Repository: spark
Updated Branches:
  refs/heads/branch-1.0 8f8cea784 -> 4b12737af


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

(cherry picked from commit 23ae36630aa5e6ca4a86e32912a99408129dff7b)
Signed-off-by: Reynold Xin <[email protected]>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/4b12737a
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/4b12737a
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/4b12737a

Branch: refs/heads/branch-1.0
Commit: 4b12737af73001f488530f8ae558445e90e4183f
Parents: 8f8cea7
Author: nchammas <[email protected]>
Authored: Fri May 30 22:04:57 2014 -0700
Committer: Reynold Xin <[email protected]>
Committed: Fri May 30 22:05:09 2014 -0700

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 docs/tuning.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/4b12737a/docs/tuning.md
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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.

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