Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/4721#discussion_r25470819
--- Diff: docs/monitoring.md ---
@@ -150,6 +150,8 @@ follows:
Note that in all of these UIs, the tables are sortable by clicking their
headers,
making it easy to identify slow tasks, data skew, etc.
+In YARN, note that the history server only displays completed Spark jobs.
One way to signal the completion of a Spark job is to stop the Spark Context
explicitly (`sc.stop()`), or in Python using the `with SparkContext() as sc:`
to handle the Spark Context setup and tear down, and still show the job history
on the UI.
--- End diff --
Actually, this is true not only in YARN. I will fix this myself when I merge
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