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Posted to dev@hive.apache.org by "Yhzhtk (JIRA)" <ji...@apache.org> on 2014/08/26 06:30:57 UTC
[jira] [Created] (HIVE-7879) Execute the same sql first sucessful,
but the second error "/ by zero"
Yhzhtk created HIVE-7879:
----------------------------
Summary: Execute the same sql first sucessful, but the second error "/ by zero"
Key: HIVE-7879
URL: https://issues.apache.org/jira/browse/HIVE-7879
Project: Hive
Issue Type: Bug
Environment: CentOS release 6.2 (Final)
Hadoop 2.2.0
Subversion https://svn.apache.org/repos/asf/hadoop/common -r 1529768
Compiled by hortonmu on 2013-10-07T06:28Z
Compiled with protoc 2.5.0
>From source with checksum 79e53ce7994d1628b240f09af91e1af4
hive-0.12.0
Reporter: Yhzhtk
The hive sql is:
{quote}
select working_experience,count(*)
from search
where
log_date = 20140825 and
ua not rlike '^.*(HttpClient|Jakarta|scrapy|bot|spider|wget).*$' and
working_experience in ('不限','应届毕业生','1年以下','1-3年','3-5年','5-10年','10年以上','')
group by working_experience
{quote}
*Execute the sql a short time on the same environment(data not change) twice, the first is run sucessful and print the right result , but the second is error:*
The error is:
{quote}
Diagnostic Messages for this Task:
/ by zero
{quote}
*The first （successful）, The whole info is:*
{quote}
> select working_experience,count(*) from search where log_date = 20140825 and ua not rlike '^.*(HttpClient|Jakarta|scrapy|bot|spider|wget).*$' and working_experience in ('不限','应届毕业生','1年以下','1-3年','3-5年','5-10年','10年以上','') group by working_experience;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 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>
Starting Job = job_1404899662896_1182, Tracking URL = http://rsyslog-16-3:8088/proxy/application_1404899662896_1182/
Kill Command = /apps/hadoop_mapreduce/hadoop-2.2.0/bin/hadoop job -kill job_1404899662896_1182
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2014-08-26 11:41:45,199 Stage-1 map = 0%, reduce = 0%
2014-08-26 11:41:54,522 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:41:55,557 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:41:56,600 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:41:57,639 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:41:58,677 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:41:59,711 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:42:00,751 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.3 sec
2014-08-26 11:42:02,018 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 5.91 sec
2014-08-26 11:42:03,055 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 5.91 sec
2014-08-26 11:42:04,099 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 5.91 sec
MapReduce Total cumulative CPU time: 5 seconds 910 msec
Ended Job = job_1404899662896_1182
MapReduce Jobs Launched:
Job 0: Map: 1 Reduce: 1 Cumulative CPU: 5.91 sec HDFS Read: 22122871 HDFS Write: 104 SUCCESS
Total MapReduce CPU Time Spent: 5 seconds 910 msec
OK
50339
1-3年 1949
10年以上 60
1年以下 360
3-5年 689
5-10年 328
不限 1196
应届毕业生 961
Time taken: 26.135 seconds, Fetched: 8 row(s)
{quote}
*The second （error）, The whole info is:*
{quote}
> select working_experience,count(*) from search where log_date = 20140825 and ua not rlike '^.*(HttpClient|Jakarta|scrapy|bot|spider|wget).*$' and working_experience in ('不限','应届毕业生','1年以下','1-3年','3-5年','5-10年','10年以上','') group by working_experience
> ;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 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>
Starting Job = job_1404899662896_1183, Tracking URL = http://rsyslog-16-3:8088/proxy/application_1404899662896_1183/
Kill Command = /apps/hadoop_mapreduce/hadoop-2.2.0/bin/hadoop job -kill job_1404899662896_1183
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2014-08-26 11:42:20,923 Stage-1 map = 0%, reduce = 0%
2014-08-26 11:42:38,491 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:39,525 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:40,563 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:41,596 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:42,644 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:43,677 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:44,712 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:45,753 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:46,786 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:47,817 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:48,859 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:49,896 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:50,929 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:51,962 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:53,000 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 4.26 sec
2014-08-26 11:42:54,037 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 4.26 sec
2014-08-26 11:42:55,073 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 4.26 sec
MapReduce Total cumulative CPU time: 4 seconds 260 msec
Ended Job = job_1404899662896_1183 with errors
Error during job, obtaining debugging information...
Examining task ID: task_1404899662896_1183_m_000000 (and more) from job job_1404899662896_1183
Task with the most failures(4):
-----
Task ID:
task_1404899662896_1183_r_000000
URL:
http://rsyslog-16-3:8088/taskdetails.jsp?jobid=job_1404899662896_1183&tipid=task_1404899662896_1183_r_000000
-----
Diagnostic Messages for this Task:
/ by zero
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Job 0: Map: 1 Reduce: 1 Cumulative CPU: 4.26 sec HDFS Read: 22122871 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 4 seconds 260 msec
{quote}
Is this is a bug? How can I resolved it.
Thanks very much!
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