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https://issues.apache.org/jira/browse/HIVE-6682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sergey Shelukhin updated HIVE-6682:
-----------------------------------

    Status: Patch Available  (was: Open)

> nonstaged mapjoin table memory check may be broken
> --------------------------------------------------
>
>                 Key: HIVE-6682
>                 URL: https://issues.apache.org/jira/browse/HIVE-6682
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 0.13.0
>            Reporter: Sergey Shelukhin
>            Assignee: Sergey Shelukhin
>         Attachments: HIVE-6682.patch
>
>
> We are getting the below error from task while the staged load works 
> correctly. 
> We don't set the memory threshold so low so it seems the settings are just 
> not handled correctly. This seems to always trigger on the first check. Given 
> that map task might have bunch more stuff, not just the hashmap, we may also 
> need to adjust the memory check (e.g. have separate configs).
> {noformat}
> Error: java.lang.RuntimeException: 
> org.apache.hadoop.hive.ql.metadata.HiveException: 
> org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionException: 
> 2014-03-14 08:11:21     Processing rows:        200000  Hashtable size: 
> 199999  Memory usage:   204001888       percentage:     0.197
>       at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:195)
>       at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
>       at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
>       at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
>       at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
>       at java.security.AccessController.doPrivileged(Native Method)
>       at javax.security.auth.Subject.doAs(Subject.java:415)
>       at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
>       at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: 
> org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionException: 
> 2014-03-14 08:11:21     Processing rows:        200000  Hashtable size: 
> 199999  Memory usage:   204001888       percentage:     0.197
>       at 
> org.apache.hadoop.hive.ql.exec.mr.HashTableLoader.load(HashTableLoader.java:104)
>       at 
> org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTable(MapJoinOperator.java:150)
>       at 
> org.apache.hadoop.hive.ql.exec.MapJoinOperator.cleanUpInputFileChangedOp(MapJoinOperator.java:165)
>       at 
> org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1026)
>       at 
> org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1030)
>       at 
> org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1030)
>       at 
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:489)
>       at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:177)
>       ... 8 more
> Caused by: 
> org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionException: 
> 2014-03-14 08:11:21       Processing rows:        200000  Hashtable size: 
> 199999  Memory usage:   204001888       percentage:     0.197
>       at 
> org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionHandler.checkMemoryStatus(MapJoinMemoryExhaustionHandler.java:91)
>       at 
> org.apache.hadoop.hive.ql.exec.HashTableSinkOperator.processOp(HashTableSinkOperator.java:248)
>       at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:791)
>       at 
> org.apache.hadoop.hive.ql.exec.TableScanOperator.processOp(TableScanOperator.java:92)
>       at 
> org.apache.hadoop.hive.ql.exec.mr.MapredLocalTask.startForward(MapredLocalTask.java:375)
>       at 
> org.apache.hadoop.hive.ql.exec.mr.MapredLocalTask.startForward(MapredLocalTask.java:346)
>       at 
> org.apache.hadoop.hive.ql.exec.mr.HashTableLoader.loadDirectly(HashTableLoader.java:147)
>       at 
> org.apache.hadoop.hive.ql.exec.mr.HashTableLoader.load(HashTableLoader.java:82)
>       ... 15 more
> {noformat}



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