Following is a method that retrieves the list of executors registered to a
spark context. It worked perfectly with spark-submit in standalone mode for my
project.
/** * A simplified method that just returns the current active/registered
executors * excluding the driver. * @param sc * The spark
context to retrieve registered executors. * @return * A list of
executors each in the form of host:port. */ def currentActiveExecutors(sc:
SparkContext): Seq[String] = { val allExecutors =
sc.getExecutorMemoryStatus.map(_._1) val driverHost: String =
sc.getConf.get("spark.driver.host") allExecutors.filter(!
_.split(":")(0).equals(driverHost)).toList }
On Friday, August 21, 2015 1:53 PM, Virgil Palanciuc <[email protected]>
wrote:
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 <[email protected]> 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.htmlhttp://mail-archives.us.apache.org/mod_mbox/spark-user/201411.mbox/%3ccacbyxk+ya1rbbnkwjheekpnbsbh10rykuzt-laqgpdanvhm...@mail.gmail.com%3EOn
Aug 21, 2015 7:42 AM, "Virgil Palanciuc" <[email protected]> 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.
