Hi Arun!
I think you can find info at
https://spark.apache.org/docs/latest/configuration.html
quote:
Spark provides three locations to configure the system:
* Spark properties
https://spark.apache.org/docs/latest/configuration.html#spark-propertiescontrol
most application parameters and can be set by using aSparkConf
https://spark.apache.org/docs/latest/api/core/index.html#org.apache.spark.SparkConfobject,
or through Java system properties.
* Environment variables
https://spark.apache.org/docs/latest/configuration.html#environment-variablescan
be used to set per-machine settings, such as the IP address,
through the|conf/spark-env.sh|script on each node.
* Logging
https://spark.apache.org/docs/latest/configuration.html#configuring-loggingcan
be configured through|log4j.properties|.
for your question I guess you can use
|spark.executor.extraJavaOptions| (none) A string of extra JVM options
to pass to executors. For instance, GC settings or other logging. Note
that it is illegal to set Spark properties or heap size settings with
this option. Spark properties should be set using a SparkConf object or
the spark-defaults.conf file used with the spark-submit script. Heap
size settings can be set with spark.executor.memory.
you can find it at Runtime Environment
Larry
On 9/24/14 10:52 PM, Arun Ahuja wrote:
What is the proper way to specify java options for the Spark executors
using spark-submit? We had done this previously using
export SPARK_JAVA_OPTS='..
previously, for example to attach a debugger to each executor or add
-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps
On spark-submit I see --driver-java-options but is there an equivalent
for individual executors?
Thanks,
Arun
