There are two related options:
To solve your problem directly try:
val conf = new SparkConf().set("spark.yarn.driver.memoryOverhead", "1024")
val sc = new SparkContext(conf)
And the second, which increases the overall memory available on the driver, as
part of your spark-submit script add:
--driver-memory 2g
Hope this helps!
From: David McWhorter <mcwhor...@ccri.com<mailto:mcwhor...@ccri.com>>
Date: Monday, January 12, 2015 at 11:01 AM
To: "user@spark.apache.org<mailto:user@spark.apache.org>"
<user@spark.apache.org<mailto:user@spark.apache.org>>
Subject: configuring spark.yarn.driver.memoryOverhead on Spark 1.2.0
Hi all,
I'm trying to figure out how to set this option: "
spark.yarn.driver.memoryOverhead" on Spark 1.2.0. I found this helpful
overview
http://apache-spark-user-list.1001560.n3.nabble.com/Stable-spark-streaming-app-td14105.html#a14476,
which suggests to launch with --spark.yarn.driver.memoryOverhead 1024 added to
spark-submit. However, when I do that I get this error:
Error: Unrecognized option '--spark.yarn.driver.memoryOverhead'.
Run with --help for usage help or --verbose for debug output
I have also tried calling sparkConf.set("spark.yarn.driver.memoryOverhead",
"1024") on my spark configuration object but I still get "Will allocate AM
container, with XXXX MB memory including 384 MB overhead" when launching. I'm
running in yarn-cluster mode.
Any help or tips would be appreciated.
Thanks,
David
--
David McWhorter
Software Engineer
Commonwealth Computer Research, Inc.
1422 Sachem Place, Unit #1
Charlottesville, VA 22901
mcwhor...@ccri.com<mailto:mcwhor...@ccri.com> | 434.299.0090x204
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