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https://issues.apache.org/jira/browse/SPARK-10673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15005577#comment-15005577
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Xin Wu commented on SPARK-10673:
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The fix is being tested.. will submit PR shortly.
> spark.sql.hive.verifyPartitionPath Attempts to Verify Unregistered Partitions
> -----------------------------------------------------------------------------
>
> Key: SPARK-10673
> URL: https://issues.apache.org/jira/browse/SPARK-10673
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0, 1.5.0
> Reporter: Miklos Christine
> Priority: Minor
>
> In Spark 1.4, spark.sql.hive.verifyPartitionPath was set to true by default.
> In Spark 1.5, it is now set to false by default.
> If a table has a lot of partitions in the underlying filesystem, the code
> unnecessarily checks for all the underlying directories when executing a
> query.
> https://github.com/apache/spark/blob/v1.5.0/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala#L162
> Structure:
> {code}
> /user/hive/warehouse/table1/year=2015/month=01/
> /user/hive/warehouse/table1/year=2015/month=02/
> /user/hive/warehouse/table1/year=2015/month=03/
> ...
> /user/hive/warehouse/table1/year=2014/month=01/
> /user/hive/warehouse/table1/year=2014/month=02/
> {code}
> If the registered partitions only contain year=2015 when you run "show
> partitions table1", this code path checks for all directories under the
> table's root directory. This incurs a significant performance penalty if
> there are a lot of partition directories.
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