Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/120#discussion_r10486890
--- Diff: docs/running-on-yarn.md ---
@@ -60,11 +60,11 @@ The command to launch the Spark application on the
cluster is as follows:
--jar <YOUR_APP_JAR_FILE> \
--class <APP_MAIN_CLASS> \
--args <APP_MAIN_ARGUMENTS> \
- --num-workers <NUMBER_OF_EXECUTORS> \
- --master-class <ApplicationMaster_CLASS>
- --master-memory <MEMORY_FOR_MASTER> \
- --worker-memory <MEMORY_PER_EXECUTOR> \
- --worker-cores <CORES_PER_EXECUTOR> \
+ --num-executors <NUMBER_OF_EXECUTOR_PROCESSES> \
+ --am-class <ApplicationMaster_CLASS>
--- End diff --
Ah sorry my bad it's actually an AM class. Just wondering, why is this an
option? Seems like this would only really work if they are using the Spark
ApplicationMaster.
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