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`?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
