Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/2519#discussion_r18014202
--- Diff: docs/tuning.md ---
@@ -247,6 +247,39 @@ Spark prints the serialized size of each task on the
master, so you can look at
decide whether your tasks are too large; in general tasks larger than
about 20 KB are probably
worth optimizing.
+## Data Locality
+
+One of the most important principles of distributed computing is data
locality. If data and the
--- End diff --
It might be good to say something more like "Data locality can have a major
impact on the performance of Spark jobs."
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