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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/09/27 02:00:04 UTC
[jira] [Commented] (SPARK-25548) In the PruneFileSourcePartitions
optimizer, replace the nonPartitionOps field with true in the
And(partitionOps, nonPartitionOps) to make the partition can be pruned
[ https://issues.apache.org/jira/browse/SPARK-25548?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16629655#comment-16629655 ]
Apache Spark commented on SPARK-25548:
--------------------------------------
User 'eatoncys' has created a pull request for this issue:
https://github.com/apache/spark/pull/22561
> In the PruneFileSourcePartitions optimizer, replace the nonPartitionOps field with true in the And(partitionOps, nonPartitionOps) to make the partition can be pruned
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-25548
> URL: https://issues.apache.org/jira/browse/SPARK-25548
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: eaton
> Priority: Critical
>
> In the PruneFileSourcePartitions optimizer, the partition files will not be pruned if we use partition filter and non partition filter together, for example:
> sql("CREATE TABLE IF NOT EXISTS src_par (key INT, value STRING) partitioned by(p_d int) stored as parquet ")
> sql("insert overwrite table src_par partition(p_d=2) select 2 as key, '4' as value")
> sql("insert overwrite table src_par partition(p_d=3) select 3 as key, '4' as value")
> sql("insert overwrite table src_par partition(p_d=4) select 4 as key, '4' as value")
> The sql below will scan all the partition files, in which, the partition **p_d=4** should be pruned.
> **sql("select * from src_par where (p_d=2 and key=2) or (p_d=3 and key=3)").show**
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