There's also this: https://github.com/databricks/spark-perf
[https://avatars2.githubusercontent.com/u/4998052?v=3&s=400]<https://github.com/databricks/spark-perf> GitHub - databricks/spark-perf: Performance tests for Spark<https://github.com/databricks/spark-perf> github.com Sweeps sets of parameters to test against multiple Spark and test configurations. Automatically downloads and builds Spark: Maintains a cache of successful builds to ... Not sure if it exactly fits what you are looking for but hoping it helps ________________________________ From: Chetan Khatri <chetan.opensou...@gmail.com> Sent: Wednesday, February 15, 2017 11:24 PM To: Georg Heiler Cc: Spark Dev List; user Subject: Re: Spark Job Performance monitoring approaches Thank you Georg On Thu, Feb 16, 2017 at 12:30 PM, Georg Heiler <georg.kf.hei...@gmail.com<mailto:georg.kf.hei...@gmail.com>> wrote: I know of the following tools https://sites.google.com/site/sparkbigdebug/home https://engineering.linkedin.com/blog/2016/04/dr-elephant-open-source-self-serve-performance-tuning-hadoop-spark https://github.com/SparkMonitor/varOne https://github.com/groupon/sparklint Chetan Khatri <chetan.opensou...@gmail.com<mailto:chetan.opensou...@gmail.com>> schrieb am Do., 16. Feb. 2017 um 06:15 Uhr: Hello All, What would be the best approches to monitor Spark Performance, is there any tools for Spark Job Performance monitoring ? Thanks.
