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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:37 UTC

[jira] [Resolved] (SPARK-7825) Poor performance in Cross Product due to no combine operations for small files.

     [ https://issues.apache.org/jira/browse/SPARK-7825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-7825.
---------------------------------
    Resolution: Incomplete

> Poor performance in Cross Product due to no combine operations for small files.
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-7825
>                 URL: https://issues.apache.org/jira/browse/SPARK-7825
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>            Reporter: Tang Yan
>            Priority: Major
>              Labels: bulk-closed
>
> Dealing with  Cross Product, if one  table has many small files, spark sql has to handle so many tasks which will lead to poor performance, while Hive has a CombineHiveInputFormat which can combine small files to decrease the task  number.



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