spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Michael Armbrust (JIRA)" <>
Subject [jira] [Updated] (SPARK-11077) Join elimination in Catalyst
Date Tue, 10 Nov 2015 19:52:11 GMT


Michael Armbrust updated SPARK-11077:
    Target Version/s:   (was: 1.6.0)

> Join elimination in Catalyst
> ----------------------------
>                 Key: SPARK-11077
>                 URL:
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Ankur Dave
>            Assignee: Ankur Dave
> Join elimination is a query optimization where certain joins can be eliminated when followed
by projections that only keep columns from one side of the join, and when certain columns
are known to be unique or foreign keys. This can be very useful for queries involving views
and machine-generated queries.
> Adding join elimination to Catalyst requires (1) support for unique and foreign key hints
in logical plans, (2) methods in the DataFrame API to let users provide these hints, and (3)
an optimizer rule that eliminates unique key outer joins and referential integrity joins when
followed by an appropriate projection.
> This proposal is described in detail here:

This message was sent by Atlassian JIRA

To unsubscribe, e-mail:
For additional commands, e-mail:

View raw message