Repository: spark Updated Branches: refs/heads/master 9c1f204d8 -> 23ae36630
updated link to mailing list Author: nchammas <[email protected]> Closes #923 from nchammas/patch-1 and squashes the following commits: 65c4d18 [nchammas] updated link to mailing list Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/23ae3663 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/23ae3663 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/23ae3663 Branch: refs/heads/master Commit: 23ae36630aa5e6ca4a86e32912a99408129dff7b Parents: 9c1f204 Author: nchammas <[email protected]> Authored: Fri May 30 22:04:57 2014 -0700 Committer: Reynold Xin <[email protected]> Committed: Fri May 30 22:04:57 2014 -0700 ---------------------------------------------------------------------- docs/tuning.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/23ae3663/docs/tuning.md ---------------------------------------------------------------------- diff --git a/docs/tuning.md b/docs/tuning.md index c423041..4917c11 100644 --- a/docs/tuning.md +++ b/docs/tuning.md @@ -253,4 +253,4 @@ This has been a short guide to point out the main concerns you should know about Spark application -- most importantly, data serialization and memory tuning. For most programs, switching to Kryo serialization and persisting data in serialized form will solve most common performance issues. Feel free to ask on the -[Spark mailing list](http://groups.google.com/group/spark-users) about other tuning best practices. +[Spark mailing list](https://spark.apache.org/community.html) about other tuning best practices.
