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| author | nchammas <nicholas.chammas@gmail.com> | 2014-05-30 22:04:57 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@apache.org> | 2014-05-30 22:04:57 -0700 |
| commit | 23ae36630aa5e6ca4a86e32912a99408129dff7b (patch) | |
| tree | e0c76b4af660f0d7d6e115ae7d8d242547c075d8 /docs/tuning.md | |
| parent | 9c1f204d807403a7cb4099c29077e1f87f466179 (diff) | |
| download | spark-23ae36630aa5e6ca4a86e32912a99408129dff7b.tar.gz spark-23ae36630aa5e6ca4a86e32912a99408129dff7b.tar.bz2 spark-23ae36630aa5e6ca4a86e32912a99408129dff7b.zip | |
updated link to mailing list
Author: nchammas <nicholas.chammas@gmail.com>
Closes #923 from nchammas/patch-1 and squashes the following commits:
65c4d18 [nchammas] updated link to mailing list
Diffstat (limited to 'docs/tuning.md')
| -rw-r--r-- | docs/tuning.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/tuning.md b/docs/tuning.md index c4230416e1..4917c11bc1 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. |