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https://issues.apache.org/jira/browse/SPARK-15616?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15607872#comment-15607872
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Franck Tago edited comment on SPARK-15616 at 10/26/16 11:20 PM:
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Hi Wondering if there are any updates on this issue
was (Author: [email protected]):
Hi Wondering if there are any updates on this issue
> Metastore relation should fallback to HDFS size of partitions that are
> involved in Query if statistics are not available.
> -------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-15616
> URL: https://issues.apache.org/jira/browse/SPARK-15616
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Lianhui Wang
>
> Currently if some partitions of a partitioned table are used in join
> operation we rely on Metastore returned size of table to calculate if we can
> convert the operation to Broadcast join.
> if Filter can prune some partitions, Hive can prune partition before
> determining to use broadcast joins according to HDFS size of partitions that
> are involved in Query.So sparkSQL needs it that can improve join's
> performance for partitioned table.
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