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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (KYLIN-3912) Support cube level mapreduce queue config for BeelineHiveClient
Date Tue, 09 Apr 2019 09:28:00 GMT

    [ https://issues.apache.org/jira/browse/KYLIN-3912?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16813172#comment-16813172
] 

ASF GitHub Bot commented on KYLIN-3912:
---------------------------------------

shaofengshi commented on pull request #556: KYLIN-3912: Support cube level mapreduuce queue
config for BeelineHiveClient
URL: https://github.com/apache/kylin/pull/556
 
 
   
 
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> Support cube level mapreduce queue config for BeelineHiveClient
> ---------------------------------------------------------------
>
>                 Key: KYLIN-3912
>                 URL: https://issues.apache.org/jira/browse/KYLIN-3912
>             Project: Kylin
>          Issue Type: Improvement
>            Reporter: Liu Shaohui
>            Priority: Major
>
> To support multi tenants, we set different mapreduce queue config for different projects
and cubes, but BeelineHiveClient don't use those configs. So the getHiveTableRows api always
run on same queue in kylin_hive_conf or jdbc url, which cause computing resource competition.
>  
> {code:java}
> 2018-11-28 15:37:27,261 ERROR [Scheduler 1950398337 Job 08b3ee43-c84d-4039-84c5-a36ecb2cff18-228]
execution.AbstractExecutable:383 : job:08b3ee43-c84d-4039-84c5-a36ecb2cff18-01 execute finished
with exception
> java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return
code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
> downstreamError is null.
> Query log: http://zjy-hadoop-prc-ct14.bj:28911/log?qid=a05e1629-2072-46dd-9d71-b5722d04b2aa
>         at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:277)
>         at org.apache.hive.jdbc.HiveStatement.executeQuery(HiveStatement.java:376)
>         at org.apache.kylin.source.hive.BeelineHiveClient.getHiveTableRows(BeelineHiveClient.java:108)
>         at org.apache.kylin.source.hive.HiveMRInput$RedistributeFlatHiveTableStep.computeRowCount(HiveMRInput.java:304)
>         at org.apache.kylin.source.hive.HiveMRInput$RedistributeFlatHiveTableStep.doWork(HiveMRInput.java:354)
>         at org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:165)
>         at org.apache.kylin.job.execution.DefaultChainedExecutable.doWork(DefaultChainedExecutable.java:67)
>         at org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:165)
>         at org.apache.kylin.job.impl.threadpool.DefaultScheduler$JobRunner.run(DefaultScheduler.java:300)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>         at java.lang.Thread.run(Thread.java:748){code}



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