[jira] [Commented] (SPARK-19609) Broadcast joins should pushdown join constraints as Filter to the larger relation

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

    [ https://issues.apache.org/jira/browse/SPARK-19609?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16156341#comment-16156341 ] 

ivorzhou commented on SPARK-19609:
----------------------------------

It is very important issue, is there any plan to add this feature?

> Broadcast joins should pushdown join constraints as Filter to the larger relation
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-19609
>                 URL: https://issues.apache.org/jira/browse/SPARK-19609
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Nick Dimiduk
>
> For broadcast inner-joins, where the smaller relation is known to be small enough to materialize on a worker, the set of values for all join columns is known and fits in memory. Spark should translate these values into a {{Filter}} pushed down to the datasource. The common join condition of equality, i.e. {{lhs.a == rhs.a}}, can be written as an {{a in ...}} clause. An example of pushing such filters is already present in the form of {{IsNotNull}} filters via [~sameerag]'s work on SPARK-12957 subtasks.
> This optimization could even work when the smaller relation does not fit entirely in memory. This could be done by partitioning the smaller relation into N pieces, applying this predicate pushdown for each piece, and unioning the results.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org