Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/649#discussion_r12294032
--- Diff:
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnableUtil.scala
---
@@ -85,25 +93,25 @@ trait ExecutorRunnableUtil extends Logging {
}
*/
- val commands = List[String](
- Environment.JAVA_HOME.$() + "/bin/java" +
- " -server " +
+ val commands = Seq(Environment.JAVA_HOME.$() + "/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' " +
- JAVA_OPTS +
- " org.apache.spark.executor.CoarseGrainedExecutorBackend " +
- masterAddress + " " +
- slaveId + " " +
- hostname + " " +
- executorCores +
- " 1> " + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/stdout" +
- " 2> " + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/stderr")
-
- commands
+ "-XX:OnOutOfMemoryError='kill %p'") ++
+ JAVA_OPTS ++
+ Seq("org.apache.spark.executor.CoarseGrainedExecutorBackend",
+ masterAddress.toString,
+ slaveId.toString,
+ hostname.toString,
+ executorCores.toString,
+ "1>", ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/stdout",
+ "2>", ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/stderr")
+
+ // TODO: it would be nicer to just make sure there are no null
commands here
+ commands.map(s => if (s == null) "null" else s).toList
--- End diff --
Does it make sense to exclude null commands altogether?
`commands.flatMap(Option(_))`, or if that's too much magic,
`commands.filter(_ != null)`
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