From 65c4d18cd1c69e782411f0c1385ab258b521b84e Mon Sep 17 00:00:00 2001 From: nchammas Date: Fri, 30 May 2014 13:18:51 -0400 Subject: [PATCH] updated link to mailing list --- docs/tuning.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tuning.md b/docs/tuning.md index c4230416e112d..4917c11bc1147 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.