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https://issues.apache.org/jira/browse/SPARK-16188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16131772#comment-16131772
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xianlongZhang commented on SPARK-16188:
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cen yuhai,thanks for your advice, but my company's data platform processed
tens of thousands of sql query every day , it is not practical to modify each
sql , so I think add a common mechanism to deal with this problem is the most
suitable solution
> Spark sql create a lot of small files
> -------------------------------------
>
> Key: SPARK-16188
> URL: https://issues.apache.org/jira/browse/SPARK-16188
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.6.0
> Environment: spark 1.6.1
> Reporter: cen yuhai
>
> I find that spark sql will create files as many as partition size. When the
> results are small, there will be too many small files and most of them are
> empty.
> Hive have a function to detect the avg of file size. If avg file size is
> smaller than "hive.merge.smallfiles.avgsize", hive will add a job to merge
> files.
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