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From "Marcelo Vanzin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-26769) partition prunning in inner join
Date Tue, 12 Feb 2019 22:16:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-26769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Marcelo Vanzin updated SPARK-26769:
-----------------------------------
    Component/s:     (was: Spark Core)
                 SQL

> partition prunning in inner join
> --------------------------------
>
>                 Key: SPARK-26769
>                 URL: https://issues.apache.org/jira/browse/SPARK-26769
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: nhufas
>            Priority: Major
>              Labels: PartitionPruner
>
> When joining a partitioned parquet table with another table by partition column it should
prunne partitions from partitioned table based on another table values.
> example:
> tableA parquet table partitioned be part_filter
> tableB table with column with partition values
>  
> tableA is partitioned by part_A,part_B,part_C,part_D
> tableB is a single column with 2 rows having part_A and part_B as values.
>  
> doing 
> select * from tableA inner join tableB on tableA.part_filter=tableB.part_filter
> should generate a partition prunning on tableA based on tableB values (in this case scanning
only 2 partitions) but it wll read all 4 partitions from tableA only filter the results.
>  
> note: this kind of approach works on Hive (filtering tableA partitions)



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