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Posted to issues@hive.apache.org by "Szehon Ho (JIRA)" <ji...@apache.org> on 2018/07/12 16:38:00 UTC

[jira] [Updated] (HIVE-20153) Count and Sum UDF consume more memory in Hive 2+

     [ https://issues.apache.org/jira/browse/HIVE-20153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Szehon Ho updated HIVE-20153:
-----------------------------
    Description: 
While playing with Hive2, we noticed that queries with a lot of count() and sum() aggregations run out of memory on Hadoop side much faster than in Hive1.  In many queries, we have to double the memory.

 

Taking heap dump, we see one of the main culprit is the field 'uniqueObjects' in GeneraicUDAFSum and GenericUDAFCount, which was added to support Window functions.

  was:While playing with Hive2, we noticed that queries with a lot of count() and sum() aggregations run out of memory on Hadoop side much faster than in Hive1.  Taking heap dump, we see one of the main culprit is the field 'uniqueObjects' in GeneraicUDAFSum and GenericUDAFCount, which was added to support Window functions.


> Count and Sum UDF consume more memory in Hive 2+
> ------------------------------------------------
>
>                 Key: HIVE-20153
>                 URL: https://issues.apache.org/jira/browse/HIVE-20153
>             Project: Hive
>          Issue Type: Bug
>          Components: UDF
>    Affects Versions: 2.3.2
>            Reporter: Szehon Ho
>            Priority: Major
>
> While playing with Hive2, we noticed that queries with a lot of count() and sum() aggregations run out of memory on Hadoop side much faster than in Hive1.  In many queries, we have to double the memory.
>  
> Taking heap dump, we see one of the main culprit is the field 'uniqueObjects' in GeneraicUDAFSum and GenericUDAFCount, which was added to support Window functions.



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