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Steve Loughran commented on SPARK-1537: --------------------------------------- For people who've not been tracking the WiP # the timeline API is pretty thoroughly documented with examples; very close to going in [Latest TimelineServer.md|https://github.com/steveloughran/hadoop-trunk/blob/stevel/YARN-3539-ATS-compatibility/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServer.md] # the timeline server integration is in sync with trunk, especially the SPARK-4705 changes # it has lots of tests. This includes: generating events from a spark context and verifying that they are served up by an an-VM timeline server instance, and retrievable by a REST client, bringing up a Spark History server and making GET requests against it to verifying it hooks up to the server, and other cross-system tests. That's about as much as you can do in a standalone unit test suite. # those tests all run happily on unix and windows, provided you set the {{-Phadoop-2.6 -Pyarn}} flags to request a Hadoop 2.6 profile. # and I've tested against hadoop 2.6.0, 2.7.0 & branch-2; everything compiles and runs Can I get some reviews? > Add integration with Yarn's Application Timeline Server > ------------------------------------------------------- > > Key: SPARK-1537 > URL: https://issues.apache.org/jira/browse/SPARK-1537 > Project: Spark > Issue Type: New Feature > Components: YARN > Reporter: Marcelo Vanzin > Attachments: SPARK-1537.txt, spark-1573.patch > > > It would be nice to have Spark integrate with Yarn's Application Timeline > Server (see YARN-321, YARN-1530). This would allow users running Spark on > Yarn to have a single place to go for all their history needs, and avoid > having to manage a separate service (Spark's built-in server). > At the moment, there's a working version of the ATS in the Hadoop 2.4 branch, > although there is still some ongoing work. But the basics are there, and I > wouldn't expect them to change (much) at this point. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org