Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/120#discussion_r10486920
--- Diff: docs/running-on-yarn.md ---
@@ -100,12 +100,12 @@ With yarn-client mode, the application will be
launched locally, just like runni
Configuration in yarn-client mode:
-In order to tune worker cores/number/memory etc., you need to export
environment variables or add them to the spark configuration file
(./conf/spark_env.sh). The following are the list of options.
+In order to tune executor cores/number/memory etc., you need to export
environment variables or add them to the spark configuration file
(./conf/spark_env.sh). The following are the list of options.
-* `SPARK_WORKER_INSTANCES`, Number of executors to start (Default: 2)
-* `SPARK_WORKER_CORES`, Number of cores per executor (Default: 1).
-* `SPARK_WORKER_MEMORY`, Memory per executor (e.g. 1000M, 2G) (Default: 1G)
-* `SPARK_MASTER_MEMORY`, Memory for Master (e.g. 1000M, 2G) (Default: 512
Mb)
+* `SPARK_EXECUTOR_INSTANCES`, Number of executors to start (Default: 2)
+* `SPARK_EXECUTOR_CORES`, Number of cores per executor (Default: 1).
+* `SPARK_EXECUTOR_MEMORY`, Memory per executor (e.g. 1000M, 2G) (Default:
1G)
+* `SPARK_AM_MEMORY`, Memory for application master (e.g. 1000M, 2G)
(Default: 512 Mb)
--- End diff --
`SPARK_DRIVER_MEMORY`?
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