[jira] [Created] (HIVE-17774) compaction may start with 0 splits and fail

["Sergey Shelukhin (JIRA)" <ji...@apache.org>]

Sergey Shelukhin created HIVE-17774:
---------------------------------------

             Summary: compaction may start with 0 splits and fail
                 Key: HIVE-17774
                 URL: https://issues.apache.org/jira/browse/HIVE-17774
             Project: Hive
          Issue Type: Bug
            Reporter: Sergey Shelukhin
            Assignee: Eugene Koifman


{noformat}
2017-09-26 10:36:01,979 INFO  [...]: compactor.CompactorMR (CompactorMR.java:launchCompactionJob(295)) - 
Submitting MINOR compaction job ....
 (current delta dirs count=0, obsolete delta dirs count=0. TxnIdRange[9223372036854775807,-9223372036854775808]
...
2017-09-26 10:36:02,350 INFO  [...]: mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(198)) - number of splits:0
...
2017-09-26 10:36:08,637 INFO  [...]: mapreduce.Job (Job.java:monitorAndPrintJob(1380)) - 
Job job_1503950256860_15982 failed with state FAILED due to: No of maps and reduces are 0 job_1503950256860_15982
Job commit failed: java.io.FileNotFoundException: File .../hello_acid/load_date=2016-03-03/_tmp_a95346ad-bd89-4e66-9b05-e60fdfa11858 does not exist.
	at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:904)
	at org.apache.hadoop.hdfs.DistributedFileSystem.access$600(DistributedFileSystem.java:113)
	at org.apache.hadoop.hdfs.DistributedFileSystem$21.doCall(DistributedFileSystem.java:966)
	at org.apache.hadoop.hdfs.DistributedFileSystem$21.doCall(DistributedFileSystem.java:962)
	at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
	at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:962)
	at org.apache.hadoop.hive.ql.txn.compactor.CompactorMR$CompactorOutputCommitter.commitJob(CompactorMR.java:776)
	at org.apache.hadoop.mapred.OutputCommitter.commitJob(OutputCommitter.java:291)
	at org.apache.hadoop.mapreduce.v2.app.commit.CommitterEventHandler$EventProcessor.handleJobCommit(CommitterEventHandler.java:285)
	at org.apache.hadoop.mapreduce.v2.app.commit.CommitterEventHandler$EventProcessor.run(CommitterEventHandler.java:237)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
{noformat}

Looks like the MR job should not have been attempted in this case.



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