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Posted to issues@kylin.apache.org by "nichunen (JIRA)" <ji...@apache.org> on 2019/07/16 14:39:00 UTC
[jira] [Updated] (KYLIN-3912) Support cube level mapreduce queue
config for BeelineHiveClient
[ https://issues.apache.org/jira/browse/KYLIN-3912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
nichunen updated KYLIN-3912:
----------------------------
Fix Version/s: (was: v3.0.0)
v3.0.0-alpha2
> 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
> Components: Job Engine
> Affects Versions: v2.6.1
> Reporter: Liu Shaohui
> Priority: Major
> Fix For: v3.0.0-alpha2
>
>
> 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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