;
hive> quit;
times: 2
query: SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28412@mturlrep13_201309111826_925180195.txt
hive> SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0254
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:26:33,670 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:26:40,696 Stage-1 map = 29%, reduce = 0%
2013-09-11 18:26:43,708 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:26:46,726 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:47,733 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:48,741 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:49,748 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:50,753 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:51,760 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:52,765 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.26 sec
2013-09-11 18:26:53,771 Stage-1 map = 80%, reduce = 8%, Cumulative CPU 33.26 sec
2013-09-11 18:26:54,795 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 33.26 sec
2013-09-11 18:26:55,800 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 33.26 sec
2013-09-11 18:26:56,806 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.26 sec
2013-09-11 18:26:57,813 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 60.67 sec
2013-09-11 18:26:58,820 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 60.67 sec
2013-09-11 18:26:59,826 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:00,831 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:01,837 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:02,843 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:03,849 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:04,854 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:05,859 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:06,865 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:07,870 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:27:08,878 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 75.48 sec
2013-09-11 18:27:09,884 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 75.48 sec
2013-09-11 18:27:10,890 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.13 sec
2013-09-11 18:27:11,896 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.13 sec
MapReduce Total cumulative CPU time: 1 minutes 24 seconds 130 msec
Ended Job = job_201309101627_0254
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0255
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:27:15,439 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:27:17,447 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:18,451 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:19,457 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:20,462 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:21,467 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:22,472 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:23,477 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.56 sec
2013-09-11 18:27:24,482 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.15 sec
2013-09-11 18:27:25,487 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.15 sec
2013-09-11 18:27:26,493 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.15 sec
MapReduce Total cumulative CPU time: 3 seconds 150 msec
Ended Job = job_201309101627_0255
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 84.13 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.15 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 27 seconds 280 msec
OK
Time taken: 65.921 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31044@mturlrep13_201309111827_588046604.txt
hive> ;
hive> quit;
times: 3
query: SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31497@mturlrep13_201309111827_1421279621.txt
hive> SELECT RegionID, sum(AdvEngineID), count(*) AS c, avg(ResolutionWidth), count(DISTINCT UserID) FROM hits_10m GROUP BY RegionID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0256
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:27:41,761 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:27:49,791 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:27:52,803 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:27:54,818 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:27:55,825 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:27:56,833 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:27:57,840 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:27:58,846 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:27:59,852 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:28:00,858 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.22 sec
2013-09-11 18:28:01,864 Stage-1 map = 88%, reduce = 8%, Cumulative CPU 34.22 sec
2013-09-11 18:28:02,869 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.22 sec
2013-09-11 18:28:03,875 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.22 sec
2013-09-11 18:28:04,881 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.22 sec
2013-09-11 18:28:05,887 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.22 sec
2013-09-11 18:28:06,892 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 50.09 sec
2013-09-11 18:28:07,897 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:08,903 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:09,908 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:10,914 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:11,920 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:12,925 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:13,930 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:14,936 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:15,941 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.82 sec
2013-09-11 18:28:16,948 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 76.29 sec
2013-09-11 18:28:17,953 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 76.29 sec
2013-09-11 18:28:19,811 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 76.29 sec
2013-09-11 18:28:20,994 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 86.22 sec
2013-09-11 18:28:22,073 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 86.22 sec
2013-09-11 18:28:23,078 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 86.22 sec
2013-09-11 18:28:24,083 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 86.22 sec
MapReduce Total cumulative CPU time: 1 minutes 26 seconds 220 msec
Ended Job = job_201309101627_0256
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0257
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:28:30,225 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:28:35,317 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:36,331 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:37,335 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:38,340 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:39,345 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:40,350 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:41,354 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:42,359 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:43,364 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:44,369 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:45,374 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.67 sec
2013-09-11 18:28:46,379 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.31 sec
2013-09-11 18:28:47,384 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.31 sec
2013-09-11 18:28:48,389 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.31 sec
2013-09-11 18:28:49,395 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.31 sec
2013-09-11 18:28:50,400 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.31 sec
MapReduce Total cumulative CPU time: 3 seconds 310 msec
Ended Job = job_201309101627_0257
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 86.22 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.31 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 29 seconds 530 msec
OK
Time taken: 77.923 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация, среднее количество ключей, несколько агрегатных функций.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2540@mturlrep13_201309111828_1228944488.txt
hive> ;
hive> quit;
times: 1
query: SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3275@mturlrep13_201309111829_1496747935.txt
hive> SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0258
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:29:20,524 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:29:27,560 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 6.02 sec
2013-09-11 18:29:28,569 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:29,577 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:30,585 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:31,592 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:32,598 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:33,605 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:34,611 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.58 sec
2013-09-11 18:29:35,618 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:36,623 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:37,629 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:38,634 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:39,640 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:40,645 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.88 sec
2013-09-11 18:29:41,653 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 32.47 sec
2013-09-11 18:29:42,660 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.02 sec
2013-09-11 18:29:43,666 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.02 sec
MapReduce Total cumulative CPU time: 36 seconds 20 msec
Ended Job = job_201309101627_0258
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0259
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:29:49,843 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:29:52,856 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:53,926 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:54,932 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:55,937 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:56,943 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:57,948 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:58,953 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:29:59,958 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:00,963 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:01,969 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:02,974 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:03,980 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:04,985 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:30:05,990 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.43 sec
2013-09-11 18:30:06,995 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.43 sec
2013-09-11 18:30:08,001 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.43 sec
2013-09-11 18:30:09,008 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.43 sec
2013-09-11 18:30:10,015 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.43 sec
MapReduce Total cumulative CPU time: 2 seconds 430 msec
Ended Job = job_201309101627_0259
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 36.02 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.43 sec HDFS Read: 21897 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 38 seconds 450 msec
OK
Time taken: 63.358 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7226@mturlrep13_201309111830_168478607.txt
hive> ;
hive> quit;
times: 2
query: SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8250@mturlrep13_201309111830_1240423626.txt
hive> SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0260
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:30:47,475 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:30:55,514 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:30:56,528 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:30:57,535 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:30:58,544 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:30:59,550 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:31:00,556 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:31:01,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:31:02,574 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.56 sec
2013-09-11 18:31:03,580 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 25.74 sec
2013-09-11 18:31:04,587 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 33.71 sec
2013-09-11 18:31:05,593 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 33.71 sec
2013-09-11 18:31:06,599 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 33.71 sec
2013-09-11 18:31:07,605 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.71 sec
2013-09-11 18:31:08,610 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.71 sec
2013-09-11 18:31:09,617 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 33.71 sec
2013-09-11 18:31:10,623 Stage-1 map = 100%, reduce = 42%, Cumulative CPU 33.71 sec
2013-09-11 18:31:11,643 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
2013-09-11 18:31:12,649 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
2013-09-11 18:31:13,655 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
2013-09-11 18:31:14,661 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
2013-09-11 18:31:15,668 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
2013-09-11 18:31:16,675 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.64 sec
MapReduce Total cumulative CPU time: 40 seconds 640 msec
Ended Job = job_201309101627_0260
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0261
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:31:21,465 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:31:23,474 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:24,479 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:25,485 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:26,490 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:27,495 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:28,501 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:29,506 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:31:30,511 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.51 sec
2013-09-11 18:31:31,516 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.51 sec
2013-09-11 18:31:32,521 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.51 sec
2013-09-11 18:31:33,527 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.51 sec
MapReduce Total cumulative CPU time: 2 seconds 510 msec
Ended Job = job_201309101627_0261
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 40.64 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.51 sec HDFS Read: 21897 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 150 msec
OK
Time taken: 71.328 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11493@mturlrep13_201309111831_1720637849.txt
hive> ;
hive> quit;
times: 3
query: SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12279@mturlrep13_201309111831_901895827.txt
hive> SELECT MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0262
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:32:03,855 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:32:10,590 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:32:12,950 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:13,958 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:14,965 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:15,972 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:16,978 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:17,984 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:18,990 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:19,997 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:21,002 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:22,009 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:23,014 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:24,021 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:25,027 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:26,034 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:27,040 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-11 18:32:28,046 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 20.25 sec
2013-09-11 18:32:29,052 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:30,059 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:31,064 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:32,070 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:33,076 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:34,081 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:35,088 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 28.79 sec
2013-09-11 18:32:36,120 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.98 sec
2013-09-11 18:32:37,126 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.98 sec
2013-09-11 18:32:38,133 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.98 sec
2013-09-11 18:32:39,226 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 35.98 sec
MapReduce Total cumulative CPU time: 35 seconds 980 msec
Ended Job = job_201309101627_0262
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0263
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:32:45,523 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:32:47,542 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:48,547 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:50,032 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:51,036 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:52,041 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:53,046 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:54,050 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 18:32:55,055 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.93 sec
2013-09-11 18:32:56,061 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.93 sec
2013-09-11 18:32:57,066 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 18:32:58,071 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 18:32:59,076 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 18:33:00,081 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 18:33:01,087 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 18:33:02,092 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
MapReduce Total cumulative CPU time: 2 seconds 440 msec
Ended Job = job_201309101627_0263
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 35.98 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.44 sec HDFS Read: 21897 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 38 seconds 420 msec
OK
Time taken: 75.971 seconds, Fetched: 10 row(s)
hive> quit;
-- мощная фильтрация по строкам, затем агрегация по строкам.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16116@mturlrep13_201309111833_605870459.txt
hive> ;
hive> quit;
times: 1
query: SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16886@mturlrep13_201309111833_202130159.txt
hive> SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0264
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:33:29,621 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:33:37,775 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:33:38,846 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:39,854 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:40,861 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:41,868 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:42,875 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:43,882 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:44,889 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:45,895 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:46,900 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:47,906 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:48,913 Stage-1 map = 88%, reduce = 0%, Cumulative CPU 16.67 sec
2013-09-11 18:33:49,918 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 33.02 sec
2013-09-11 18:33:50,924 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 33.02 sec
2013-09-11 18:33:51,930 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 33.02 sec
2013-09-11 18:33:52,936 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 33.02 sec
2013-09-11 18:33:53,941 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 33.02 sec
2013-09-11 18:33:55,094 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 33.02 sec
2013-09-11 18:33:56,113 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
2013-09-11 18:33:57,119 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
2013-09-11 18:33:58,125 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
2013-09-11 18:33:59,132 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
2013-09-11 18:34:00,138 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
2013-09-11 18:34:01,144 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.54 sec
MapReduce Total cumulative CPU time: 40 seconds 540 msec
Ended Job = job_201309101627_0264
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0265
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:34:04,726 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:34:06,735 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:07,741 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:08,746 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:09,751 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:10,756 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:11,761 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:12,766 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:13,771 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.95 sec
2013-09-11 18:34:14,777 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
2013-09-11 18:34:15,783 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
2013-09-11 18:34:16,788 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
MapReduce Total cumulative CPU time: 2 seconds 450 msec
Ended Job = job_201309101627_0265
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 40.54 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.45 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 990 msec
OK
Time taken: 60.019 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20052@mturlrep13_201309111834_786769685.txt
hive> ;
hive> quit;
times: 2
query: SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20585@mturlrep13_201309111834_648955611.txt
hive> SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0266
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:34:37,882 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:34:45,163 Stage-1 map = 21%, reduce = 0%
2013-09-11 18:34:46,294 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:47,302 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:48,310 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:49,317 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:50,323 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:51,330 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:52,338 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:53,345 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:54,351 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:55,357 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.03 sec
2013-09-11 18:34:56,364 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 15.03 sec
2013-09-11 18:34:57,370 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.28 sec
2013-09-11 18:34:58,377 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.28 sec
2013-09-11 18:34:59,383 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.94 sec
2013-09-11 18:35:00,389 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.94 sec
2013-09-11 18:35:01,395 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.94 sec
2013-09-11 18:35:02,401 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.94 sec
2013-09-11 18:35:03,410 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 39.58 sec
2013-09-11 18:35:04,417 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 39.58 sec
2013-09-11 18:35:05,447 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 39.58 sec
MapReduce Total cumulative CPU time: 39 seconds 580 msec
Ended Job = job_201309101627_0266
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0267
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:35:12,739 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:35:14,998 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:16,004 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:17,010 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:18,015 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:19,020 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:20,025 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:21,031 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:22,036 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:23,042 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.97 sec
2013-09-11 18:35:24,048 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
2013-09-11 18:35:25,053 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
2013-09-11 18:35:26,058 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
2013-09-11 18:35:27,064 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.45 sec
MapReduce Total cumulative CPU time: 2 seconds 450 msec
Ended Job = job_201309101627_0267
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 39.58 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.45 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 30 msec
OK
Time taken: 59.993 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24080@mturlrep13_201309111835_1895693790.txt
hive> ;
hive> quit;
times: 3
query: SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24734@mturlrep13_201309111835_1260739241.txt
hive> SELECT MobilePhone, MobilePhoneModel, count(DISTINCT UserID) AS u FROM hits_10m WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0268
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:35:59,129 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:36:06,189 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:07,197 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:08,207 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:09,214 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:10,222 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:11,228 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:12,234 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.87 sec
2013-09-11 18:36:13,241 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 30.46 sec
2013-09-11 18:36:14,248 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:15,254 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:16,260 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:17,266 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:18,272 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:19,278 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.46 sec
2013-09-11 18:36:20,286 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.87 sec
2013-09-11 18:36:21,292 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.87 sec
2013-09-11 18:36:22,300 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.87 sec
MapReduce Total cumulative CPU time: 37 seconds 870 msec
Ended Job = job_201309101627_0268
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0269
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:36:25,859 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:36:27,868 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:28,873 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:29,879 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:30,885 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:31,890 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:32,895 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:33,900 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.86 sec
2013-09-11 18:36:34,906 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
2013-09-11 18:36:35,911 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
2013-09-11 18:36:36,917 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
MapReduce Total cumulative CPU time: 2 seconds 280 msec
Ended Job = job_201309101627_0269
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 37.87 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.28 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 40 seconds 150 msec
OK
Time taken: 52.093 seconds, Fetched: 10 row(s)
hive> quit;
-- мощная фильтрация по строкам, затем агрегация по паре из числа и строки.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27342@mturlrep13_201309111836_1910306053.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27811@mturlrep13_201309111836_1213140572.txt
hive> SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0270
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:36:57,519 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:37:04,550 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:37:05,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:06,570 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:07,577 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:08,583 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:09,589 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:10,595 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:11,602 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.33 sec
2013-09-11 18:37:12,608 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 20.33 sec
2013-09-11 18:37:13,613 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:14,618 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:15,623 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:16,629 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:17,635 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:18,640 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:19,646 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:20,652 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.89 sec
2013-09-11 18:37:21,659 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 47.0 sec
2013-09-11 18:37:22,665 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 54.11 sec
2013-09-11 18:37:23,671 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 54.11 sec
MapReduce Total cumulative CPU time: 54 seconds 110 msec
Ended Job = job_201309101627_0270
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0271
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:37:26,224 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:37:34,251 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:37:36,259 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:37,265 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:38,269 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:39,274 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:40,279 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:41,284 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:42,289 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:43,294 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.77 sec
2013-09-11 18:37:44,300 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.77 sec
2013-09-11 18:37:45,306 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.08 sec
2013-09-11 18:37:46,312 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.08 sec
2013-09-11 18:37:47,317 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.08 sec
MapReduce Total cumulative CPU time: 18 seconds 80 msec
Ended Job = job_201309101627_0271
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 54.11 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.08 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 12 seconds 190 msec
OK
Time taken: 59.798 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30130@mturlrep13_201309111837_1070436156.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30577@mturlrep13_201309111837_1857751509.txt
hive> SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0272
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:38:00,966 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:38:09,007 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:10,015 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:11,023 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:12,029 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:13,036 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:14,042 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:15,050 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.49 sec
2013-09-11 18:38:16,057 Stage-1 map = 97%, reduce = 8%, Cumulative CPU 30.84 sec
2013-09-11 18:38:17,063 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:18,069 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:19,075 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:20,081 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:21,087 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:22,093 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:23,100 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:24,106 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.01 sec
2013-09-11 18:38:25,113 Stage-1 map = 100%, reduce = 56%, Cumulative CPU 41.01 sec
2013-09-11 18:38:26,122 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.19 sec
2013-09-11 18:38:27,128 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.19 sec
MapReduce Total cumulative CPU time: 56 seconds 190 msec
Ended Job = job_201309101627_0272
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0273
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:38:29,657 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:38:37,684 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:38:39,692 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:40,697 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:41,702 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:42,707 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:43,712 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:44,716 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:45,721 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.16 sec
2013-09-11 18:38:46,726 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.16 sec
2013-09-11 18:38:47,730 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.16 sec
2013-09-11 18:38:48,736 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.7 sec
2013-09-11 18:38:49,742 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.7 sec
2013-09-11 18:38:50,747 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.7 sec
MapReduce Total cumulative CPU time: 17 seconds 700 msec
Ended Job = job_201309101627_0273
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 56.19 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.7 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 890 msec
OK
Time taken: 57.143 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_415@mturlrep13_201309111838_1362426037.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_874@mturlrep13_201309111838_1940288899.txt
hive> SELECT SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0274
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:39:05,176 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:39:12,209 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:13,217 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:14,223 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:15,230 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:16,235 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:17,241 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:18,251 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.99 sec
2013-09-11 18:39:19,258 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 30.52 sec
2013-09-11 18:39:20,264 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:21,270 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:22,275 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:23,281 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:24,287 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:25,293 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:26,298 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:27,304 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:28,310 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.59 sec
2013-09-11 18:39:29,319 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 55.31 sec
2013-09-11 18:39:30,325 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 55.31 sec
2013-09-11 18:39:31,332 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 55.31 sec
MapReduce Total cumulative CPU time: 55 seconds 310 msec
Ended Job = job_201309101627_0274
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0275
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:39:33,849 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:39:41,877 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:39:43,918 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:44,924 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:45,929 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:46,934 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:47,939 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:48,944 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:49,948 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:50,954 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.1 sec
2013-09-11 18:39:52,010 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.1 sec
2013-09-11 18:39:53,015 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.36 sec
2013-09-11 18:39:54,020 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.36 sec
MapReduce Total cumulative CPU time: 17 seconds 360 msec
Ended Job = job_201309101627_0275
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 55.31 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.36 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 12 seconds 670 msec
OK
Time taken: 57.089 seconds, Fetched: 10 row(s)
hive> quit;
-- средняя фильтрация по строкам, затем агрегация по строкам, большое количество ключей.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3290@mturlrep13_201309111840_695958684.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3872@mturlrep13_201309111840_1093049561.txt
hive> SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0276
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:40:17,267 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:40:24,294 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:40:26,312 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:27,320 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:28,328 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:29,334 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:30,340 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:31,346 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:32,354 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:33,360 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.08 sec
2013-09-11 18:40:34,366 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 23.08 sec
2013-09-11 18:40:35,372 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 35.37 sec
2013-09-11 18:40:36,377 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:37,385 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:38,390 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:39,396 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:40,402 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:41,409 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:42,415 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.42 sec
2013-09-11 18:40:43,424 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 55.41 sec
2013-09-11 18:40:44,430 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.73 sec
2013-09-11 18:40:45,435 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.73 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 730 msec
Ended Job = job_201309101627_0276
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0277
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:40:48,962 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:40:55,985 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:40:57,993 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:40:58,999 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:00,004 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:01,009 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:02,013 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:03,018 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:04,023 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:05,028 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.39 sec
2013-09-11 18:41:06,034 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.39 sec
2013-09-11 18:41:07,040 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.97 sec
2013-09-11 18:41:08,046 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.97 sec
2013-09-11 18:41:09,051 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.97 sec
MapReduce Total cumulative CPU time: 17 seconds 970 msec
Ended Job = job_201309101627_0277
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 63.73 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.97 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 21 seconds 700 msec
OK
Time taken: 62.137 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7182@mturlrep13_201309111841_759539300.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7624@mturlrep13_201309111841_70388529.txt
hive> SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0278
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:41:23,258 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:41:30,293 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:41:31,306 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:32,314 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:33,321 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:34,328 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:35,334 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:36,341 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:37,348 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.41 sec
2013-09-11 18:41:38,355 Stage-1 map = 88%, reduce = 8%, Cumulative CPU 22.41 sec
2013-09-11 18:41:39,362 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 33.84 sec
2013-09-11 18:41:40,368 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:41,374 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:42,380 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:43,385 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:44,391 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:45,398 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:46,404 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.56 sec
2013-09-11 18:41:47,410 Stage-1 map = 100%, reduce = 52%, Cumulative CPU 45.56 sec
2013-09-11 18:41:48,416 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 45.56 sec
2013-09-11 18:41:49,424 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.28 sec
2013-09-11 18:41:50,430 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.28 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 280 msec
Ended Job = job_201309101627_0278
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0279
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:41:53,909 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:42:00,937 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:42:02,947 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:03,953 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:04,958 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:05,962 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:06,967 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:07,972 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:08,976 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:09,981 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.32 sec
2013-09-11 18:42:10,987 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.32 sec
2013-09-11 18:42:11,992 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.74 sec
2013-09-11 18:42:12,998 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.74 sec
2013-09-11 18:42:14,004 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.74 sec
MapReduce Total cumulative CPU time: 17 seconds 740 msec
Ended Job = job_201309101627_0279
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.28 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.74 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 20 seconds 20 msec
OK
Time taken: 59.295 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9991@mturlrep13_201309111842_1002615077.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_10431@mturlrep13_201309111842_612246455.txt
hive> SELECT SearchPhrase, count(DISTINCT UserID) AS u FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0280
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:42:27,139 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:42:35,171 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:42:36,186 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:37,194 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:38,202 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:39,209 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:40,215 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:41,222 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:42,229 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.88 sec
2013-09-11 18:42:43,236 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 22.88 sec
2013-09-11 18:42:44,242 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 34.43 sec
2013-09-11 18:42:45,247 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:46,277 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:47,283 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:48,288 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:49,294 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:50,299 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:51,305 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.67 sec
2013-09-11 18:42:52,311 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 46.67 sec
2013-09-11 18:42:53,319 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 54.9 sec
2013-09-11 18:42:54,326 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.26 sec
2013-09-11 18:42:55,333 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.26 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 260 msec
Ended Job = job_201309101627_0280
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0281
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:42:57,815 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:43:05,847 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:43:07,856 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:08,862 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:09,867 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:10,872 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:11,877 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:12,883 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:13,888 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:14,893 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.3 sec
2013-09-11 18:43:15,898 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.3 sec
2013-09-11 18:43:16,904 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.84 sec
2013-09-11 18:43:17,909 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.84 sec
2013-09-11 18:43:18,915 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.84 sec
MapReduce Total cumulative CPU time: 17 seconds 840 msec
Ended Job = job_201309101627_0281
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 63.26 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.84 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 21 seconds 100 msec
OK
Time taken: 59.238 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация чуть сложнее.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12833@mturlrep13_201309111843_203223094.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13310@mturlrep13_201309111843_869968579.txt
hive> SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0282
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:43:40,513 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:43:47,543 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:43:48,556 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:49,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:50,572 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:51,578 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:52,585 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:53,592 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:54,598 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:55,605 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.59 sec
2013-09-11 18:43:56,611 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 20.59 sec
2013-09-11 18:43:57,617 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.09 sec
2013-09-11 18:43:58,623 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.09 sec
2013-09-11 18:43:59,629 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.09 sec
2013-09-11 18:44:00,636 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.79 sec
2013-09-11 18:44:01,642 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.79 sec
2013-09-11 18:44:02,648 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.79 sec
2013-09-11 18:44:03,655 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.79 sec
2013-09-11 18:44:04,661 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.79 sec
2013-09-11 18:44:05,670 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 50.58 sec
2013-09-11 18:44:06,676 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.28 sec
2013-09-11 18:44:07,682 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.28 sec
MapReduce Total cumulative CPU time: 57 seconds 280 msec
Ended Job = job_201309101627_0282
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0283
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:44:11,283 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:44:18,307 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:44:21,319 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:22,324 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:23,329 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:24,333 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:25,338 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:26,343 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:27,347 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:28,352 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.71 sec
2013-09-11 18:44:29,357 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.71 sec
2013-09-11 18:44:30,362 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.74 sec
2013-09-11 18:44:31,368 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.74 sec
2013-09-11 18:44:32,374 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.74 sec
MapReduce Total cumulative CPU time: 20 seconds 740 msec
Ended Job = job_201309101627_0283
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 57.28 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 20.74 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 18 seconds 20 msec
OK
Time taken: 61.858 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15620@mturlrep13_201309111844_1876164990.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16081@mturlrep13_201309111844_1689787397.txt
hive> SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0284
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:44:45,391 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:44:53,428 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:54,436 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:55,445 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:56,452 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:57,458 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:58,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:44:59,471 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:45:00,479 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.0 sec
2013-09-11 18:45:01,485 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 33.06 sec
2013-09-11 18:45:02,492 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:03,498 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:04,504 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:05,510 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:06,515 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:07,521 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:08,527 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:09,533 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.76 sec
2013-09-11 18:45:10,539 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 43.76 sec
2013-09-11 18:45:11,546 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 59.3 sec
2013-09-11 18:45:12,553 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 59.3 sec
2013-09-11 18:45:13,559 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 59.3 sec
MapReduce Total cumulative CPU time: 59 seconds 300 msec
Ended Job = job_201309101627_0284
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0285
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:45:16,070 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:45:24,097 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:45:27,108 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:28,114 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:29,119 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:30,123 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:31,128 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:32,133 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:33,139 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 18:45:34,144 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.71 sec
2013-09-11 18:45:35,149 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.71 sec
2013-09-11 18:45:36,155 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 16.95 sec
2013-09-11 18:45:37,160 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 16.95 sec
MapReduce Total cumulative CPU time: 16 seconds 950 msec
Ended Job = job_201309101627_0285
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 59.3 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 16.95 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 16 seconds 250 msec
OK
Time taken: 59.204 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19315@mturlrep13_201309111845_275707985.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19758@mturlrep13_201309111845_1428482437.txt
hive> SELECT SearchEngineID, SearchPhrase, count(*) AS c FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0286
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:45:50,307 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:45:58,346 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:45:59,353 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:00,362 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:01,368 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:02,375 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:03,381 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:04,387 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:05,394 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.37 sec
2013-09-11 18:46:06,401 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 31.78 sec
2013-09-11 18:46:07,410 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:08,416 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:09,422 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:10,428 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:11,434 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:12,440 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:13,447 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:14,453 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.63 sec
2013-09-11 18:46:15,462 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 50.32 sec
2013-09-11 18:46:16,468 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 58.04 sec
2013-09-11 18:46:17,474 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 58.04 sec
MapReduce Total cumulative CPU time: 58 seconds 40 msec
Ended Job = job_201309101627_0286
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0287
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:46:20,954 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:46:27,976 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:46:30,987 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:31,992 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:32,998 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:34,003 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:35,008 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:36,013 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:37,017 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:38,023 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.59 sec
2013-09-11 18:46:39,028 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.59 sec
2013-09-11 18:46:40,033 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.25 sec
2013-09-11 18:46:41,039 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.25 sec
2013-09-11 18:46:42,044 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.25 sec
MapReduce Total cumulative CPU time: 18 seconds 250 msec
Ended Job = job_201309101627_0287
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 58.04 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.25 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 16 seconds 290 msec
OK
Time taken: 59.141 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация по числу и строке, большое количество ключей.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22085@mturlrep13_201309111846_197414974.txt
hive> ;
hive> quit;
times: 1
query: SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22551@mturlrep13_201309111846_356966815.txt
hive> SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0288
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:47:04,259 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:47:11,285 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:47:14,304 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:15,311 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:16,320 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:17,326 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:18,332 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:19,339 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:20,345 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:21,351 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.67 sec
2013-09-11 18:47:22,356 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.67 sec
2013-09-11 18:47:23,387 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.67 sec
2013-09-11 18:47:24,392 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 40.98 sec
2013-09-11 18:47:25,398 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:26,403 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:27,408 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:28,414 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:29,419 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:30,424 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.58 sec
2013-09-11 18:47:31,432 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 62.71 sec
2013-09-11 18:47:32,438 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.85 sec
2013-09-11 18:47:33,443 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.85 sec
MapReduce Total cumulative CPU time: 1 minutes 9 seconds 850 msec
Ended Job = job_201309101627_0288
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0289
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:47:37,065 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:47:47,092 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:47:51,104 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:52,109 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:53,113 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:54,117 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:55,122 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:56,127 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:57,131 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.97 sec
2013-09-11 18:47:58,136 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.97 sec
2013-09-11 18:47:59,141 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.97 sec
2013-09-11 18:48:00,146 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.32 sec
2013-09-11 18:48:01,150 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.32 sec
MapReduce Total cumulative CPU time: 22 seconds 320 msec
Ended Job = job_201309101627_0289
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 69.85 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 22.32 sec HDFS Read: 55476177 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 32 seconds 170 msec
OK
Time taken: 66.72 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24895@mturlrep13_201309111848_816582111.txt
hive> ;
hive> quit;
times: 2
query: SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_25356@mturlrep13_201309111848_354267688.txt
hive> SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0290
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:48:14,183 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:48:22,214 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:48:24,229 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:25,236 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:26,243 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:27,249 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:28,256 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:29,262 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:30,267 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.34 sec
2013-09-11 18:48:31,273 Stage-1 map = 96%, reduce = 8%, Cumulative CPU 26.34 sec
2013-09-11 18:48:32,277 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 26.34 sec
2013-09-11 18:48:33,282 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 39.02 sec
2013-09-11 18:48:34,288 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:35,293 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:36,298 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:37,304 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:38,309 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:39,315 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.45 sec
2013-09-11 18:48:40,320 Stage-1 map = 100%, reduce = 55%, Cumulative CPU 54.45 sec
2013-09-11 18:48:41,328 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.84 sec
2013-09-11 18:48:42,334 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.84 sec
2013-09-11 18:48:43,340 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.84 sec
MapReduce Total cumulative CPU time: 1 minutes 8 seconds 840 msec
Ended Job = job_201309101627_0290
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0291
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:48:45,869 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:48:56,900 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:49:00,912 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:01,917 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:02,922 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:03,927 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:04,931 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:05,936 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:06,941 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 18:49:07,946 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.7 sec
2013-09-11 18:49:08,951 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.7 sec
2013-09-11 18:49:10,270 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.14 sec
2013-09-11 18:49:11,275 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.14 sec
MapReduce Total cumulative CPU time: 23 seconds 140 msec
Ended Job = job_201309101627_0291
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 68.84 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 23.14 sec HDFS Read: 55476181 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 31 seconds 980 msec
OK
Time taken: 64.324 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27717@mturlrep13_201309111849_53528863.txt
hive> ;
hive> quit;
times: 3
query: SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28180@mturlrep13_201309111849_1908133462.txt
hive> SELECT UserID, count(*) AS c FROM hits_10m GROUP BY UserID ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0292
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:49:25,328 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:49:32,358 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:49:34,373 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:35,381 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:36,388 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:37,394 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:38,399 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:39,406 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:40,413 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:41,430 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.15 sec
2013-09-11 18:49:42,441 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.15 sec
2013-09-11 18:49:43,447 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.15 sec
2013-09-11 18:49:44,453 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 39.96 sec
2013-09-11 18:49:45,458 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:46,464 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:47,469 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:48,475 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:49,480 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:50,486 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.29 sec
2013-09-11 18:49:51,494 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 63.39 sec
2013-09-11 18:49:52,500 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.79 sec
2013-09-11 18:49:53,506 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.79 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 790 msec
Ended Job = job_201309101627_0292
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0293
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:49:57,008 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:50:07,044 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:50:11,059 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:12,064 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:13,069 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:14,074 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:15,078 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:16,083 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:17,088 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.15 sec
2013-09-11 18:50:18,093 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.15 sec
2013-09-11 18:50:19,100 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.15 sec
2013-09-11 18:50:20,106 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.72 sec
2013-09-11 18:50:21,111 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.72 sec
2013-09-11 18:50:22,117 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.72 sec
MapReduce Total cumulative CPU time: 22 seconds 720 msec
Ended Job = job_201309101627_0293
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.79 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 22.72 sec HDFS Read: 55476181 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 33 seconds 510 msec
OK
Time taken: 65.232 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация по очень большому количеству ключей, может не хватить оперативки.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31241@mturlrep13_201309111850_2087772278.txt
hive> ;
hive> quit;
times: 1
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31725@mturlrep13_201309111850_1907040905.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0294
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:50:43,595 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:50:50,623 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:50:53,635 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:50:56,653 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:50:57,661 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:50:58,669 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:50:59,675 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:51:00,682 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:51:01,689 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:51:02,695 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:51:03,727 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.96 sec
2013-09-11 18:51:04,733 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.96 sec
2013-09-11 18:51:05,739 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.96 sec
2013-09-11 18:51:06,745 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.96 sec
2013-09-11 18:51:07,751 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.96 sec
2013-09-11 18:51:08,756 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.96 sec
2013-09-11 18:51:09,762 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:10,767 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:11,772 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:12,778 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:13,783 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:14,788 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:15,794 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:16,800 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:17,805 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:18,811 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.89 sec
2013-09-11 18:51:19,817 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 69.89 sec
2013-09-11 18:51:20,822 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 69.89 sec
2013-09-11 18:51:21,830 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 91.37 sec
2013-09-11 18:51:22,836 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 91.37 sec
MapReduce Total cumulative CPU time: 1 minutes 31 seconds 370 msec
Ended Job = job_201309101627_0294
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0295
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:51:25,350 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:51:36,383 Stage-2 map = 46%, reduce = 0%
2013-09-11 18:51:39,394 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:51:42,404 Stage-2 map = 96%, reduce = 0%
2013-09-11 18:51:44,411 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:45,416 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:46,421 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:47,425 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:48,430 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:49,435 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:50,439 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.3 sec
2013-09-11 18:51:51,444 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.3 sec
2013-09-11 18:51:52,449 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.3 sec
2013-09-11 18:51:53,454 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.3 sec
2013-09-11 18:51:54,460 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.86 sec
2013-09-11 18:51:55,465 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.86 sec
2013-09-11 18:51:56,470 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.86 sec
MapReduce Total cumulative CPU time: 27 seconds 860 msec
Ended Job = job_201309101627_0295
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 91.37 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 27.86 sec HDFS Read: 146210119 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 59 seconds 230 msec
OK
Time taken: 82.786 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2016@mturlrep13_201309111851_1953281129.txt
hive> ;
hive> quit;
times: 2
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2464@mturlrep13_201309111852_1098803176.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0296
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:52:09,495 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:52:17,540 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:52:21,561 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:22,568 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:23,576 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:24,583 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:25,589 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:26,595 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:27,600 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:28,606 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.76 sec
2013-09-11 18:52:29,611 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.76 sec
2013-09-11 18:52:30,616 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.76 sec
2013-09-11 18:52:31,622 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.76 sec
2013-09-11 18:52:32,627 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.76 sec
2013-09-11 18:52:33,633 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.13 sec
2013-09-11 18:52:34,638 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.13 sec
2013-09-11 18:52:35,643 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.13 sec
2013-09-11 18:52:36,648 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.13 sec
2013-09-11 18:52:37,654 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.13 sec
2013-09-11 18:52:38,659 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:39,665 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:40,671 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:41,677 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:42,683 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:43,688 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.13 sec
2013-09-11 18:52:44,694 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 68.13 sec
2013-09-11 18:52:45,700 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 68.13 sec
2013-09-11 18:52:46,708 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.71 sec
2013-09-11 18:52:47,714 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.71 sec
2013-09-11 18:52:48,720 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.71 sec
MapReduce Total cumulative CPU time: 1 minutes 29 seconds 710 msec
Ended Job = job_201309101627_0296
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0297
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:52:52,227 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:53:02,258 Stage-2 map = 46%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:03,263 Stage-2 map = 46%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:04,267 Stage-2 map = 46%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:05,272 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:06,276 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:07,281 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:08,286 Stage-2 map = 96%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:09,291 Stage-2 map = 96%, reduce = 0%, Cumulative CPU 10.28 sec
2013-09-11 18:53:10,296 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:11,300 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:12,305 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:13,309 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:14,313 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:15,318 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:16,322 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.23 sec
2013-09-11 18:53:17,327 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.23 sec
2013-09-11 18:53:18,331 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.23 sec
2013-09-11 18:53:19,336 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.23 sec
2013-09-11 18:53:20,341 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.69 sec
2013-09-11 18:53:21,347 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.69 sec
2013-09-11 18:53:22,352 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 27.69 sec
MapReduce Total cumulative CPU time: 27 seconds 690 msec
Ended Job = job_201309101627_0297
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 89.71 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 27.69 sec HDFS Read: 146210123 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 57 seconds 400 msec
OK
Time taken: 80.259 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5290@mturlrep13_201309111853_777112224.txt
hive> ;
hive> quit;
times: 3
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5789@mturlrep13_201309111853_1022585979.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0298
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:53:36,406 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:53:43,433 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:53:47,454 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 16.37 sec
2013-09-11 18:53:48,462 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:49,469 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:50,476 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:51,485 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:52,495 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:53,500 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:54,506 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-11 18:53:55,512 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-11 18:53:56,519 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-11 18:53:57,525 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-11 18:53:58,531 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-11 18:53:59,537 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.03 sec
2013-09-11 18:54:00,543 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:01,548 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:02,554 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:03,560 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:04,566 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:05,572 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:06,578 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:07,584 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:08,590 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:09,596 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.66 sec
2013-09-11 18:54:10,602 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 69.66 sec
2013-09-11 18:54:11,608 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 69.66 sec
2013-09-11 18:54:12,616 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.68 sec
2013-09-11 18:54:13,622 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.68 sec
2013-09-11 18:54:14,628 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.68 sec
MapReduce Total cumulative CPU time: 1 minutes 29 seconds 680 msec
Ended Job = job_201309101627_0298
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0299
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:54:17,084 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:54:28,119 Stage-2 map = 46%, reduce = 0%
2013-09-11 18:54:31,128 Stage-2 map = 50%, reduce = 0%
2013-09-11 18:54:34,137 Stage-2 map = 96%, reduce = 0%
2013-09-11 18:54:36,145 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:37,151 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:38,156 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:39,161 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:40,166 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:41,171 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:42,176 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:43,181 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.19 sec
2013-09-11 18:54:44,187 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.19 sec
2013-09-11 18:54:45,192 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.19 sec
2013-09-11 18:54:46,198 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.19 sec
2013-09-11 18:54:47,204 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.71 sec
2013-09-11 18:54:48,210 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.71 sec
MapReduce Total cumulative CPU time: 28 seconds 710 msec
Ended Job = job_201309101627_0299
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 89.68 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 28.71 sec HDFS Read: 146210123 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 58 seconds 390 msec
OK
Time taken: 80.119 seconds, Fetched: 10 row(s)
hive> quit;
-- ещё более сложная агрегация.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8402@mturlrep13_201309111854_283727002.txt
hive> ;
hive> quit;
times: 1
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8865@mturlrep13_201309111855_86754766.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0300
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:55:11,854 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:55:18,883 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:55:21,896 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:55:24,917 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:25,924 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:26,932 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:27,938 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:28,944 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:29,950 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:30,955 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.54 sec
2013-09-11 18:55:31,961 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.54 sec
2013-09-11 18:55:32,967 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.54 sec
2013-09-11 18:55:33,973 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.54 sec
2013-09-11 18:55:34,979 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.54 sec
2013-09-11 18:55:35,985 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.54 sec
2013-09-11 18:55:36,991 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 49.64 sec
2013-09-11 18:55:37,996 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:39,002 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:40,008 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:41,013 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:42,019 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:43,025 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.87 sec
2013-09-11 18:55:44,032 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 72.63 sec
2013-09-11 18:55:45,037 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 77.38 sec
2013-09-11 18:55:46,042 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 77.38 sec
MapReduce Total cumulative CPU time: 1 minutes 17 seconds 380 msec
Ended Job = job_201309101627_0300
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 77.38 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 17 seconds 380 msec
OK
Time taken: 45.248 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11369@mturlrep13_201309111855_856551231.txt
hive> ;
hive> quit;
times: 2
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11797@mturlrep13_201309111855_1646605999.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0301
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:56:00,548 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:56:07,575 Stage-1 map = 39%, reduce = 0%
2013-09-11 18:56:10,588 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:56:12,602 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:13,609 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:14,617 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:15,624 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:16,630 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:17,636 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:18,641 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.19 sec
2013-09-11 18:56:19,647 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 31.19 sec
2013-09-11 18:56:20,653 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 31.19 sec
2013-09-11 18:56:21,659 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 31.19 sec
2013-09-11 18:56:22,665 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 31.19 sec
2013-09-11 18:56:23,671 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 46.73 sec
2013-09-11 18:56:24,676 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 64.93 sec
2013-09-11 18:56:25,682 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 64.93 sec
2013-09-11 18:56:26,687 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 64.93 sec
2013-09-11 18:56:27,693 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 64.93 sec
2013-09-11 18:56:28,698 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 64.93 sec
2013-09-11 18:56:29,703 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 64.93 sec
2013-09-11 18:56:30,709 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 64.93 sec
2013-09-11 18:56:31,717 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 69.62 sec
2013-09-11 18:56:32,722 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 74.09 sec
2013-09-11 18:56:33,728 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 74.09 sec
MapReduce Total cumulative CPU time: 1 minutes 14 seconds 90 msec
Ended Job = job_201309101627_0301
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 74.09 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 14 seconds 90 msec
OK
Time taken: 41.584 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13564@mturlrep13_201309111856_1947594684.txt
hive> ;
hive> quit;
times: 3
query: SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_14004@mturlrep13_201309111856_1046197498.txt
hive> SELECT UserID, SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0302
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:56:47,624 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:56:54,649 Stage-1 map = 43%, reduce = 0%
2013-09-11 18:56:58,669 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:56:59,676 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:00,687 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:01,693 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:02,701 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:03,707 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:04,713 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:05,718 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.32 sec
2013-09-11 18:57:06,723 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 32.32 sec
2013-09-11 18:57:07,729 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 32.32 sec
2013-09-11 18:57:08,734 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 32.32 sec
2013-09-11 18:57:09,740 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 32.32 sec
2013-09-11 18:57:10,745 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:11,749 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:12,754 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:13,758 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:14,763 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:15,769 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:16,774 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:17,780 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.85 sec
2013-09-11 18:57:18,787 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 73.17 sec
2013-09-11 18:57:19,793 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 73.17 sec
2013-09-11 18:57:20,799 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 73.17 sec
MapReduce Total cumulative CPU time: 1 minutes 13 seconds 170 msec
Ended Job = job_201309101627_0302
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 73.17 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 170 msec
OK
Time taken: 41.413 seconds, Fetched: 10 row(s)
hive> quit;
-- то же самое, но без сортировки.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15789@mturlrep13_201309111857_1616448565.txt
hive> ;
hive> quit;
times: 1
query: SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16290@mturlrep13_201309111857_668645670.txt
hive> SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0303
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:57:42,641 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:57:49,670 Stage-1 map = 7%, reduce = 0%
2013-09-11 18:57:52,683 Stage-1 map = 22%, reduce = 0%
2013-09-11 18:57:55,696 Stage-1 map = 29%, reduce = 0%
2013-09-11 18:57:58,710 Stage-1 map = 36%, reduce = 0%
2013-09-11 18:58:01,726 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 43.37 sec
2013-09-11 18:58:02,733 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:03,741 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:04,747 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:05,753 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:06,758 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:07,763 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:08,769 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:09,775 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.76 sec
2013-09-11 18:58:10,781 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:11,788 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:12,793 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:13,799 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:14,805 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:15,811 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:16,816 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:17,822 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:18,827 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:19,833 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:20,839 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:21,845 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 53.76 sec
2013-09-11 18:58:22,850 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 78.8 sec
2013-09-11 18:58:23,855 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 105.63 sec
2013-09-11 18:58:24,860 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 105.63 sec
2013-09-11 18:58:25,866 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 105.63 sec
2013-09-11 18:58:26,871 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 105.63 sec
2013-09-11 18:58:27,877 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 105.63 sec
2013-09-11 18:58:28,882 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.63 sec
2013-09-11 18:58:29,888 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.63 sec
2013-09-11 18:58:30,893 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.63 sec
2013-09-11 18:58:31,899 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.63 sec
2013-09-11 18:58:32,905 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.63 sec
2013-09-11 18:58:34,657 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.63 sec
2013-09-11 18:58:35,663 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 105.63 sec
2013-09-11 18:58:36,668 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 105.63 sec
2013-09-11 18:58:37,673 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 105.63 sec
2013-09-11 18:58:38,679 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 105.63 sec
2013-09-11 18:58:39,684 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 105.63 sec
2013-09-11 18:58:40,690 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 105.63 sec
2013-09-11 18:58:41,695 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 105.63 sec
2013-09-11 18:58:42,702 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 127.04 sec
2013-09-11 18:58:43,707 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 148.11 sec
2013-09-11 18:58:44,713 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 148.11 sec
MapReduce Total cumulative CPU time: 2 minutes 28 seconds 110 msec
Ended Job = job_201309101627_0303
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0304
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 18:58:47,302 Stage-2 map = 0%, reduce = 0%
2013-09-11 18:59:01,348 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:02,353 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:03,358 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:04,362 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:05,370 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:06,375 Stage-2 map = 28%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:07,381 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:08,385 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:09,390 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:10,395 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:11,400 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:12,405 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:13,410 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:14,415 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:15,419 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:16,424 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:17,429 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:18,434 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:19,438 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:20,452 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:21,457 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:22,461 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:23,466 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 17.05 sec
2013-09-11 18:59:24,471 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:25,476 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:26,480 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:27,485 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:28,489 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:29,494 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:30,498 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:31,503 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:32,507 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:33,511 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.88 sec
2013-09-11 18:59:34,515 Stage-2 map = 100%, reduce = 69%, Cumulative CPU 42.88 sec
2013-09-11 18:59:35,520 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.19 sec
2013-09-11 18:59:36,525 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.19 sec
2013-09-11 18:59:37,530 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.19 sec
MapReduce Total cumulative CPU time: 49 seconds 190 msec
Ended Job = job_201309101627_0304
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 148.11 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 49.19 sec HDFS Read: 241349358 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 17 seconds 300 msec
OK
Time taken: 124.833 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19630@mturlrep13_201309111859_2048292740.txt
hive> ;
hive> quit;
times: 2
query: SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20052@mturlrep13_201309111859_1861199290.txt
hive> SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0305
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 18:59:51,492 Stage-1 map = 0%, reduce = 0%
2013-09-11 18:59:58,519 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:00:01,534 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:02,541 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:03,550 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:04,556 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:05,562 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:06,568 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:07,574 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:08,580 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:09,586 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:10,591 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 20.11 sec
2013-09-11 19:00:11,599 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:12,604 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:13,610 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:14,616 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:15,621 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:16,627 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:17,633 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.39 sec
2013-09-11 19:00:18,638 Stage-1 map = 54%, reduce = 8%, Cumulative CPU 54.39 sec
2013-09-11 19:00:19,644 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:20,649 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:21,655 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:22,660 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:23,666 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:24,671 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:25,676 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:26,682 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:27,687 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:28,692 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:29,698 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 54.39 sec
2013-09-11 19:00:30,703 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 78.63 sec
2013-09-11 19:00:31,708 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.04 sec
2013-09-11 19:00:32,713 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.04 sec
2013-09-11 19:00:33,717 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 106.04 sec
2013-09-11 19:00:34,722 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 106.04 sec
2013-09-11 19:00:35,727 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 106.04 sec
2013-09-11 19:00:36,732 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 106.04 sec
2013-09-11 19:00:37,736 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 106.04 sec
2013-09-11 19:00:38,742 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 106.04 sec
2013-09-11 19:00:39,746 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 106.04 sec
2013-09-11 19:00:40,751 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 106.04 sec
2013-09-11 19:00:41,756 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 106.04 sec
2013-09-11 19:00:42,762 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 106.04 sec
2013-09-11 19:00:43,767 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 106.04 sec
2013-09-11 19:00:45,242 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 106.04 sec
2013-09-11 19:00:46,247 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 106.04 sec
2013-09-11 19:00:47,253 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 106.04 sec
2013-09-11 19:00:48,259 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 106.04 sec
2013-09-11 19:00:49,264 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 106.04 sec
2013-09-11 19:00:50,275 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 106.04 sec
2013-09-11 19:00:51,283 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.57 sec
2013-09-11 19:00:52,288 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.57 sec
MapReduce Total cumulative CPU time: 2 minutes 27 seconds 570 msec
Ended Job = job_201309101627_0305
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0306
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:00:54,856 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:01:08,898 Stage-2 map = 28%, reduce = 0%
2013-09-11 19:01:15,016 Stage-2 map = 50%, reduce = 0%
2013-09-11 19:01:24,046 Stage-2 map = 78%, reduce = 0%
2013-09-11 19:01:32,074 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:33,080 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:34,085 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:35,090 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:36,095 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:37,100 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:38,105 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:39,110 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:40,116 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:41,121 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:42,126 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.92 sec
2013-09-11 19:01:43,131 Stage-2 map = 100%, reduce = 69%, Cumulative CPU 43.92 sec
2013-09-11 19:01:44,142 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 50.31 sec
2013-09-11 19:01:45,148 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 50.31 sec
MapReduce Total cumulative CPU time: 50 seconds 310 msec
Ended Job = job_201309101627_0306
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 147.57 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 50.31 sec HDFS Read: 241349354 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 17 seconds 880 msec
OK
Time taken: 122.023 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_23810@mturlrep13_201309111901_515641948.txt
hive> ;
hive> quit;
times: 3
query: SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24270@mturlrep13_201309111901_54212452.txt
hive> SELECT UserID, minute(EventTime), SearchPhrase, count(*) AS c FROM hits_10m GROUP BY UserID, minute(EventTime), SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0307
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:01:57,968 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:02:06,001 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:02:09,013 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:02:12,025 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:02:15,039 Stage-1 map = 39%, reduce = 0%
2013-09-11 19:02:18,050 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:02:19,060 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:20,067 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:21,073 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:22,078 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:23,083 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:24,089 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:25,094 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.29 sec
2013-09-11 19:02:26,099 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:27,104 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:28,109 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:29,114 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:30,119 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:31,124 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:32,130 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:33,135 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:34,140 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:35,146 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:36,151 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 55.29 sec
2013-09-11 19:02:37,156 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 78.76 sec
2013-09-11 19:02:38,160 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 78.76 sec
2013-09-11 19:02:39,165 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 105.48 sec
2013-09-11 19:02:40,169 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 105.48 sec
2013-09-11 19:02:41,174 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 105.48 sec
2013-09-11 19:02:42,178 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 105.48 sec
2013-09-11 19:02:43,183 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 105.48 sec
2013-09-11 19:02:44,188 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.48 sec
2013-09-11 19:02:45,193 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.48 sec
2013-09-11 19:02:46,198 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 105.48 sec
2013-09-11 19:02:47,202 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.48 sec
2013-09-11 19:02:48,207 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.48 sec
2013-09-11 19:02:49,212 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 105.48 sec
2013-09-11 19:02:50,845 Stage-1 map = 100%, reduce = 77%, Cumulative CPU 105.48 sec
2013-09-11 19:02:51,850 Stage-1 map = 100%, reduce = 81%, Cumulative CPU 105.48 sec
2013-09-11 19:02:52,855 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 105.48 sec
2013-09-11 19:02:53,861 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 105.48 sec
2013-09-11 19:02:54,866 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 105.48 sec
2013-09-11 19:02:55,871 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 105.48 sec
2013-09-11 19:02:56,875 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 105.48 sec
2013-09-11 19:02:57,883 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 105.48 sec
2013-09-11 19:02:58,890 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.84 sec
2013-09-11 19:02:59,895 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.84 sec
MapReduce Total cumulative CPU time: 2 minutes 27 seconds 840 msec
Ended Job = job_201309101627_0307
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0308
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:03:03,355 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:03:16,392 Stage-2 map = 28%, reduce = 0%
2013-09-11 19:03:22,408 Stage-2 map = 50%, reduce = 0%
2013-09-11 19:03:31,433 Stage-2 map = 78%, reduce = 0%
2013-09-11 19:03:39,456 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:40,460 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:41,464 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:42,469 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:43,473 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:44,478 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:45,482 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:46,487 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:47,491 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:48,496 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.73 sec
2013-09-11 19:03:49,500 Stage-2 map = 100%, reduce = 68%, Cumulative CPU 43.73 sec
2013-09-11 19:03:50,504 Stage-2 map = 100%, reduce = 68%, Cumulative CPU 43.73 sec
2013-09-11 19:03:51,509 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 50.23 sec
2013-09-11 19:03:52,514 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 50.23 sec
MapReduce Total cumulative CPU time: 50 seconds 230 msec
Ended Job = job_201309101627_0308
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 147.84 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 50.23 sec HDFS Read: 241349358 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 18 seconds 70 msec
OK
Time taken: 121.826 seconds, Fetched: 10 row(s)
hive> quit;
-- ещё более сложная агрегация, не стоит выполнять на больших таблицах.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27368@mturlrep13_201309111904_1529836462.txt
hive> ;
hive> quit;
times: 1
query: SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27852@mturlrep13_201309111904_1081537639.txt
hive> SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0309
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-11 19:04:14,784 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:04:19,814 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.75 sec
2013-09-11 19:04:20,820 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.75 sec
2013-09-11 19:04:21,827 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.75 sec
2013-09-11 19:04:22,832 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.75 sec
2013-09-11 19:04:23,838 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.75 sec
2013-09-11 19:04:24,843 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.39 sec
2013-09-11 19:04:25,848 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.39 sec
2013-09-11 19:04:26,854 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.39 sec
MapReduce Total cumulative CPU time: 15 seconds 390 msec
Ended Job = job_201309101627_0309
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.39 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 390 msec
OK
Time taken: 21.676 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_29092@mturlrep13_201309111904_253068464.txt
hive> ;
hive> quit;
times: 2
query: SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_29537@mturlrep13_201309111904_1909407625.txt
hive> SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0310
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-11 19:04:40,721 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:04:44,746 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.65 sec
2013-09-11 19:04:45,753 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.65 sec
2013-09-11 19:04:46,761 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.65 sec
2013-09-11 19:04:47,767 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.65 sec
2013-09-11 19:04:48,774 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 11.23 sec
2013-09-11 19:04:49,780 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.19 sec
2013-09-11 19:04:50,786 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.19 sec
MapReduce Total cumulative CPU time: 15 seconds 190 msec
Ended Job = job_201309101627_0310
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.19 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 190 msec
OK
Time taken: 18.26 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30764@mturlrep13_201309111904_2146737469.txt
hive> ;
hive> quit;
times: 3
query: SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31195@mturlrep13_201309111904_832602397.txt
hive> SELECT UserID FROM hits_10m WHERE UserID = 12345678901234567890;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0311
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-11 19:05:04,452 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:05:09,482 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.95 sec
2013-09-11 19:05:10,490 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.95 sec
2013-09-11 19:05:11,498 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.95 sec
2013-09-11 19:05:12,504 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.95 sec
2013-09-11 19:05:13,510 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.6 sec
2013-09-11 19:05:14,516 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.6 sec
2013-09-11 19:05:15,522 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.6 sec
MapReduce Total cumulative CPU time: 15 seconds 600 msec
Ended Job = job_201309101627_0311
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.6 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 600 msec
OK
Time taken: 19.128 seconds
hive> quit;
-- мощная фильтрация по столбцу типа UInt64.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_667@mturlrep13_201309111905_1082929224.txt
hive> ;
hive> quit;
times: 1
query: SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1182@mturlrep13_201309111905_294903948.txt
hive> SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0312
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:05:36,814 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:05:43,841 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:05:44,854 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:45,861 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:46,869 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:47,876 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:48,882 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:49,888 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:50,894 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.28 sec
2013-09-11 19:05:51,901 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:52,906 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:53,912 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:54,917 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:55,923 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:56,928 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.6 sec
2013-09-11 19:05:57,935 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.72 sec
2013-09-11 19:05:58,941 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.72 sec
MapReduce Total cumulative CPU time: 37 seconds 720 msec
Ended Job = job_201309101627_0312
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 37.72 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 37 seconds 720 msec
OK
8428
Time taken: 32.101 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2715@mturlrep13_201309111906_1847551068.txt
hive> ;
hive> quit;
times: 2
query: SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3181@mturlrep13_201309111906_1226066334.txt
hive> SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0313
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:06:12,741 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:06:19,778 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:20,785 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:21,792 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:22,798 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:23,804 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:24,810 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:25,816 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-11 19:06:26,821 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 26.71 sec
2013-09-11 19:06:27,827 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.82 sec
2013-09-11 19:06:28,832 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.82 sec
2013-09-11 19:06:29,837 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.82 sec
2013-09-11 19:06:30,842 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.82 sec
2013-09-11 19:06:31,847 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.82 sec
2013-09-11 19:06:32,855 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 38.11 sec
2013-09-11 19:06:33,861 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 38.11 sec
2013-09-11 19:06:34,866 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 38.11 sec
MapReduce Total cumulative CPU time: 38 seconds 110 msec
Ended Job = job_201309101627_0313
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 38.11 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 38 seconds 110 msec
OK
8428
Time taken: 30.408 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4693@mturlrep13_201309111906_1529180994.txt
hive> ;
hive> quit;
times: 3
query: SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5305@mturlrep13_201309111906_779445337.txt
hive> SELECT count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%';;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0314
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:06:48,153 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:06:56,192 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:06:57,200 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:06:58,207 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:06:59,213 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:07:00,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:07:01,225 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:07:02,232 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.5 sec
2013-09-11 19:07:03,239 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:04,244 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:05,250 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:06,255 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:07,261 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:08,266 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.91 sec
2013-09-11 19:07:09,274 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.92 sec
2013-09-11 19:07:10,280 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.92 sec
2013-09-11 19:07:11,285 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.92 sec
MapReduce Total cumulative CPU time: 37 seconds 920 msec
Ended Job = job_201309101627_0314
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 37.92 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 37 seconds 920 msec
OK
8428
Time taken: 30.38 seconds, Fetched: 1 row(s)
hive> quit;
-- фильтрация по поиску подстроки в строке.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6820@mturlrep13_201309111907_920541373.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7269@mturlrep13_201309111907_775629306.txt
hive> SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0315
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:07:32,401 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:07:39,430 Stage-1 map = 32%, reduce = 0%
2013-09-11 19:07:40,443 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 9.06 sec
2013-09-11 19:07:41,451 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:42,458 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:43,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:44,471 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:45,478 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:46,485 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:47,492 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 19:07:48,498 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 18.91 sec
2013-09-11 19:07:49,504 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.92 sec
2013-09-11 19:07:50,509 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.92 sec
2013-09-11 19:07:51,515 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.92 sec
2013-09-11 19:07:52,521 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.92 sec
2013-09-11 19:07:53,527 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.92 sec
2013-09-11 19:07:54,534 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.18 sec
2013-09-11 19:07:55,540 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.18 sec
MapReduce Total cumulative CPU time: 42 seconds 180 msec
Ended Job = job_201309101627_0315
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0316
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:07:59,142 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:08:01,152 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:02,158 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:03,163 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:04,168 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:05,174 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:06,181 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:07,186 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-11 19:08:08,191 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
2013-09-11 19:08:09,197 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
2013-09-11 19:08:10,203 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
MapReduce Total cumulative CPU time: 2 seconds 240 msec
Ended Job = job_201309101627_0316
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 42.18 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.24 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 420 msec
OK
Time taken: 47.807 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9501@mturlrep13_201309111908_1204289107.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9961@mturlrep13_201309111908_623470333.txt
hive> SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0317
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:08:23,302 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:08:31,343 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:32,351 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:33,359 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:34,366 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:35,373 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:36,379 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:37,386 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:38,394 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.52 sec
2013-09-11 19:08:39,400 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 19:08:40,406 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 19:08:41,412 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 19:08:42,419 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 19:08:43,426 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 19:08:44,433 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 39.17 sec
2013-09-11 19:08:45,440 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.39 sec
2013-09-11 19:08:46,446 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.39 sec
MapReduce Total cumulative CPU time: 41 seconds 390 msec
Ended Job = job_201309101627_0317
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0318
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:08:48,932 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:08:50,941 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:51,947 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:52,954 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:53,960 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:54,965 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:55,971 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:56,976 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-11 19:08:57,983 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.78 sec
2013-09-11 19:08:58,989 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.3 sec
2013-09-11 19:08:59,995 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.3 sec
2013-09-11 19:09:01,000 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.3 sec
MapReduce Total cumulative CPU time: 2 seconds 300 msec
Ended Job = job_201309101627_0318
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.39 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.3 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 690 msec
OK
Time taken: 45.178 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12180@mturlrep13_201309111909_1253260332.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12625@mturlrep13_201309111909_397580064.txt
hive> SELECT SearchPhrase, MAX(URL), count(*) AS c FROM hits_10m WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0319
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:09:13,988 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:09:22,031 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:23,039 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:24,047 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:25,054 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:26,060 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:27,066 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:28,072 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:29,080 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.22 sec
2013-09-11 19:09:30,086 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.92 sec
2013-09-11 19:09:31,091 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.92 sec
2013-09-11 19:09:32,097 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.92 sec
2013-09-11 19:09:33,103 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.92 sec
2013-09-11 19:09:34,108 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.92 sec
2013-09-11 19:09:35,116 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 38.05 sec
2013-09-11 19:09:36,160 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.26 sec
2013-09-11 19:09:37,167 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.26 sec
MapReduce Total cumulative CPU time: 40 seconds 260 msec
Ended Job = job_201309101627_0319
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0320
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:09:39,694 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:09:41,703 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:42,708 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:43,713 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:44,718 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:45,722 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:46,727 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:47,732 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:48,737 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:09:49,743 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
2013-09-11 19:09:50,749 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
MapReduce Total cumulative CPU time: 2 seconds 230 msec
Ended Job = job_201309101627_0320
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 40.26 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.23 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 490 msec
OK
Time taken: 44.192 seconds, Fetched: 10 row(s)
hive> quit;
-- вынимаем большие столбцы, фильтрация по строке.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_14855@mturlrep13_201309111909_548656441.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15305@mturlrep13_201309111910_808798094.txt
hive> SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0321
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:10:12,656 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:10:19,683 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:10:22,695 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:10:23,708 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:24,746 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:25,755 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:26,761 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:27,769 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:28,775 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:29,781 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.32 sec
2013-09-11 19:10:30,787 Stage-1 map = 73%, reduce = 8%, Cumulative CPU 24.32 sec
2013-09-11 19:10:31,793 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.32 sec
2013-09-11 19:10:32,799 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.32 sec
2013-09-11 19:10:33,804 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 36.21 sec
2013-09-11 19:10:34,810 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.39 sec
2013-09-11 19:10:35,816 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.39 sec
2013-09-11 19:10:36,824 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 50.53 sec
2013-09-11 19:10:37,829 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 50.53 sec
2013-09-11 19:10:38,835 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 50.53 sec
2013-09-11 19:10:39,841 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 50.53 sec
2013-09-11 19:10:40,848 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 50.53 sec
2013-09-11 19:10:41,855 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.6 sec
2013-09-11 19:10:42,861 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.6 sec
2013-09-11 19:10:43,867 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.6 sec
MapReduce Total cumulative CPU time: 52 seconds 600 msec
Ended Job = job_201309101627_0321
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0322
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:10:47,360 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:10:48,366 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:49,371 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:50,377 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:51,382 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:52,387 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:53,392 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:54,396 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:55,402 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:10:56,407 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 19:10:57,412 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 19:10:58,418 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
MapReduce Total cumulative CPU time: 2 seconds 200 msec
Ended Job = job_201309101627_0322
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 52.6 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.2 sec HDFS Read: 12990 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 54 seconds 800 msec
OK
Time taken: 56.389 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18714@mturlrep13_201309111911_81889019.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19205@mturlrep13_201309111911_2026522553.txt
hive> SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0323
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:11:11,864 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:11:19,897 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:11:22,917 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:23,924 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:24,933 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:25,939 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:26,946 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:27,952 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:28,958 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.28 sec
2013-09-11 19:11:29,963 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 25.28 sec
2013-09-11 19:11:30,969 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 25.28 sec
2013-09-11 19:11:31,974 Stage-1 map = 89%, reduce = 17%, Cumulative CPU 36.84 sec
2013-09-11 19:11:32,980 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.31 sec
2013-09-11 19:11:33,985 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.31 sec
2013-09-11 19:11:34,991 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.31 sec
2013-09-11 19:11:35,998 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.48 sec
2013-09-11 19:11:37,004 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.48 sec
2013-09-11 19:11:38,011 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.48 sec
MapReduce Total cumulative CPU time: 53 seconds 480 msec
Ended Job = job_201309101627_0323
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0324
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:11:40,494 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:11:42,503 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:43,508 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:44,514 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:45,519 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:46,524 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:47,529 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:48,534 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:11:49,540 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.76 sec
2013-09-11 19:11:50,545 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.15 sec
2013-09-11 19:11:51,551 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.15 sec
MapReduce Total cumulative CPU time: 2 seconds 150 msec
Ended Job = job_201309101627_0324
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 53.48 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.15 sec HDFS Read: 12988 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 55 seconds 630 msec
OK
Time taken: 47.357 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21577@mturlrep13_201309111911_1538548655.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22017@mturlrep13_201309111911_1851586484.txt
hive> SELECT SearchPhrase, MAX(URL), MAX(Title), count(*) AS c, count(DISTINCT UserID) FROM hits_10m WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0325
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:12:06,075 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:12:13,105 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:12:15,124 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 12.29 sec
2013-09-11 19:12:16,133 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:17,141 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:18,148 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:19,155 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:20,162 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:21,169 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:22,176 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.56 sec
2013-09-11 19:12:23,182 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.56 sec
2013-09-11 19:12:24,188 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.56 sec
2013-09-11 19:12:25,194 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.56 sec
2013-09-11 19:12:26,209 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.93 sec
2013-09-11 19:12:27,215 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.93 sec
2013-09-11 19:12:28,221 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.93 sec
2013-09-11 19:12:29,229 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.09 sec
2013-09-11 19:12:30,235 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.09 sec
MapReduce Total cumulative CPU time: 53 seconds 90 msec
Ended Job = job_201309101627_0325
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0326
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:12:33,748 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:12:34,753 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:35,759 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:36,764 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:37,769 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:38,775 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:39,780 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:40,785 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:41,790 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-11 19:12:42,796 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
2013-09-11 19:12:43,802 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
2013-09-11 19:12:44,808 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.28 sec
MapReduce Total cumulative CPU time: 2 seconds 280 msec
Ended Job = job_201309101627_0326
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 53.09 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.28 sec HDFS Read: 12990 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 55 seconds 370 msec
OK
Time taken: 47.653 seconds, Fetched: 10 row(s)
hive> quit;
-- чуть больше столбцы.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24402@mturlrep13_201309111912_1264895416.txt
hive> ;
hive> quit;
times: 1
query: SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24883@mturlrep13_201309111912_1271282115.txt
hive> SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0327
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:13:05,825 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:13:15,872 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:13:18,884 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:13:21,898 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:13:27,920 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:13:30,932 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:13:36,953 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:13:37,964 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:38,971 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:39,978 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:40,984 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:41,990 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:42,995 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:44,001 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:45,007 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 93.08 sec
2013-09-11 19:13:46,011 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:47,016 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:48,020 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:49,060 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:50,074 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:51,078 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:52,082 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:53,086 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:54,090 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:55,095 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:56,100 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:57,105 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:58,110 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:13:59,115 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:14:00,120 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:14:01,125 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:14:02,130 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 93.08 sec
2013-09-11 19:14:03,140 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 155.04 sec
2013-09-11 19:14:04,145 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 155.04 sec
2013-09-11 19:14:05,153 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 159.81 sec
2013-09-11 19:14:06,158 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 159.81 sec
2013-09-11 19:14:07,163 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 159.81 sec
2013-09-11 19:14:08,168 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 159.81 sec
2013-09-11 19:14:09,173 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 159.81 sec
2013-09-11 19:14:10,178 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:11,183 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:12,188 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:13,193 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:14,197 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:15,202 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 175.38 sec
2013-09-11 19:14:16,210 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 177.7 sec
2013-09-11 19:14:17,215 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 177.7 sec
2013-09-11 19:14:18,221 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 177.7 sec
MapReduce Total cumulative CPU time: 2 minutes 57 seconds 700 msec
Ended Job = job_201309101627_0327
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 177.7 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 57 seconds 700 msec
OK
Time taken: 82.942 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_26833@mturlrep13_201309111914_284626838.txt
hive> ;
hive> quit;
times: 2
query: SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27262@mturlrep13_201309111914_572123966.txt
hive> SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0328
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:14:31,952 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:14:39,983 Stage-1 map = 4%, reduce = 0%
2013-09-11 19:14:42,994 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:14:46,006 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:14:49,018 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:14:52,064 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:14:55,075 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:15:01,097 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:15:02,183 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:03,191 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:04,196 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:05,202 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:06,208 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:07,213 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:08,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:09,224 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:10,230 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:11,235 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:12,240 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.71 sec
2013-09-11 19:15:13,247 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:14,252 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:15,257 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:16,263 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:17,267 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:18,272 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:19,276 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:20,281 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:21,286 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:22,291 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:23,296 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:24,306 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:25,311 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:26,316 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:27,381 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:28,387 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:29,392 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:30,396 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:31,401 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:32,406 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:33,411 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:34,416 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:35,421 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:36,425 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:37,429 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 76.71 sec
2013-09-11 19:15:38,434 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 111.68 sec
2013-09-11 19:15:39,439 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 111.68 sec
2013-09-11 19:15:40,443 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 150.15 sec
2013-09-11 19:15:41,447 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 150.15 sec
2013-09-11 19:15:42,452 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 150.15 sec
2013-09-11 19:15:43,457 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 150.15 sec
2013-09-11 19:15:44,462 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 150.15 sec
2013-09-11 19:15:45,466 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 150.15 sec
2013-09-11 19:15:46,501 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 153.5 sec
2013-09-11 19:15:47,506 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 153.5 sec
2013-09-11 19:15:48,511 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 153.5 sec
2013-09-11 19:15:49,516 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 153.5 sec
MapReduce Total cumulative CPU time: 2 minutes 33 seconds 500 msec
Ended Job = job_201309101627_0328
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 153.5 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 33 seconds 500 msec
OK
Time taken: 85.578 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30831@mturlrep13_201309111915_2050397294.txt
hive> ;
hive> quit;
times: 3
query: SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31290@mturlrep13_201309111915_470444048.txt
hive> SELECT * FROM hits_10m WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0329
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:16:06,376 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:16:16,414 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:16:19,425 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:16:22,437 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:16:25,449 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:16:31,471 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:16:34,482 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:16:37,501 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:38,508 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:39,514 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:40,521 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:41,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:42,532 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:43,538 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 94.38 sec
2013-09-11 19:16:44,543 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:45,549 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:46,554 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:47,559 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:48,565 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:49,570 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:50,575 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:51,580 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:52,585 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:53,590 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:54,595 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:55,600 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:56,605 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:57,610 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:58,616 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:16:59,621 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:17:00,626 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:17:01,630 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:17:02,644 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 94.38 sec
2013-09-11 19:17:03,668 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 164.11 sec
2013-09-11 19:17:04,676 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 164.11 sec
2013-09-11 19:17:05,681 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 172.49 sec
2013-09-11 19:17:06,687 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 172.49 sec
2013-09-11 19:17:07,691 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 179.48 sec
2013-09-11 19:17:08,696 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 179.48 sec
2013-09-11 19:17:09,701 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 179.48 sec
2013-09-11 19:17:10,707 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 181.61 sec
2013-09-11 19:17:11,712 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 181.61 sec
2013-09-11 19:17:12,717 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 181.61 sec
MapReduce Total cumulative CPU time: 3 minutes 1 seconds 610 msec
Ended Job = job_201309101627_0329
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 181.61 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 1 seconds 610 msec
OK
Time taken: 77.012 seconds, Fetched: 10 row(s)
hive> quit;
-- плохой запрос - вынимаем все столбцы.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_745@mturlrep13_201309111917_444909204.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1250@mturlrep13_201309111917_461322150.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0330
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:17:33,067 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:17:40,099 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:41,107 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:42,114 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:43,120 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:44,125 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:45,131 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:46,136 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:47,142 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.68 sec
2013-09-11 19:17:48,148 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 28.05 sec
2013-09-11 19:17:49,153 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:50,158 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:51,163 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:52,168 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:53,173 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:54,179 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-11 19:17:55,185 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.51 sec
2013-09-11 19:17:56,191 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.51 sec
2013-09-11 19:17:57,196 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.51 sec
MapReduce Total cumulative CPU time: 43 seconds 510 msec
Ended Job = job_201309101627_0330
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 43.51 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 510 msec
OK
Time taken: 33.875 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2899@mturlrep13_201309111917_223797260.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3331@mturlrep13_201309111918_1567198931.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0331
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:18:10,975 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:18:18,012 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:19,020 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:20,027 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:21,033 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:22,039 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:23,045 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:24,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.48 sec
2013-09-11 19:18:25,056 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 37.82 sec
2013-09-11 19:18:26,062 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:27,067 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:28,072 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:29,077 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:30,082 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:31,087 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:32,092 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.82 sec
2013-09-11 19:18:33,099 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.82 sec
2013-09-11 19:18:34,105 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.82 sec
MapReduce Total cumulative CPU time: 42 seconds 820 msec
Ended Job = job_201309101627_0331
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 42.82 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 820 msec
OK
Time taken: 31.269 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5060@mturlrep13_201309111918_467637722.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5623@mturlrep13_201309111918_113416530.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0332
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:18:47,895 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:18:54,933 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:18:55,941 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:18:56,948 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:18:57,955 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:18:58,961 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:18:59,966 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:19:00,977 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 19:19:01,983 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.79 sec
2013-09-11 19:19:02,990 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.79 sec
2013-09-11 19:19:03,996 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:05,001 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:06,007 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:07,012 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:08,018 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:09,024 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 19:19:10,031 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.96 sec
2013-09-11 19:19:11,037 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.96 sec
MapReduce Total cumulative CPU time: 41 seconds 960 msec
Ended Job = job_201309101627_0332
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 41.96 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 41 seconds 960 msec
OK
Time taken: 31.323 seconds, Fetched: 10 row(s)
hive> quit;
-- большая сортировка.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7228@mturlrep13_201309111919_1142490525.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7745@mturlrep13_201309111919_1527730811.txt
hive> SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0333
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:19:32,813 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:19:39,842 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:19:40,855 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:41,862 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:42,869 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:43,875 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:44,881 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:45,887 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:46,893 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.55 sec
2013-09-11 19:19:47,900 Stage-1 map = 97%, reduce = 8%, Cumulative CPU 30.4 sec
2013-09-11 19:19:48,906 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 40.45 sec
2013-09-11 19:19:49,911 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 40.45 sec
2013-09-11 19:19:50,916 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.45 sec
2013-09-11 19:19:51,921 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.45 sec
2013-09-11 19:19:52,926 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.45 sec
2013-09-11 19:19:53,931 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 40.45 sec
2013-09-11 19:19:54,936 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 40.45 sec
2013-09-11 19:19:55,942 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 40.45 sec
2013-09-11 19:19:56,947 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.45 sec
2013-09-11 19:19:57,955 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 46.75 sec
2013-09-11 19:19:58,961 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 46.75 sec
MapReduce Total cumulative CPU time: 46 seconds 750 msec
Ended Job = job_201309101627_0333
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 46.75 sec HDFS Read: 27820105 HDFS Write: 666 SUCCESS
Total MapReduce CPU Time Spent: 46 seconds 750 msec
OK
ялта интурист
! как одеть трехнедельного ребенка при температуре 20 градусов
! отель rattana beach hotel 3*
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
!( центробежный скважинный калибр форумы)
!(!(storm master silmarils))
!(!(storm master silmarils))
!(!(title:(схема sputnik hi 4000)))
!(44-фз о контрактной системе)
Time taken: 35.874 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9340@mturlrep13_201309111920_1347531078.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9842@mturlrep13_201309111920_1738943444.txt
hive> SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0334
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:20:13,005 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:20:20,042 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:21,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:22,057 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:23,064 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:24,070 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:25,076 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:26,082 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:27,088 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.62 sec
2013-09-11 19:20:28,094 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:29,099 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:30,104 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:31,109 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:32,114 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:33,120 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:34,125 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:35,131 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.25 sec
2013-09-11 19:20:36,138 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.44 sec
2013-09-11 19:20:37,144 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.44 sec
MapReduce Total cumulative CPU time: 45 seconds 440 msec
Ended Job = job_201309101627_0334
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 45.44 sec HDFS Read: 27820105 HDFS Write: 666 SUCCESS
Total MapReduce CPU Time Spent: 45 seconds 440 msec
OK
ялта интурист
! как одеть трехнедельного ребенка при температуре 20 градусов
! отель rattana beach hotel 3*
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
!( центробежный скважинный калибр форумы)
!(!(storm master silmarils))
!(!(storm master silmarils))
!(!(title:(схема sputnik hi 4000)))
!(44-фз о контрактной системе)
Time taken: 32.533 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_11939@mturlrep13_201309111920_1151781772.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_12380@mturlrep13_201309111920_806872053.txt
hive> SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0335
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:20:49,926 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:20:57,966 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:20:58,974 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:20:59,981 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:21:00,987 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:21:01,993 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:21:02,999 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:21:04,006 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.91 sec
2013-09-11 19:21:05,013 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 29.4 sec
2013-09-11 19:21:06,019 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:07,024 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:08,030 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:09,036 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:10,041 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:11,047 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:12,052 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:13,058 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.14 sec
2013-09-11 19:21:14,066 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.25 sec
2013-09-11 19:21:15,072 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.25 sec
MapReduce Total cumulative CPU time: 45 seconds 250 msec
Ended Job = job_201309101627_0335
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 45.25 sec HDFS Read: 27820105 HDFS Write: 666 SUCCESS
Total MapReduce CPU Time Spent: 45 seconds 250 msec
OK
ялта интурист
! как одеть трехнедельного ребенка при температуре 20 градусов
! отель rattana beach hotel 3*
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
! официальный сайт ооо "группа аист"г москва, ул коцюбинского, д 4, офис 343
!( центробежный скважинный калибр форумы)
!(!(storm master silmarils))
!(!(storm master silmarils))
!(!(title:(схема sputnik hi 4000)))
!(44-фз о контрактной системе)
Time taken: 32.402 seconds, Fetched: 10 row(s)
hive> quit;
-- большая сортировка по строкам.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_14015@mturlrep13_201309111921_1013339895.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_14464@mturlrep13_201309111921_1424399418.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0336
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:21:37,862 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:21:44,890 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:21:45,902 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:46,908 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:47,915 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:48,921 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:49,926 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:50,932 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:51,938 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.73 sec
2013-09-11 19:21:52,944 Stage-1 map = 72%, reduce = 17%, Cumulative CPU 20.73 sec
2013-09-11 19:21:53,953 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:54,959 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:55,964 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:56,970 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:57,975 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:58,980 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:21:59,984 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:22:00,989 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.75 sec
2013-09-11 19:22:01,996 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.37 sec
2013-09-11 19:22:03,001 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.37 sec
2013-09-11 19:22:04,007 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.37 sec
MapReduce Total cumulative CPU time: 47 seconds 370 msec
Ended Job = job_201309101627_0336
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 47.37 sec HDFS Read: 28228143 HDFS Write: 762 SUCCESS
Total MapReduce CPU Time Spent: 47 seconds 370 msec
OK
Time taken: 36.108 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16194@mturlrep13_201309111922_1473276999.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16658@mturlrep13_201309111922_883471210.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0337
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:22:16,915 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:22:24,952 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:25,959 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:26,966 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:27,972 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:28,978 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:29,984 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:30,990 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:32,000 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.15 sec
2013-09-11 19:22:33,005 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:34,011 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:35,016 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:36,022 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:37,027 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:38,032 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:39,038 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:40,043 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 19:22:41,051 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 46.37 sec
2013-09-11 19:22:42,056 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 46.37 sec
MapReduce Total cumulative CPU time: 46 seconds 370 msec
Ended Job = job_201309101627_0337
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 46.37 sec HDFS Read: 28228143 HDFS Write: 762 SUCCESS
Total MapReduce CPU Time Spent: 46 seconds 370 msec
OK
Time taken: 32.47 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18370@mturlrep13_201309111922_201833234.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18842@mturlrep13_201309111922_1636378734.txt
hive> SELECT SearchPhrase, EventTime FROM hits_10m WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0338
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:22:56,099 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:23:03,136 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:04,144 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:05,151 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:06,158 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:07,164 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:08,170 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:09,177 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:10,183 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.89 sec
2013-09-11 19:23:11,190 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:12,195 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:13,200 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:14,205 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:15,210 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:16,216 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:17,223 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:18,229 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.16 sec
2013-09-11 19:23:19,236 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.73 sec
2013-09-11 19:23:20,242 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.73 sec
MapReduce Total cumulative CPU time: 47 seconds 730 msec
Ended Job = job_201309101627_0338
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 47.73 sec HDFS Read: 28228143 HDFS Write: 762 SUCCESS
Total MapReduce CPU Time Spent: 47 seconds 730 msec
OK
Time taken: 32.441 seconds, Fetched: 10 row(s)
hive> quit;
-- большая сортировка по кортежу.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20518@mturlrep13_201309111923_1417644101.txt
hive> ;
hive> quit;
times: 1
query: SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21000@mturlrep13_201309111923_777732561.txt
hive> SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0339
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:23:40,966 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:23:47,994 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:23:51,006 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:23:54,019 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:23:57,032 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:24:00,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:01,058 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:02,065 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:03,071 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:04,078 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:05,084 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:06,090 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.36 sec
2013-09-11 19:24:07,096 Stage-1 map = 65%, reduce = 4%, Cumulative CPU 46.36 sec
2013-09-11 19:24:08,101 Stage-1 map = 65%, reduce = 13%, Cumulative CPU 46.36 sec
2013-09-11 19:24:09,107 Stage-1 map = 65%, reduce = 13%, Cumulative CPU 46.36 sec
2013-09-11 19:24:10,113 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:11,119 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:12,124 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:13,130 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:14,136 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:15,142 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:16,148 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 46.36 sec
2013-09-11 19:24:17,153 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 66.94 sec
2013-09-11 19:24:18,159 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 66.94 sec
2013-09-11 19:24:19,164 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 90.24 sec
2013-09-11 19:24:20,170 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 90.24 sec
2013-09-11 19:24:21,175 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 90.24 sec
2013-09-11 19:24:22,180 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 90.24 sec
2013-09-11 19:24:23,185 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 90.24 sec
2013-09-11 19:24:24,190 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 90.24 sec
2013-09-11 19:24:25,196 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 90.24 sec
2013-09-11 19:24:26,202 Stage-1 map = 100%, reduce = 51%, Cumulative CPU 90.24 sec
2013-09-11 19:24:27,207 Stage-1 map = 100%, reduce = 51%, Cumulative CPU 90.24 sec
2013-09-11 19:24:28,212 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 90.24 sec
2013-09-11 19:24:29,219 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 99.81 sec
2013-09-11 19:24:30,224 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 99.81 sec
2013-09-11 19:24:31,230 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 99.81 sec
2013-09-11 19:24:32,468 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 99.81 sec
2013-09-11 19:24:33,480 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 99.81 sec
2013-09-11 19:24:34,496 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 99.81 sec
2013-09-11 19:24:35,501 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 116.36 sec
2013-09-11 19:24:36,506 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 116.36 sec
2013-09-11 19:24:37,511 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 116.36 sec
MapReduce Total cumulative CPU time: 1 minutes 56 seconds 360 msec
Ended Job = job_201309101627_0339
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0340
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:24:41,030 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:24:43,038 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:44,043 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:45,048 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:46,052 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:47,056 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:48,060 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:49,065 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.93 sec
2013-09-11 19:24:50,070 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 19:24:51,075 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
2013-09-11 19:24:52,080 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.44 sec
MapReduce Total cumulative CPU time: 2 seconds 440 msec
Ended Job = job_201309101627_0340
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 116.36 sec HDFS Read: 117363067 HDFS Write: 794 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.44 sec HDFS Read: 1563 HDFS Write: 571 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 58 seconds 800 msec
OK
Time taken: 81.295 seconds, Fetched: 19 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_23567@mturlrep13_201309111924_1954971285.txt
hive> ;
hive> quit;
times: 2
query: SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_23997@mturlrep13_201309111924_515409695.txt
hive> SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0341
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:25:06,659 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:25:13,685 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:25:16,697 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:25:19,708 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:25:22,720 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:25:24,736 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:25,743 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:26,752 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:27,758 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:28,764 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:29,770 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:30,776 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:31,782 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 46.82 sec
2013-09-11 19:25:32,788 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:33,793 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:34,799 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:35,804 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:36,809 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:37,815 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:38,821 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:39,827 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:40,832 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 46.82 sec
2013-09-11 19:25:41,838 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 67.29 sec
2013-09-11 19:25:42,843 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 89.57 sec
2013-09-11 19:25:43,848 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 89.57 sec
2013-09-11 19:25:44,854 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 89.57 sec
2013-09-11 19:25:45,860 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 89.57 sec
2013-09-11 19:25:46,865 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 89.57 sec
2013-09-11 19:25:47,871 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 89.57 sec
2013-09-11 19:25:48,876 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 89.57 sec
2013-09-11 19:25:49,884 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 89.57 sec
2013-09-11 19:25:50,891 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 89.57 sec
2013-09-11 19:25:51,896 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 89.57 sec
2013-09-11 19:25:52,901 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 89.57 sec
2013-09-11 19:25:53,906 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 89.57 sec
2013-09-11 19:25:54,913 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 99.36 sec
2013-09-11 19:25:55,919 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 99.36 sec
2013-09-11 19:25:56,925 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 99.36 sec
2013-09-11 19:25:57,931 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 99.36 sec
2013-09-11 19:25:58,936 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 99.36 sec
2013-09-11 19:25:59,952 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 114.98 sec
2013-09-11 19:26:00,959 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 114.98 sec
MapReduce Total cumulative CPU time: 1 minutes 54 seconds 980 msec
Ended Job = job_201309101627_0341
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0342
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:26:03,406 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:26:05,415 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:06,420 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:07,426 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:08,431 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:09,436 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:10,441 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:11,445 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-11 19:26:12,450 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.76 sec
2013-09-11 19:26:13,456 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
2013-09-11 19:26:14,461 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
MapReduce Total cumulative CPU time: 2 seconds 170 msec
Ended Job = job_201309101627_0342
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 114.98 sec HDFS Read: 117363067 HDFS Write: 794 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.17 sec HDFS Read: 1563 HDFS Write: 571 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 57 seconds 150 msec
OK
Time taken: 76.426 seconds, Fetched: 19 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27255@mturlrep13_201309111926_1222835314.txt
hive> ;
hive> quit;
times: 3
query: SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27706@mturlrep13_201309111926_904396134.txt
hive> SELECT CounterID, avg(length(URL)) AS l, count(*) AS c FROM hits_10m WHERE URL != '' GROUP BY CounterID HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0343
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:26:27,528 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:26:35,559 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:26:38,572 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:26:41,585 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:26:44,599 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:26:45,611 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:46,618 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:47,627 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:48,633 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:49,638 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:50,644 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:51,649 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 44.89 sec
2013-09-11 19:26:52,655 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 44.89 sec
2013-09-11 19:26:53,661 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:54,666 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:55,673 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:56,679 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:57,685 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:58,691 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:26:59,696 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:27:00,717 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:27:01,723 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 44.89 sec
2013-09-11 19:27:02,728 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 65.71 sec
2013-09-11 19:27:03,734 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 88.34 sec
2013-09-11 19:27:04,740 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 92.03 sec
2013-09-11 19:27:05,745 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 92.03 sec
2013-09-11 19:27:06,751 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 92.03 sec
2013-09-11 19:27:07,757 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 92.03 sec
2013-09-11 19:27:08,763 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 92.03 sec
2013-09-11 19:27:09,769 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 92.03 sec
2013-09-11 19:27:10,775 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 92.03 sec
2013-09-11 19:27:11,781 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 92.03 sec
2013-09-11 19:27:12,786 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 92.03 sec
2013-09-11 19:27:13,792 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 92.03 sec
2013-09-11 19:27:14,799 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 100.81 sec
2013-09-11 19:27:15,805 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 100.81 sec
2013-09-11 19:27:16,811 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 100.81 sec
2013-09-11 19:27:17,818 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 100.81 sec
2013-09-11 19:27:18,823 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 100.81 sec
2013-09-11 19:27:19,829 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 100.81 sec
2013-09-11 19:27:20,846 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 114.65 sec
2013-09-11 19:27:21,852 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 114.65 sec
MapReduce Total cumulative CPU time: 1 minutes 54 seconds 650 msec
Ended Job = job_201309101627_0343
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0344
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:27:24,306 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:27:26,313 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:27,318 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:28,323 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:29,327 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:30,331 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:31,335 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:32,340 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 19:27:33,345 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.75 sec
2013-09-11 19:27:34,351 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.15 sec
2013-09-11 19:27:35,356 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.15 sec
MapReduce Total cumulative CPU time: 2 seconds 150 msec
Ended Job = job_201309101627_0344
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 114.65 sec HDFS Read: 117363067 HDFS Write: 794 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.15 sec HDFS Read: 1563 HDFS Write: 571 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 56 seconds 800 msec
OK
Time taken: 75.21 seconds, Fetched: 19 row(s)
hive> quit;
-- считаем средние длины URL для крупных счётчиков.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30248@mturlrep13_201309111927_36693068.txt
hive> ;
hive> quit;
times: 1
query: SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30881@mturlrep13_201309111927_1823096494.txt
hive> SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
FAILED: SemanticException [Error 10011]: Line 1:336 Invalid function 'GREATEST'
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31193@mturlrep13_201309111927_277766864.txt
hive> ;
hive> quit;
times: 2
query: SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31619@mturlrep13_201309111927_804737407.txt
hive> SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
FAILED: SemanticException [Error 10011]: Line 1:336 Invalid function 'GREATEST'
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31900@mturlrep13_201309111928_2860526.txt
hive> ;
hive> quit;
times: 3
query: SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_32327@mturlrep13_201309111928_474072567.txt
hive> SELECT SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)), avg(length(Referer)) AS l, count(*) AS c, MAX(Referer) FROM hits_10m WHERE Referer != '' GROUP BY SUBSTRING(SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2), 1, GREATEST(0, FIND_IN_SET('/', SUBSTRING(Referer, FIND_IN_SET('//', Referer) + 2)) - 1)) HAVING count(*) > 100000 ORDER BY l DESC LIMIT 25;;
FAILED: SemanticException [Error 10011]: Line 1:336 Invalid function 'GREATEST'
hive> quit;
-- то же самое, но с разбивкой по доменам.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_32599@mturlrep13_201309111928_1292767865.txt
hive> ;
hive> quit;
times: 1
query: SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_624@mturlrep13_201309111928_489280386.txt
hive> SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0345
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:28:32,803 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:28:45,869 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:28:51,894 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:28:57,917 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:29:04,947 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:05,953 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:06,959 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:07,965 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:08,970 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:09,987 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:10,992 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:11,998 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:13,003 Stage-1 map = 32%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:14,008 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:15,013 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:16,017 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:17,022 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:18,027 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:19,031 Stage-1 map = 39%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:20,036 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:21,040 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:22,045 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:23,050 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:24,055 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 69.54 sec
2013-09-11 19:29:25,080 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 90.43 sec
2013-09-11 19:29:26,085 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:27,090 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:28,095 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:29,100 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:30,105 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:31,109 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.27 sec
2013-09-11 19:29:32,114 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:33,119 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:34,123 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:35,177 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:36,182 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:37,186 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:38,191 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:39,195 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:40,226 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:41,230 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:42,234 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:43,239 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:44,243 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:45,267 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:46,271 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:47,276 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:48,280 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:49,284 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:50,289 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:51,293 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:52,297 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:53,301 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:54,306 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:55,311 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:56,316 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:57,321 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:58,332 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:29:59,337 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:30:00,342 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:30:01,347 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:30:02,352 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:30:03,357 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 112.27 sec
2013-09-11 19:30:04,363 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:05,368 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:06,374 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:07,379 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:08,384 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:09,389 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:10,395 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:11,400 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:12,405 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 195.43 sec
2013-09-11 19:30:13,411 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 205.31 sec
2013-09-11 19:30:14,416 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 205.31 sec
2013-09-11 19:30:15,421 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 205.31 sec
2013-09-11 19:30:16,426 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 205.31 sec
2013-09-11 19:30:17,431 Stage-1 map = 97%, reduce = 25%, Cumulative CPU 205.31 sec
2013-09-11 19:30:18,436 Stage-1 map = 97%, reduce = 25%, Cumulative CPU 205.31 sec
2013-09-11 19:30:19,441 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 222.12 sec
2013-09-11 19:30:20,446 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 222.12 sec
2013-09-11 19:30:21,451 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 222.12 sec
2013-09-11 19:30:22,456 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 222.12 sec
2013-09-11 19:30:23,463 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.88 sec
2013-09-11 19:30:24,469 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.88 sec
2013-09-11 19:30:25,475 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.88 sec
MapReduce Total cumulative CPU time: 3 minutes 44 seconds 880 msec
Ended Job = job_201309101627_0345
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 224.88 sec HDFS Read: 7797536 HDFS Write: 1080 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 44 seconds 880 msec
OK
Time taken: 123.601 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3693@mturlrep13_201309111930_78582272.txt
hive> ;
hive> quit;
times: 2
query: SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4150@mturlrep13_201309111930_88890337.txt
hive> SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0346
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:30:39,700 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:30:50,746 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:30:59,777 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:31:05,802 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:06,807 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:07,813 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:08,820 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:09,825 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:10,829 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:11,833 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:12,838 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:13,842 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:14,847 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:15,852 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:16,857 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:17,861 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:18,866 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:19,870 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:20,875 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:21,879 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:22,883 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:23,887 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:24,892 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:25,896 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:26,900 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:27,904 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:28,908 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:29,912 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:30,917 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:31,921 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 50.77 sec
2013-09-11 19:31:32,928 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 81.31 sec
2013-09-11 19:31:33,934 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:34,939 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:35,944 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:36,949 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:37,954 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:38,960 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 112.9 sec
2013-09-11 19:31:39,965 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:40,970 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:41,975 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:42,980 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:43,985 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:44,990 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:45,994 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:47,031 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:48,036 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:49,041 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:50,046 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:51,052 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:52,081 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:53,086 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:54,091 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:55,096 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:56,101 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:57,115 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:58,119 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:31:59,128 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:00,132 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:01,137 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:02,165 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:03,170 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:04,175 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 112.9 sec
2013-09-11 19:32:05,181 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:06,186 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:07,191 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:08,196 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:09,201 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:10,206 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:11,210 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:12,215 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:13,220 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:14,226 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:15,230 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:16,236 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:17,241 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:18,246 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:19,251 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 181.27 sec
2013-09-11 19:32:20,256 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 200.03 sec
2013-09-11 19:32:21,260 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 200.03 sec
2013-09-11 19:32:22,268 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 200.03 sec
2013-09-11 19:32:23,273 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 200.03 sec
2013-09-11 19:32:24,278 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 200.03 sec
2013-09-11 19:32:25,282 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:26,287 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:27,291 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:28,296 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:29,300 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:30,304 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 221.55 sec
2013-09-11 19:32:31,311 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.51 sec
2013-09-11 19:32:32,315 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.51 sec
2013-09-11 19:32:33,320 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 224.51 sec
MapReduce Total cumulative CPU time: 3 minutes 44 seconds 510 msec
Ended Job = job_201309101627_0346
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 224.51 sec HDFS Read: 7797536 HDFS Write: 1080 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 44 seconds 510 msec
OK
Time taken: 121.982 seconds, Fetched: 1 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6746@mturlrep13_201309111932_688661171.txt
hive> ;
hive> quit;
times: 3
query: SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7179@mturlrep13_201309111932_74538691.txt
hive> SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits_10m;;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0347
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-11 19:32:47,696 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:32:58,740 Stage-1 map = 4%, reduce = 0%
2013-09-11 19:33:01,753 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:33:07,785 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:08,792 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:09,798 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:10,803 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:11,809 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:12,814 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:13,819 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:14,824 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:15,829 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:16,834 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:17,840 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:18,845 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:19,850 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:20,855 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:21,860 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:22,865 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:23,870 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:24,876 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:25,881 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:26,886 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:27,891 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:28,896 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:29,901 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:30,906 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:31,911 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:32,915 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:33,920 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:34,925 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:35,930 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:36,935 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:37,939 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:38,944 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:39,952 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 39.05 sec
2013-09-11 19:33:40,959 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 76.73 sec
2013-09-11 19:33:41,965 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:42,970 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:43,975 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:44,981 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:45,986 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:46,991 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:47,996 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 114.74 sec
2013-09-11 19:33:49,020 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:50,025 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:51,030 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:52,035 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:53,040 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:54,045 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:55,050 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:56,055 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:57,060 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:58,064 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:33:59,113 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:00,118 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:01,123 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:02,128 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:03,132 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:04,146 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 114.74 sec
2013-09-11 19:34:05,152 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:06,161 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:07,166 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:08,171 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:09,196 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:10,201 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:11,206 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:12,211 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:13,217 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:14,237 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:15,242 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:16,247 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:17,252 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:18,257 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:19,262 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:20,267 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:21,272 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:22,277 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:23,282 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:24,287 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:25,292 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:26,297 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:27,302 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:28,307 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:29,311 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 167.26 sec
2013-09-11 19:34:30,316 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:31,320 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:32,325 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:33,330 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:34,335 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:35,339 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 193.91 sec
2013-09-11 19:34:36,344 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 226.92 sec
2013-09-11 19:34:37,348 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 226.92 sec
2013-09-11 19:34:38,353 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 226.92 sec
2013-09-11 19:34:39,358 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 226.92 sec
2013-09-11 19:34:40,364 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 230.01 sec
2013-09-11 19:34:41,369 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 230.01 sec
MapReduce Total cumulative CPU time: 3 minutes 50 seconds 10 msec
Ended Job = job_201309101627_0347
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 230.01 sec HDFS Read: 7797536 HDFS Write: 1080 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 50 seconds 10 msec
OK
Time taken: 122.089 seconds, Fetched: 1 row(s)
hive> quit;
-- много тупых агрегатных функций.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9487@mturlrep13_201309111934_1498253935.txt
hive> ;
hive> quit;
times: 1
query: SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9958@mturlrep13_201309111934_990229488.txt
hive> SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0348
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:35:01,929 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:35:08,962 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:35:11,984 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:12,991 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:13,999 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:15,006 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:16,013 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:17,021 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:18,028 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 25.29 sec
2013-09-11 19:35:19,035 Stage-1 map = 80%, reduce = 8%, Cumulative CPU 25.29 sec
2013-09-11 19:35:20,041 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 25.29 sec
2013-09-11 19:35:21,048 Stage-1 map = 89%, reduce = 17%, Cumulative CPU 36.02 sec
2013-09-11 19:35:22,054 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:23,061 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:24,068 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:25,074 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:26,080 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:27,087 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.81 sec
2013-09-11 19:35:28,094 Stage-1 map = 100%, reduce = 54%, Cumulative CPU 47.81 sec
2013-09-11 19:35:29,102 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.62 sec
2013-09-11 19:35:30,109 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.62 sec
2013-09-11 19:35:31,116 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.62 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 620 msec
Ended Job = job_201309101627_0348
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0349
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:35:34,611 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:35:41,634 Stage-2 map = 52%, reduce = 0%
2013-09-11 19:35:43,642 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:44,647 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:45,653 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:46,657 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:47,662 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:48,667 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:49,672 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.27 sec
2013-09-11 19:35:50,678 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 11.27 sec
2013-09-11 19:35:51,683 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 13.93 sec
2013-09-11 19:35:52,688 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 13.93 sec
2013-09-11 19:35:53,694 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 13.93 sec
MapReduce Total cumulative CPU time: 13 seconds 930 msec
Ended Job = job_201309101627_0349
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.62 sec HDFS Read: 69312553 HDFS Write: 31841963 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 13.93 sec HDFS Read: 31842732 HDFS Write: 372 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 16 seconds 550 msec
OK
Time taken: 61.8 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13220@mturlrep13_201309111935_1450466202.txt
hive> ;
hive> quit;
times: 2
query: SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13656@mturlrep13_201309111935_882257175.txt
hive> SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0350
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:36:06,591 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:36:14,621 Stage-1 map = 39%, reduce = 0%
2013-09-11 19:36:15,633 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:16,640 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:17,650 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:18,657 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:19,663 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:20,670 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:21,677 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:22,683 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-11 19:36:23,689 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 23.79 sec
2013-09-11 19:36:24,694 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:25,700 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:26,706 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:27,711 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:28,717 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:29,723 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:30,728 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:31,734 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 47.4 sec
2013-09-11 19:36:32,740 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 47.4 sec
2013-09-11 19:36:33,748 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.39 sec
2013-09-11 19:36:34,754 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.39 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 390 msec
Ended Job = job_201309101627_0350
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0351
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:36:38,242 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:36:45,265 Stage-2 map = 52%, reduce = 0%
2013-09-11 19:36:47,275 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:48,280 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:49,285 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:50,289 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:51,294 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:52,299 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:53,303 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.17 sec
2013-09-11 19:36:54,308 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 12.17 sec
2013-09-11 19:36:55,313 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 12.17 sec
2013-09-11 19:36:56,319 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 14.91 sec
2013-09-11 19:36:57,324 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 14.91 sec
MapReduce Total cumulative CPU time: 14 seconds 910 msec
Ended Job = job_201309101627_0351
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.39 sec HDFS Read: 69312553 HDFS Write: 31841963 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 14.91 sec HDFS Read: 31842732 HDFS Write: 372 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 17 seconds 300 msec
OK
Time taken: 58.141 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16233@mturlrep13_201309111936_495916780.txt
hive> ;
hive> quit;
times: 3
query: SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16705@mturlrep13_201309111937_103662092.txt
hive> SELECT SearchEngineID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0352
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:37:11,503 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:37:18,531 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:37:20,547 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:21,555 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:22,563 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:23,569 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:24,576 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:25,582 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:26,589 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.6 sec
2013-09-11 19:37:27,596 Stage-1 map = 88%, reduce = 8%, Cumulative CPU 24.6 sec
2013-09-11 19:37:28,602 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 24.6 sec
2013-09-11 19:37:29,608 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:30,613 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:31,618 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:32,624 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:33,630 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:34,635 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:35,640 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.04 sec
2013-09-11 19:37:36,645 Stage-1 map = 100%, reduce = 55%, Cumulative CPU 48.04 sec
2013-09-11 19:37:37,652 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.72 sec
2013-09-11 19:37:38,658 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.72 sec
2013-09-11 19:37:39,664 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.72 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 720 msec
Ended Job = job_201309101627_0352
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0353
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:37:42,202 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:37:50,230 Stage-2 map = 52%, reduce = 0%
2013-09-11 19:37:51,236 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:52,243 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:53,248 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:54,253 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:55,258 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:56,263 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:57,268 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 11.46 sec
2013-09-11 19:37:58,272 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 11.46 sec
2013-09-11 19:37:59,277 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 11.46 sec
2013-09-11 19:38:00,283 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 14.2 sec
2013-09-11 19:38:01,289 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 14.2 sec
MapReduce Total cumulative CPU time: 14 seconds 200 msec
Ended Job = job_201309101627_0353
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.72 sec HDFS Read: 69312553 HDFS Write: 31841963 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 14.2 sec HDFS Read: 31842732 HDFS Write: 372 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 16 seconds 920 msec
OK
Time taken: 58.209 seconds, Fetched: 10 row(s)
hive> quit;
-- сложная агрегация, для больших таблиц может не хватить оперативки.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19487@mturlrep13_201309111938_449325071.txt
hive> ;
hive> quit;
times: 1
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19952@mturlrep13_201309111938_524378054.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0354
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:38:23,549 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:38:30,587 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:38:33,607 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:34,614 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:35,622 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:36,628 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:37,635 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:38,642 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:39,649 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:40,655 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.07 sec
2013-09-11 19:38:41,660 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.07 sec
2013-09-11 19:38:42,665 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.07 sec
2013-09-11 19:38:43,671 Stage-1 map = 89%, reduce = 17%, Cumulative CPU 36.3 sec
2013-09-11 19:38:44,676 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:45,681 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:46,686 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:47,691 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:48,696 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:49,702 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.95 sec
2013-09-11 19:38:50,707 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 48.95 sec
2013-09-11 19:38:51,715 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 57.98 sec
2013-09-11 19:38:52,721 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 66.7 sec
2013-09-11 19:38:53,727 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 66.7 sec
MapReduce Total cumulative CPU time: 1 minutes 6 seconds 700 msec
Ended Job = job_201309101627_0354
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0355
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:38:57,273 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:39:07,307 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.01 sec
2013-09-11 19:39:08,312 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.01 sec
2013-09-11 19:39:09,316 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 10.01 sec
2013-09-11 19:39:10,321 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:11,326 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:12,331 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:13,336 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:14,341 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:15,346 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:16,350 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.48 sec
2013-09-11 19:39:17,356 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.48 sec
2013-09-11 19:39:18,361 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.48 sec
2013-09-11 19:39:19,366 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.34 sec
2013-09-11 19:39:20,372 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.34 sec
2013-09-11 19:39:21,377 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.34 sec
MapReduce Total cumulative CPU time: 22 seconds 340 msec
Ended Job = job_201309101627_0355
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 66.7 sec HDFS Read: 112931901 HDFS Write: 72725701 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 22.34 sec HDFS Read: 72726470 HDFS Write: 417 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 29 seconds 40 msec
OK
Time taken: 67.908 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_22641@mturlrep13_201309111939_2035435508.txt
hive> ;
hive> quit;
times: 2
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_23093@mturlrep13_201309111939_526667313.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0356
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:39:35,562 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:39:42,588 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:39:44,605 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:45,612 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:46,620 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:47,626 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:48,632 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:49,638 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:50,644 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:51,650 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.84 sec
2013-09-11 19:39:52,655 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 24.84 sec
2013-09-11 19:39:53,660 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 36.18 sec
2013-09-11 19:39:54,665 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:39:55,671 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:39:56,676 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:39:57,682 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:39:58,688 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:39:59,693 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:40:00,698 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.13 sec
2013-09-11 19:40:01,705 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 48.13 sec
2013-09-11 19:40:02,710 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 48.13 sec
2013-09-11 19:40:03,717 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 66.55 sec
2013-09-11 19:40:04,723 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 66.55 sec
MapReduce Total cumulative CPU time: 1 minutes 6 seconds 550 msec
Ended Job = job_201309101627_0356
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0357
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:40:08,243 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:40:18,275 Stage-2 map = 50%, reduce = 0%
2013-09-11 19:40:21,285 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:22,290 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:23,295 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:24,299 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:25,303 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:26,308 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:27,312 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.04 sec
2013-09-11 19:40:28,319 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.04 sec
2013-09-11 19:40:29,325 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.04 sec
2013-09-11 19:40:30,331 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.87 sec
2013-09-11 19:40:31,336 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.87 sec
2013-09-11 19:40:32,341 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.87 sec
MapReduce Total cumulative CPU time: 22 seconds 870 msec
Ended Job = job_201309101627_0357
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 66.55 sec HDFS Read: 112931901 HDFS Write: 72725701 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 22.87 sec HDFS Read: 72726470 HDFS Write: 417 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 29 seconds 420 msec
OK
Time taken: 65.342 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_26473@mturlrep13_201309111940_1279166240.txt
hive> ;
hive> quit;
times: 3
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_26931@mturlrep13_201309111940_790078242.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0358
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:40:46,365 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:40:53,395 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:40:55,412 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:40:56,420 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:40:57,429 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:40:58,435 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:40:59,442 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:41:00,449 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:41:01,457 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.12 sec
2013-09-11 19:41:02,463 Stage-1 map = 68%, reduce = 8%, Cumulative CPU 24.12 sec
2013-09-11 19:41:03,469 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 24.12 sec
2013-09-11 19:41:04,475 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.93 sec
2013-09-11 19:41:05,481 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:06,487 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:07,493 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:08,499 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:09,505 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:10,511 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.42 sec
2013-09-11 19:41:11,518 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 48.42 sec
2013-09-11 19:41:12,524 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 48.42 sec
2013-09-11 19:41:13,531 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 56.93 sec
2013-09-11 19:41:14,537 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 65.67 sec
2013-09-11 19:41:15,544 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 65.67 sec
MapReduce Total cumulative CPU time: 1 minutes 5 seconds 670 msec
Ended Job = job_201309101627_0358
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0359
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 19:41:19,228 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:41:29,262 Stage-2 map = 50%, reduce = 0%
2013-09-11 19:41:32,273 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:33,278 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:34,283 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:35,287 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:36,291 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:37,296 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:38,301 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 17.08 sec
2013-09-11 19:41:39,307 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.08 sec
2013-09-11 19:41:40,311 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 17.08 sec
2013-09-11 19:41:41,317 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 21.69 sec
2013-09-11 19:41:42,323 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 21.69 sec
2013-09-11 19:41:43,328 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 21.69 sec
MapReduce Total cumulative CPU time: 21 seconds 690 msec
Ended Job = job_201309101627_0359
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 65.67 sec HDFS Read: 112931901 HDFS Write: 72725701 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 21.69 sec HDFS Read: 72726470 HDFS Write: 417 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 27 seconds 360 msec
OK
Time taken: 65.41 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация по двум полям, которая ничего не агрегирует. Для больших таблиц выполнить не получится.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_29665@mturlrep13_201309111941_1737478499.txt
hive> ;
hive> quit;
times: 1
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30133@mturlrep13_201309111941_1994654944.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0360
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:42:06,244 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:42:13,269 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:42:16,281 Stage-1 map = 18%, reduce = 0%
2013-09-11 19:42:19,293 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:42:22,306 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:42:25,316 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:42:27,330 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 25.54 sec
2013-09-11 19:42:28,336 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:29,343 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:30,349 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:31,354 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:32,359 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:33,365 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.11 sec
2013-09-11 19:42:34,370 Stage-1 map = 54%, reduce = 13%, Cumulative CPU 53.11 sec
2013-09-11 19:42:35,375 Stage-1 map = 57%, reduce = 13%, Cumulative CPU 53.11 sec
2013-09-11 19:42:36,381 Stage-1 map = 57%, reduce = 13%, Cumulative CPU 53.11 sec
2013-09-11 19:42:37,386 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:38,391 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:39,397 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:40,403 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:41,408 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:42,423 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:43,428 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:44,433 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:45,439 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 53.11 sec
2013-09-11 19:42:46,444 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 76.02 sec
2013-09-11 19:42:47,449 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 76.02 sec
2013-09-11 19:42:48,454 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 102.55 sec
2013-09-11 19:42:49,458 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 102.55 sec
2013-09-11 19:42:50,462 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 102.55 sec
2013-09-11 19:42:51,466 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 102.55 sec
2013-09-11 19:42:52,471 Stage-1 map = 100%, reduce = 46%, Cumulative CPU 102.55 sec
2013-09-11 19:42:53,475 Stage-1 map = 100%, reduce = 46%, Cumulative CPU 102.55 sec
2013-09-11 19:42:54,479 Stage-1 map = 100%, reduce = 46%, Cumulative CPU 102.55 sec
2013-09-11 19:42:55,484 Stage-1 map = 100%, reduce = 52%, Cumulative CPU 102.55 sec
2013-09-11 19:42:57,407 Stage-1 map = 100%, reduce = 52%, Cumulative CPU 102.55 sec
2013-09-11 19:42:58,412 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 102.55 sec
2013-09-11 19:42:59,417 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 102.55 sec
2013-09-11 19:43:00,422 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 102.55 sec
2013-09-11 19:43:01,427 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 102.55 sec
2013-09-11 19:43:02,432 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 102.55 sec
2013-09-11 19:43:03,438 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 102.55 sec
2013-09-11 19:43:04,443 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 102.55 sec
2013-09-11 19:43:05,450 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 139.29 sec
2013-09-11 19:43:06,456 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 139.29 sec
2013-09-11 19:43:07,461 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 139.29 sec
2013-09-11 19:43:08,467 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 139.29 sec
2013-09-11 19:43:09,472 Stage-1 map = 100%, reduce = 83%, Cumulative CPU 139.29 sec
2013-09-11 19:43:10,477 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 139.29 sec
2013-09-11 19:43:11,487 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 139.29 sec
2013-09-11 19:43:12,493 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 139.29 sec
2013-09-11 19:43:13,498 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 139.29 sec
2013-09-11 19:43:14,503 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 139.29 sec
2013-09-11 19:43:15,508 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 139.29 sec
2013-09-11 19:43:16,514 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 151.55 sec
2013-09-11 19:43:17,625 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 151.55 sec
2013-09-11 19:43:18,631 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 151.55 sec
2013-09-11 19:43:19,637 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 151.55 sec
2013-09-11 19:43:20,642 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 151.55 sec
2013-09-11 19:43:21,646 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 151.55 sec
2013-09-11 19:43:22,850 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.64 sec
2013-09-11 19:43:23,855 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.64 sec
MapReduce Total cumulative CPU time: 2 minutes 49 seconds 640 msec
Ended Job = job_201309101627_0360
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0361
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:43:27,476 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:43:40,514 Stage-2 map = 36%, reduce = 0%
2013-09-11 19:43:49,541 Stage-2 map = 72%, reduce = 0%
2013-09-11 19:43:51,548 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:52,553 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:53,557 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:54,561 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:55,565 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:56,817 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:57,821 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.17 sec
2013-09-11 19:43:58,825 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:43:59,829 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:00,834 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:01,838 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:02,842 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:03,846 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:04,850 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.17 sec
2013-09-11 19:44:05,855 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 75.56 sec
2013-09-11 19:44:06,860 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 75.56 sec
2013-09-11 19:44:07,865 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 75.56 sec
2013-09-11 19:44:08,869 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:09,874 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:10,878 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:11,882 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:12,886 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:13,891 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:14,896 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:15,900 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:16,904 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.0 sec
2013-09-11 19:44:17,908 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.0 sec
2013-09-11 19:44:18,913 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.0 sec
2013-09-11 19:44:19,917 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.0 sec
2013-09-11 19:44:20,921 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 79.0 sec
2013-09-11 19:44:21,925 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 79.0 sec
2013-09-11 19:44:23,426 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 88.07 sec
2013-09-11 19:44:24,431 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 88.07 sec
2013-09-11 19:44:25,436 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 88.07 sec
MapReduce Total cumulative CPU time: 1 minutes 28 seconds 70 msec
Ended Job = job_201309101627_0361
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 169.64 sec HDFS Read: 85707829 HDFS Write: 413932232 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 88.07 sec HDFS Read: 413942944 HDFS Write: 420 SUCCESS
Total MapReduce CPU Time Spent: 4 minutes 17 seconds 710 msec
OK
Time taken: 149.238 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1184@mturlrep13_201309111944_629860670.txt
hive> ;
hive> quit;
times: 2
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1658@mturlrep13_201309111944_819122527.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0362
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:44:39,567 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:44:49,606 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:44:52,619 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:44:55,633 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:44:58,646 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:45:01,658 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:45:03,673 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 25.75 sec
2013-09-11 19:45:04,680 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:05,689 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:06,695 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:07,702 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:08,708 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:09,714 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 53.01 sec
2013-09-11 19:45:10,720 Stage-1 map = 54%, reduce = 8%, Cumulative CPU 53.01 sec
2013-09-11 19:45:11,726 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:12,732 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:13,738 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:14,744 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:15,750 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:16,756 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:17,762 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:18,768 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:19,774 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:20,780 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 53.01 sec
2013-09-11 19:45:21,786 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 76.34 sec
2013-09-11 19:45:22,792 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 76.34 sec
2013-09-11 19:45:23,798 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 102.7 sec
2013-09-11 19:45:24,803 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 102.7 sec
2013-09-11 19:45:25,808 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 102.7 sec
2013-09-11 19:45:26,814 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 102.7 sec
2013-09-11 19:45:27,820 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 102.7 sec
2013-09-11 19:45:28,826 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 102.7 sec
2013-09-11 19:45:29,831 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 102.7 sec
2013-09-11 19:45:30,837 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 102.7 sec
2013-09-11 19:45:31,842 Stage-1 map = 100%, reduce = 68%, Cumulative CPU 102.7 sec
2013-09-11 19:45:33,451 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 102.7 sec
2013-09-11 19:45:34,456 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 102.7 sec
2013-09-11 19:45:35,462 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 102.7 sec
2013-09-11 19:45:36,468 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 102.7 sec
2013-09-11 19:45:37,473 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 102.7 sec
2013-09-11 19:45:38,479 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 102.7 sec
2013-09-11 19:45:39,485 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 102.7 sec
2013-09-11 19:45:40,490 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 102.7 sec
2013-09-11 19:45:41,496 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 102.7 sec
2013-09-11 19:45:42,502 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 102.7 sec
2013-09-11 19:45:43,508 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 102.7 sec
2013-09-11 19:45:44,514 Stage-1 map = 100%, reduce = 89%, Cumulative CPU 102.7 sec
2013-09-11 19:45:45,519 Stage-1 map = 100%, reduce = 89%, Cumulative CPU 102.7 sec
2013-09-11 19:45:46,525 Stage-1 map = 100%, reduce = 89%, Cumulative CPU 102.7 sec
2013-09-11 19:45:47,537 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 102.7 sec
2013-09-11 19:45:48,542 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 102.7 sec
2013-09-11 19:45:49,548 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 102.7 sec
2013-09-11 19:45:50,554 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 102.7 sec
2013-09-11 19:45:51,561 Stage-1 map = 100%, reduce = 99%, Cumulative CPU 134.99 sec
2013-09-11 19:45:52,567 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 168.39 sec
2013-09-11 19:45:53,572 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 168.39 sec
MapReduce Total cumulative CPU time: 2 minutes 48 seconds 390 msec
Ended Job = job_201309101627_0362
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0363
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:45:57,372 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:46:10,035 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:11,039 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:12,044 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:13,049 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:14,053 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:15,058 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:16,062 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:17,067 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:18,071 Stage-2 map = 36%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:19,076 Stage-2 map = 48%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:20,081 Stage-2 map = 72%, reduce = 0%, Cumulative CPU 19.18 sec
2013-09-11 19:46:21,086 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:22,091 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:23,095 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:24,100 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:25,104 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:26,109 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:27,115 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 37.8 sec
2013-09-11 19:46:28,120 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:29,124 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:30,128 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:31,133 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:32,138 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:33,142 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:34,147 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:35,152 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:36,157 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:37,161 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:38,166 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:39,171 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 37.8 sec
2013-09-11 19:46:40,175 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:41,180 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:42,184 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:43,189 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:44,194 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:45,198 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.37 sec
2013-09-11 19:46:46,202 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 77.37 sec
2013-09-11 19:46:47,207 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 77.37 sec
2013-09-11 19:46:48,211 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 77.37 sec
2013-09-11 19:46:49,216 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 77.37 sec
2013-09-11 19:46:50,222 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 77.37 sec
2013-09-11 19:46:51,227 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 87.68 sec
2013-09-11 19:46:52,232 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 87.68 sec
MapReduce Total cumulative CPU time: 1 minutes 27 seconds 680 msec
Ended Job = job_201309101627_0363
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 168.39 sec HDFS Read: 85707829 HDFS Write: 413932232 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 87.68 sec HDFS Read: 413942944 HDFS Write: 420 SUCCESS
Total MapReduce CPU Time Spent: 4 minutes 16 seconds 70 msec
OK
Time taken: 141.031 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5940@mturlrep13_201309111946_577038948.txt
hive> ;
hive> quit;
times: 3
query: SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6372@mturlrep13_201309111946_455901052.txt
hive> SELECT WatchID, ClientIP, count(*) AS c, sum(Refresh), avg(ResolutionWidth) FROM hits_10m GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0364
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:47:05,315 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:47:13,350 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:47:16,363 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:47:19,377 Stage-1 map = 32%, reduce = 0%
2013-09-11 19:47:22,391 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:47:25,410 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:26,416 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:27,424 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:28,430 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:29,436 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:30,442 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:31,448 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.14 sec
2013-09-11 19:47:32,453 Stage-1 map = 54%, reduce = 8%, Cumulative CPU 52.14 sec
2013-09-11 19:47:33,459 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:34,465 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:35,470 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:36,476 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:37,482 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:38,488 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:39,493 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:40,499 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:41,505 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:42,511 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-11 19:47:43,517 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 75.85 sec
2013-09-11 19:47:44,523 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 75.85 sec
2013-09-11 19:47:45,529 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 103.18 sec
2013-09-11 19:47:46,534 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 103.18 sec
2013-09-11 19:47:47,539 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 103.18 sec
2013-09-11 19:47:48,544 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 103.18 sec
2013-09-11 19:47:49,550 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 103.18 sec
2013-09-11 19:47:50,555 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 103.18 sec
2013-09-11 19:47:51,561 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 103.18 sec
2013-09-11 19:47:52,566 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 103.18 sec
2013-09-11 19:47:53,571 Stage-1 map = 100%, reduce = 69%, Cumulative CPU 103.18 sec
2013-09-11 19:47:54,577 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 103.18 sec
2013-09-11 19:47:55,582 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 103.18 sec
2013-09-11 19:47:56,587 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 103.18 sec
2013-09-11 19:47:57,592 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 103.18 sec
2013-09-11 19:47:59,138 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 103.18 sec
2013-09-11 19:48:00,143 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 103.18 sec
2013-09-11 19:48:01,149 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 103.18 sec
2013-09-11 19:48:02,154 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 103.18 sec
2013-09-11 19:48:03,159 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 103.18 sec
2013-09-11 19:48:04,164 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 103.18 sec
2013-09-11 19:48:05,169 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 103.18 sec
2013-09-11 19:48:06,177 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 151.44 sec
2013-09-11 19:48:07,182 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 151.44 sec
2013-09-11 19:48:08,188 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 151.44 sec
2013-09-11 19:48:09,193 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 151.44 sec
2013-09-11 19:48:10,199 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 151.44 sec
2013-09-11 19:48:11,210 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 151.44 sec
2013-09-11 19:48:12,216 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 151.44 sec
2013-09-11 19:48:13,222 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 151.44 sec
2013-09-11 19:48:14,228 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.64 sec
2013-09-11 19:48:15,234 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.64 sec
2013-09-11 19:48:16,239 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.64 sec
MapReduce Total cumulative CPU time: 2 minutes 49 seconds 640 msec
Ended Job = job_201309101627_0364
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0365
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:48:18,890 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:48:32,931 Stage-2 map = 36%, reduce = 0%
2013-09-11 19:48:41,958 Stage-2 map = 72%, reduce = 0%
2013-09-11 19:48:43,966 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:44,971 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:45,976 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:46,981 Stage-2 map = 74%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:47,986 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:48,991 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:49,996 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 29.01 sec
2013-09-11 19:48:51,001 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:52,006 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:53,011 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:54,028 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:55,033 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:56,038 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:57,043 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:58,048 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:48:59,053 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:49:00,058 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 29.01 sec
2013-09-11 19:49:01,063 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.48 sec
2013-09-11 19:49:02,068 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.48 sec
2013-09-11 19:49:03,072 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.48 sec
2013-09-11 19:49:04,077 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.48 sec
2013-09-11 19:49:05,081 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 77.48 sec
2013-09-11 19:49:06,086 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.28 sec
2013-09-11 19:49:07,091 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.28 sec
2013-09-11 19:49:08,095 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.28 sec
2013-09-11 19:49:09,100 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 79.28 sec
2013-09-11 19:49:10,104 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.28 sec
2013-09-11 19:49:11,109 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.28 sec
2013-09-11 19:49:12,113 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 79.28 sec
2013-09-11 19:49:13,117 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 79.28 sec
2013-09-11 19:49:14,122 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 79.28 sec
2013-09-11 19:49:15,556 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 87.92 sec
2013-09-11 19:49:16,561 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 87.92 sec
MapReduce Total cumulative CPU time: 1 minutes 27 seconds 920 msec
Ended Job = job_201309101627_0365
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 169.64 sec HDFS Read: 85707829 HDFS Write: 413932232 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 87.92 sec HDFS Read: 413942944 HDFS Write: 420 SUCCESS
Total MapReduce CPU Time Spent: 4 minutes 17 seconds 560 msec
OK
Time taken: 138.703 seconds, Fetched: 10 row(s)
hive> quit;
-- то же самое, но ещё и без фильтрации.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9642@mturlrep13_201309111949_27347921.txt
hive> ;
hive> quit;
times: 1
query: SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_10116@mturlrep13_201309111949_204794215.txt
hive> SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0366
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:49:39,677 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:49:46,707 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:49:49,719 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:49:52,731 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:49:55,744 Stage-1 map = 39%, reduce = 0%
2013-09-11 19:49:58,755 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:50:00,769 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 27.34 sec
2013-09-11 19:50:01,775 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:02,783 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:03,789 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:04,794 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:05,800 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:06,806 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:07,812 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.01 sec
2013-09-11 19:50:08,818 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 55.01 sec
2013-09-11 19:50:09,824 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 55.01 sec
2013-09-11 19:50:10,830 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 55.01 sec
2013-09-11 19:50:11,836 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:12,841 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:13,847 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:14,853 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:15,859 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:16,864 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:17,871 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:18,877 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:19,882 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:20,888 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-11 19:50:21,893 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 79.56 sec
2013-09-11 19:50:22,898 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.88 sec
2013-09-11 19:50:23,903 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.88 sec
2013-09-11 19:50:24,909 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.88 sec
2013-09-11 19:50:25,914 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 106.88 sec
2013-09-11 19:50:26,919 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 106.88 sec
2013-09-11 19:50:27,924 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 106.88 sec
2013-09-11 19:50:28,929 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 106.88 sec
2013-09-11 19:50:29,935 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 106.88 sec
2013-09-11 19:50:32,380 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 106.88 sec
2013-09-11 19:50:34,489 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 106.88 sec
2013-09-11 19:50:35,495 Stage-1 map = 100%, reduce = 77%, Cumulative CPU 106.88 sec
2013-09-11 19:50:36,500 Stage-1 map = 100%, reduce = 77%, Cumulative CPU 106.88 sec
2013-09-11 19:50:37,506 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 106.88 sec
2013-09-11 19:50:38,511 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 106.88 sec
2013-09-11 19:50:39,517 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 106.88 sec
2013-09-11 19:50:40,522 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 106.88 sec
2013-09-11 19:50:41,531 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 132.09 sec
2013-09-11 19:50:42,536 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 132.09 sec
2013-09-11 19:50:43,542 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 158.78 sec
2013-09-11 19:50:44,569 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 158.78 sec
MapReduce Total cumulative CPU time: 2 minutes 38 seconds 780 msec
Ended Job = job_201309101627_0366
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0367
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:50:48,203 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:50:55,225 Stage-2 map = 25%, reduce = 0%
2013-09-11 19:50:57,233 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:50:58,238 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:50:59,243 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:51:00,248 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:51:02,193 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:51:03,198 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.37 sec
2013-09-11 19:51:04,203 Stage-2 map = 87%, reduce = 17%, Cumulative CPU 13.37 sec
2013-09-11 19:51:05,207 Stage-2 map = 87%, reduce = 17%, Cumulative CPU 13.37 sec
2013-09-11 19:51:06,213 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:07,218 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:08,223 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:09,227 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:10,232 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:11,237 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:12,242 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.58 sec
2013-09-11 19:51:13,591 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 37.58 sec
2013-09-11 19:51:14,596 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 37.58 sec
2013-09-11 19:51:15,601 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 43.87 sec
2013-09-11 19:51:16,606 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 43.87 sec
MapReduce Total cumulative CPU time: 43 seconds 870 msec
Ended Job = job_201309101627_0367
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 158.78 sec HDFS Read: 109451651 HDFS Write: 399298510 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 43.87 sec HDFS Read: 399308173 HDFS Write: 445 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 22 seconds 650 msec
OK
Time taken: 107.308 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13554@mturlrep13_201309111951_64701143.txt
hive> ;
hive> quit;
times: 2
query: SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13986@mturlrep13_201309111951_819836063.txt
hive> SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0368
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:51:31,116 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:51:38,143 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:51:41,156 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:51:44,168 Stage-1 map = 32%, reduce = 0%
2013-09-11 19:51:47,181 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:51:51,201 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 26.66 sec
2013-09-11 19:51:52,207 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:53,215 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:54,221 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:55,227 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:56,233 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:57,239 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:58,244 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.03 sec
2013-09-11 19:51:59,249 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 54.03 sec
2013-09-11 19:52:00,255 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 54.03 sec
2013-09-11 19:52:01,259 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 54.03 sec
2013-09-11 19:52:02,265 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.03 sec
2013-09-11 19:52:03,271 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.03 sec
2013-09-11 19:52:04,276 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.03 sec
2013-09-11 19:52:05,281 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.03 sec
2013-09-11 19:52:06,287 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:07,292 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:08,298 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:09,303 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:10,309 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:11,314 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 96.31 sec
2013-09-11 19:52:12,318 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 104.46 sec
2013-09-11 19:52:13,323 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 114.6 sec
2013-09-11 19:52:14,328 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 114.6 sec
2013-09-11 19:52:15,333 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 114.6 sec
2013-09-11 19:52:16,338 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 114.6 sec
2013-09-11 19:52:17,343 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 114.6 sec
2013-09-11 19:52:18,349 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 114.6 sec
2013-09-11 19:52:19,354 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 114.6 sec
2013-09-11 19:52:20,359 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 114.6 sec
2013-09-11 19:52:21,364 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 114.6 sec
2013-09-11 19:52:23,754 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 114.6 sec
2013-09-11 19:52:25,932 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 114.6 sec
2013-09-11 19:52:26,938 Stage-1 map = 100%, reduce = 75%, Cumulative CPU 114.6 sec
2013-09-11 19:52:27,944 Stage-1 map = 100%, reduce = 80%, Cumulative CPU 114.6 sec
2013-09-11 19:52:28,949 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 114.6 sec
2013-09-11 19:52:29,955 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 114.6 sec
2013-09-11 19:52:30,961 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 114.6 sec
2013-09-11 19:52:31,966 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 114.6 sec
2013-09-11 19:52:32,974 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 137.85 sec
2013-09-11 19:52:33,979 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 159.23 sec
2013-09-11 19:52:34,984 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 159.23 sec
MapReduce Total cumulative CPU time: 2 minutes 39 seconds 230 msec
Ended Job = job_201309101627_0368
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0369
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:52:38,543 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:52:45,564 Stage-2 map = 25%, reduce = 0%
2013-09-11 19:52:48,575 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:49,579 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:50,583 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:51,588 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:52,593 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:53,597 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:54,602 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.71 sec
2013-09-11 19:52:55,607 Stage-2 map = 87%, reduce = 17%, Cumulative CPU 13.71 sec
2013-09-11 19:52:56,611 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:52:57,615 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:52:58,619 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:52:59,623 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:53:00,627 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:53:01,631 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:53:02,635 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:53:03,639 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.61 sec
2013-09-11 19:53:04,644 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 37.61 sec
2013-09-11 19:53:05,647 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 37.61 sec
2013-09-11 19:53:06,652 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 44.99 sec
2013-09-11 19:53:07,656 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 44.99 sec
MapReduce Total cumulative CPU time: 44 seconds 990 msec
Ended Job = job_201309101627_0369
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 159.23 sec HDFS Read: 109451651 HDFS Write: 399298510 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 44.99 sec HDFS Read: 399308173 HDFS Write: 445 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 24 seconds 220 msec
OK
Time taken: 104.847 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16749@mturlrep13_201309111953_313353407.txt
hive> ;
hive> quit;
times: 3
query: SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_17196@mturlrep13_201309111953_1275155665.txt
hive> SELECT URL, count(*) AS c FROM hits_10m GROUP BY URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0370
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:53:21,695 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:53:28,723 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:53:31,736 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:53:34,749 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:53:37,762 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:53:42,786 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:43,792 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:44,801 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:45,807 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:46,812 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:47,817 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:48,823 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:49,829 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 56.41 sec
2013-09-11 19:53:50,834 Stage-1 map = 61%, reduce = 8%, Cumulative CPU 56.41 sec
2013-09-11 19:53:51,840 Stage-1 map = 61%, reduce = 8%, Cumulative CPU 56.41 sec
2013-09-11 19:53:52,846 Stage-1 map = 61%, reduce = 8%, Cumulative CPU 56.41 sec
2013-09-11 19:53:53,852 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:54,857 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:55,863 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:56,869 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:57,875 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:58,881 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:53:59,887 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:54:00,893 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 56.41 sec
2013-09-11 19:54:01,898 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 80.95 sec
2013-09-11 19:54:02,903 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 80.95 sec
2013-09-11 19:54:03,908 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 107.94 sec
2013-09-11 19:54:04,913 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 107.94 sec
2013-09-11 19:54:05,918 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 107.94 sec
2013-09-11 19:54:06,924 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 116.14 sec
2013-09-11 19:54:07,929 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 116.14 sec
2013-09-11 19:54:08,935 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 116.14 sec
2013-09-11 19:54:09,940 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 116.14 sec
2013-09-11 19:54:10,945 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 116.14 sec
2013-09-11 19:54:11,951 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 116.14 sec
2013-09-11 19:54:12,956 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 116.14 sec
2013-09-11 19:54:15,279 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 116.14 sec
2013-09-11 19:54:16,285 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 116.14 sec
2013-09-11 19:54:17,533 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 116.14 sec
2013-09-11 19:54:18,539 Stage-1 map = 100%, reduce = 80%, Cumulative CPU 116.14 sec
2013-09-11 19:54:19,545 Stage-1 map = 100%, reduce = 80%, Cumulative CPU 116.14 sec
2013-09-11 19:54:20,551 Stage-1 map = 100%, reduce = 80%, Cumulative CPU 116.14 sec
2013-09-11 19:54:21,556 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 116.14 sec
2013-09-11 19:54:22,562 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 116.14 sec
2013-09-11 19:54:23,568 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 116.14 sec
2013-09-11 19:54:24,573 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 116.14 sec
2013-09-11 19:54:25,581 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 161.84 sec
2013-09-11 19:54:26,586 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 161.84 sec
MapReduce Total cumulative CPU time: 2 minutes 41 seconds 840 msec
Ended Job = job_201309101627_0370
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0371
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:54:29,028 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:54:37,052 Stage-2 map = 25%, reduce = 0%
2013-09-11 19:54:39,060 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:40,065 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:41,070 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:42,074 Stage-2 map = 75%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:43,079 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:44,667 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:45,672 Stage-2 map = 87%, reduce = 0%, Cumulative CPU 13.75 sec
2013-09-11 19:54:46,677 Stage-2 map = 87%, reduce = 17%, Cumulative CPU 13.75 sec
2013-09-11 19:54:47,682 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:48,687 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:49,692 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:50,697 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:51,702 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:52,707 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:53,712 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:54,717 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:55,781 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 37.64 sec
2013-09-11 19:54:56,785 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 37.64 sec
2013-09-11 19:54:57,791 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 45.18 sec
2013-09-11 19:54:58,796 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 45.18 sec
2013-09-11 19:54:59,801 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 45.18 sec
MapReduce Total cumulative CPU time: 45 seconds 180 msec
Ended Job = job_201309101627_0371
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 161.84 sec HDFS Read: 109451651 HDFS Write: 399298510 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 45.18 sec HDFS Read: 399308173 HDFS Write: 445 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 27 seconds 20 msec
OK
Time taken: 106.335 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация по URL.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20260@mturlrep13_201309111955_930446055.txt
hive> ;
hive> quit;
times: 1
query: SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_20919@mturlrep13_201309111955_1684376997.txt
hive> SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0372
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:55:24,288 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:55:31,317 Stage-1 map = 7%, reduce = 0%
2013-09-11 19:55:34,328 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:55:37,340 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:55:40,353 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:55:43,364 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:55:48,389 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:49,396 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:50,403 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:51,409 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:52,414 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:53,420 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:54,425 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 59.66 sec
2013-09-11 19:55:55,431 Stage-1 map = 57%, reduce = 4%, Cumulative CPU 59.66 sec
2013-09-11 19:55:56,436 Stage-1 map = 57%, reduce = 4%, Cumulative CPU 59.66 sec
2013-09-11 19:55:57,443 Stage-1 map = 57%, reduce = 4%, Cumulative CPU 59.66 sec
2013-09-11 19:55:58,448 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:55:59,454 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:00,459 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:01,464 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:02,470 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:03,475 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:04,479 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:05,484 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:06,489 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 59.66 sec
2013-09-11 19:56:07,494 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 111.58 sec
2013-09-11 19:56:08,499 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 116.3 sec
2013-09-11 19:56:09,503 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 116.3 sec
2013-09-11 19:56:10,509 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 123.6 sec
2013-09-11 19:56:11,514 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 123.6 sec
2013-09-11 19:56:12,518 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 123.6 sec
2013-09-11 19:56:13,523 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 123.6 sec
2013-09-11 19:56:14,529 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 123.6 sec
2013-09-11 19:56:15,534 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 123.6 sec
2013-09-11 19:56:16,538 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 123.6 sec
2013-09-11 19:56:18,600 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 123.6 sec
2013-09-11 19:56:19,605 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 123.6 sec
2013-09-11 19:56:20,610 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 123.6 sec
2013-09-11 19:56:21,616 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 123.6 sec
2013-09-11 19:56:22,621 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 123.6 sec
2013-09-11 19:56:23,627 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 123.6 sec
2013-09-11 19:56:24,633 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 123.6 sec
2013-09-11 19:56:25,638 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 123.6 sec
2013-09-11 19:56:26,644 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 123.6 sec
2013-09-11 19:56:27,649 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 123.6 sec
2013-09-11 19:56:28,655 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 123.6 sec
2013-09-11 19:56:29,661 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 123.6 sec
2013-09-11 19:56:30,666 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 123.6 sec
2013-09-11 19:56:31,672 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 123.6 sec
2013-09-11 19:56:32,677 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 123.6 sec
2013-09-11 19:56:33,683 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 123.6 sec
2013-09-11 19:56:34,692 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.4 sec
2013-09-11 19:56:35,701 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.4 sec
2013-09-11 19:56:36,706 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 169.4 sec
MapReduce Total cumulative CPU time: 2 minutes 49 seconds 400 msec
Ended Job = job_201309101627_0372
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0373
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:56:39,223 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:56:47,249 Stage-2 map = 25%, reduce = 0%
2013-09-11 19:56:50,259 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:51,263 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:52,268 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:53,273 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:54,278 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:55,283 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:56,288 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.04 sec
2013-09-11 19:56:57,293 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 14.04 sec
2013-09-11 19:56:58,297 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 14.04 sec
2013-09-11 19:56:59,302 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:00,306 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:01,310 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:02,315 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:03,320 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:04,324 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:05,328 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:06,333 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.58 sec
2013-09-11 19:57:07,343 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 44.0 sec
2013-09-11 19:57:08,348 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.0 sec
2013-09-11 19:57:09,352 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.0 sec
2013-09-11 19:57:10,357 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.0 sec
MapReduce Total cumulative CPU time: 46 seconds 0 msec
Ended Job = job_201309101627_0373
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 169.4 sec HDFS Read: 109451651 HDFS Write: 402873759 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 46.0 sec HDFS Read: 402889658 HDFS Write: 465 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 35 seconds 400 msec
OK
Time taken: 116.435 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24131@mturlrep13_201309111957_2140771388.txt
hive> ;
hive> quit;
times: 2
query: SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24572@mturlrep13_201309111957_461782804.txt
hive> SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0374
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:57:25,327 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:57:32,354 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:57:35,367 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:57:38,379 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:57:41,393 Stage-1 map = 36%, reduce = 0%
2013-09-11 19:57:44,406 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:57:47,423 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:48,429 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:49,437 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:50,443 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:51,449 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:52,455 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:53,460 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 57.83 sec
2013-09-11 19:57:54,466 Stage-1 map = 57%, reduce = 4%, Cumulative CPU 57.83 sec
2013-09-11 19:57:55,472 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 57.83 sec
2013-09-11 19:57:56,477 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 57.83 sec
2013-09-11 19:57:57,488 Stage-1 map = 73%, reduce = 13%, Cumulative CPU 57.83 sec
2013-09-11 19:57:58,494 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:57:59,500 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:00,505 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:01,511 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:02,516 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:03,522 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:04,528 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:05,534 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:06,539 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 57.83 sec
2013-09-11 19:58:07,545 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 117.68 sec
2013-09-11 19:58:08,550 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 117.68 sec
2013-09-11 19:58:09,555 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 120.18 sec
2013-09-11 19:58:10,561 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 120.18 sec
2013-09-11 19:58:11,569 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 120.18 sec
2013-09-11 19:58:12,577 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 120.18 sec
2013-09-11 19:58:13,582 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 120.18 sec
2013-09-11 19:58:14,587 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 120.18 sec
2013-09-11 19:58:15,593 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 120.18 sec
2013-09-11 19:58:17,436 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 120.18 sec
2013-09-11 19:58:18,441 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 120.18 sec
2013-09-11 19:58:20,040 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 120.18 sec
2013-09-11 19:58:21,044 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 120.18 sec
2013-09-11 19:58:22,050 Stage-1 map = 100%, reduce = 81%, Cumulative CPU 120.18 sec
2013-09-11 19:58:23,055 Stage-1 map = 100%, reduce = 81%, Cumulative CPU 120.18 sec
2013-09-11 19:58:24,060 Stage-1 map = 100%, reduce = 81%, Cumulative CPU 120.18 sec
2013-09-11 19:58:25,065 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 120.18 sec
2013-09-11 19:58:26,071 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 120.18 sec
2013-09-11 19:58:27,076 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 120.18 sec
2013-09-11 19:58:28,082 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 120.18 sec
2013-09-11 19:58:29,089 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 166.94 sec
2013-09-11 19:58:30,095 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 166.94 sec
MapReduce Total cumulative CPU time: 2 minutes 46 seconds 940 msec
Ended Job = job_201309101627_0374
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0375
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 19:58:32,596 Stage-2 map = 0%, reduce = 0%
2013-09-11 19:58:40,620 Stage-2 map = 25%, reduce = 0%
2013-09-11 19:58:43,629 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:44,634 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:45,638 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:47,175 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:48,180 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:49,185 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:50,189 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 14.59 sec
2013-09-11 19:58:51,194 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 14.59 sec
2013-09-11 19:58:52,199 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:53,203 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:54,208 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:55,213 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:56,217 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:57,222 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:58,227 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:58:59,232 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 39.13 sec
2013-09-11 19:59:00,237 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 39.13 sec
2013-09-11 19:59:01,242 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.59 sec
2013-09-11 19:59:02,248 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.59 sec
2013-09-11 19:59:03,253 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 46.59 sec
MapReduce Total cumulative CPU time: 46 seconds 590 msec
Ended Job = job_201309101627_0375
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 166.94 sec HDFS Read: 109451651 HDFS Write: 402873759 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 46.59 sec HDFS Read: 402889658 HDFS Write: 465 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 33 seconds 530 msec
OK
Time taken: 106.259 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27337@mturlrep13_201309111959_812215985.txt
hive> ;
hive> quit;
times: 3
query: SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27769@mturlrep13_201309111959_1007582094.txt
hive> SELECT 1, URL, count(*) AS c FROM hits_10m GROUP BY 1, URL ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0376
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 19:59:17,040 Stage-1 map = 0%, reduce = 0%
2013-09-11 19:59:25,072 Stage-1 map = 14%, reduce = 0%
2013-09-11 19:59:28,085 Stage-1 map = 22%, reduce = 0%
2013-09-11 19:59:31,097 Stage-1 map = 29%, reduce = 0%
2013-09-11 19:59:34,111 Stage-1 map = 43%, reduce = 0%
2013-09-11 19:59:39,135 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:40,142 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:41,150 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:42,156 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:43,161 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:44,167 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:45,174 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 55.82 sec
2013-09-11 19:59:46,180 Stage-1 map = 54%, reduce = 4%, Cumulative CPU 55.82 sec
2013-09-11 19:59:47,185 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 55.82 sec
2013-09-11 19:59:48,191 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 55.82 sec
2013-09-11 19:59:49,196 Stage-1 map = 65%, reduce = 13%, Cumulative CPU 55.82 sec
2013-09-11 19:59:50,202 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:51,208 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:52,214 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:53,219 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:54,225 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:55,230 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:56,246 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:57,252 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:58,257 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 55.82 sec
2013-09-11 19:59:59,263 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 81.61 sec
2013-09-11 20:00:00,269 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 81.61 sec
2013-09-11 20:00:01,274 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.62 sec
2013-09-11 20:00:02,280 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.62 sec
2013-09-11 20:00:03,287 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.62 sec
2013-09-11 20:00:04,292 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.62 sec
2013-09-11 20:00:05,298 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 109.62 sec
2013-09-11 20:00:06,303 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 109.62 sec
2013-09-11 20:00:08,494 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 129.4 sec
2013-09-11 20:00:09,500 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 129.4 sec
2013-09-11 20:00:10,505 Stage-1 map = 100%, reduce = 69%, Cumulative CPU 129.4 sec
2013-09-11 20:00:11,511 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 129.4 sec
2013-09-11 20:00:12,517 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 129.4 sec
2013-09-11 20:00:13,522 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 129.4 sec
2013-09-11 20:00:14,528 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 129.4 sec
2013-09-11 20:00:15,533 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 129.4 sec
2013-09-11 20:00:16,539 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 129.4 sec
2013-09-11 20:00:17,545 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 129.4 sec
2013-09-11 20:00:18,551 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 129.4 sec
2013-09-11 20:00:19,559 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 129.4 sec
2013-09-11 20:00:20,564 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 129.4 sec
2013-09-11 20:00:21,572 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 146.62 sec
2013-09-11 20:00:22,578 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 146.62 sec
2013-09-11 20:00:23,583 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 164.63 sec
2013-09-11 20:00:24,588 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 164.63 sec
MapReduce Total cumulative CPU time: 2 minutes 44 seconds 630 msec
Ended Job = job_201309101627_0376
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0377
Hadoop job information for Stage-2: number of mappers: 2; number of reducers: 1
2013-09-11 20:00:27,378 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:00:35,403 Stage-2 map = 25%, reduce = 0%
2013-09-11 20:00:38,414 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:39,419 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:40,424 Stage-2 map = 62%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:41,430 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:42,587 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:43,592 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:44,598 Stage-2 map = 88%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-11 20:00:45,602 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 13.92 sec
2013-09-11 20:00:46,607 Stage-2 map = 88%, reduce = 17%, Cumulative CPU 13.92 sec
2013-09-11 20:00:47,612 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:48,616 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:49,621 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:50,626 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:51,631 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:52,636 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:53,641 Stage-2 map = 100%, reduce = 17%, Cumulative CPU 38.24 sec
2013-09-11 20:00:54,646 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 38.24 sec
2013-09-11 20:00:55,651 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 38.24 sec
2013-09-11 20:00:56,656 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 45.8 sec
2013-09-11 20:00:57,662 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 45.8 sec
MapReduce Total cumulative CPU time: 45 seconds 800 msec
Ended Job = job_201309101627_0377
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 164.63 sec HDFS Read: 109451651 HDFS Write: 402873759 SUCCESS
Job 1: Map: 2 Reduce: 1 Cumulative CPU: 45.8 sec HDFS Read: 402889658 HDFS Write: 465 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 30 seconds 430 msec
OK
Time taken: 108.254 seconds, Fetched: 10 row(s)
hive> quit;
-- агрегация по URL и числу.;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31307@mturlrep13_201309112001_502707874.txt
hive> ;
hive> quit;
times: 1
query: SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_31761@mturlrep13_201309112001_1366550388.txt
hive> SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0378
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:01:22,869 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:01:29,898 Stage-1 map = 29%, reduce = 0%
2013-09-11 20:01:32,911 Stage-1 map = 43%, reduce = 0%
2013-09-11 20:01:33,921 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 15.13 sec
2013-09-11 20:01:34,929 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:35,937 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:36,944 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:37,951 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:38,957 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:39,962 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:40,968 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.89 sec
2013-09-11 20:01:41,974 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 29.89 sec
2013-09-11 20:01:42,980 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 29.89 sec
2013-09-11 20:01:43,986 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 29.89 sec
2013-09-11 20:01:44,992 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 29.89 sec
2013-09-11 20:01:45,998 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 60.94 sec
2013-09-11 20:01:47,004 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 60.94 sec
2013-09-11 20:01:48,009 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 60.94 sec
2013-09-11 20:01:49,015 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 60.94 sec
2013-09-11 20:01:50,020 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 60.94 sec
2013-09-11 20:01:51,026 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 60.94 sec
2013-09-11 20:01:52,032 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 60.94 sec
2013-09-11 20:01:53,040 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 62.99 sec
2013-09-11 20:01:54,046 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 62.99 sec
2013-09-11 20:01:55,052 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 62.99 sec
2013-09-11 20:01:56,066 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 62.99 sec
2013-09-11 20:01:57,072 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 62.99 sec
2013-09-11 20:01:58,078 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 62.99 sec
2013-09-11 20:01:59,084 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 73.53 sec
2013-09-11 20:02:00,090 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 73.53 sec
MapReduce Total cumulative CPU time: 1 minutes 13 seconds 530 msec
Ended Job = job_201309101627_0378
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0379
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:02:02,569 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:02:14,605 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:15,610 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:16,615 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:17,620 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:18,625 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:19,630 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:20,635 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.88 sec
2013-09-11 20:02:21,641 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.88 sec
2013-09-11 20:02:22,646 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.88 sec
2013-09-11 20:02:23,651 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.04 sec
2013-09-11 20:02:24,656 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.04 sec
2013-09-11 20:02:25,661 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 20.04 sec
MapReduce Total cumulative CPU time: 20 seconds 40 msec
Ended Job = job_201309101627_0379
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 73.53 sec HDFS Read: 31344843 HDFS Write: 51717050 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 20.04 sec HDFS Read: 51717819 HDFS Write: 490 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 33 seconds 570 msec
OK
Time taken: 72.762 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1702@mturlrep13_201309112002_1101587188.txt
hive> ;
hive> quit;
times: 2
query: SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_2174@mturlrep13_201309112002_314206404.txt
hive> SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0380
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:02:38,506 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:02:46,538 Stage-1 map = 32%, reduce = 0%
2013-09-11 20:02:49,550 Stage-1 map = 43%, reduce = 0%
2013-09-11 20:02:50,562 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:51,569 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:52,577 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:53,583 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:54,590 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:55,596 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:56,602 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 30.29 sec
2013-09-11 20:02:57,608 Stage-1 map = 68%, reduce = 8%, Cumulative CPU 30.29 sec
2013-09-11 20:02:58,613 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 30.29 sec
2013-09-11 20:02:59,618 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 30.29 sec
2013-09-11 20:03:00,623 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 30.29 sec
2013-09-11 20:03:01,628 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 61.31 sec
2013-09-11 20:03:02,633 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 61.31 sec
2013-09-11 20:03:03,638 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 61.31 sec
2013-09-11 20:03:04,644 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 61.31 sec
2013-09-11 20:03:05,649 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 61.31 sec
2013-09-11 20:03:06,654 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 61.31 sec
2013-09-11 20:03:07,661 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 63.28 sec
2013-09-11 20:03:08,669 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 64.61 sec
2013-09-11 20:03:09,675 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 64.61 sec
2013-09-11 20:03:10,680 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 64.61 sec
2013-09-11 20:03:11,685 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 64.61 sec
2013-09-11 20:03:12,691 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 64.61 sec
2013-09-11 20:03:13,696 Stage-1 map = 100%, reduce = 93%, Cumulative CPU 64.61 sec
2013-09-11 20:03:14,702 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 74.03 sec
2013-09-11 20:03:15,708 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 74.03 sec
2013-09-11 20:03:16,713 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 74.03 sec
MapReduce Total cumulative CPU time: 1 minutes 14 seconds 30 msec
Ended Job = job_201309101627_0380
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0381
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:03:20,309 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:03:31,341 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:32,346 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:33,351 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:34,355 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:35,361 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:36,365 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:37,370 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.54 sec
2013-09-11 20:03:38,375 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.54 sec
2013-09-11 20:03:39,380 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.54 sec
2013-09-11 20:03:40,385 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.84 sec
2013-09-11 20:03:41,392 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.84 sec
2013-09-11 20:03:42,397 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.84 sec
MapReduce Total cumulative CPU time: 19 seconds 840 msec
Ended Job = job_201309101627_0381
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 74.03 sec HDFS Read: 31344843 HDFS Write: 51717050 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 19.84 sec HDFS Read: 51717819 HDFS Write: 490 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 33 seconds 870 msec
OK
Time taken: 71.2 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4511@mturlrep13_201309112003_47105365.txt
hive> ;
hive> quit;
times: 3
query: SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5089@mturlrep13_201309112003_1512209035.txt
hive> SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, count(*) AS c FROM hits_10m GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0382
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:03:55,705 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:04:03,735 Stage-1 map = 29%, reduce = 0%
2013-09-11 20:04:06,747 Stage-1 map = 43%, reduce = 0%
2013-09-11 20:04:07,758 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:08,765 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:09,773 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:10,780 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:11,786 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:12,792 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:13,797 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:14,802 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 31.07 sec
2013-09-11 20:04:15,808 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 31.07 sec
2013-09-11 20:04:16,813 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 31.07 sec
2013-09-11 20:04:17,818 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 31.07 sec
2013-09-11 20:04:18,824 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 46.19 sec
2013-09-11 20:04:19,829 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.28 sec
2013-09-11 20:04:20,835 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.28 sec
2013-09-11 20:04:21,840 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.28 sec
2013-09-11 20:04:22,845 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.28 sec
2013-09-11 20:04:23,851 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 63.28 sec
2013-09-11 20:04:24,857 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 63.28 sec
2013-09-11 20:04:25,863 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 63.28 sec
2013-09-11 20:04:26,870 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.42 sec
2013-09-11 20:04:27,876 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.42 sec
2013-09-11 20:04:28,880 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.42 sec
2013-09-11 20:04:29,886 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.42 sec
2013-09-11 20:04:30,891 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 65.42 sec
2013-09-11 20:04:31,896 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 65.42 sec
2013-09-11 20:04:32,902 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 76.37 sec
2013-09-11 20:04:33,908 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 76.37 sec
MapReduce Total cumulative CPU time: 1 minutes 16 seconds 370 msec
Ended Job = job_201309101627_0382
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0383
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:04:36,402 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:04:48,438 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:49,443 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:50,448 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:51,452 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:52,456 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:53,461 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:54,466 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 15.09 sec
2013-09-11 20:04:55,471 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.09 sec
2013-09-11 20:04:56,476 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 15.09 sec
2013-09-11 20:04:57,481 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.29 sec
2013-09-11 20:04:58,486 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.29 sec
MapReduce Total cumulative CPU time: 19 seconds 290 msec
Ended Job = job_201309101627_0383
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 76.37 sec HDFS Read: 31344843 HDFS Write: 51717050 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 19.29 sec HDFS Read: 51717819 HDFS Write: 490 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 35 seconds 660 msec
OK
Time taken: 70.36 seconds, Fetched: 10 row(s)
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_7537@mturlrep13_201309112005_898269574.txt
hive> ;
hive> quit;
times: 1
query:
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8303@mturlrep13_201309112005_242909153.txt
hive> ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8520@mturlrep13_201309112005_740096707.txt
hive> ;
hive> quit;
times: 2
query:
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9324@mturlrep13_201309112005_1365009510.txt
hive> ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9538@mturlrep13_201309112005_81537852.txt
hive> ;
hive> quit;
times: 3
query:
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9966@mturlrep13_201309112005_1125410388.txt
hive> ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_10208@mturlrep13_201309112005_1554289038.txt
hive> ;
hive> quit;
times: 1
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_10658@mturlrep13_201309112005_874745706.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0384
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:05:43,792 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:05:50,819 Stage-1 map = 32%, reduce = 0%
2013-09-11 20:05:52,837 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:53,845 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:54,853 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:55,859 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:56,866 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:57,873 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:58,880 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.84 sec
2013-09-11 20:05:59,885 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 18.84 sec
2013-09-11 20:06:00,891 Stage-1 map = 89%, reduce = 17%, Cumulative CPU 27.75 sec
2013-09-11 20:06:01,896 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.3 sec
2013-09-11 20:06:02,902 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.3 sec
2013-09-11 20:06:03,907 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.3 sec
2013-09-11 20:06:04,913 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.3 sec
2013-09-11 20:06:05,920 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.53 sec
2013-09-11 20:06:06,926 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.53 sec
2013-09-11 20:06:07,932 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.53 sec
MapReduce Total cumulative CPU time: 41 seconds 530 msec
Ended Job = job_201309101627_0384
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0385
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:06:10,591 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:06:12,599 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:13,604 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:14,609 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:15,614 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:16,618 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:17,622 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:18,627 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:06:19,633 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.74 sec
2013-09-11 20:06:20,638 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.08 sec
2013-09-11 20:06:21,644 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.08 sec
MapReduce Total cumulative CPU time: 2 seconds 80 msec
Ended Job = job_201309101627_0385
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.53 sec HDFS Read: 118784021 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.08 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 610 msec
OK
Time taken: 47.898 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13025@mturlrep13_201309112006_366484138.txt
hive> ;
hive> quit;
times: 2
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_13471@mturlrep13_201309112006_1061969476.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0386
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:06:36,447 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:06:43,482 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 9.43 sec
2013-09-11 20:06:44,489 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:45,496 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:46,503 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:47,508 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:48,514 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:49,520 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:50,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.35 sec
2013-09-11 20:06:51,533 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:52,538 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:53,543 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:54,548 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:55,554 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:56,560 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.7 sec
2013-09-11 20:06:57,568 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.93 sec
2013-09-11 20:06:58,810 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.93 sec
MapReduce Total cumulative CPU time: 41 seconds 930 msec
Ended Job = job_201309101627_0386
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0387
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:07:01,348 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:07:03,357 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:04,362 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:05,367 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:06,371 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:07,376 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:08,381 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:09,387 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.71 sec
2013-09-11 20:07:10,392 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.71 sec
2013-09-11 20:07:11,397 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.1 sec
2013-09-11 20:07:12,402 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.1 sec
MapReduce Total cumulative CPU time: 2 seconds 100 msec
Ended Job = job_201309101627_0387
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.93 sec HDFS Read: 118784021 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.1 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 30 msec
OK
Time taken: 44.248 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_15787@mturlrep13_201309112007_1440494394.txt
hive> ;
hive> quit;
times: 3
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_16251@mturlrep13_201309112007_1706863363.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND URL != '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0388
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:07:26,087 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:07:34,130 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 9.01 sec
2013-09-11 20:07:35,137 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:36,145 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:37,152 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:38,158 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:39,165 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:40,172 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:41,179 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.94 sec
2013-09-11 20:07:42,185 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.34 sec
2013-09-11 20:07:43,190 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.34 sec
2013-09-11 20:07:44,195 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.34 sec
2013-09-11 20:07:45,201 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.34 sec
2013-09-11 20:07:46,206 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.34 sec
2013-09-11 20:07:47,214 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 39.41 sec
2013-09-11 20:07:48,220 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.49 sec
2013-09-11 20:07:49,226 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.49 sec
MapReduce Total cumulative CPU time: 41 seconds 490 msec
Ended Job = job_201309101627_0388
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0389
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:07:51,717 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:07:53,726 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:54,731 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:55,737 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:56,742 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:57,747 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:58,752 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:07:59,757 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-11 20:08:00,763 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.91 sec
2013-09-11 20:08:01,768 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.27 sec
2013-09-11 20:08:02,774 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.27 sec
2013-09-11 20:08:03,780 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.27 sec
MapReduce Total cumulative CPU time: 2 seconds 270 msec
Ended Job = job_201309101627_0389
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.49 sec HDFS Read: 118784021 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.27 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 760 msec
OK
Time taken: 45.022 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_18797@mturlrep13_201309112008_775683828.txt
hive> ;
hive> quit;
times: 1
query: SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_19297@mturlrep13_201309112008_761964500.txt
hive> SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0390
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:08:25,097 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:08:32,126 Stage-1 map = 36%, reduce = 0%
2013-09-11 20:08:34,143 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:35,151 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:36,159 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:37,166 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:38,172 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:39,181 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:40,191 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.7 sec
2013-09-11 20:08:41,197 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 18.7 sec
2013-09-11 20:08:42,203 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 27.69 sec
2013-09-11 20:08:43,208 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.14 sec
2013-09-11 20:08:44,214 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.14 sec
2013-09-11 20:08:45,219 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.14 sec
2013-09-11 20:08:46,227 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.14 sec
2013-09-11 20:08:47,235 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.23 sec
2013-09-11 20:08:48,242 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.23 sec
2013-09-11 20:08:49,248 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.23 sec
MapReduce Total cumulative CPU time: 41 seconds 230 msec
Ended Job = job_201309101627_0390
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0391
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:08:51,794 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:08:53,820 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:54,826 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:55,832 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:56,836 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:57,842 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:58,848 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:08:59,853 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.72 sec
2013-09-11 20:09:00,858 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.72 sec
2013-09-11 20:09:01,864 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.02 sec
2013-09-11 20:09:02,870 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.02 sec
MapReduce Total cumulative CPU time: 2 seconds 20 msec
Ended Job = job_201309101627_0391
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.23 sec HDFS Read: 115339269 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.02 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 250 msec
OK
Time taken: 47.69 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21543@mturlrep13_201309112009_592955581.txt
hive> ;
hive> quit;
times: 2
query: SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_21971@mturlrep13_201309112009_2025172247.txt
hive> SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0392
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:09:16,753 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:09:23,786 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 9.28 sec
2013-09-11 20:09:24,794 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:25,802 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:26,809 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:27,816 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:28,823 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:29,829 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:30,835 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.17 sec
2013-09-11 20:09:31,842 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:32,847 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:33,853 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:34,858 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:35,864 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:36,870 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.06 sec
2013-09-11 20:09:37,877 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.27 sec
2013-09-11 20:09:38,884 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.27 sec
MapReduce Total cumulative CPU time: 41 seconds 270 msec
Ended Job = job_201309101627_0392
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0393
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:09:42,378 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:09:43,384 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:44,390 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:45,395 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:46,400 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:47,405 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:48,410 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:49,415 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:50,420 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.83 sec
2013-09-11 20:09:51,426 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 20:09:52,432 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 20:09:53,437 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
MapReduce Total cumulative CPU time: 2 seconds 200 msec
Ended Job = job_201309101627_0393
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.27 sec HDFS Read: 115339269 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.2 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 470 msec
OK
Time taken: 44.993 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24204@mturlrep13_201309112009_1407745219.txt
hive> ;
hive> quit;
times: 3
query: SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_24634@mturlrep13_201309112009_1617977624.txt
hive> SELECT Title, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT DontCountHits != 0 AND NOT Refresh != 0 AND Title != '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0394
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:10:07,429 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:10:14,464 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 9.2 sec
2013-09-11 20:10:15,472 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:16,480 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:17,486 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:18,492 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:19,499 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:20,505 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:21,511 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.91 sec
2013-09-11 20:10:22,517 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:23,523 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:24,528 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:25,533 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:26,539 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:27,544 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-11 20:10:28,552 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.33 sec
2013-09-11 20:10:29,557 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.33 sec
MapReduce Total cumulative CPU time: 41 seconds 330 msec
Ended Job = job_201309101627_0394
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0395
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:10:33,096 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:10:34,102 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:35,108 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:36,113 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:37,118 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:38,123 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:39,127 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:40,132 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:41,137 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.69 sec
2013-09-11 20:10:42,143 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.09 sec
2013-09-11 20:10:43,148 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.09 sec
2013-09-11 20:10:44,154 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.09 sec
MapReduce Total cumulative CPU time: 2 seconds 90 msec
Ended Job = job_201309101627_0395
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.33 sec HDFS Read: 115339269 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.09 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 420 msec
OK
Time taken: 45.13 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_27651@mturlrep13_201309112010_413283612.txt
hive> ;
hive> quit;
times: 1
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_28105@mturlrep13_201309112010_1811330810.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0396
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:11:08,317 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:11:15,347 Stage-1 map = 32%, reduce = 0%
2013-09-11 20:11:17,363 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:18,371 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:19,380 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:20,386 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:21,393 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:22,399 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:23,406 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.33 sec
2013-09-11 20:11:24,413 Stage-1 map = 68%, reduce = 8%, Cumulative CPU 19.33 sec
2013-09-11 20:11:25,420 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 19.33 sec
2013-09-11 20:11:26,427 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 20:11:27,432 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 20:11:28,438 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 20:11:29,443 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.65 sec
2013-09-11 20:11:30,451 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.61 sec
2013-09-11 20:11:31,458 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.61 sec
2013-09-11 20:11:32,464 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.61 sec
MapReduce Total cumulative CPU time: 41 seconds 610 msec
Ended Job = job_201309101627_0396
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0397
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:11:34,967 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:11:36,976 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:37,981 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:38,986 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:39,990 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:40,995 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:42,000 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:43,038 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.77 sec
2013-09-11 20:11:44,044 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.77 sec
2013-09-11 20:11:45,050 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
2013-09-11 20:11:46,056 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
2013-09-11 20:11:47,062 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.18 sec
MapReduce Total cumulative CPU time: 2 seconds 180 msec
Ended Job = job_201309101627_0397
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.61 sec HDFS Read: 118662691 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.18 sec HDFS Read: 959 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 790 msec
OK
Time taken: 48.915 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30480@mturlrep13_201309112011_933995601.txt
hive> ;
hive> quit;
times: 2
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_30907@mturlrep13_201309112011_251050369.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0398
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:12:01,259 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:12:08,296 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:09,304 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:10,313 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:11,320 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:12,326 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:13,333 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:14,339 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:15,346 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.56 sec
2013-09-11 20:12:16,352 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:17,358 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:18,363 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:19,368 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:20,373 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:21,379 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.26 sec
2013-09-11 20:12:22,387 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.33 sec
2013-09-11 20:12:23,393 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.33 sec
MapReduce Total cumulative CPU time: 40 seconds 330 msec
Ended Job = job_201309101627_0398
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0399
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:12:26,898 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:12:27,903 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:28,909 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:29,915 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:30,920 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:31,925 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:32,929 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:33,934 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:34,939 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:12:35,944 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.25 sec
2013-09-11 20:12:36,950 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.25 sec
2013-09-11 20:12:37,956 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.25 sec
MapReduce Total cumulative CPU time: 2 seconds 250 msec
Ended Job = job_201309101627_0399
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 40.33 sec HDFS Read: 118662691 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.25 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 580 msec
OK
Time taken: 45.122 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_782@mturlrep13_201309112012_979888029.txt
hive> ;
hive> quit;
times: 3
query: SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_1252@mturlrep13_201309112012_1568189503.txt
hive> SELECT URL, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND IsLink != 0 AND NOT IsDownload != 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0400
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:12:51,075 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:12:59,115 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 9.84 sec
2013-09-11 20:13:00,123 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:01,130 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:02,136 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:03,142 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:04,149 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:05,156 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:06,163 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.99 sec
2013-09-11 20:13:07,169 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 28.64 sec
2013-09-11 20:13:08,176 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 20:13:09,181 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 20:13:10,188 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 20:13:11,193 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.72 sec
2013-09-11 20:13:12,201 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 41.17 sec
2013-09-11 20:13:13,208 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.56 sec
2013-09-11 20:13:14,214 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.56 sec
MapReduce Total cumulative CPU time: 42 seconds 560 msec
Ended Job = job_201309101627_0400
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0401
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:13:16,674 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:13:18,684 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:19,689 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:20,695 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:21,700 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:22,705 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:23,711 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:24,716 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.8 sec
2013-09-11 20:13:25,721 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.8 sec
2013-09-11 20:13:26,727 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 20:13:27,734 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
2013-09-11 20:13:28,740 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.2 sec
MapReduce Total cumulative CPU time: 2 seconds 200 msec
Ended Job = job_201309101627_0401
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 42.56 sec HDFS Read: 118662691 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.2 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 760 msec
OK
Time taken: 44.996 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_3657@mturlrep13_201309112013_152749800.txt
hive> ;
hive> quit;
times: 1
query: SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4123@mturlrep13_201309112013_250715100.txt
hive> SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000; ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4384@mturlrep13_201309112013_11229958.txt
hive> ;
hive> quit;
times: 2
query: SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_4967@mturlrep13_201309112013_1609437791.txt
hive> SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000; ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5327@mturlrep13_201309112013_984749990.txt
hive> ;
hive> quit;
times: 3
query: SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_5791@mturlrep13_201309112014_528239556.txt
hive> SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN SearchEngineID = 0 AND AdvEngineID = 0 THEN Referer ELSE '' END AS Src, URL AS Dst, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000; ;
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6065@mturlrep13_201309112014_1043898379.txt
hive> ;
hive> quit;
times: 1
query: SELECT URLHash, EventDate, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 6202628419148573758 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_6531@mturlrep13_201309112014_1491442849.txt
hive> SELECT URLHash, EventDate, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 6202628419148573758 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100000; ;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0402
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:14:25,167 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:14:32,197 Stage-1 map = 36%, reduce = 0%
2013-09-11 20:14:33,208 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:34,216 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:35,224 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:36,231 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:37,237 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:38,243 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:39,250 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:40,257 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.37 sec
2013-09-11 20:14:41,263 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 19.37 sec
2013-09-11 20:14:42,271 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.01 sec
2013-09-11 20:14:43,276 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.01 sec
2013-09-11 20:14:44,282 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.01 sec
2013-09-11 20:14:45,287 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.01 sec
2013-09-11 20:14:46,293 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.01 sec
2013-09-11 20:14:47,301 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.21 sec
2013-09-11 20:14:48,308 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.21 sec
MapReduce Total cumulative CPU time: 42 seconds 210 msec
Ended Job = job_201309101627_0402
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0403
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:14:50,774 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:14:52,782 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:53,788 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:54,792 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:55,797 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:56,802 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:57,807 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:58,813 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-11 20:14:59,819 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.75 sec
2013-09-11 20:15:00,824 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
2013-09-11 20:15:01,831 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
MapReduce Total cumulative CPU time: 2 seconds 130 msec
Ended Job = job_201309101627_0403
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 42.21 sec HDFS Read: 148406904 HDFS Write: 192 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.13 sec HDFS Read: 961 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 340 msec
OK
Time taken: 46.841 seconds
hive> quit;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8933@mturlrep13_201309112015_1862976498.txt
hive> ;
hive> quit;
times: 2
query: SELECT URLHash, EventDate, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 6202628419148573758 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100000;
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_9402@mturlrep13_201309112015_389918397.txt
hive> SELECT URLHash, EventDate, count(*) AS PageViews FROM hits_10m WHERE CounterID = 34 AND EventDate >= TIMESTAMP('2013-07-01') AND EventDate <= TIMESTAMP('2013-07-31') AND NOT Refresh != 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 6202628419148573758 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100000; ;
Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks not specified. Estimated from input data size: 2
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0404
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-11 20:15:15,126 Stage-1 map = 0%, reduce = 0%
2013-09-11 20:15:23,165 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:24,174 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:25,181 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:26,188 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:27,195 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:28,201 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:29,208 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.36 sec
2013-09-11 20:15:30,214 Stage-1 map = 97%, reduce = 8%, Cumulative CPU 26.7 sec
2013-09-11 20:15:31,220 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.89 sec
2013-09-11 20:15:32,226 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.89 sec
2013-09-11 20:15:33,231 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.89 sec
2013-09-11 20:15:34,237 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.89 sec
2013-09-11 20:15:35,243 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.89 sec
2013-09-11 20:15:36,251 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.1 sec
2013-09-11 20:15:37,257 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.1 sec
2013-09-11 20:15:38,263 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.1 sec
MapReduce Total cumulative CPU time: 40 seconds 100 msec
Ended Job = job_201309101627_0404
Launching Job 2 out of 2
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Kill Command = /usr/libexec/../bin/hadoop job -kill job_201309101627_0405
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-11 20:15:40,779 Stage-2 map = 0%, reduce = 0%
2013-09-11 20:15:42,789 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-11 20:15:43,794 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
Reference in New Issue View Git Blame Copy Permalink