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06c3dd69c0
ClickHouse/benchmark/hive/log/log_10m/log_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

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start time: Вт. сент. 10 19:59:13 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_30031@mturlrep13_201309101959_1531819947.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_30467@mturlrep13_201309101959_742405451.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_0102
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 19:59:33,010 Stage-1 map = 0%, reduce = 0%
2013-09-10 19:59:40,041 Stage-1 map = 7%, reduce = 0%
2013-09-10 19:59:46,067 Stage-1 map = 14%, reduce = 0%
2013-09-10 19:59:49,084 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:50,090 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:51,096 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:52,102 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:53,107 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:54,112 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:55,145 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:56,150 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:57,155 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:58,160 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 19:59:59,165 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 20:00:00,170 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 45.21 sec
2013-09-10 20:00:01,177 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:02,183 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:03,189 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:04,194 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:05,221 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:06,226 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:07,231 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 70.99 sec
2013-09-10 20:00:08,237 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:09,242 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:10,247 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:11,253 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:12,258 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:13,264 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:14,269 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:15,303 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:16,308 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:17,313 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:18,317 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:19,322 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:20,327 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:21,332 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:22,337 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:23,342 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:24,347 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:25,353 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:26,358 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 70.99 sec
2013-09-10 20:00:27,362 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 107.19 sec
2013-09-10 20:00:28,367 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 107.19 sec
2013-09-10 20:00:29,371 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.24 sec
2013-09-10 20:00:30,376 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.24 sec
2013-09-10 20:00:31,380 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.24 sec
2013-09-10 20:00:32,385 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.24 sec
2013-09-10 20:00:33,390 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.24 sec
2013-09-10 20:00:34,397 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.71 sec
2013-09-10 20:00:35,402 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.71 sec
MapReduce Total cumulative CPU time: 2 minutes 27 seconds 710 msec
Ended Job = job_201309101627_0102
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 147.71 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 27 seconds 710 msec
OK
10000000
Time taken: 72.111 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_32544@mturlrep13_201309102000_1646880380.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_518@mturlrep13_201309102000_754325810.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_0103
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:00:48,452 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:00:56,488 Stage-1 map = 7%, reduce = 0%
2013-09-10 20:00:59,500 Stage-1 map = 14%, reduce = 0%
2013-09-10 20:01:05,526 Stage-1 map = 22%, reduce = 0%
2013-09-10 20:01:08,538 Stage-1 map = 29%, reduce = 0%
2013-09-10 20:01:11,550 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:01:14,561 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:01:16,575 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:17,582 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:18,587 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:19,593 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:20,598 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:21,603 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:22,608 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:23,613 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 80.56 sec
2013-09-10 20:01:24,619 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:25,624 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:26,629 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:27,634 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:28,639 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:29,645 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:30,650 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:31,654 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:32,659 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:33,665 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:34,670 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:35,675 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:36,680 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:37,685 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:38,690 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:39,695 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 80.56 sec
2013-09-10 20:01:40,700 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 110.63 sec
2013-09-10 20:01:41,705 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 110.63 sec
2013-09-10 20:01:42,710 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 110.63 sec
2013-09-10 20:01:43,715 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.16 sec
2013-09-10 20:01:44,719 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.16 sec
2013-09-10 20:01:45,723 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.16 sec
2013-09-10 20:01:46,727 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.16 sec
2013-09-10 20:01:47,732 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 145.16 sec
2013-09-10 20:01:48,737 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 145.16 sec
2013-09-10 20:01:49,744 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.56 sec
2013-09-10 20:01:50,761 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.56 sec
2013-09-10 20:01:51,766 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.56 sec
MapReduce Total cumulative CPU time: 2 minutes 27 seconds 560 msec
Ended Job = job_201309101627_0103
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 147.56 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 27 seconds 560 msec
OK
10000000
Time taken: 70.619 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_2229@mturlrep13_201309102001_150357587.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_2633@mturlrep13_201309102001_764470607.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_0104
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:02:04,867 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:02:12,918 Stage-1 map = 7%, reduce = 0%
2013-09-10 20:02:15,932 Stage-1 map = 14%, reduce = 0%
2013-09-10 20:02:21,957 Stage-1 map = 22%, reduce = 0%
2013-09-10 20:02:24,969 Stage-1 map = 29%, reduce = 0%
2013-09-10 20:02:27,981 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:02:30,995 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:02:32,005 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 34.44 sec
2013-09-10 20:02:33,013 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:34,019 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:35,032 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:36,044 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:37,049 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:38,055 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:39,060 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 76.6 sec
2013-09-10 20:02:40,065 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:41,071 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:42,076 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:43,082 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:44,087 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:45,092 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:46,112 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:47,116 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:48,131 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:49,136 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 76.6 sec
2013-09-10 20:02:50,142 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:51,147 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:52,151 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:53,156 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:54,161 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:55,167 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:56,195 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:57,200 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 122.35 sec
2013-09-10 20:02:58,205 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 137.05 sec
2013-09-10 20:02:59,210 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 137.05 sec
2013-09-10 20:03:00,215 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 149.43 sec
2013-09-10 20:03:01,220 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 149.43 sec
2013-09-10 20:03:02,224 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 149.43 sec
2013-09-10 20:03:03,228 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 149.43 sec
2013-09-10 20:03:04,232 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 149.43 sec
2013-09-10 20:03:05,239 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 151.13 sec
2013-09-10 20:03:06,246 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 151.13 sec
2013-09-10 20:03:07,252 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 151.13 sec
MapReduce Total cumulative CPU time: 2 minutes 31 seconds 130 msec
Ended Job = job_201309101627_0104
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 151.13 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 31 seconds 130 msec
OK
10000000
Time taken: 69.712 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_4005@mturlrep13_201309102003_1205264534.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_4453@mturlrep13_201309102003_994011847.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_0105
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:03:27,324 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:03:32,353 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.26 sec
2013-09-10 20:03:33,361 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.26 sec
2013-09-10 20:03:34,368 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.26 sec
2013-09-10 20:03:35,374 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.26 sec
2013-09-10 20:03:36,380 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.26 sec
2013-09-10 20:03:37,386 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 17.88 sec
2013-09-10 20:03:38,392 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.98 sec
2013-09-10 20:03:39,398 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.98 sec
2013-09-10 20:03:40,407 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.98 sec
2013-09-10 20:03:41,413 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.98 sec
2013-09-10 20:03:42,420 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.98 sec
MapReduce Total cumulative CPU time: 25 seconds 980 msec
Ended Job = job_201309101627_0105
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.98 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 980 msec
OK
171127
Time taken: 24.908 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_5972@mturlrep13_201309102003_1892761219.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_6381@mturlrep13_201309102003_2036843139.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_0106
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:03:55,419 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:04:00,446 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.18 sec
2013-09-10 20:04:01,454 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.18 sec
2013-09-10 20:04:02,462 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.18 sec
2013-09-10 20:04:03,469 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.18 sec
2013-09-10 20:04:04,475 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.18 sec
2013-09-10 20:04:05,481 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-10 20:04:06,487 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-10 20:04:07,493 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.79 sec
2013-09-10 20:04:08,501 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.71 sec
2013-09-10 20:04:09,508 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.71 sec
2013-09-10 20:04:10,515 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.71 sec
MapReduce Total cumulative CPU time: 25 seconds 710 msec
Ended Job = job_201309101627_0106
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.71 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 710 msec
OK
171127
Time taken: 22.567 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_7629@mturlrep13_201309102004_1501464055.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_8043@mturlrep13_201309102004_2101165091.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_0107
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:04:23,561 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:04:28,586 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.66 sec
2013-09-10 20:04:29,594 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.66 sec
2013-09-10 20:04:30,602 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.66 sec
2013-09-10 20:04:31,608 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.66 sec
2013-09-10 20:04:32,613 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.66 sec
2013-09-10 20:04:33,618 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.37 sec
2013-09-10 20:04:34,623 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.37 sec
2013-09-10 20:04:35,628 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.37 sec
2013-09-10 20:04:36,635 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.28 sec
2013-09-10 20:04:37,641 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.28 sec
2013-09-10 20:04:38,648 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.28 sec
MapReduce Total cumulative CPU time: 25 seconds 280 msec
Ended Job = job_201309101627_0107
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.28 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 280 msec
OK
171127
Time taken: 22.452 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_9266@mturlrep13_201309102004_1013038557.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_9693@mturlrep13_201309102004_1030085538.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_0108
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:04:59,466 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:05:06,500 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:07,507 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:08,515 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:09,520 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:10,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:11,531 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:12,538 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.22 sec
2013-09-10 20:05:13,544 Stage-1 map = 97%, reduce = 0%, Cumulative CPU 23.47 sec
2013-09-10 20:05:14,550 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.35 sec
2013-09-10 20:05:15,554 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.35 sec
2013-09-10 20:05:16,559 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.35 sec
2013-09-10 20:05:17,564 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.35 sec
2013-09-10 20:05:18,569 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 31.35 sec
2013-09-10 20:05:19,576 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
2013-09-10 20:05:20,581 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
2013-09-10 20:05:21,587 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.46 sec
MapReduce Total cumulative CPU time: 33 seconds 460 msec
Ended Job = job_201309101627_0108
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: 32.261 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_11697@mturlrep13_201309102005_1481049011.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_12122@mturlrep13_201309102005_1165569106.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_0109
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:05:35,519 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:05:41,547 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:42,554 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:43,560 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:44,565 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:45,570 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:46,575 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:47,581 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.67 sec
2013-09-10 20:05:48,586 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.39 sec
2013-09-10 20:05:49,591 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.39 sec
2013-09-10 20:05:50,597 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.98 sec
2013-09-10 20:05:51,602 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.98 sec
2013-09-10 20:05:52,607 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.98 sec
2013-09-10 20:05:53,611 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 32.98 sec
2013-09-10 20:05:54,618 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.53 sec
2013-09-10 20:05:55,624 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.53 sec
2013-09-10 20:05:56,629 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.53 sec
MapReduce Total cumulative CPU time: 34 seconds 530 msec
Ended Job = job_201309101627_0109
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 34.53 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 34 seconds 530 msec
OK
Time taken: 29.475 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_13449@mturlrep13_201309102005_1900832859.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_13873@mturlrep13_201309102006_801912719.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_0110
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:06:10,558 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:06:16,584 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:17,590 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:18,599 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:19,606 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:20,611 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:21,616 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:22,622 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.41 sec
2013-09-10 20:06:23,627 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 32.36 sec
2013-09-10 20:06:24,632 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:25,638 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:26,643 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:27,648 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:28,653 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:29,657 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 32.36 sec
2013-09-10 20:06:30,664 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.45 sec
2013-09-10 20:06:31,670 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.45 sec
MapReduce Total cumulative CPU time: 34 seconds 450 msec
Ended Job = job_201309101627_0110
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 34.45 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 34 seconds 450 msec
OK
Time taken: 29.445 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_15232@mturlrep13_201309102006_1831985638.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_15654@mturlrep13_201309102006_663118057.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_0111
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:06:52,411 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:06:59,445 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:00,452 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:01,459 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:02,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:03,470 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:04,476 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.89 sec
2013-09-10 20:07:05,481 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 21.89 sec
2013-09-10 20:07:06,487 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:07,492 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:08,497 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:09,502 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:10,506 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:11,511 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 29.59 sec
2013-09-10 20:07:12,518 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.64 sec
2013-09-10 20:07:13,524 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.64 sec
MapReduce Total cumulative CPU time: 31 seconds 640 msec
Ended Job = job_201309101627_0111
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 31.64 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 31 seconds 640 msec
OK
-4662894107982093709
Time taken: 30.886 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_16961@mturlrep13_201309102007_560489574.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_17378@mturlrep13_201309102007_948891522.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_0112
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:07:27,959 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:07:33,989 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:34,997 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:36,004 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:37,010 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:38,016 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:39,022 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 16.72 sec
2013-09-10 20:07:40,028 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 31.86 sec
2013-09-10 20:07:41,032 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:42,038 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:43,043 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:44,049 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:45,054 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:46,059 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 31.86 sec
2013-09-10 20:07:47,066 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.75 sec
2013-09-10 20:07:48,071 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 33.75 sec
MapReduce Total cumulative CPU time: 33 seconds 750 msec
Ended Job = job_201309101627_0112
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 33.75 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 750 msec
OK
-4662894107982093709
Time taken: 28.62 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_18627@mturlrep13_201309102007_1570970698.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_19048@mturlrep13_201309102007_265385188.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_0113
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:08:01,232 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:08:07,261 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 7.12 sec
2013-09-10 20:08:08,269 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.41 sec
2013-09-10 20:08:09,277 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.41 sec
2013-09-10 20:08:10,282 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.41 sec
2013-09-10 20:08:11,288 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.41 sec
2013-09-10 20:08:12,294 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.41 sec
2013-09-10 20:08:13,300 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 21.76 sec
2013-09-10 20:08:14,304 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 29.62 sec
2013-09-10 20:08:15,309 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:16,315 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:17,320 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:18,325 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:19,329 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:20,334 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 29.62 sec
2013-09-10 20:08:21,341 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.69 sec
2013-09-10 20:08:22,347 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.69 sec
MapReduce Total cumulative CPU time: 31 seconds 690 msec
Ended Job = job_201309101627_0113
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 31.69 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 31 seconds 690 msec
OK
-4662894107982093709
Time taken: 28.461 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_20298@mturlrep13_201309102008_320778143.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_20705@mturlrep13_201309102008_862349350.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_0114
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:08:42,650 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:08:49,678 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:08:52,698 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:53,705 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:54,712 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:55,718 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:56,723 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:57,729 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:58,734 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:08:59,739 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.9 sec
2013-09-10 20:09:00,744 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.9 sec
2013-09-10 20:09:01,749 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.9 sec
2013-09-10 20:09:02,754 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:03,758 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:04,763 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:05,768 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:06,774 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:07,779 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:08,784 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.85 sec
2013-09-10 20:09:09,790 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 54.85 sec
2013-09-10 20:09:10,797 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.65 sec
2013-09-10 20:09:11,802 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.65 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 650 msec
Ended Job = job_201309101627_0114
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 62.65 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 2 seconds 650 msec
OK
2037258
Time taken: 39.152 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_22014@mturlrep13_201309102009_2085887753.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_22418@mturlrep13_201309102009_1216544523.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_0115
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:09:25,056 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:09:33,088 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:09:35,102 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:36,108 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:37,115 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:38,121 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:39,127 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:40,134 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:41,140 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:42,150 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.41 sec
2013-09-10 20:09:43,155 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.41 sec
2013-09-10 20:09:44,160 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.41 sec
2013-09-10 20:09:45,165 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.74 sec
2013-09-10 20:09:46,171 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.74 sec
2013-09-10 20:09:47,176 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.74 sec
2013-09-10 20:09:48,182 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.74 sec
2013-09-10 20:09:49,187 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.74 sec
2013-09-10 20:09:50,193 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.57 sec
2013-09-10 20:09:51,198 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.57 sec
2013-09-10 20:09:52,205 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.64 sec
2013-09-10 20:09:53,211 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.64 sec
2013-09-10 20:09:54,217 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.64 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 640 msec
Ended Job = job_201309101627_0115
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 63.64 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 3 seconds 640 msec
OK
2037258
Time taken: 36.46 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_23691@mturlrep13_201309102009_809944135.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_24111@mturlrep13_201309102009_812926126.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_0116
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:10:08,163 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:10:15,213 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:10:17,227 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:18,233 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:19,240 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:20,246 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:21,252 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:22,258 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:23,265 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:24,270 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.08 sec
2013-09-10 20:10:25,275 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.08 sec
2013-09-10 20:10:26,280 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 39.75 sec
2013-09-10 20:10:27,285 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:28,290 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:29,295 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:30,300 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:31,305 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:32,311 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:33,315 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.02 sec
2013-09-10 20:10:34,321 Stage-1 map = 100%, reduce = 89%, Cumulative CPU 54.02 sec
2013-09-10 20:10:35,327 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 61.73 sec
2013-09-10 20:10:36,333 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 61.73 sec
MapReduce Total cumulative CPU time: 1 minutes 1 seconds 730 msec
Ended Job = job_201309101627_0116
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 61.73 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 1 seconds 730 msec
OK
2037258
Time taken: 36.551 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_26095@mturlrep13_201309102010_1548501792.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_26522@mturlrep13_201309102010_1522319778.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_0117
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:10:57,776 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:11:04,804 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:11:05,815 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:06,821 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:07,829 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:08,835 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:09,840 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:10,848 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:11,854 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:12,861 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.53 sec
2013-09-10 20:11:13,866 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 21.53 sec
2013-09-10 20:11:14,871 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:15,876 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:16,880 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:17,885 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:18,890 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:19,895 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:20,899 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:21,904 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.24 sec
2013-09-10 20:11:22,909 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 42.24 sec
2013-09-10 20:11:23,916 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.0 sec
2013-09-10 20:11:24,922 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.0 sec
MapReduce Total cumulative CPU time: 50 seconds 0 msec
Ended Job = job_201309101627_0117
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 50.0 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 50 seconds 0 msec
OK
1110413
Time taken: 36.986 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_27838@mturlrep13_201309102011_1558608875.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_28243@mturlrep13_201309102011_1322698871.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_0118
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:11:37,820 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:11:45,856 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:11:46,868 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:47,874 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:48,881 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:49,887 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:50,893 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:51,899 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:52,906 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.55 sec
2013-09-10 20:11:53,911 Stage-1 map = 72%, reduce = 17%, Cumulative CPU 22.55 sec
2013-09-10 20:11:54,917 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 32.95 sec
2013-09-10 20:11:55,922 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:11:56,926 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:11:57,931 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:11:58,936 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:11:59,941 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:00,946 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:01,962 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:02,967 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 44.61 sec
2013-09-10 20:12:03,975 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.41 sec
2013-09-10 20:12:04,981 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.41 sec
MapReduce Total cumulative CPU time: 52 seconds 410 msec
Ended Job = job_201309101627_0118
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: 34.466 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_29534@mturlrep13_201309102012_702635740.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_29941@mturlrep13_201309102012_2027998571.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_0119
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:12:17,991 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:12:26,021 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:12:27,031 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:28,038 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:29,045 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:30,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:31,057 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:32,063 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:33,070 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.05 sec
2013-09-10 20:12:34,076 Stage-1 map = 72%, reduce = 17%, Cumulative CPU 22.05 sec
2013-09-10 20:12:35,081 Stage-1 map = 99%, reduce = 17%, Cumulative CPU 33.57 sec
2013-09-10 20:12:36,086 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:37,091 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:38,096 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:39,101 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:40,107 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:41,112 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:42,117 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 44.61 sec
2013-09-10 20:12:43,122 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 44.61 sec
2013-09-10 20:12:44,130 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.1 sec
2013-09-10 20:12:45,135 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.1 sec
MapReduce Total cumulative CPU time: 52 seconds 100 msec
Ended Job = job_201309101627_0119
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 52.1 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 52 seconds 100 msec
OK
1110413
Time taken: 34.424 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_31270@mturlrep13_201309102012_1959011426.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_31694@mturlrep13_201309102012_1837865750.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_0120
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:13:04,874 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:13:10,902 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:11,910 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:12,917 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:13,923 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:14,928 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:15,934 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.53 sec
2013-09-10 20:13:16,939 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 21.15 sec
2013-09-10 20:13:17,945 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 28.11 sec
2013-09-10 20:13:18,950 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:19,956 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:20,961 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:21,965 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:22,970 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:23,975 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 28.11 sec
2013-09-10 20:13:24,982 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.21 sec
2013-09-10 20:13:25,988 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.21 sec
MapReduce Total cumulative CPU time: 30 seconds 210 msec
Ended Job = job_201309101627_0120
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 30.21 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 30 seconds 210 msec
OK
Time taken: 31.036 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_484@mturlrep13_201309102013_979592639.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_912@mturlrep13_201309102013_1524044255.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_0121
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:13:40,111 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:13:45,139 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.05 sec
2013-09-10 20:13:46,146 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.05 sec
2013-09-10 20:13:47,154 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.05 sec
2013-09-10 20:13:48,159 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.05 sec
2013-09-10 20:13:49,165 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.05 sec
2013-09-10 20:13:50,171 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 19.88 sec
2013-09-10 20:13:51,176 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.39 sec
2013-09-10 20:13:52,181 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 26.39 sec
2013-09-10 20:13:53,188 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.17 sec
2013-09-10 20:13:54,195 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.17 sec
2013-09-10 20:13:55,201 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.17 sec
MapReduce Total cumulative CPU time: 28 seconds 170 msec
Ended Job = job_201309101627_0121
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 28.17 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 28 seconds 170 msec
OK
Time taken: 23.561 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_2425@mturlrep13_201309102013_943607470.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_2853@mturlrep13_201309102014_7623515.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_0122
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:14:08,198 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:14:14,228 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:15,235 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:16,243 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:17,249 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:18,254 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:19,260 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 14.03 sec
2013-09-10 20:14:20,265 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 20.82 sec
2013-09-10 20:14:21,270 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 28.54 sec
2013-09-10 20:14:22,276 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 28.54 sec
2013-09-10 20:14:23,284 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.46 sec
2013-09-10 20:14:24,289 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.46 sec
MapReduce Total cumulative CPU time: 30 seconds 460 msec
Ended Job = job_201309101627_0122
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 30.46 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 30 seconds 460 msec
OK
Time taken: 23.42 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_4095@mturlrep13_201309102014_942872156.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_4560@mturlrep13_201309102014_1712040963.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_0123
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:14:44,237 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:14:49,266 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.11 sec
2013-09-10 20:14:50,273 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.11 sec
2013-09-10 20:14:51,282 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.11 sec
2013-09-10 20:14:52,288 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.11 sec
2013-09-10 20:14:53,294 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.11 sec
2013-09-10 20:14:54,301 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.77 sec
2013-09-10 20:14:55,307 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.77 sec
2013-09-10 20:14:56,313 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 24.77 sec
2013-09-10 20:14:57,320 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.57 sec
2013-09-10 20:14:58,326 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.57 sec
2013-09-10 20:14:59,332 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.57 sec
MapReduce Total cumulative CPU time: 28 seconds 570 msec
Ended Job = job_201309101627_0123
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_0124
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:15:01,785 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:15:03,793 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:04,798 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:05,809 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:06,814 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:07,820 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:08,825 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:09,830 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:15:10,835 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.82 sec
2013-09-10 20:15:11,840 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
2013-09-10 20:15:12,846 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
MapReduce Total cumulative CPU time: 2 seconds 230 msec
Ended Job = job_201309101627_0124
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 28.57 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.23 sec HDFS Read: 1151 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 30 seconds 800 msec
OK
Time taken: 38.302 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_7012@mturlrep13_201309102015_1321687480.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_7736@mturlrep13_201309102015_1218789323.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_0125
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:15:25,872 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:15:30,907 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 5.97 sec
2013-09-10 20:15:31,916 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.9 sec
2013-09-10 20:15:32,924 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.9 sec
2013-09-10 20:15:33,931 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.9 sec
2013-09-10 20:15:34,938 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.9 sec
2013-09-10 20:15:35,944 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 18.67 sec
2013-09-10 20:15:36,950 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.98 sec
2013-09-10 20:15:37,957 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.98 sec
2013-09-10 20:15:38,965 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 26.8 sec
2013-09-10 20:15:39,972 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.6 sec
2013-09-10 20:15:40,978 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 28.6 sec
MapReduce Total cumulative CPU time: 28 seconds 600 msec
Ended Job = job_201309101627_0125
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_0126
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:15:44,517 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:15:45,522 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:46,528 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:47,534 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:48,539 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:49,544 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:50,549 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:51,555 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:52,561 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 20:15:53,567 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
2013-09-10 20:15:54,573 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
2013-09-10 20:15:55,578 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.24 sec
MapReduce Total cumulative CPU time: 2 seconds 240 msec
Ended Job = job_201309101627_0126
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 28.6 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.24 sec HDFS Read: 1149 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 30 seconds 840 msec
OK
Time taken: 37.076 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_9595@mturlrep13_201309102015_955881835.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_10020@mturlrep13_201309102016_1021454413.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_0127
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:16:08,481 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:16:13,508 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.5 sec
2013-09-10 20:16:14,515 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.5 sec
2013-09-10 20:16:15,522 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.5 sec
2013-09-10 20:16:16,528 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.5 sec
2013-09-10 20:16:17,535 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.5 sec
2013-09-10 20:16:18,542 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.29 sec
2013-09-10 20:16:19,547 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.29 sec
2013-09-10 20:16:20,553 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.29 sec
2013-09-10 20:16:21,560 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 25.17 sec
2013-09-10 20:16:22,567 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.08 sec
2013-09-10 20:16:23,574 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.08 sec
MapReduce Total cumulative CPU time: 27 seconds 80 msec
Ended Job = job_201309101627_0127
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_0128
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:16:27,070 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:16:28,075 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:29,081 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:30,090 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:31,096 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:32,101 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:33,106 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:34,111 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:35,117 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.76 sec
2013-09-10 20:16:36,122 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.12 sec
2013-09-10 20:16:37,127 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.12 sec
2013-09-10 20:16:38,133 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.12 sec
MapReduce Total cumulative CPU time: 2 seconds 120 msec
Ended Job = job_201309101627_0128
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 27.08 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.12 sec HDFS Read: 1153 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 200 msec
OK
Time taken: 37.118 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_11865@mturlrep13_201309102016_504239459.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_12310@mturlrep13_201309102016_364343400.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_0129
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:16:59,009 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:17:06,036 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:17:10,057 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:11,064 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:12,072 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:13,079 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:14,086 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:15,092 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:16,099 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.36 sec
2013-09-10 20:17:17,105 Stage-1 map = 72%, reduce = 8%, Cumulative CPU 29.36 sec
2013-09-10 20:17:18,111 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 29.36 sec
2013-09-10 20:17:19,117 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 29.36 sec
2013-09-10 20:17:20,122 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 29.36 sec
2013-09-10 20:17:21,127 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.96 sec
2013-09-10 20:17:22,133 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.96 sec
2013-09-10 20:17:23,139 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.96 sec
2013-09-10 20:17:24,146 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.96 sec
2013-09-10 20:17:25,151 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.96 sec
2013-09-10 20:17:26,158 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 63.53 sec
2013-09-10 20:17:27,165 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.82 sec
2013-09-10 20:17:28,171 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.82 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 820 msec
Ended Job = job_201309101627_0129
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_0130
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:17:30,606 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:17:32,615 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:33,621 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:34,626 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:35,631 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:36,637 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:37,642 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:38,648 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:39,653 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.51 sec
2013-09-10 20:17:40,659 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.05 sec
2013-09-10 20:17:41,665 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.05 sec
2013-09-10 20:17:42,670 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.05 sec
MapReduce Total cumulative CPU time: 3 seconds 50 msec
Ended Job = job_201309101627_0130
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.82 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.05 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 870 msec
OK
Time taken: 53.485 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_14188@mturlrep13_201309102017_126837512.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_14629@mturlrep13_201309102017_1747557025.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_0131
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:17:56,720 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:18:03,746 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:18:06,763 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:07,770 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:08,777 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:09,783 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:10,789 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:11,795 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:12,801 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 28.46 sec
2013-09-10 20:18:13,812 Stage-1 map = 96%, reduce = 8%, Cumulative CPU 28.46 sec
2013-09-10 20:18:14,818 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.46 sec
2013-09-10 20:18:15,823 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 28.46 sec
2013-09-10 20:18:16,829 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:17,834 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:18,839 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:19,845 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:20,850 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:21,855 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 57.8 sec
2013-09-10 20:18:22,863 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 63.32 sec
2013-09-10 20:18:23,869 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.39 sec
2013-09-10 20:18:24,875 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.39 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 390 msec
Ended Job = job_201309101627_0131
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_0132
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:18:27,568 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:18:30,579 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:31,584 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:32,589 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:33,594 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:34,599 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:35,604 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:36,609 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.46 sec
2013-09-10 20:18:37,614 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.0 sec
2013-09-10 20:18:38,620 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.0 sec
2013-09-10 20:18:39,625 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.0 sec
MapReduce Total cumulative CPU time: 3 seconds 0 msec
Ended Job = job_201309101627_0132
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.39 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.0 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 13 seconds 390 msec
OK
Time taken: 51.134 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_16555@mturlrep13_201309102018_646695690.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_16977@mturlrep13_201309102018_162818540.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_0133
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:18:53,456 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:19:00,484 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:19:02,498 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:03,506 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:04,513 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:05,520 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:06,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:07,533 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:08,540 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:09,546 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.76 sec
2013-09-10 20:19:10,558 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.76 sec
2013-09-10 20:19:11,564 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.76 sec
2013-09-10 20:19:12,570 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 42.08 sec
2013-09-10 20:19:13,576 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.65 sec
2013-09-10 20:19:14,582 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.65 sec
2013-09-10 20:19:15,588 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.65 sec
2013-09-10 20:19:16,594 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.65 sec
2013-09-10 20:19:17,600 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 56.65 sec
2013-09-10 20:19:18,608 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 62.31 sec
2013-09-10 20:19:19,614 Stage-1 map = 100%, reduce = 98%, Cumulative CPU 62.31 sec
2013-09-10 20:19:20,621 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.64 sec
2013-09-10 20:19:21,627 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.64 sec
MapReduce Total cumulative CPU time: 1 minutes 9 seconds 640 msec
Ended Job = job_201309101627_0133
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_0134
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:19:25,083 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:19:27,101 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:28,107 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:29,112 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:30,117 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:31,122 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:32,127 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:33,133 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.52 sec
2013-09-10 20:19:34,138 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 1.52 sec
2013-09-10 20:19:35,143 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.06 sec
2013-09-10 20:19:36,149 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.06 sec
MapReduce Total cumulative CPU time: 3 seconds 60 msec
Ended Job = job_201309101627_0134
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 69.64 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.06 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 12 seconds 700 msec
OK
Time taken: 50.893 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_18929@mturlrep13_201309102019_1852281941.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_19369@mturlrep13_201309102019_1237243258.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_0135
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:19:56,153 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:20:03,183 Stage-1 map = 29%, reduce = 0%
2013-09-10 20:20:06,195 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:20:09,213 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:10,221 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:11,229 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:12,236 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:13,242 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:14,249 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:15,255 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.32 sec
2013-09-10 20:20:16,261 Stage-1 map = 64%, reduce = 8%, Cumulative CPU 34.32 sec
2013-09-10 20:20:17,275 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-10 20:20:18,328 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-10 20:20:19,334 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-10 20:20:20,340 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-10 20:20:21,347 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.32 sec
2013-09-10 20:20:22,353 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:23,358 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:24,363 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:25,369 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:26,375 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:27,380 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:28,386 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:29,391 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:30,397 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.37 sec
2013-09-10 20:20:31,404 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 74.61 sec
2013-09-10 20:20:32,409 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 74.61 sec
2013-09-10 20:20:33,415 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 83.92 sec
2013-09-10 20:20:34,421 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 83.92 sec
MapReduce Total cumulative CPU time: 1 minutes 23 seconds 920 msec
Ended Job = job_201309101627_0135
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_0136
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:20:36,980 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:20:39,990 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:40,995 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:42,000 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:43,005 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:44,010 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:45,016 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:46,021 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.64 sec
2013-09-10 20:20:47,027 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.21 sec
2013-09-10 20:20:48,032 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.21 sec
2013-09-10 20:20:49,038 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.21 sec
MapReduce Total cumulative CPU time: 3 seconds 210 msec
Ended Job = job_201309101627_0136
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 83.92 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.21 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 27 seconds 130 msec
OK
Time taken: 62.752 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_22157@mturlrep13_201309102020_335437932.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_22568@mturlrep13_201309102020_882304972.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_0137
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:21:02,043 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:21:10,075 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:21:13,089 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:21:15,103 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:16,110 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:17,119 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:18,125 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:19,132 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:20,138 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:21,145 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:22,151 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.24 sec
2013-09-10 20:21:23,157 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.24 sec
2013-09-10 20:21:24,162 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.24 sec
2013-09-10 20:21:25,168 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.24 sec
2013-09-10 20:21:26,174 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.24 sec
2013-09-10 20:21:27,179 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 49.89 sec
2013-09-10 20:21:28,185 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:29,190 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:30,195 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:31,202 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:32,209 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:33,214 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:34,220 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:35,225 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:36,231 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.04 sec
2013-09-10 20:21:37,239 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 75.13 sec
2013-09-10 20:21:38,244 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 75.13 sec
2013-09-10 20:21:39,250 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.3 sec
2013-09-10 20:21:40,256 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.3 sec
2013-09-10 20:21:41,262 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.3 sec
MapReduce Total cumulative CPU time: 1 minutes 24 seconds 300 msec
Ended Job = job_201309101627_0137
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_0138
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:21:43,758 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:21:45,767 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:46,772 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:47,776 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:48,781 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:49,785 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:50,789 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:51,793 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:52,798 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2013-09-10 20:21:53,803 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.33 sec
2013-09-10 20:21:54,809 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.33 sec
2013-09-10 20:21:55,814 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.33 sec
MapReduce Total cumulative CPU time: 3 seconds 330 msec
Ended Job = job_201309101627_0138
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 84.3 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.33 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 27 seconds 630 msec
OK
Time taken: 61.04 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_24690@mturlrep13_201309102021_1595959377.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_25093@mturlrep13_201309102022_1638369950.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_0139
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:22:08,691 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:22:16,719 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:22:19,729 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:22:21,743 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:22,750 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:23,757 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:24,763 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:25,772 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:26,789 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:27,794 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 32.81 sec
2013-09-10 20:22:28,800 Stage-1 map = 88%, reduce = 8%, Cumulative CPU 32.81 sec
2013-09-10 20:22:29,804 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 32.81 sec
2013-09-10 20:22:30,809 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 32.81 sec
2013-09-10 20:22:31,815 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 32.81 sec
2013-09-10 20:22:32,820 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 48.46 sec
2013-09-10 20:22:33,825 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:34,830 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:35,835 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:36,840 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:37,846 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:38,851 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:39,857 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:40,862 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:41,867 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:42,872 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.91 sec
2013-09-10 20:22:43,879 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 74.06 sec
2013-09-10 20:22:44,885 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 74.06 sec
2013-09-10 20:22:45,890 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 83.62 sec
2013-09-10 20:22:46,895 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 83.62 sec
MapReduce Total cumulative CPU time: 1 minutes 23 seconds 620 msec
Ended Job = job_201309101627_0139
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_0140
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:22:49,470 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:22:52,481 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:53,486 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:54,491 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:55,496 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:56,501 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:57,505 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:58,510 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.58 sec
2013-09-10 20:22:59,516 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.1 sec
2013-09-10 20:23:00,521 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.1 sec
2013-09-10 20:23:01,527 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.1 sec
MapReduce Total cumulative CPU time: 3 seconds 100 msec
Ended Job = job_201309101627_0140
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 83.62 sec HDFS Read: 74853201 HDFS Write: 148871 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.1 sec HDFS Read: 149640 HDFS Write: 414 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 26 seconds 720 msec
OK
Time taken: 60.141 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_27176@mturlrep13_201309102023_1934793750.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_27614@mturlrep13_201309102023_1296494329.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_0141
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:23:21,374 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:23:28,411 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:29,419 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:30,426 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:31,433 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:32,439 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:33,446 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.04 sec
2013-09-10 20:23:34,453 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 17.69 sec
2013-09-10 20:23:35,460 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:36,466 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:37,472 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:38,478 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:39,483 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:40,489 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:41,496 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 23.96 sec
2013-09-10 20:23:42,503 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.53 sec
2013-09-10 20:23:43,510 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.53 sec
MapReduce Total cumulative CPU time: 30 seconds 530 msec
Ended Job = job_201309101627_0141
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_0142
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:23:46,001 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:23:48,011 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:49,017 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:50,022 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:51,028 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:52,033 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:53,038 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:54,043 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.82 sec
2013-09-10 20:23:55,049 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.82 sec
2013-09-10 20:23:56,055 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.21 sec
2013-09-10 20:23:57,060 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.21 sec
MapReduce Total cumulative CPU time: 2 seconds 210 msec
Ended Job = job_201309101627_0142
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 30.53 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.21 sec HDFS Read: 21897 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 32 seconds 740 msec
OK
Time taken: 45.242 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_29548@mturlrep13_201309102023_2146255552.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_29955@mturlrep13_201309102024_1375294080.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_0143
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:24:10,138 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:24:16,170 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:17,178 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:18,185 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:19,192 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:20,198 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:21,205 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.73 sec
2013-09-10 20:24:22,212 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 17.85 sec
2013-09-10 20:24:23,218 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:24:24,224 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:25,230 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:26,236 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:27,242 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:28,247 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:29,253 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 24.46 sec
2013-09-10 20:24:30,261 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.02 sec
2013-09-10 20:24:31,267 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.02 sec
2013-09-10 20:24:32,273 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.02 sec
MapReduce Total cumulative CPU time: 31 seconds 20 msec
Ended Job = job_201309101627_0143
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_0144
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:24:35,773 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:24:37,782 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:38,787 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:39,792 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:40,797 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:41,801 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:42,806 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:43,812 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.02 sec
2013-09-10 20:24:44,817 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.49 sec
2013-09-10 20:24:45,823 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.49 sec
2013-09-10 20:24:46,829 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.49 sec
MapReduce Total cumulative CPU time: 2 seconds 490 msec
Ended Job = job_201309101627_0144
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 31.02 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.49 sec HDFS Read: 21897 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 510 msec
OK
Time taken: 44.206 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_31926@mturlrep13_201309102024_227013922.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_32329@mturlrep13_201309102024_666768593.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_0145
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:25:00,728 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:25:05,756 Stage-1 map = 25%, reduce = 0%, Cumulative CPU 5.9 sec
2013-09-10 20:25:06,765 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:07,772 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:08,779 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:09,786 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:10,792 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:11,798 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 20:25:12,804 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 28.24 sec
2013-09-10 20:25:13,810 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 28.24 sec
2013-09-10 20:25:14,818 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 31.4 sec
2013-09-10 20:25:15,824 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 31.4 sec
2013-09-10 20:25:16,831 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 31.4 sec
2013-09-10 20:25:17,837 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 31.4 sec
2013-09-10 20:25:18,843 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 31.4 sec
2013-09-10 20:25:19,849 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.7 sec
2013-09-10 20:25:20,855 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.7 sec
2013-09-10 20:25:21,861 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 34.7 sec
MapReduce Total cumulative CPU time: 34 seconds 700 msec
Ended Job = job_201309101627_0145
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_0146
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:25:24,374 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:25:26,382 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:27,388 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:28,393 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:29,398 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:30,402 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:31,407 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:32,412 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.88 sec
2013-09-10 20:25:33,418 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.88 sec
2013-09-10 20:25:34,423 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.41 sec
2013-09-10 20:25:35,429 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.41 sec
MapReduce Total cumulative CPU time: 2 seconds 410 msec
Ended Job = job_201309101627_0146
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 34.7 sec HDFS Read: 58273488 HDFS Write: 21128 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.41 sec HDFS Read: 21895 HDFS Write: 127 SUCCESS
Total MapReduce CPU Time Spent: 37 seconds 110 msec
OK
Time taken: 43.002 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_2839@mturlrep13_201309102025_1906588406.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_3277@mturlrep13_201309102025_1190023510.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_0147
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:25:56,480 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:26:02,515 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:03,523 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:04,531 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:05,538 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:06,545 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:07,552 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:08,558 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.68 sec
2013-09-10 20:26:09,564 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 23.83 sec
2013-09-10 20:26:10,570 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:11,577 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:12,583 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:13,589 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:14,595 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:15,601 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 23.83 sec
2013-09-10 20:26:16,609 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.35 sec
2013-09-10 20:26:17,636 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.35 sec
2013-09-10 20:26:18,643 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.35 sec
MapReduce Total cumulative CPU time: 31 seconds 350 msec
Ended Job = job_201309101627_0147
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_0148
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:26:22,244 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:26:23,249 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:24,255 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:25,261 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:26,266 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:27,272 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:28,277 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:29,282 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:30,287 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 20:26:31,294 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.34 sec
2013-09-10 20:26:32,299 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.34 sec
2013-09-10 20:26:33,305 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.34 sec
MapReduce Total cumulative CPU time: 2 seconds 340 msec
Ended Job = job_201309101627_0148
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 31.35 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.34 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 690 msec
OK
Time taken: 46.938 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_5533@mturlrep13_201309102026_343654465.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_5957@mturlrep13_201309102026_864824933.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_0149
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:26:46,474 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:26:52,507 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:53,515 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:54,522 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:55,528 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:56,534 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:57,540 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.69 sec
2013-09-10 20:26:58,546 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.76 sec
2013-09-10 20:26:59,552 Stage-1 map = 100%, reduce = 13%, Cumulative CPU 23.76 sec
2013-09-10 20:27:00,559 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 23.76 sec
2013-09-10 20:27:01,568 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.2 sec
2013-09-10 20:27:02,574 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.2 sec
2013-09-10 20:27:03,580 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.2 sec
2013-09-10 20:27:04,586 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.2 sec
2013-09-10 20:27:05,592 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.2 sec
2013-09-10 20:27:06,599 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.79 sec
2013-09-10 20:27:07,605 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 30.79 sec
MapReduce Total cumulative CPU time: 30 seconds 790 msec
Ended Job = job_201309101627_0149
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_0150
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:27:10,095 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:27:12,104 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:13,109 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:14,115 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:15,120 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:16,125 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:17,130 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:18,136 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:19,141 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.87 sec
2013-09-10 20:27:20,148 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.35 sec
2013-09-10 20:27:21,154 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.35 sec
2013-09-10 20:27:22,160 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.35 sec
MapReduce Total cumulative CPU time: 2 seconds 350 msec
Ended Job = job_201309101627_0150
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 30.79 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.35 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 140 msec
OK
Time taken: 43.048 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_7889@mturlrep13_201309102027_433190922.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_8295@mturlrep13_201309102027_581718614.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_0151
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:27:35,347 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:27:41,379 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:42,387 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:43,395 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:44,401 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:45,408 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:46,415 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 11.72 sec
2013-09-10 20:27:47,422 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.93 sec
2013-09-10 20:27:48,428 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.93 sec
2013-09-10 20:27:49,434 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 23.93 sec
2013-09-10 20:27:50,442 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 27.74 sec
2013-09-10 20:27:51,449 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 28.35 sec
2013-09-10 20:27:52,455 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 28.35 sec
2013-09-10 20:27:53,461 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 28.35 sec
2013-09-10 20:27:54,467 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 28.35 sec
2013-09-10 20:27:55,473 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.22 sec
2013-09-10 20:27:56,479 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.22 sec
2013-09-10 20:27:57,486 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 31.22 sec
MapReduce Total cumulative CPU time: 31 seconds 220 msec
Ended Job = job_201309101627_0151
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_0152
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:28:00,985 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:28:02,995 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:04,000 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:05,005 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:06,010 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:07,016 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:08,021 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:09,027 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.96 sec
2013-09-10 20:28:10,033 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.4 sec
2013-09-10 20:28:11,039 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.4 sec
2013-09-10 20:28:12,044 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.4 sec
MapReduce Total cumulative CPU time: 2 seconds 400 msec
Ended Job = job_201309101627_0152
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 31.22 sec HDFS Read: 59259422 HDFS Write: 22710 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.4 sec HDFS Read: 23479 HDFS Write: 149 SUCCESS
Total MapReduce CPU Time Spent: 33 seconds 620 msec
OK
Time taken: 44.124 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_10235@mturlrep13_201309102028_1893210303.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_10677@mturlrep13_201309102028_1721692497.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_0153
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:28:32,602 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:28:39,632 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:28:40,644 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:41,652 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:42,659 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:43,665 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:44,671 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:45,677 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:46,684 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:47,691 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.88 sec
2013-09-10 20:28:48,697 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.87 sec
2013-09-10 20:28:49,702 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.87 sec
2013-09-10 20:28:50,708 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.87 sec
2013-09-10 20:28:51,714 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:52,720 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:53,726 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:54,732 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:55,738 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:56,744 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 43.54 sec
2013-09-10 20:28:57,752 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.79 sec
2013-09-10 20:28:58,758 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.79 sec
2013-09-10 20:28:59,763 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.79 sec
MapReduce Total cumulative CPU time: 56 seconds 790 msec
Ended Job = job_201309101627_0153
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_0154
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:29:03,287 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:29:10,313 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:29:12,321 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:13,327 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:14,332 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:15,336 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:16,340 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:17,345 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:18,350 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:19,354 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.87 sec
2013-09-10 20:29:20,360 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.87 sec
2013-09-10 20:29:21,365 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
2013-09-10 20:29:22,370 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
2013-09-10 20:29:23,375 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
MapReduce Total cumulative CPU time: 18 seconds 400 msec
Ended Job = job_201309101627_0154
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 56.79 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.4 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 15 seconds 190 msec
OK
Time taken: 60.48 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_12624@mturlrep13_201309102029_1863431716.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_13040@mturlrep13_201309102029_973897390.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_0155
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:29:37,380 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:29:44,415 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:45,423 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:46,431 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:47,438 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:48,445 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:49,452 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:50,458 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:51,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.02 sec
2013-09-10 20:29:52,472 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:53,478 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:54,484 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:55,490 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:56,496 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:57,502 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:58,508 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:29:59,514 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:30:00,520 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.52 sec
2013-09-10 20:30:01,529 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.86 sec
2013-09-10 20:30:02,535 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.86 sec
2013-09-10 20:30:03,541 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.86 sec
MapReduce Total cumulative CPU time: 56 seconds 860 msec
Ended Job = job_201309101627_0155
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_0156
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:30:06,136 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:30:14,165 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:30:16,174 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:17,180 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:18,186 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:19,191 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:20,195 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:21,200 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:22,205 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:23,210 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.7 sec
2013-09-10 20:30:24,216 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.7 sec
2013-09-10 20:30:25,221 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
2013-09-10 20:30:26,227 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
2013-09-10 20:30:27,232 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.4 sec
MapReduce Total cumulative CPU time: 18 seconds 400 msec
Ended Job = job_201309101627_0156
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 56.86 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.4 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 15 seconds 260 msec
OK
Time taken: 58.248 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_15653@mturlrep13_201309102030_1115123601.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_16121@mturlrep13_201309102030_1858922257.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_0157
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:30:40,546 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:30:48,583 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:49,592 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:50,600 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:51,608 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:52,614 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:53,621 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:54,628 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.04 sec
2013-09-10 20:30:55,635 Stage-1 map = 96%, reduce = 8%, Cumulative CPU 21.04 sec
2013-09-10 20:30:56,641 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:30:57,648 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:30:58,655 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:30:59,661 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:31:00,667 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:31:01,673 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:31:02,679 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:31:03,685 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.64 sec
2013-09-10 20:31:04,693 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 49.56 sec
2013-09-10 20:31:05,699 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.8 sec
2013-09-10 20:31:06,706 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 56.8 sec
MapReduce Total cumulative CPU time: 56 seconds 800 msec
Ended Job = job_201309101627_0157
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_0158
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:31:10,220 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:31:17,244 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:31:20,255 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:21,260 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:22,265 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:23,269 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:24,273 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:25,277 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:26,281 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.82 sec
2013-09-10 20:31:27,286 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.82 sec
2013-09-10 20:31:28,291 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.82 sec
2013-09-10 20:31:29,296 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.28 sec
2013-09-10 20:31:30,301 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.28 sec
MapReduce Total cumulative CPU time: 18 seconds 280 msec
Ended Job = job_201309101627_0158
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 56.8 sec HDFS Read: 27820105 HDFS Write: 79726641 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.28 sec HDFS Read: 79727410 HDFS Write: 275 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 15 seconds 80 msec
OK
Time taken: 57.158 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_18105@mturlrep13_201309102031_1802187609.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_18522@mturlrep13_201309102031_2086673923.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_0159
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:31:51,697 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:31:58,726 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:32:00,742 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:01,750 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:02,758 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:03,765 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:04,772 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:05,778 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:06,785 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:07,792 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 20:32:08,798 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 21.86 sec
2013-09-10 20:32:09,804 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 34.11 sec
2013-09-10 20:32:10,810 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:11,815 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:12,821 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:13,827 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:14,833 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:15,838 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:16,845 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 45.7 sec
2013-09-10 20:32:17,852 Stage-1 map = 100%, reduce = 94%, Cumulative CPU 53.79 sec
2013-09-10 20:32:18,858 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.45 sec
2013-09-10 20:32:19,864 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.45 sec
2013-09-10 20:32:20,870 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.45 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 450 msec
Ended Job = job_201309101627_0159
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_0160
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:32:23,381 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:32:31,407 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:32:33,415 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:34,420 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:35,425 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:36,430 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:37,435 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:38,439 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:39,444 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:40,450 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.98 sec
2013-09-10 20:32:41,454 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.98 sec
2013-09-10 20:32:42,460 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.54 sec
2013-09-10 20:32:43,465 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.54 sec
2013-09-10 20:32:44,470 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.54 sec
MapReduce Total cumulative CPU time: 18 seconds 540 msec
Ended Job = job_201309101627_0160
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.45 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.54 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 20 seconds 990 msec
OK
Time taken: 62.742 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_20555@mturlrep13_201309102032_475578712.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_20972@mturlrep13_201309102032_588341028.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_0161
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:32:58,361 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:33:05,390 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:33:06,404 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:07,412 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:08,419 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:09,426 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:10,433 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:11,439 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:12,445 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 22.79 sec
2013-09-10 20:33:13,453 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 22.79 sec
2013-09-10 20:33:14,459 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 34.01 sec
2013-09-10 20:33:15,464 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:16,469 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:17,474 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:18,480 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:19,487 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:20,493 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:21,500 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.13 sec
2013-09-10 20:33:22,506 Stage-1 map = 100%, reduce = 85%, Cumulative CPU 46.13 sec
2013-09-10 20:33:23,514 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 54.52 sec
2013-09-10 20:33:24,520 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.25 sec
2013-09-10 20:33:25,526 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 63.25 sec
MapReduce Total cumulative CPU time: 1 minutes 3 seconds 250 msec
Ended Job = job_201309101627_0161
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_0162
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:33:28,009 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:33:36,038 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:33:38,047 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:39,052 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:40,057 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:41,062 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:42,067 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:43,072 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:44,077 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.62 sec
2013-09-10 20:33:45,083 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 14.62 sec
2013-09-10 20:33:46,088 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 14.62 sec
2013-09-10 20:33:47,094 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.02 sec
2013-09-10 20:33:48,100 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.02 sec
2013-09-10 20:33:49,106 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.02 sec
MapReduce Total cumulative CPU time: 19 seconds 20 msec
Ended Job = job_201309101627_0162
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 63.25 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 19.02 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 22 seconds 270 msec
OK
Time taken: 59.043 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_22965@mturlrep13_201309102033_23929963.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_23374@mturlrep13_201309102033_541536373.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_0163
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:34:02,415 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:34:10,447 Stage-1 map = 39%, reduce = 0%
2013-09-10 20:34:11,460 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:12,468 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:13,476 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:14,482 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:15,489 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:16,496 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:17,504 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:18,510 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.54 sec
2013-09-10 20:34:19,517 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 34.51 sec
2013-09-10 20:34:20,523 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:21,528 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:22,534 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:23,540 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:24,546 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:25,552 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:26,558 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 46.08 sec
2013-09-10 20:34:27,617 Stage-1 map = 100%, reduce = 53%, Cumulative CPU 46.08 sec
2013-09-10 20:34:28,624 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 46.08 sec
2013-09-10 20:34:29,632 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.7 sec
2013-09-10 20:34:30,639 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.7 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 700 msec
Ended Job = job_201309101627_0163
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_0164
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:34:33,122 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:34:41,155 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:34:43,164 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:44,169 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:45,174 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:46,178 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:47,183 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:48,187 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:49,192 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:50,197 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 12.71 sec
2013-09-10 20:34:51,202 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 12.71 sec
2013-09-10 20:34:52,208 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.18 sec
2013-09-10 20:34:53,213 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.18 sec
2013-09-10 20:34:54,218 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 17.18 sec
MapReduce Total cumulative CPU time: 17 seconds 180 msec
Ended Job = job_201309101627_0164
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 62.7 sec HDFS Read: 84536695 HDFS Write: 79726544 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 17.18 sec HDFS Read: 79727313 HDFS Write: 293 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 19 seconds 880 msec
OK
Time taken: 59.131 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_25402@mturlrep13_201309102035_1149364562.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_25922@mturlrep13_201309102035_1476813424.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_0165
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:35:15,161 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:35:22,191 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:35:23,203 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 12.86 sec
2013-09-10 20:35:24,211 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:25,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:26,225 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:27,231 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:28,238 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:29,244 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:30,251 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 23.67 sec
2013-09-10 20:35:31,257 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 23.67 sec
2013-09-10 20:35:32,262 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:33,268 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:34,273 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:35,279 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:36,285 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:37,290 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:38,296 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:39,302 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 49.57 sec
2013-09-10 20:35:40,308 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 49.57 sec
2013-09-10 20:35:41,315 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 65.45 sec
2013-09-10 20:35:42,321 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 65.45 sec
MapReduce Total cumulative CPU time: 1 minutes 5 seconds 450 msec
Ended Job = job_201309101627_0165
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_0166
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:35:45,794 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:35:52,817 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:35:55,829 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:35:56,834 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:35:57,839 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:35:58,844 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:35:59,849 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:36:00,854 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:36:01,859 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:36:02,864 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.25 sec
2013-09-10 20:36:03,871 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 14.25 sec
2013-09-10 20:36:04,875 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.73 sec
2013-09-10 20:36:05,880 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.73 sec
2013-09-10 20:36:06,885 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.73 sec
MapReduce Total cumulative CPU time: 18 seconds 730 msec
Ended Job = job_201309101627_0166
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 65.45 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.73 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 24 seconds 180 msec
OK
Time taken: 61.752 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_28465@mturlrep13_201309102036_191417244.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_28883@mturlrep13_201309102036_2013031139.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_0167
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:36:19,984 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:36:28,024 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 13.29 sec
2013-09-10 20:36:29,031 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:30,039 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:31,045 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:32,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:33,057 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:34,064 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:35,071 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.97 sec
2013-09-10 20:36:36,077 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.97 sec
2013-09-10 20:36:37,083 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:38,088 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:39,094 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:40,100 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:41,106 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:42,113 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:43,119 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:44,125 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 52.14 sec
2013-09-10 20:36:45,133 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 59.87 sec
2013-09-10 20:36:46,162 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 67.67 sec
2013-09-10 20:36:47,168 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 67.67 sec
MapReduce Total cumulative CPU time: 1 minutes 7 seconds 670 msec
Ended Job = job_201309101627_0167
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_0168
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:36:50,673 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:36:57,699 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:37:00,711 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:01,717 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:02,722 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:03,727 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:04,732 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:05,737 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:06,742 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:07,747 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 14.57 sec
2013-09-10 20:37:08,753 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 14.57 sec
2013-09-10 20:37:09,759 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.06 sec
2013-09-10 20:37:10,766 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.06 sec
2013-09-10 20:37:11,771 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 19.06 sec
MapReduce Total cumulative CPU time: 19 seconds 60 msec
Ended Job = job_201309101627_0168
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 67.67 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 19.06 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 26 seconds 730 msec
OK
Time taken: 59.316 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_30836@mturlrep13_201309102037_1364975139.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_31259@mturlrep13_201309102037_375310228.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_0169
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:37:26,291 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:37:33,329 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:34,338 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:35,345 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:36,353 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:37,359 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:38,366 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:39,373 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:40,379 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.31 sec
2013-09-10 20:37:41,386 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:42,392 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:43,397 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:44,402 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:45,408 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:46,414 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:47,430 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:48,436 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:49,442 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 41.79 sec
2013-09-10 20:37:50,450 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.25 sec
2013-09-10 20:37:51,457 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.25 sec
2013-09-10 20:37:52,463 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 57.25 sec
MapReduce Total cumulative CPU time: 57 seconds 250 msec
Ended Job = job_201309101627_0169
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_0170
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:37:55,055 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:38:03,082 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:38:06,093 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:07,099 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:08,103 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:09,108 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:10,112 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:11,116 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:12,121 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 13.95 sec
2013-09-10 20:38:13,132 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.95 sec
2013-09-10 20:38:14,138 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 13.95 sec
2013-09-10 20:38:15,145 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.87 sec
2013-09-10 20:38:16,151 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 18.87 sec
MapReduce Total cumulative CPU time: 18 seconds 870 msec
Ended Job = job_201309101627_0170
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 57.25 sec HDFS Read: 30310112 HDFS Write: 84160093 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 18.87 sec HDFS Read: 84160862 HDFS Write: 297 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 16 seconds 120 msec
OK
Time taken: 58.243 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_793@mturlrep13_201309102038_41120761.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_1406@mturlrep13_201309102038_1726333638.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_0171
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:38:38,249 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:38:45,278 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:38:48,297 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:49,304 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:50,311 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:51,317 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:52,325 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:53,333 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:54,339 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.52 sec
2013-09-10 20:38:55,346 Stage-1 map = 72%, reduce = 8%, Cumulative CPU 27.52 sec
2013-09-10 20:38:56,352 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.52 sec
2013-09-10 20:38:57,358 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.52 sec
2013-09-10 20:38:58,365 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.52 sec
2013-09-10 20:38:59,371 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.77 sec
2013-09-10 20:39:00,377 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.77 sec
2013-09-10 20:39:01,383 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.77 sec
2013-09-10 20:39:02,390 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.77 sec
2013-09-10 20:39:03,396 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.77 sec
2013-09-10 20:39:04,401 Stage-1 map = 100%, reduce = 55%, Cumulative CPU 55.77 sec
2013-09-10 20:39:05,409 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 62.77 sec
2013-09-10 20:39:06,415 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.11 sec
2013-09-10 20:39:07,421 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 70.11 sec
MapReduce Total cumulative CPU time: 1 minutes 10 seconds 110 msec
Ended Job = job_201309101627_0171
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_0172
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:39:10,920 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:39:20,949 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:39:23,958 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:24,964 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:25,969 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:26,974 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:27,979 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:28,984 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:29,988 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:30,994 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 19.25 sec
2013-09-10 20:39:31,998 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 19.25 sec
2013-09-10 20:39:33,003 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 19.25 sec
2013-09-10 20:39:34,009 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.7 sec
2013-09-10 20:39:35,014 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.7 sec
MapReduce Total cumulative CPU time: 23 seconds 700 msec
Ended Job = job_201309101627_0172
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 70.11 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 23.7 sec HDFS Read: 55476181 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 33 seconds 810 msec
OK
Time taken: 66.769 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_3462@mturlrep13_201309102039_1149451168.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_3871@mturlrep13_201309102039_1735915084.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_0173
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:39:48,055 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:39:56,086 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:39:58,100 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:39:59,108 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:00,116 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:01,122 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:02,128 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:03,135 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:04,141 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.32 sec
2013-09-10 20:40:05,147 Stage-1 map = 72%, reduce = 8%, Cumulative CPU 27.32 sec
2013-09-10 20:40:06,152 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.32 sec
2013-09-10 20:40:07,158 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 39.83 sec
2013-09-10 20:40:08,163 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:09,168 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:10,174 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:11,179 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:12,185 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:13,190 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.14 sec
2013-09-10 20:40:14,196 Stage-1 map = 100%, reduce = 55%, Cumulative CPU 55.14 sec
2013-09-10 20:40:15,218 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.62 sec
2013-09-10 20:40:16,223 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.62 sec
2013-09-10 20:40:17,229 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 69.62 sec
MapReduce Total cumulative CPU time: 1 minutes 9 seconds 620 msec
Ended Job = job_201309101627_0173
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_0174
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:40:19,719 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:40:30,752 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:40:34,764 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:35,768 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:36,772 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:37,776 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:38,781 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:39,785 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:40,790 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 20:40:41,807 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.83 sec
2013-09-10 20:40:42,811 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.83 sec
2013-09-10 20:40:43,816 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.17 sec
2013-09-10 20:40:44,820 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 23.17 sec
MapReduce Total cumulative CPU time: 23 seconds 170 msec
Ended Job = job_201309101627_0174
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 69.62 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 23.17 sec HDFS Read: 55476181 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 32 seconds 790 msec
OK
Time taken: 64.078 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_6839@mturlrep13_201309102040_775437631.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_7242@mturlrep13_201309102040_2081233093.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_0175
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:40:57,539 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:41:05,573 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:41:07,588 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:08,596 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:09,603 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:10,609 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:11,616 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:12,623 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:13,629 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 26.59 sec
2013-09-10 20:41:14,635 Stage-1 map = 96%, reduce = 8%, Cumulative CPU 26.59 sec
2013-09-10 20:41:15,641 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 26.59 sec
2013-09-10 20:41:16,647 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 39.34 sec
2013-09-10 20:41:17,653 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:18,658 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:19,664 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:20,670 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:21,677 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:22,683 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 54.36 sec
2013-09-10 20:41:23,689 Stage-1 map = 100%, reduce = 55%, Cumulative CPU 54.36 sec
2013-09-10 20:41:24,697 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.52 sec
2013-09-10 20:41:25,704 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.52 sec
2013-09-10 20:41:26,709 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 68.52 sec
MapReduce Total cumulative CPU time: 1 minutes 8 seconds 520 msec
Ended Job = job_201309101627_0175
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_0176
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:41:29,212 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:41:40,246 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:41:44,259 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:45,264 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:46,268 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:47,273 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:48,278 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:49,283 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:50,287 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 18.47 sec
2013-09-10 20:41:51,293 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.47 sec
2013-09-10 20:41:52,298 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 18.47 sec
2013-09-10 20:41:53,303 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.87 sec
2013-09-10 20:41:54,309 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 22.87 sec
MapReduce Total cumulative CPU time: 22 seconds 870 msec
Ended Job = job_201309101627_0176
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 68.52 sec HDFS Read: 57312623 HDFS Write: 55475412 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 22.87 sec HDFS Read: 55476181 HDFS Write: 246 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 31 seconds 390 msec
OK
Time taken: 63.944 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_9222@mturlrep13_201309102042_1508377166.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_9653@mturlrep13_201309102042_1395015461.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_0177
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:42:17,156 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:42:24,184 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:42:27,198 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:42:29,212 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 16.85 sec
2013-09-10 20:42:30,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:31,227 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:32,234 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:33,240 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:34,246 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:35,251 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:36,257 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.6 sec
2013-09-10 20:42:37,262 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.6 sec
2013-09-10 20:42:38,272 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.6 sec
2013-09-10 20:42:39,277 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 34.6 sec
2013-09-10 20:42:40,283 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.6 sec
2013-09-10 20:42:41,289 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.6 sec
2013-09-10 20:42:42,295 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:43,301 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:44,306 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:45,312 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:46,318 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:47,324 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:48,329 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:49,336 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:50,341 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:51,347 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.15 sec
2013-09-10 20:42:52,352 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 68.15 sec
2013-09-10 20:42:53,360 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 84.75 sec
2013-09-10 20:42:54,366 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.79 sec
2013-09-10 20:42:55,371 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.79 sec
2013-09-10 20:42:56,377 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.79 sec
MapReduce Total cumulative CPU time: 1 minutes 29 seconds 790 msec
Ended Job = job_201309101627_0177
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_0178
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:42:58,964 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:43:10,003 Stage-2 map = 46%, reduce = 0%
2013-09-10 20:43:13,012 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:43:16,023 Stage-2 map = 96%, reduce = 0%
2013-09-10 20:43:18,031 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:19,036 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:20,041 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:21,046 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:22,050 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:23,055 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:24,059 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.46 sec
2013-09-10 20:43:25,063 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.46 sec
2013-09-10 20:43:26,067 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.46 sec
2013-09-10 20:43:27,072 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.46 sec
2013-09-10 20:43:28,077 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.87 sec
2013-09-10 20:43:29,082 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.87 sec
2013-09-10 20:43:30,087 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.87 sec
MapReduce Total cumulative CPU time: 28 seconds 870 msec
Ended Job = job_201309101627_0178
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 89.79 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 28.87 sec HDFS Read: 146210123 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 58 seconds 660 msec
OK
Time taken: 82.627 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_11739@mturlrep13_201309102043_755615207.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_12158@mturlrep13_201309102043_667274494.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_0179
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:43:44,421 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:43:51,451 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:43:55,477 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:43:56,485 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:43:57,492 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:43:58,500 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:43:59,508 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:44:00,514 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:44:01,521 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:44:02,527 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.5 sec
2013-09-10 20:44:03,534 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.5 sec
2013-09-10 20:44:04,541 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.5 sec
2013-09-10 20:44:05,547 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.5 sec
2013-09-10 20:44:06,553 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.5 sec
2013-09-10 20:44:07,559 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 49.48 sec
2013-09-10 20:44:08,565 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:09,570 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:10,575 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:11,580 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:12,586 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:13,594 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:14,600 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:15,606 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:16,612 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:17,618 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.45 sec
2013-09-10 20:44:18,624 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 67.45 sec
2013-09-10 20:44:19,630 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 67.45 sec
2013-09-10 20:44:20,638 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.72 sec
2013-09-10 20:44:21,644 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.72 sec
2013-09-10 20:44:22,650 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.72 sec
MapReduce Total cumulative CPU time: 1 minutes 29 seconds 720 msec
Ended Job = job_201309101627_0179
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_0180
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:44:25,163 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:44:36,195 Stage-2 map = 46%, reduce = 0%
2013-09-10 20:44:39,205 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:44:42,214 Stage-2 map = 96%, reduce = 0%
2013-09-10 20:44:44,222 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:45,227 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:46,231 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:47,236 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:48,240 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:49,244 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:50,249 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:51,254 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 23.57 sec
2013-09-10 20:44:52,259 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 23.57 sec
2013-09-10 20:44:53,265 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.62 sec
2013-09-10 20:44:54,271 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.03 sec
2013-09-10 20:44:55,276 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.03 sec
2013-09-10 20:44:56,282 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.03 sec
MapReduce Total cumulative CPU time: 28 seconds 30 msec
Ended Job = job_201309101627_0180
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 89.72 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 28.03 sec HDFS Read: 146210123 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 57 seconds 750 msec
OK
Time taken: 80.369 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_14245@mturlrep13_201309102044_1237091624.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_14650@mturlrep13_201309102045_372590589.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_0181
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:45:10,380 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:45:17,409 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:45:22,436 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:23,444 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:24,451 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:25,459 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:26,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:27,472 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:28,478 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.02 sec
2013-09-10 20:45:29,486 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 34.02 sec
2013-09-10 20:45:30,493 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 34.02 sec
2013-09-10 20:45:31,499 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 34.02 sec
2013-09-10 20:45:32,505 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.02 sec
2013-09-10 20:45:33,510 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 50.52 sec
2013-09-10 20:45:34,516 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:35,521 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:36,526 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:37,531 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:38,537 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:39,543 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:40,549 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:41,555 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:42,561 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:43,566 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.88 sec
2013-09-10 20:45:44,572 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 68.88 sec
2013-09-10 20:45:45,578 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 68.88 sec
2013-09-10 20:45:46,585 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.92 sec
2013-09-10 20:45:47,591 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.92 sec
2013-09-10 20:45:48,597 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 89.92 sec
MapReduce Total cumulative CPU time: 1 minutes 29 seconds 920 msec
Ended Job = job_201309101627_0181
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_0182
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:45:52,108 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:46:02,139 Stage-2 map = 46%, reduce = 0%
2013-09-10 20:46:05,147 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:46:08,156 Stage-2 map = 96%, reduce = 0%
2013-09-10 20:46:10,163 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:11,168 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:12,173 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:13,177 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:14,181 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:15,186 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:16,190 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:17,195 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 24.28 sec
2013-09-10 20:46:18,200 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.28 sec
2013-09-10 20:46:19,205 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.28 sec
2013-09-10 20:46:20,210 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 24.28 sec
2013-09-10 20:46:21,215 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.79 sec
2013-09-10 20:46:22,220 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 28.79 sec
MapReduce Total cumulative CPU time: 28 seconds 790 msec
Ended Job = job_201309101627_0182
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 89.92 sec HDFS Read: 84536695 HDFS Write: 146202868 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 28.79 sec HDFS Read: 146210123 HDFS Write: 256 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 58 seconds 710 msec
OK
Time taken: 80.288 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_17569@mturlrep13_201309102046_1421699291.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_17985@mturlrep13_201309102046_1356986531.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_0183
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:46:44,167 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:46:51,195 Stage-1 map = 32%, reduce = 0%
2013-09-10 20:46:54,211 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 18.03 sec
2013-09-10 20:46:55,217 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 18.03 sec
2013-09-10 20:46:56,226 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 26.65 sec
2013-09-10 20:46:57,232 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:46:58,239 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:46:59,246 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:47:00,252 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:47:01,259 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:47:02,265 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:47:03,271 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 33.42 sec
2013-09-10 20:47:04,276 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.42 sec
2013-09-10 20:47:05,281 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.42 sec
2013-09-10 20:47:06,287 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 33.42 sec
2013-09-10 20:47:07,292 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.42 sec
2013-09-10 20:47:08,297 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 33.42 sec
2013-09-10 20:47:09,302 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:10,307 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:11,312 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:12,317 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:13,323 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:14,328 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:15,333 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 66.29 sec
2013-09-10 20:47:16,340 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 75.8 sec
2013-09-10 20:47:17,346 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 75.8 sec
2013-09-10 20:47:18,352 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 75.8 sec
MapReduce Total cumulative CPU time: 1 minutes 15 seconds 800 msec
Ended Job = job_201309101627_0183
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 75.8 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 15 seconds 800 msec
OK
Time taken: 44.05 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_19485@mturlrep13_201309102047_352390381.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_19906@mturlrep13_201309102047_307105282.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_0184
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:47:32,371 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:47:39,398 Stage-1 map = 39%, reduce = 0%
2013-09-10 20:47:42,409 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:47:43,421 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 17.21 sec
2013-09-10 20:47:44,427 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:45,435 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:46,441 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:47,448 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:48,454 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:49,460 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:50,465 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.34 sec
2013-09-10 20:47:51,470 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 35.34 sec
2013-09-10 20:47:52,476 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 35.34 sec
2013-09-10 20:47:53,483 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 55.87 sec
2013-09-10 20:47:54,488 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 55.87 sec
2013-09-10 20:47:55,494 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 60.92 sec
2013-09-10 20:47:56,499 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:47:57,504 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:47:58,508 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:47:59,513 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:48:00,519 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:48:01,524 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:48:02,530 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 69.81 sec
2013-09-10 20:48:03,537 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 77.42 sec
2013-09-10 20:48:04,544 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 77.42 sec
2013-09-10 20:48:05,549 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 77.42 sec
MapReduce Total cumulative CPU time: 1 minutes 17 seconds 420 msec
Ended Job = job_201309101627_0184
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 77.42 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 17 seconds 420 msec
OK
Time taken: 41.574 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_21404@mturlrep13_201309102048_126554804.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_21810@mturlrep13_201309102048_1454592884.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_0185
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:48:18,529 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:48:26,558 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:48:30,578 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:31,586 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:32,594 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:33,601 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:34,606 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:35,613 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:36,618 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:37,623 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 35.15 sec
2013-09-10 20:48:38,632 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 35.15 sec
2013-09-10 20:48:39,638 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 35.15 sec
2013-09-10 20:48:40,654 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 35.15 sec
2013-09-10 20:48:41,660 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 35.15 sec
2013-09-10 20:48:42,665 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 50.57 sec
2013-09-10 20:48:43,670 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.89 sec
2013-09-10 20:48:44,675 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.89 sec
2013-09-10 20:48:45,680 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.89 sec
2013-09-10 20:48:46,690 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 68.89 sec
2013-09-10 20:48:47,695 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.89 sec
2013-09-10 20:48:48,701 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.89 sec
2013-09-10 20:48:49,706 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.89 sec
2013-09-10 20:48:50,711 Stage-1 map = 100%, reduce = 21%, Cumulative CPU 68.89 sec
2013-09-10 20:48:51,718 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 78.48 sec
2013-09-10 20:48:52,724 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 78.48 sec
MapReduce Total cumulative CPU time: 1 minutes 18 seconds 480 msec
Ended Job = job_201309101627_0185
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 78.48 sec HDFS Read: 84536695 HDFS Write: 889 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 18 seconds 480 msec
OK
Time taken: 41.516 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_23317@mturlrep13_201309102048_633775434.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_23745@mturlrep13_201309102049_424444339.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_0186
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:49:13,392 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:49:20,429 Stage-1 map = 7%, reduce = 0%
2013-09-10 20:49:23,442 Stage-1 map = 22%, reduce = 0%
2013-09-10 20:49:26,455 Stage-1 map = 29%, reduce = 0%
2013-09-10 20:49:29,469 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:49:32,480 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:49:34,495 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:35,502 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:36,510 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:37,517 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:38,523 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:39,529 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:40,534 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 54.74 sec
2013-09-10 20:49:41,540 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:42,545 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:43,551 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:44,557 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:45,562 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:46,567 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:47,571 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:48,576 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:49,581 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:50,585 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:51,590 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:52,596 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 54.74 sec
2013-09-10 20:49:53,603 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 104.41 sec
2013-09-10 20:49:54,608 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.4 sec
2013-09-10 20:49:55,613 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.4 sec
2013-09-10 20:49:56,619 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 109.4 sec
2013-09-10 20:49:57,624 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 109.4 sec
2013-09-10 20:49:58,630 Stage-1 map = 100%, reduce = 29%, Cumulative CPU 109.4 sec
2013-09-10 20:49:59,636 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 109.4 sec
2013-09-10 20:50:00,642 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 109.4 sec
2013-09-10 20:50:01,648 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 109.4 sec
2013-09-10 20:50:02,654 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 109.4 sec
2013-09-10 20:50:03,660 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 109.4 sec
2013-09-10 20:50:04,665 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 109.4 sec
2013-09-10 20:50:06,204 Stage-1 map = 100%, reduce = 72%, Cumulative CPU 109.4 sec
2013-09-10 20:50:07,210 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 109.4 sec
2013-09-10 20:50:08,216 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 109.4 sec
2013-09-10 20:50:09,222 Stage-1 map = 100%, reduce = 79%, Cumulative CPU 109.4 sec
2013-09-10 20:50:10,228 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 109.4 sec
2013-09-10 20:50:11,233 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 109.4 sec
2013-09-10 20:50:12,238 Stage-1 map = 100%, reduce = 87%, Cumulative CPU 109.4 sec
2013-09-10 20:50:13,245 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 109.4 sec
2013-09-10 20:50:14,251 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 128.24 sec
2013-09-10 20:50:15,258 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.79 sec
2013-09-10 20:50:16,263 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 147.79 sec
MapReduce Total cumulative CPU time: 2 minutes 27 seconds 790 msec
Ended Job = job_201309101627_0186
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_0187
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:50:19,831 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:50:32,871 Stage-2 map = 28%, reduce = 0%
2013-09-10 20:50:38,890 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:50:48,919 Stage-2 map = 78%, reduce = 0%
2013-09-10 20:50:56,946 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:50:57,951 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:50:58,956 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:50:59,960 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:00,964 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:01,968 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:02,972 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:03,977 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:04,980 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:05,984 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.44 sec
2013-09-10 20:51:06,989 Stage-2 map = 100%, reduce = 67%, Cumulative CPU 43.44 sec
2013-09-10 20:51:07,994 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.97 sec
2013-09-10 20:51:08,999 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.97 sec
2013-09-10 20:51:10,004 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.97 sec
MapReduce Total cumulative CPU time: 49 seconds 970 msec
Ended Job = job_201309101627_0187
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 147.79 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 49.97 sec HDFS Read: 241349358 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 17 seconds 760 msec
OK
Time taken: 126.359 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_26780@mturlrep13_201309102051_75093307.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_27199@mturlrep13_201309102051_564952806.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_0188
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:51:23,085 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:51:31,119 Stage-1 map = 11%, reduce = 0%
2013-09-10 20:51:34,132 Stage-1 map = 22%, reduce = 0%
2013-09-10 20:51:37,144 Stage-1 map = 29%, reduce = 0%
2013-09-10 20:51:40,158 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:51:43,177 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:44,183 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:45,190 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:46,196 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:47,202 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:48,230 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:49,236 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.96 sec
2013-09-10 20:51:50,242 Stage-1 map = 54%, reduce = 8%, Cumulative CPU 52.96 sec
2013-09-10 20:51:51,247 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.96 sec
2013-09-10 20:51:52,253 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.96 sec
2013-09-10 20:51:53,259 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:54,265 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:55,271 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:56,276 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:57,282 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:58,288 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:51:59,294 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:52:00,300 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:52:01,305 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 81.09 sec
2013-09-10 20:52:02,311 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 95.63 sec
2013-09-10 20:52:03,315 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 95.63 sec
2013-09-10 20:52:04,320 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 109.67 sec
2013-09-10 20:52:05,325 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 109.67 sec
2013-09-10 20:52:06,330 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 109.67 sec
2013-09-10 20:52:07,334 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 109.67 sec
2013-09-10 20:52:08,339 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 109.67 sec
2013-09-10 20:52:09,344 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 109.67 sec
2013-09-10 20:52:10,349 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 109.67 sec
2013-09-10 20:52:11,355 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 109.67 sec
2013-09-10 20:52:12,360 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 109.67 sec
2013-09-10 20:52:13,366 Stage-1 map = 100%, reduce = 74%, Cumulative CPU 109.67 sec
2013-09-10 20:52:14,371 Stage-1 map = 100%, reduce = 78%, Cumulative CPU 109.67 sec
2013-09-10 20:52:15,377 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 109.67 sec
2013-09-10 20:52:16,382 Stage-1 map = 100%, reduce = 82%, Cumulative CPU 109.67 sec
2013-09-10 20:52:17,388 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 109.67 sec
2013-09-10 20:52:18,393 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 109.67 sec
2013-09-10 20:52:19,399 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 109.67 sec
2013-09-10 20:52:20,404 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 109.67 sec
2013-09-10 20:52:21,410 Stage-1 map = 100%, reduce = 97%, Cumulative CPU 109.67 sec
2013-09-10 20:52:22,417 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 148.66 sec
2013-09-10 20:52:23,428 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 148.66 sec
2013-09-10 20:52:24,433 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 148.66 sec
MapReduce Total cumulative CPU time: 2 minutes 28 seconds 660 msec
Ended Job = job_201309101627_0188
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_0189
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:52:27,956 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:52:40,999 Stage-2 map = 28%, reduce = 0%
2013-09-10 20:52:47,512 Stage-2 map = 50%, reduce = 0%
2013-09-10 20:52:53,533 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:54,538 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:55,543 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:56,548 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:57,552 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:58,557 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:52:59,561 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:53:00,565 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:53:01,569 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:53:02,573 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 31.33 sec
2013-09-10 20:53:03,577 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:04,582 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:05,587 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:06,591 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:07,596 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:08,600 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:09,604 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:10,609 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:11,613 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:12,617 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:13,621 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 43.09 sec
2013-09-10 20:53:14,636 Stage-2 map = 100%, reduce = 68%, Cumulative CPU 43.09 sec
2013-09-10 20:53:15,641 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.5 sec
2013-09-10 20:53:16,645 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.5 sec
2013-09-10 20:53:17,650 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 49.5 sec
MapReduce Total cumulative CPU time: 49 seconds 500 msec
Ended Job = job_201309101627_0189
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 148.66 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 49.5 sec HDFS Read: 241349358 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 18 seconds 160 msec
OK
Time taken: 121.853 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_29500@mturlrep13_201309102053_2142354545.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_29928@mturlrep13_201309102053_368055123.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_0190
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:53:30,426 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:53:38,459 Stage-1 map = 14%, reduce = 0%
2013-09-10 20:53:41,471 Stage-1 map = 22%, reduce = 0%
2013-09-10 20:53:44,485 Stage-1 map = 32%, reduce = 0%
2013-09-10 20:53:47,498 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:53:50,516 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:51,523 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:52,538 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:53,544 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:54,550 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:55,556 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:56,562 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 52.53 sec
2013-09-10 20:53:57,568 Stage-1 map = 57%, reduce = 8%, Cumulative CPU 52.53 sec
2013-09-10 20:53:58,574 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:53:59,579 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:00,585 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:01,592 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:02,598 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:03,604 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:04,610 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:05,616 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:06,622 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:07,628 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 52.53 sec
2013-09-10 20:54:08,634 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 77.54 sec
2013-09-10 20:54:09,640 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 77.54 sec
2013-09-10 20:54:10,645 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 104.77 sec
2013-09-10 20:54:11,650 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 104.77 sec
2013-09-10 20:54:12,655 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 104.77 sec
2013-09-10 20:54:13,661 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 104.77 sec
2013-09-10 20:54:14,666 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 104.77 sec
2013-09-10 20:54:15,671 Stage-1 map = 100%, reduce = 50%, Cumulative CPU 104.77 sec
2013-09-10 20:54:16,677 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 104.77 sec
2013-09-10 20:54:17,682 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 104.77 sec
2013-09-10 20:54:18,688 Stage-1 map = 100%, reduce = 70%, Cumulative CPU 104.77 sec
2013-09-10 20:54:19,693 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 104.77 sec
2013-09-10 20:54:20,699 Stage-1 map = 100%, reduce = 73%, Cumulative CPU 104.77 sec
2013-09-10 20:54:21,704 Stage-1 map = 100%, reduce = 77%, Cumulative CPU 104.77 sec
2013-09-10 20:54:23,614 Stage-1 map = 100%, reduce = 81%, Cumulative CPU 104.77 sec
2013-09-10 20:54:24,620 Stage-1 map = 100%, reduce = 84%, Cumulative CPU 104.77 sec
2013-09-10 20:54:25,626 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 104.77 sec
2013-09-10 20:54:26,632 Stage-1 map = 100%, reduce = 86%, Cumulative CPU 104.77 sec
2013-09-10 20:54:27,638 Stage-1 map = 100%, reduce = 90%, Cumulative CPU 104.77 sec
2013-09-10 20:54:28,643 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 104.77 sec
2013-09-10 20:54:29,649 Stage-1 map = 100%, reduce = 95%, Cumulative CPU 104.77 sec
2013-09-10 20:54:30,656 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 146.68 sec
2013-09-10 20:54:31,662 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 146.68 sec
MapReduce Total cumulative CPU time: 2 minutes 26 seconds 680 msec
Ended Job = job_201309101627_0190
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_0191
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:54:35,128 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:54:48,165 Stage-2 map = 28%, reduce = 0%
2013-09-10 20:54:54,183 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:54:55,188 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:54:56,192 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:54:57,197 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:54:58,202 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:54:59,207 Stage-2 map = 50%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:00,211 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:01,216 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:02,220 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:03,224 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:04,229 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:05,233 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:06,238 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:07,242 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:08,247 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:09,251 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:10,256 Stage-2 map = 78%, reduce = 0%, Cumulative CPU 20.36 sec
2013-09-10 20:55:11,261 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:12,265 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:13,270 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:14,274 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:15,286 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:16,291 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:17,296 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:18,301 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:19,307 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:20,311 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 42.54 sec
2013-09-10 20:55:21,316 Stage-2 map = 100%, reduce = 69%, Cumulative CPU 42.54 sec
2013-09-10 20:55:22,321 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 48.86 sec
2013-09-10 20:55:23,326 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 48.86 sec
2013-09-10 20:55:24,330 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 48.86 sec
MapReduce Total cumulative CPU time: 48 seconds 860 msec
Ended Job = job_201309101627_0191
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 146.68 sec HDFS Read: 84944733 HDFS Write: 241346048 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 48.86 sec HDFS Read: 241349358 HDFS Write: 268 SUCCESS
Total MapReduce CPU Time Spent: 3 minutes 15 seconds 540 msec
OK
Time taken: 121.047 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_506@mturlrep13_201309102055_4203966.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_956@mturlrep13_201309102055_26161103.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_0192
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-10 20:55:43,857 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:55:48,887 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:55:49,894 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:55:50,902 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:55:51,908 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:55:52,914 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:55:53,920 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.27 sec
2013-09-10 20:55:54,925 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.27 sec
2013-09-10 20:55:55,931 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.27 sec
MapReduce Total cumulative CPU time: 15 seconds 270 msec
Ended Job = job_201309101627_0192
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.27 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 270 msec
OK
Time taken: 21.635 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_2371@mturlrep13_201309102055_813101102.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_2777@mturlrep13_201309102056_2011806893.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_0193
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-10 20:56:09,574 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:56:13,596 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:56:14,604 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:56:15,610 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:56:16,616 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.59 sec
2013-09-10 20:56:17,621 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 11.18 sec
2013-09-10 20:56:18,626 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.35 sec
2013-09-10 20:56:19,632 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.35 sec
MapReduce Total cumulative CPU time: 15 seconds 350 msec
Ended Job = job_201309101627_0193
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.35 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 350 msec
OK
Time taken: 18.086 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_3888@mturlrep13_201309102056_1592116097.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_4301@mturlrep13_201309102056_499033559.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_0194
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 0
2013-09-10 20:56:32,600 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:56:37,626 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.67 sec
2013-09-10 20:56:38,633 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.67 sec
2013-09-10 20:56:39,640 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.67 sec
2013-09-10 20:56:40,645 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 7.67 sec
2013-09-10 20:56:41,651 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.06 sec
2013-09-10 20:56:42,656 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 15.06 sec
2013-09-10 20:56:43,661 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 15.06 sec
MapReduce Total cumulative CPU time: 15 seconds 60 msec
Ended Job = job_201309101627_0194
MapReduce Jobs Launched:
Job 0: Map: 4 Cumulative CPU: 15.06 sec HDFS Read: 57312623 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 15 seconds 60 msec
OK
Time taken: 18.296 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_5720@mturlrep13_201309102056_94435251.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_6130@mturlrep13_201309102056_174777183.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_0195
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:57:03,409 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:57:10,436 Stage-1 map = 43%, reduce = 0%
2013-09-10 20:57:11,449 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:12,456 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:13,463 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:14,468 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:15,474 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:16,480 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:17,486 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.79 sec
2013-09-10 20:57:18,492 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 17.79 sec
2013-09-10 20:57:19,497 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.67 sec
2013-09-10 20:57:20,502 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.67 sec
2013-09-10 20:57:21,506 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.67 sec
2013-09-10 20:57:22,511 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.67 sec
2013-09-10 20:57:23,517 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.67 sec
2013-09-10 20:57:24,524 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.81 sec
2013-09-10 20:57:25,529 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 37.81 sec
MapReduce Total cumulative CPU time: 37 seconds 810 msec
Ended Job = job_201309101627_0195
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 37.81 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 37 seconds 810 msec
OK
8428
Time taken: 32.044 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_7386@mturlrep13_201309102057_110374524.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_7806@mturlrep13_201309102057_1983544680.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_0196
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:57:38,517 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:57:46,554 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:47,562 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:48,570 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:49,576 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:50,582 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:51,588 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:52,594 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 17.33 sec
2013-09-10 20:57:53,601 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:54,605 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:55,610 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:56,615 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:57,620 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:58,625 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.87 sec
2013-09-10 20:57:59,632 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.29 sec
2013-09-10 20:58:00,637 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.29 sec
MapReduce Total cumulative CPU time: 36 seconds 290 msec
Ended Job = job_201309101627_0196
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 36.29 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 36 seconds 290 msec
OK
8428
Time taken: 29.413 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_9045@mturlrep13_201309102058_1522105504.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_9464@mturlrep13_201309102058_1256270560.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_0197
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 20:58:13,484 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:58:21,525 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:22,534 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:23,540 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:24,546 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:25,551 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:26,556 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:27,562 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.01 sec
2013-09-10 20:58:28,568 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:29,572 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:30,577 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:31,582 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:32,587 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:33,591 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.97 sec
2013-09-10 20:58:34,599 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.93 sec
2013-09-10 20:58:35,604 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.93 sec
MapReduce Total cumulative CPU time: 36 seconds 930 msec
Ended Job = job_201309101627_0197
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 36.93 sec HDFS Read: 109451651 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 36 seconds 930 msec
OK
8428
Time taken: 29.432 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_10706@mturlrep13_201309102058_1880832226.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_11132@mturlrep13_201309102058_286164766.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_0198
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:58:55,183 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:59:02,210 Stage-1 map = 36%, reduce = 0%
2013-09-10 20:59:03,222 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:04,230 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:05,237 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:06,243 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:07,248 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:08,253 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:09,258 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:10,265 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.12 sec
2013-09-10 20:59:11,270 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 19.12 sec
2013-09-10 20:59:12,276 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.14 sec
2013-09-10 20:59:13,281 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.14 sec
2013-09-10 20:59:14,286 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.14 sec
2013-09-10 20:59:15,291 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.14 sec
2013-09-10 20:59:16,296 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.14 sec
2013-09-10 20:59:17,304 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.42 sec
2013-09-10 20:59:18,311 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.42 sec
MapReduce Total cumulative CPU time: 42 seconds 420 msec
Ended Job = job_201309101627_0198
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_0199
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 20:59:20,834 Stage-2 map = 0%, reduce = 0%
2013-09-10 20:59:22,842 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:23,847 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:24,852 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:25,856 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:26,860 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:27,865 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:28,870 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.78 sec
2013-09-10 20:59:29,875 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.78 sec
2013-09-10 20:59:30,881 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
2013-09-10 20:59:31,886 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
MapReduce Total cumulative CPU time: 2 seconds 170 msec
Ended Job = job_201309101627_0199
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 42.42 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.17 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 590 msec
OK
Time taken: 46.47 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_13069@mturlrep13_201309102059_1992501004.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_13485@mturlrep13_201309102059_1401379353.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_0200
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 20:59:44,971 Stage-1 map = 0%, reduce = 0%
2013-09-10 20:59:53,007 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:54,015 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:55,023 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:56,030 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:57,036 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:58,042 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 20:59:59,048 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 21:00:00,055 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.27 sec
2013-09-10 21:00:01,061 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.85 sec
2013-09-10 21:00:02,067 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.85 sec
2013-09-10 21:00:03,072 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.85 sec
2013-09-10 21:00:04,078 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.85 sec
2013-09-10 21:00:05,083 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 36.85 sec
2013-09-10 21:00:06,091 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 38.79 sec
2013-09-10 21:00:07,097 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.76 sec
2013-09-10 21:00:08,103 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 40.76 sec
MapReduce Total cumulative CPU time: 40 seconds 760 msec
Ended Job = job_201309101627_0200
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_0201
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 21:00:10,622 Stage-2 map = 0%, reduce = 0%
2013-09-10 21:00:12,630 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:13,635 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:14,640 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:15,645 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:16,650 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:17,655 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:18,661 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.79 sec
2013-09-10 21:00:19,666 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.79 sec
2013-09-10 21:00:20,675 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
2013-09-10 21:00:21,680 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.17 sec
MapReduce Total cumulative CPU time: 2 seconds 170 msec
Ended Job = job_201309101627_0201
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 40.76 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.17 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 930 msec
OK
Time taken: 44.122 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_16145@mturlrep13_201309102100_902755262.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_16578@mturlrep13_201309102100_20618285.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_0202
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 21:00:35,897 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:00:42,923 Stage-1 map = 36%, reduce = 0%
2013-09-10 21:00:43,936 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:44,944 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:45,953 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:46,959 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:47,965 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:48,971 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:49,977 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.83 sec
2013-09-10 21:00:50,984 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-10 21:00:51,989 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-10 21:00:52,995 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.24 sec
2013-09-10 21:00:54,000 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.51 sec
2013-09-10 21:00:55,006 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.51 sec
2013-09-10 21:00:56,012 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.51 sec
2013-09-10 21:00:57,019 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.27 sec
2013-09-10 21:00:58,025 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.27 sec
2013-09-10 21:00:59,031 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 41.27 sec
MapReduce Total cumulative CPU time: 41 seconds 270 msec
Ended Job = job_201309101627_0202
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_0203
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 21:01:01,551 Stage-2 map = 0%, reduce = 0%
2013-09-10 21:01:03,560 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:04,565 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:05,571 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:06,576 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:07,581 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:08,586 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:09,591 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:01:10,596 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.74 sec
2013-09-10 21:01:11,602 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
2013-09-10 21:01:12,607 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
2013-09-10 21:01:13,612 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.13 sec
MapReduce Total cumulative CPU time: 2 seconds 130 msec
Ended Job = job_201309101627_0203
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 41.27 sec HDFS Read: 136675723 HDFS Write: 5172 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.13 sec HDFS Read: 5941 HDFS Write: 984 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 400 msec
OK
Time taken: 46.136 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_18552@mturlrep13_201309102101_957503081.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_18999@mturlrep13_201309102101_604919900.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_0204
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 21:01:34,309 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:01:41,339 Stage-1 map = 22%, reduce = 0%
2013-09-10 21:01:44,352 Stage-1 map = 43%, reduce = 0%
2013-09-10 21:01:45,365 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:46,373 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:47,381 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:48,388 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:49,395 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:50,402 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:51,408 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.13 sec
2013-09-10 21:01:52,414 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.13 sec
2013-09-10 21:01:53,420 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 24.13 sec
2013-09-10 21:01:54,426 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 43.07 sec
2013-09-10 21:01:55,433 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 46.23 sec
2013-09-10 21:01:56,439 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 50.07 sec
2013-09-10 21:01:57,446 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 50.07 sec
2013-09-10 21:01:58,454 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.11 sec
2013-09-10 21:01:59,460 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.11 sec
2013-09-10 21:02:00,466 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 53.11 sec
MapReduce Total cumulative CPU time: 53 seconds 110 msec
Ended Job = job_201309101627_0204
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_0205
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 21:02:04,015 Stage-2 map = 0%, reduce = 0%
2013-09-10 21:02:05,020 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:06,026 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:07,032 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:08,036 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:09,041 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:10,046 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:11,051 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:12,056 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.91 sec
2013-09-10 21:02:13,077 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.29 sec
2013-09-10 21:02:14,084 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.29 sec
2013-09-10 21:02:15,089 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.29 sec
MapReduce Total cumulative CPU time: 2 seconds 290 msec
Ended Job = job_201309101627_0205
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 53.11 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.29 sec HDFS Read: 12990 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 55 seconds 400 msec
OK
Time taken: 50.819 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_21073@mturlrep13_201309102102_804313256.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_21509@mturlrep13_201309102102_1172673920.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_0206
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 21:02:29,084 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:02:36,113 Stage-1 map = 29%, reduce = 0%
2013-09-10 21:02:39,134 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:40,142 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:41,150 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:42,156 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:43,163 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:44,170 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:45,176 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.74 sec
2013-09-10 21:02:46,181 Stage-1 map = 64%, reduce = 8%, Cumulative CPU 24.74 sec
2013-09-10 21:02:47,186 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.74 sec
2013-09-10 21:02:48,192 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.74 sec
2013-09-10 21:02:49,197 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.69 sec
2013-09-10 21:02:50,203 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.69 sec
2013-09-10 21:02:51,208 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.69 sec
2013-09-10 21:02:52,215 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.98 sec
2013-09-10 21:02:53,222 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.98 sec
2013-09-10 21:02:54,227 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.98 sec
MapReduce Total cumulative CPU time: 52 seconds 980 msec
Ended Job = job_201309101627_0206
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_0207
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 21:02:58,034 Stage-2 map = 0%, reduce = 0%
2013-09-10 21:02:59,039 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:00,045 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:01,050 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:02,055 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:03,061 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:04,066 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:05,071 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:06,095 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.74 sec
2013-09-10 21:03:07,100 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
2013-09-10 21:03:08,106 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
2013-09-10 21:03:09,112 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.16 sec
MapReduce Total cumulative CPU time: 2 seconds 160 msec
Ended Job = job_201309101627_0207
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 52.98 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.16 sec HDFS Read: 12990 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 55 seconds 140 msec
OK
Time taken: 48.425 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_23586@mturlrep13_201309102103_1680692530.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_23990@mturlrep13_201309102103_1640399179.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_0208
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 21:03:23,428 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:03:30,457 Stage-1 map = 29%, reduce = 0%
2013-09-10 21:03:33,485 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:34,492 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:35,500 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:36,507 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:37,513 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:38,521 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:39,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:40,532 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 24.39 sec
2013-09-10 21:03:41,538 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.39 sec
2013-09-10 21:03:42,544 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 24.39 sec
2013-09-10 21:03:43,550 Stage-1 map = 89%, reduce = 17%, Cumulative CPU 35.95 sec
2013-09-10 21:03:44,556 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.76 sec
2013-09-10 21:03:45,562 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 48.76 sec
2013-09-10 21:03:46,570 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 50.88 sec
2013-09-10 21:03:47,576 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.9 sec
2013-09-10 21:03:48,582 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 52.9 sec
MapReduce Total cumulative CPU time: 52 seconds 900 msec
Ended Job = job_201309101627_0208
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_0209
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 21:03:52,133 Stage-2 map = 0%, reduce = 0%
2013-09-10 21:03:53,139 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:54,145 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:55,151 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:56,158 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:57,164 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:58,169 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:03:59,174 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:04:00,179 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.85 sec
2013-09-10 21:04:01,185 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
2013-09-10 21:04:02,190 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
2013-09-10 21:04:03,196 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.23 sec
MapReduce Total cumulative CPU time: 2 seconds 230 msec
Ended Job = job_201309101627_0209
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 52.9 sec HDFS Read: 298803179 HDFS Write: 12221 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.23 sec HDFS Read: 12990 HDFS Write: 2646 SUCCESS
Total MapReduce CPU Time Spent: 55 seconds 130 msec
OK
Time taken: 48.259 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_26079@mturlrep13_201309102104_979944715.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_26503@mturlrep13_201309102104_1111113065.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_0210
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:04:24,063 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:04:34,103 Stage-1 map = 7%, reduce = 0%
2013-09-10 21:04:37,115 Stage-1 map = 14%, reduce = 0%
2013-09-10 21:04:40,129 Stage-1 map = 22%, reduce = 0%
2013-09-10 21:04:43,157 Stage-1 map = 29%, reduce = 0%
2013-09-10 21:04:49,179 Stage-1 map = 36%, reduce = 0%
2013-09-10 21:04:52,190 Stage-1 map = 43%, reduce = 0%
2013-09-10 21:04:54,206 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 83.32 sec
2013-09-10 21:04:55,213 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:04:56,219 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:04:57,225 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:04:58,230 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:04:59,241 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:05:00,250 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:05:01,256 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 87.85 sec
2013-09-10 21:05:02,262 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:03,268 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:04,274 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:05,302 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:06,307 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:07,312 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:08,317 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:09,322 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:10,328 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:11,333 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:12,338 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:13,343 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:14,348 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:15,354 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:16,367 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:17,373 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:18,377 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:19,382 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:20,387 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:21,392 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:22,397 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 87.85 sec
2013-09-10 21:05:23,401 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 129.86 sec
2013-09-10 21:05:24,406 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 129.86 sec
2013-09-10 21:05:25,411 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 167.87 sec
2013-09-10 21:05:26,416 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 167.87 sec
2013-09-10 21:05:27,422 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 171.01 sec
2013-09-10 21:05:28,427 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 171.01 sec
2013-09-10 21:05:29,433 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 171.01 sec
MapReduce Total cumulative CPU time: 2 minutes 51 seconds 10 msec
Ended Job = job_201309101627_0210
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 171.01 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 51 seconds 10 msec
OK
Time taken: 75.657 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_28589@mturlrep13_201309102105_518152082.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_28997@mturlrep13_201309102105_1789871872.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_0211
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:05:43,799 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:05:50,827 Stage-1 map = 7%, reduce = 0%
2013-09-10 21:05:56,854 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:05:57,861 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:05:58,868 Stage-1 map = 14%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:05:59,891 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:00,897 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:01,902 Stage-1 map = 22%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:02,907 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:03,912 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:04,917 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:05,922 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:06,927 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:07,932 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:08,937 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:09,942 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:10,947 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 27.49 sec
2013-09-10 21:06:11,956 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:12,962 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:13,967 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:14,973 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:15,979 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:16,985 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:17,991 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:18,997 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.55 sec
2013-09-10 21:06:20,003 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:21,009 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:22,015 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:23,020 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:24,031 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:25,037 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:26,042 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:27,047 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:28,053 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:29,075 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:30,080 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:31,085 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:32,090 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:33,096 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:34,101 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:35,106 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:36,111 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:37,116 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:38,121 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 74.55 sec
2013-09-10 21:06:39,126 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 114.8 sec
2013-09-10 21:06:40,132 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 114.8 sec
2013-09-10 21:06:41,137 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.73 sec
2013-09-10 21:06:42,142 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.73 sec
2013-09-10 21:06:43,147 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.73 sec
2013-09-10 21:06:44,152 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.73 sec
2013-09-10 21:06:45,158 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 152.73 sec
2013-09-10 21:06:46,165 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 155.83 sec
2013-09-10 21:06:47,170 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 155.83 sec
MapReduce Total cumulative CPU time: 2 minutes 35 seconds 830 msec
Ended Job = job_201309101627_0211
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 155.83 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 35 seconds 830 msec
OK
Time taken: 72.161 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_30422@mturlrep13_201309102106_1368463100.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_30864@mturlrep13_201309102106_502369015.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_0212
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:07:00,709 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:07:11,769 Stage-1 map = 7%, reduce = 0%
2013-09-10 21:07:14,794 Stage-1 map = 14%, reduce = 0%
2013-09-10 21:07:17,807 Stage-1 map = 22%, reduce = 0%
2013-09-10 21:07:20,819 Stage-1 map = 29%, reduce = 0%
2013-09-10 21:07:23,831 Stage-1 map = 32%, reduce = 0%
2013-09-10 21:07:26,842 Stage-1 map = 36%, reduce = 0%
2013-09-10 21:07:29,853 Stage-1 map = 43%, reduce = 0%
2013-09-10 21:07:30,865 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:31,872 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:32,877 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:33,883 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:34,888 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:35,893 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:36,898 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 74.26 sec
2013-09-10 21:07:37,903 Stage-1 map = 50%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:38,908 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:39,913 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:40,918 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:41,923 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:42,928 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:43,959 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:44,982 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:46,012 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:47,017 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:48,022 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:49,050 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:50,062 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:51,068 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:52,073 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:53,091 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:54,096 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 74.26 sec
2013-09-10 21:07:55,102 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 140.78 sec
2013-09-10 21:07:56,123 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 140.78 sec
2013-09-10 21:07:57,128 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 140.78 sec
2013-09-10 21:07:58,133 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 149.05 sec
2013-09-10 21:07:59,138 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 149.05 sec
2013-09-10 21:08:00,143 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 159.54 sec
2013-09-10 21:08:01,148 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 159.54 sec
2013-09-10 21:08:02,153 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 159.54 sec
2013-09-10 21:08:03,158 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 159.54 sec
2013-09-10 21:08:04,165 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 161.75 sec
2013-09-10 21:08:05,171 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 161.75 sec
2013-09-10 21:08:06,177 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 161.75 sec
MapReduce Total cumulative CPU time: 2 minutes 41 seconds 750 msec
Ended Job = job_201309101627_0212
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 161.75 sec HDFS Read: 1082943442 HDFS Write: 5318 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 41 seconds 750 msec
OK
Time taken: 73.239 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_32256@mturlrep13_201309102108_1366898564.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_32681@mturlrep13_201309102108_1470113641.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_0213
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:08:27,012 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:08:34,045 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:35,053 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:36,060 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:37,067 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:38,073 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:39,078 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:40,084 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:41,089 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.79 sec
2013-09-10 21:08:42,096 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 28.06 sec
2013-09-10 21:08:43,100 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:44,104 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:45,108 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:46,113 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:47,118 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:48,124 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.48 sec
2013-09-10 21:08:49,130 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.58 sec
2013-09-10 21:08:50,136 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.58 sec
2013-09-10 21:08:51,141 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.58 sec
MapReduce Total cumulative CPU time: 43 seconds 580 msec
Ended Job = job_201309101627_0213
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 43.58 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 580 msec
OK
Time taken: 33.927 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_1886@mturlrep13_201309102108_2113013029.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_2309@mturlrep13_201309102108_179448674.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_0214
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:09:04,342 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:09:12,378 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:13,392 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:14,406 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:15,411 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:16,417 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:17,422 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.06 sec
2013-09-10 21:09:18,428 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 27.59 sec
2013-09-10 21:09:19,434 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:20,439 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:21,444 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:22,450 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:23,455 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:24,460 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:25,465 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:26,470 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 37.52 sec
2013-09-10 21:09:27,476 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.58 sec
2013-09-10 21:09:28,481 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 42.58 sec
MapReduce Total cumulative CPU time: 42 seconds 580 msec
Ended Job = job_201309101627_0214
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 42.58 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 42 seconds 580 msec
OK
Time taken: 31.299 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_3670@mturlrep13_201309102109_1995808280.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_4075@mturlrep13_201309102109_1289626769.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_0215
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:09:42,640 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:09:49,676 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:50,683 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:51,690 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:52,696 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:53,703 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:54,710 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:55,716 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.1 sec
2013-09-10 21:09:56,722 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:09:57,728 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:09:58,733 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:09:59,738 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:10:00,744 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:10:01,750 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:10:02,756 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:10:03,783 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.3 sec
2013-09-10 21:10:04,790 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.5 sec
2013-09-10 21:10:05,796 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 43.5 sec
MapReduce Total cumulative CPU time: 43 seconds 500 msec
Ended Job = job_201309101627_0215
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 43.5 sec HDFS Read: 28228143 HDFS Write: 766 SUCCESS
Total MapReduce CPU Time Spent: 43 seconds 500 msec
OK
Time taken: 31.328 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_6065@mturlrep13_201309102110_1165648233.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_6867@mturlrep13_201309102110_1247268932.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_0216
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:10:27,797 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:10:34,833 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:35,841 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:36,848 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:37,854 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:38,860 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:39,866 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:40,872 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:41,878 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.67 sec
2013-09-10 21:10:42,884 Stage-1 map = 96%, reduce = 8%, Cumulative CPU 19.67 sec
2013-09-10 21:10:43,895 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 39.0 sec
2013-09-10 21:10:44,900 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 39.0 sec
2013-09-10 21:10:45,905 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:46,910 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:47,915 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:48,920 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:49,926 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:50,930 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 39.0 sec
2013-09-10 21:10:51,937 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.08 sec
2013-09-10 21:10:52,943 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 45.08 sec
MapReduce Total cumulative CPU time: 45 seconds 80 msec
Ended Job = job_201309101627_0216
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 45.08 sec HDFS Read: 27820105 HDFS Write: 666 SUCCESS
Total MapReduce CPU Time Spent: 45 seconds 80 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: 35.466 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_8346@mturlrep13_201309102110_1245725421.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_8754@mturlrep13_201309102110_1375499441.txt
hive> SELECT SearchPhrase FROM hits_10m WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;;
status
spawn hive
Logging initialized using configuration in file:/opt/hive/conf/hive-log4j.properties
Hive history file=/tmp/kartavyy/hive_job_log_kartavyy_8981@mturlrep13_201309102111_72221677.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_9402@mturlrep13_201309102111_58410451.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_0217
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:11:13,005 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:11:21,043 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:22,051 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:23,058 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:24,064 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:25,071 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:26,077 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:27,084 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 19.54 sec
2013-09-10 21:11:28,090 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 28.93 sec
2013-09-10 21:11:29,096 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:30,101 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:31,106 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:32,111 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:33,116 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:34,121 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:35,127 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 38.94 sec
2013-09-10 21:11:36,142 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 44.86 sec
2013-09-10 21:11:37,148 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 44.86 sec
2013-09-10 21:11:38,154 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 44.86 sec
MapReduce Total cumulative CPU time: 44 seconds 860 msec
Ended Job = job_201309101627_0217
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 44.86 sec HDFS Read: 27820105 HDFS Write: 666 SUCCESS
Total MapReduce CPU Time Spent: 44 seconds 860 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: 32.221 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_10685@mturlrep13_201309102111_636633590.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_11102@mturlrep13_201309102111_1946455694.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_0218
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 21:11:58,014 Stage-1 map = 0%, reduce = 0%
2013-09-10 21:12:05,044 Stage-1 map = 43%, reduce = 0%
2013-09-10 21:12:06,056 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:07,063 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:08,070 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:09,076 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:10,081 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:11,087 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:12,093 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:13,100 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 20.29 sec
2013-09-10 21:12:14,106 Stage-1 map = 97%, reduce = 8%, Cumulative CPU 30.09 sec
2013-09-10 21:12:15,112 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 40.62 sec
2013-09-10 21:12:16,118 Stage-1 map = 100%, reduce = 8%, Cumulative CPU 40.62 sec
2013-09-10 21:12:17,123 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:18,128 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:19,133 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:20,138 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:21,143 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:22,148 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 40.62 sec
2013-09-10 21:12:23,154 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 47.82 sec
status
spawn hive
restart server: /bin/echo restart
restart
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