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From Andrew Or <and...@databricks.com>
Subject Re: Use of SPARK_DAEMON_JAVA_OPTS
Date Wed, 23 Jul 2014 18:14:29 GMT
Hi Meethu,

SPARK_DAEMON_JAVA_OPTS is not intended for setting memory. Please use
SPARK_DAEMON_MEMORY instead. It turns out that java respects only the last
-Xms and -Xmx values, and in spark-class we put SPARK_DAEMON_JAVA_OPTS
before the SPARK_DAEMON_MEMORY. In general, memory configuration in spark
should not be done through any config or environment variable that
references "java opts".

Andrew


2014-07-23 1:04 GMT-07:00 MEETHU MATHEW <meethu2006@yahoo.co.in>:

>
>  Hi all,
>
> Sorry for taking this topic again,still I am confused on this.
>
> I set  SPARK_DAEMON_JAVA_OPTS="-XX:+UseCompressedOops -Xmx8g"
>
> when I run my application,I  got the following line in logs.
>
> Spark Command: java -cp
> ::/usr/local/spark-1.0.1/conf:/usr/local/spark-1.0.1/assembly/target/scala-2.10/spark-assembly-1.0.1-hadoop1.2.1.jar
> -XX:MaxPermSize=128m -XX:+UseCompressedOops -Xmx8g -Dspark.akka.logLifecycleEvents=true
> -Xms512m
> -Xmx512m org.apache.spark.deploy.worker.Worker spark://master:7077
>
>
> -Xmx is set twice. One from the SPARK_DAEMON_JAVA_OPTS .
> 2nd from bin/spark-class(from SPARK_DAEMON_MEMORY or DEFAULT_MEM).
>
> I believe that the second value will be taken in execution ie the one
> passed as SPARK_DAEMON _MEMORY or DEFAULT_MEM.
>
> So I would like to know what is the purpose of SPARK_DAEMON_JAVA_OPTS and
> how it is different from SPARK_DAEMON _MEMORY.
>
> Thanks & Regards,
> Meethu M
>

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