You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:55:05 UTC
[jira] [Updated] (SPARK-26769) partition prunning in inner join
[ https://issues.apache.org/jira/browse/SPARK-26769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-26769:
----------------------------------
Affects Version/s: (was: 3.0.0)
3.1.0
> 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: 3.1.0
> 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)
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org