[jira] [Assigned] (HIVE-18269) LLAP: Fast llap io with slow processing pipeline can lead to OOM

2017-12-22 Thread Sergey Shelukhin (JIRA)

 [ 
https://issues.apache.org/jira/browse/HIVE-18269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sergey Shelukhin reassigned HIVE-18269:
---

Assignee: Sergey Shelukhin  (was: Prasanth Jayachandran)

> LLAP: Fast llap io with slow processing pipeline can lead to OOM
> 
>
> Key: HIVE-18269
> URL: https://issues.apache.org/jira/browse/HIVE-18269
> Project: Hive
>  Issue Type: Bug
>Affects Versions: 3.0.0
>Reporter: Prasanth Jayachandran
>Assignee: Sergey Shelukhin
> Attachments: HIVE-18269.1.patch, Screen Shot 2017-12-13 at 1.15.16 
> AM.png
>
>
> pendingData linked list in Llap IO elevator (LlapRecordReader.java) may grow 
> indefinitely when Llap IO is faster than processing pipeline. Since we don't 
> have backpressure to slow down the IO, this can lead to indefinite growth of 
> pending data leading to severe GC pressure and eventually lead to OOM.
> This specific instance of LLAP was running on HDFS on top of EBS volume 
> backed by SSD. The query that triggered this is issue was ANALYZE STATISTICS 
> .. FOR COLUMNS which also gather bitvectors. Fast IO and Slow processing case.



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[jira] [Assigned] (HIVE-18269) LLAP: Fast llap io with slow processing pipeline can lead to OOM

2017-12-13 Thread Prasanth Jayachandran (JIRA)

 [ 
https://issues.apache.org/jira/browse/HIVE-18269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Prasanth Jayachandran reassigned HIVE-18269:



> LLAP: Fast llap io with slow processing pipeline can lead to OOM
> 
>
> Key: HIVE-18269
> URL: https://issues.apache.org/jira/browse/HIVE-18269
> Project: Hive
>  Issue Type: Bug
>Affects Versions: 3.0.0
>Reporter: Prasanth Jayachandran
>Assignee: Prasanth Jayachandran
>
> pendingData linked list in Llap IO elevator (LlapRecordReader.java) may have 
> grow indefinitely when Llap IO is faster than processing pipeline. Since we 
> don't have backpressure to slow down the IO, this can lead to indefinite 
> growth of pending data leading to severe GC pressure and eventually lead to 
> OOM.



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