GitHub user kmadhugit opened a pull request:
https://github.com/apache/spark/pull/7020
Partitionning of an RDD with 0 partition shouldn't yield empty outer join
The defaultPartitioner method in org.apache.spark.Partitioner.scala selects
the explicitly defined partitioner as the default partitioner, otherwise it
selects the partitioner which has more number of partition.
Introduced an additional check to select the explicitly defined partitioner
only when number of partitions are > 0. This would avoid operators creating
null result set
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ibmsoe/spark SPARK-8048
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/7020.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #7020
----
commit cd6472cacf388c9fbe8c8919a3cf48f8090534ee
Author: Madhusudanan Kandasamy <[email protected]>
Date: 2015-06-25T16:05:19Z
Explicit partitionning of an RDD with 0 partition shouldn't yield empty
outer join
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
