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

["Miklos Christine (JIRA)" <ji...@apache.org>]

Miklos Christine created SPARK-10673:
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             Summary: 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
    Affects Versions: 1.5.0, 1.4.0
            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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