Hi Akhil, I'm using spark 1.4.1. Number of executors is not in the command line, not in the getExecutorMemoryStatus (I already mentioned that I tried that, works in spark-shell but not when executed via spark-submit). I tried looking at "defaultParallelism" too, it's 112 (7 executors * 16 cores) when ran via spark-shell, but just 2 when ran via spark-submit.
But the scheduler obviously knows this information. It *must* know it. How can I access it? Other that parsing the HTML of the WebUI, that is... that's pretty much guaranteed to work, and maybe I'll do that, but it's extremely convoluted. Regards, Virgil. On Fri, Aug 21, 2015 at 11:35 PM, Akhil Das <ak...@sigmoidanalytics.com> wrote: > Which version spark are you using? There was a discussion happened over > here > > http://apache-spark-user-list.1001560.n3.nabble.com/Determine-number-of-running-executors-td19453.html > > > http://mail-archives.us.apache.org/mod_mbox/spark-user/201411.mbox/%3ccacbyxk+ya1rbbnkwjheekpnbsbh10rykuzt-laqgpdanvhm...@mail.gmail.com%3E > On Aug 21, 2015 7:42 AM, "Virgil Palanciuc" <vir...@palanciuc.eu> wrote: > >> Is there any reliable way to find out the number of executors >> programatically - regardless of how the job is run? A method that >> preferably works for spark-standalone, yarn, mesos, regardless whether the >> code runs from the shell or not? >> >> Things that I tried and don't work: >> - sparkContext.getExecutorMemoryStatus.size - 1 // works from the shell, >> does not work if task submitted via spark-submit >> - sparkContext.getConf.getInt("spark.executor.instances", 1) - doesn't >> work unless explicitly configured >> - call to http://master:8080/json (this used to work, but doesn't >> anymore?) >> >> I guess I could parse the output html from the Spark UI... but that seems >> dumb. is there really no better way? >> >> Thanks, >> Virgil. >> >> >>
