Github user davies commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53645673
merged int master, close it manually.
---
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
Github user davies closed the pull request at:
https://github.com/apache/spark/pull/2152
---
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 enab
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53611581
Alright, merged this. Thanks!
---
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
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53537875
QA results for PR 2152:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds no public classesFor more
information see test
ouptut:https://amplab.c
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53532166
QA tests have started for PR 2152. This patch merges cleanly. View
progress:
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19297/consoleFull
---
If
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53531754
test this please
---
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
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/2152#issuecomment-53515708
Jenkins, test this please
---
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 thi
GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/2152
[SPARK-3239] [PySpark] randomize the dirs for each process
This can avoid the IO contention during spilling, when you have multiple
disks.
You can merge this pull request into a Git repository by ru