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-rw-r--r--docs/tuning.md2
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.