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Dmitry Buzolin commented on SPARK-18085: ---------------------------------------- I posted my comments not to start the endless flame on what is orthogonal and what is not. It is up to you how to use them. I speak from my experience running Spark clusters of substantial sizes. If you think offloading problem from memory to disk storage is a way to go - do it. I'd be happy to see SHS performance improvements in next Spark release. > Better History Server scalability for many / large applications > --------------------------------------------------------------- > > Key: SPARK-18085 > URL: https://issues.apache.org/jira/browse/SPARK-18085 > Project: Spark > Issue Type: Umbrella > Components: Spark Core, Web UI > Affects Versions: 2.0.0 > Reporter: Marcelo Vanzin > Attachments: spark_hs_next_gen.pdf > > > It's a known fact that the History Server currently has some annoying issues > when serving lots of applications, and when serving large applications. > I'm filing this umbrella to track work related to addressing those issues. > I'll be attaching a document shortly describing the issues and suggesting a > path to how to solve them. -- 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