CODEWITHSUNDEEP
hadoophive
Bhavesh Shah
Bhavesh Shah

Reputation: 3389

How to stop a particular job while running Hive queries on Hadoop?

Scenario:

When I run enter the query on Hive CLI, I get the errors as below:

Query:

**$ bin/hive -e "insert overwrite table pokes select a.* from invites a where a.ds='2008-08-15';"**

Error is like this:

Total MapReduce jobs = 1 Launching Job 1 out of 1 Number of reduce tasks is set to 0 since there's no reduce operator Starting Job = job_201111291547_0013, Tracking URL = http://localhost:50030/jobdetails.jsp?jobid=job_201111291547_0013 Kill Command = C:\cygwin\home\Bhavesh.Shah\hadoop-0.20.2/bin/hadoop job -Dmapred.job.tracker=localhost:9101 -kill job_201111291547_0013 2011-12-01 14:00:52,380 Stage-1 map = 0%, reduce = 0% 2011-12-01 14:01:19,518 Stage-1 map = 100%, reduce = 100% Ended Job = job_201111291547_0013 with errors FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask

Question:

So my question is that how to stop a job? In this case the job is : job_201111291547_0013 Pls help me out so that I can remove these errors and try for next. Thanks.

Upvotes: 5

Views: 17292

Answers (4)

Sumukh
Sumukh

Reputation: 749

The log traces of the job launched provide the command to kill the job as well.You can use that to kill the job. That however gives a warning that hadoop job -kill is deprecated. You can also use instead

mapred job -kill

Upvotes: 1

Kuber
Kuber

Reputation: 1032

hadoop job -kill is deprecated now. Use mapred job -kill instead.

Upvotes: 3

sandeepkunkunuru
sandeepkunkunuru

Reputation: 6440

One more option is to try WebHCat API from browser or command line, using utilities like Curl. Here's WebHCat API to delete a hive job

Also note that the link says that

The job is not immediately deleted, therefore the information returned may not reflect deletion, as in our example. Use GET jobs/:jobid to monitor the job and confirm that it is eventually deleted.

Upvotes: 0

alexlod
alexlod

Reputation: 1365

You can stop a job by running hadoop job -kill <job_id>.

Upvotes: 12

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