it seems it is hardcoded in ExecutorRunnable.scala :
val commands = prefixEnv ++ Seq(
YarnSparkHadoopUtil.expandEnvironment(Environment.JAVA_HOME) +
"/bin/java",
"-server",
// Kill if OOM is raised - leverage yarn's failure handling to cause
rescheduling.
// Not killing the task leaves various aspects of the executor and (to
some extent) the jvm in
// an inconsistent state.
// TODO: If the OOM is not recoverable by rescheduling it on different
node, then do
// 'something' to fail job ... akin to blacklisting trackers in mapred
?
"-XX:OnOutOfMemoryError='kill %p'") ++
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