[jira] [Updated] (SPARK-10673) spark.sql.hive.verifyPartitionPath Attempts to Verify Unregistered Partitions

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-10673:
------------------------------
    Component/s: SQL

> 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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