Barak, The SPARK_WORKER_MEMORYsetting is used for allocating memory to executors.
You can use SPARK_DAEMON_MEMORY to set memory for the worker JVM. Mohammed From: Barak Yaish [mailto:barak.ya...@gmail.com] Sent: Wednesday, January 13, 2016 12:59 AM To: user@spark.apache.org Subject: Spark ignores SPARK_WORKER_MEMORY? Hello, Although I'm setting SPARK_WORKER_MEMORY in spark-env.sh, looks like this setting is ignored. I can't find any indication at the scripts under bin/sbin that -Xms/-Xmx are set. If I ps the worker pid, it looks like memory set to 1G: [hadoop@sl-env1-hadoop1 spark-1.5.2-bin-hadoop2.6]$ ps -ef | grep 20232 hadoop 20232 1 0 02:01 ? 00:00:22 /usr/java/latest//bin/java -cp /workspace/3rd-party/spark/spark-1.5.2-bin-hadoop2.6/sbin/../conf/:/workspace/3rd-party/spark/spark-1.5.2-bin-hadoop2.6/lib/spark-assembly-1.5.2-hadoop2.6.0.jar:/workspace/3rd-party/spark/spark-1.5.2-bin-hadoop2.6/lib/datanucleus-api-jdo-3.2.6.jar:/workspace/3rd-party/spark/spark-1.5.2-bin-hadoop2.6/lib/datanucleus-rdbms-3.2.9.jar:/workspace/3rd-party/spark/spark-1.5.2-bin-hadoop2.6/lib/datanucleus-core-3.2.10.jar:/workspace/3rd-party/hadoop/2.6.3//etc/hadoop/ -Xms1g -Xmx1g org.apache.spark.deploy.worker.Worker --webui-port 8081 spark://10.52.39.92:7077<http://10.52.39.92:7077> Am I missing something? Thanks.
