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[Spark-1234] clean up text in running-on-yarn.md yarn-client section #130

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[Spark-1234] clean up text in running-on-yarn.md yarn-client section #130

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0309cf9
SPARK-1134 bug with ipython prevents non-interactive use with spark; …
Feb 27, 2014
98b3828
Cleaned up text of yarn-client instructions. [SPARK-1234]
Mar 12, 2014
1dfbc4d
fix typo in running-on-yarn default SPARK_MASTER_MEMORY values
Mar 20, 2014
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fix typo in running-on-yarn default SPARK_MASTER_MEMORY values
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Diana Carroll committed Mar 20, 2014
commit 1dfbc4dfc5592ef8ae363f975a8e23186ad2fac4
2 changes: 1 addition & 1 deletion docs/running-on-yarn.md
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Expand Up @@ -108,7 +108,7 @@ In order to tune worker core/number/memory etc. you need to export environment v
* `SPARK_WORKER_INSTANCES`, Number of workers to start (Default: 2)
* `SPARK_WORKER_CORES`, Number of cores for the workers (Default: 1)
* `SPARK_WORKER_MEMORY`, Memory per Worker (e.g. 1000M, 2G) (Default: 1G)
* `SPARK_MASTER_MEMORY`, Memory for Master (e.g. 1000M, 2G) (Default: 512 M)
* `SPARK_MASTER_MEMORY`, Memory for Master (e.g. 1000M, 2G) (Default: 512M)
* `SPARK_YARN_APP_NAME`, The name of your application (Default: Spark)
* `SPARK_YARN_QUEUE`, The hadoop queue to use for allocation requests (Default: 'default')
* `SPARK_YARN_DIST_FILES`, Comma separated list of files to be distributed with the job.
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