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Posted to issues@spark.apache.org by "Thomas Graves (JIRA)" <ji...@apache.org> on 2015/04/14 20:15:12 UTC

[jira] [Resolved] (SPARK-6904) SparkSql - HiveContext - optimize reading partition data from metastore

     [ https://issues.apache.org/jira/browse/SPARK-6904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Thomas Graves resolved SPARK-6904.
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    Resolution: Duplicate

> SparkSql - HiveContext - optimize reading partition data from metastore
> -----------------------------------------------------------------------
>
>                 Key: SPARK-6904
>                 URL: https://issues.apache.org/jira/browse/SPARK-6904
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Thomas Graves
>
> I was trying out spark sql using the HiveContext and doing a select on a partitioned table with lots of partitions (16,000+). It took over 6 minutes before it even started the job. It looks like it was querying the Hive metastore and got a good chunk of data back.  Which I'm guessing is info on the partitions.  Running the same query using hive takes 45 seconds for the entire job. 
> It would be nice if we could optimize on the partitions when reading from the metastore.



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