You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/09/21 07:38:33 UTC
[jira] [Created] (SPARK-3622) Provide a custom transformation that
can output multiple RDDs
Xuefu Zhang created SPARK-3622:
----------------------------------
Summary: Provide a custom transformation that can output multiple RDDs
Key: SPARK-3622
URL: https://issues.apache.org/jira/browse/SPARK-3622
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 1.1.0
Reporter: Xuefu Zhang
All existing transformations return just one RDD at most, even for those which takes user-supplied functions such as mapPartitions() . However, sometimes a user provided function may need to output multiple RDDs. For instance, a filter function that divides the input RDD into serveral RDDs. While it's possible to get multiple RDDs by transforming the same RDD multiple times, it may be more efficient to do this concurrently in one shot. Especially user's existing function is already generating different data sets.
This the case in Hive on Spark, where Hive's map function and reduce function can output different data sets to be consumed by subsequent stages.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org