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ClickHouse/dbms/benchmark/hive/log/log_10m/log_10m_2
Alexey Milovidov df1d66e51a Removed sensitive data.
2016-02-08 00:58:58 +03:00

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start time: Вт. сент. 10 18:46:00 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_15579@mturlrep13_201309101846_67163557.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_16038@mturlrep13_201309101846_623079473.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_0036
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:46:20,061 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:46:27,089 Stage-1 map = 7%, reduce = 0%
2013-09-10 18:46:33,113 Stage-1 map = 14%, reduce = 0%
2013-09-10 18:46:36,127 Stage-1 map = 22%, reduce = 0%
2013-09-10 18:46:39,143 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:40,149 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:41,156 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:42,162 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:43,168 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:44,174 Stage-1 map = 29%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:45,179 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:46,185 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:47,191 Stage-1 map = 36%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:48,197 Stage-1 map = 43%, reduce = 0%, Cumulative CPU 46.41 sec
2013-09-10 18:46:49,205 Stage-1 map = 47%, reduce = 0%, Cumulative CPU 62.51 sec
2013-09-10 18:46:50,211 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:51,217 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:52,222 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:53,227 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:54,233 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:55,238 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:56,244 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 83.95 sec
2013-09-10 18:46:57,250 Stage-1 map = 54%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:46:58,255 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:46:59,261 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:00,266 Stage-1 map = 57%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:01,272 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:02,277 Stage-1 map = 61%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:03,282 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:04,287 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:05,305 Stage-1 map = 65%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:06,310 Stage-1 map = 69%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:07,316 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:08,321 Stage-1 map = 73%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:09,326 Stage-1 map = 76%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:10,331 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:11,336 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:12,341 Stage-1 map = 84%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:13,346 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:14,351 Stage-1 map = 88%, reduce = 17%, Cumulative CPU 83.95 sec
2013-09-10 18:47:15,356 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 118.21 sec
2013-09-10 18:47:16,372 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 118.21 sec
2013-09-10 18:47:17,379 Stage-1 map = 93%, reduce = 17%, Cumulative CPU 118.21 sec
2013-09-10 18:47:18,384 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 118.21 sec
2013-09-10 18:47:19,388 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 162.76 sec
2013-09-10 18:47:20,393 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 162.76 sec
2013-09-10 18:47:21,397 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 162.76 sec
2013-09-10 18:47:22,404 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 165.27 sec
2013-09-10 18:47:23,410 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 165.27 sec
2013-09-10 18:47:24,415 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 165.27 sec
MapReduce Total cumulative CPU time: 2 minutes 45 seconds 270 msec
Ended Job = job_201309101627_0036
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 165.27 sec HDFS Read: 1082943442 HDFS Write: 9 SUCCESS
Total MapReduce CPU Time Spent: 2 minutes 45 seconds 270 msec
OK
10000000
Time taken: 74.228 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_17475@mturlrep13_201309101847_1783698271.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_17882@mturlrep13_201309101847_1295809350.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_0037
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:47:44,058 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:47:49,086 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 18:47:50,093 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 18:47:51,101 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 18:47:52,107 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 18:47:53,113 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.21 sec
2013-09-10 18:47:54,119 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 18.18 sec
2013-09-10 18:47:55,125 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.81 sec
2013-09-10 18:47:56,130 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.81 sec
2013-09-10 18:47:57,138 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.64 sec
2013-09-10 18:47:58,144 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.64 sec
2013-09-10 18:47:59,150 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 25.64 sec
MapReduce Total cumulative CPU time: 25 seconds 640 msec
Ended Job = job_201309101627_0037
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 25.64 sec HDFS Read: 907716 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 25 seconds 640 msec
OK
171127
Time taken: 25.153 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_19147@mturlrep13_201309101848_1891179156.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_19567@mturlrep13_201309101848_690102300.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_0038
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:48:18,837 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:48:25,865 Stage-1 map = 39%, reduce = 0%
2013-09-10 18:48:26,875 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:27,882 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:28,889 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:29,895 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:30,901 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:31,907 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:32,914 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 18.45 sec
2013-09-10 18:48:33,920 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.59 sec
2013-09-10 18:48:34,925 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.59 sec
2013-09-10 18:48:35,930 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.59 sec
2013-09-10 18:48:36,935 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.59 sec
2013-09-10 18:48:37,940 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 34.59 sec
2013-09-10 18:48:38,945 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 35.24 sec
2013-09-10 18:48:39,952 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.63 sec
2013-09-10 18:48:40,958 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 36.63 sec
MapReduce Total cumulative CPU time: 36 seconds 630 msec
Ended Job = job_201309101627_0038
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 36.63 sec HDFS Read: 8109219 HDFS Write: 30 SUCCESS
Total MapReduce CPU Time Spent: 36 seconds 630 msec
OK
Time taken: 31.961 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_20898@mturlrep13_201309101848_327652001.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_21336@mturlrep13_201309101848_1975614127.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_0039
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:49:00,561 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:49:07,617 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:08,626 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:09,634 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:10,639 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:11,646 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:12,652 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 15.12 sec
2013-09-10 18:49:13,658 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 21.86 sec
2013-09-10 18:49:14,664 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:15,670 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:16,675 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:17,680 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:18,685 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:19,690 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 30.08 sec
2013-09-10 18:49:20,697 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.07 sec
2013-09-10 18:49:21,703 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 32.07 sec
MapReduce Total cumulative CPU time: 32 seconds 70 msec
Ended Job = job_201309101627_0039
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 32.07 sec HDFS Read: 57312623 HDFS Write: 21 SUCCESS
Total MapReduce CPU Time Spent: 32 seconds 70 msec
OK
-4662894107982093709
Time taken: 30.94 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_22560@mturlrep13_201309101849_2023198520.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_22993@mturlrep13_201309101849_961728603.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_0040
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:49:41,232 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:49:48,264 Stage-1 map = 43%, reduce = 0%
2013-09-10 18:49:51,283 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:52,291 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:53,298 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:54,304 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:55,310 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:56,317 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:57,332 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 27.01 sec
2013-09-10 18:49:58,337 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.01 sec
2013-09-10 18:49:59,342 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.01 sec
2013-09-10 18:50:00,348 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 27.01 sec
2013-09-10 18:50:01,353 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:02,360 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:03,365 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:04,369 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:05,375 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:06,379 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 55.01 sec
2013-09-10 18:50:07,385 Stage-1 map = 100%, reduce = 88%, Cumulative CPU 55.01 sec
2013-09-10 18:50:08,391 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.95 sec
2013-09-10 18:50:09,397 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.95 sec
2013-09-10 18:50:10,402 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 62.95 sec
MapReduce Total cumulative CPU time: 1 minutes 2 seconds 950 msec
Ended Job = job_201309101627_0040
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 62.95 sec HDFS Read: 57312623 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 2 seconds 950 msec
OK
2037258
Time taken: 38.84 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_24634@mturlrep13_201309101850_840502487.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_25401@mturlrep13_201309101850_84750246.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_0041
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:50:31,472 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:50:38,501 Stage-1 map = 43%, reduce = 0%
2013-09-10 18:50:40,517 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:41,523 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:42,531 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:43,536 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:44,542 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:45,548 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:46,555 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 21.42 sec
2013-09-10 18:50:47,561 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 21.42 sec
2013-09-10 18:50:48,566 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 31.8 sec
2013-09-10 18:50:49,571 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:50,576 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:51,581 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:52,587 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:53,592 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:54,597 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:55,602 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 42.95 sec
2013-09-10 18:50:56,607 Stage-1 map = 100%, reduce = 92%, Cumulative CPU 42.95 sec
2013-09-10 18:50:57,615 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.6 sec
2013-09-10 18:50:58,642 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 50.6 sec
MapReduce Total cumulative CPU time: 50 seconds 600 msec
Ended Job = job_201309101627_0041
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 50.6 sec HDFS Read: 27820105 HDFS Write: 8 SUCCESS
Total MapReduce CPU Time Spent: 50 seconds 600 msec
OK
1110413
Time taken: 37.04 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_26718@mturlrep13_201309101851_285967686.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_27149@mturlrep13_201309101851_2135309314.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_0042
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 1
2013-09-10 18:51:19,077 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:51:25,106 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:26,114 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:27,123 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:28,129 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:29,135 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:30,141 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 13.92 sec
2013-09-10 18:51:31,147 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 20.4 sec
2013-09-10 18:51:32,152 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 27.44 sec
2013-09-10 18:51:33,158 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:34,163 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:35,168 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:36,173 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:37,179 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:38,184 Stage-1 map = 100%, reduce = 25%, Cumulative CPU 27.44 sec
2013-09-10 18:51:39,192 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 29.39 sec
2013-09-10 18:51:40,198 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 29.39 sec
MapReduce Total cumulative CPU time: 29 seconds 390 msec
Ended Job = job_201309101627_0042
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 1 Cumulative CPU: 29.39 sec HDFS Read: 597016 HDFS Write: 6 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 390 msec
OK
Time taken: 30.908 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_28401@mturlrep13_201309101851_891001725.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_28836@mturlrep13_201309101851_1054092389.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_0043
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 18:51:59,809 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:52:04,838 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.48 sec
2013-09-10 18:52:05,847 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.48 sec
2013-09-10 18:52:06,855 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.48 sec
2013-09-10 18:52:07,861 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.48 sec
2013-09-10 18:52:08,868 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 12.48 sec
2013-09-10 18:52:09,875 Stage-1 map = 75%, reduce = 0%, Cumulative CPU 18.07 sec
2013-09-10 18:52:10,881 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.92 sec
2013-09-10 18:52:11,887 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 23.92 sec
2013-09-10 18:52:12,894 Stage-1 map = 100%, reduce = 67%, Cumulative CPU 25.68 sec
2013-09-10 18:52:13,901 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.53 sec
2013-09-10 18:52:14,908 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 27.53 sec
MapReduce Total cumulative CPU time: 27 seconds 530 msec
Ended Job = job_201309101627_0043
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_0044
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 18:52:17,388 Stage-2 map = 0%, reduce = 0%
2013-09-10 18:52:19,396 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:20,401 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:21,406 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:22,411 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:23,415 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:24,420 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:25,425 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 0.75 sec
2013-09-10 18:52:26,430 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 0.75 sec
2013-09-10 18:52:27,436 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.14 sec
2013-09-10 18:52:28,442 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.14 sec
2013-09-10 18:52:29,448 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 2.14 sec
MapReduce Total cumulative CPU time: 2 seconds 140 msec
Ended Job = job_201309101627_0044
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 27.53 sec HDFS Read: 907716 HDFS Write: 384 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 2.14 sec HDFS Read: 1153 HDFS Write: 60 SUCCESS
Total MapReduce CPU Time Spent: 29 seconds 670 msec
OK
Time taken: 39.506 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_30667@mturlrep13_201309101852_966681525.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_31123@mturlrep13_201309101852_1252745596.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_0045
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 18:52:49,457 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:52:56,485 Stage-1 map = 43%, reduce = 0%
2013-09-10 18:52:59,503 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 14.56 sec
2013-09-10 18:53:00,511 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:01,519 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:02,526 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:03,533 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:04,539 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:05,545 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:06,550 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 29.73 sec
2013-09-10 18:53:07,557 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 29.73 sec
2013-09-10 18:53:08,563 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 29.73 sec
2013-09-10 18:53:09,569 Stage-1 map = 92%, reduce = 17%, Cumulative CPU 29.73 sec
2013-09-10 18:53:10,575 Stage-1 map = 97%, reduce = 17%, Cumulative CPU 44.01 sec
2013-09-10 18:53:11,598 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.47 sec
2013-09-10 18:53:12,604 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.47 sec
2013-09-10 18:53:13,609 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.47 sec
2013-09-10 18:53:14,615 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.47 sec
2013-09-10 18:53:15,620 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 58.47 sec
2013-09-10 18:53:16,627 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.64 sec
2013-09-10 18:53:17,634 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.64 sec
2013-09-10 18:53:18,640 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.64 sec
2013-09-10 18:53:19,646 Stage-1 map = 100%, reduce = 63%, Cumulative CPU 65.64 sec
2013-09-10 18:53:20,653 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 71.27 sec
2013-09-10 18:53:21,659 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 71.27 sec
MapReduce Total cumulative CPU time: 1 minutes 11 seconds 270 msec
Ended Job = job_201309101627_0045
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_0046
Hadoop job information for Stage-2: number of mappers: 1; number of reducers: 1
2013-09-10 18:53:25,187 Stage-2 map = 0%, reduce = 0%
2013-09-10 18:53:27,196 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:28,202 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:29,207 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:30,211 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:31,216 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:32,220 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:33,226 Stage-2 map = 100%, reduce = 0%, Cumulative CPU 1.42 sec
2013-09-10 18:53:34,231 Stage-2 map = 100%, reduce = 33%, Cumulative CPU 1.42 sec
2013-09-10 18:53:35,237 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.16 sec
2013-09-10 18:53:36,243 Stage-2 map = 100%, reduce = 100%, Cumulative CPU 3.16 sec
MapReduce Total cumulative CPU time: 3 seconds 160 msec
Ended Job = job_201309101627_0046
MapReduce Jobs Launched:
Job 0: Map: 4 Reduce: 2 Cumulative CPU: 71.27 sec HDFS Read: 67340015 HDFS Write: 100142 SUCCESS
Job 1: Map: 1 Reduce: 1 Cumulative CPU: 3.16 sec HDFS Read: 100911 HDFS Write: 96 SUCCESS
Total MapReduce CPU Time Spent: 1 minutes 14 seconds 430 msec
OK
Time taken: 56.439 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_609@mturlrep13_201309101853_355533849.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_1183@mturlrep13_201309101853_289725544.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_0047
Hadoop job information for Stage-1: number of mappers: 4; number of reducers: 2
2013-09-10 18:53:55,838 Stage-1 map = 0%, reduce = 0%
2013-09-10 18:54:02,865 Stage-1 map = 29%, reduce = 0%
2013-09-10 18:54:05,876 Stage-1 map = 43%, reduce = 0%
2013-09-10 18:54:08,894 Stage-1 map = 46%, reduce = 0%, Cumulative CPU 16.8 sec
2013-09-10 18:54:09,901 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:10,909 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:11,915 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:12,921 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:13,927 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:14,932 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:15,938 Stage-1 map = 50%, reduce = 0%, Cumulative CPU 34.85 sec
2013-09-10 18:54:16,943 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 34.85 sec
2013-09-10 18:54:17,949 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 34.85 sec
2013-09-10 18:54:18,954 Stage-1 map = 80%, reduce = 17%, Cumulative CPU 34.85 sec
2013-09-10 18:54:19,959 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.85 sec
2013-09-10 18:54:20,964 Stage-1 map = 96%, reduce = 17%, Cumulative CPU 34.85 sec
2013-09-10 18:54:21,970 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:22,975 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:23,980 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:24,986 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:25,991 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:26,997 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:28,002 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:29,008 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:30,014 Stage-1 map = 100%, reduce = 17%, Cumulative CPU 67.35 sec
2013-09-10 18:54:31,021 Stage-1 map = 100%, reduce = 58%, Cumulative CPU 74.39 sec
2013-09-10 18:54:32,027 Stage-1 map = 100%, reduce = 96%, Cumulative CPU 74.39 sec
2013-09-10 18:54:33,033 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.05 sec
2013-09-10 18:54:34,038 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.05 sec
2013-09-10 18:54:35,044 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 84.05 sec
MapReduce Total cumulative CPU time: 1 minutes 24 seconds 50 msec
Ended Job = job_201309101627_0047
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_0048
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