Raymond Liu ab3cefde53 Add YarnClientClusterScheduler and Backend. ... With this scheduler, the user application is launched locally, While the executor will be launched by YARN on remote nodes. This enables spark-shell to run upon YARN.		2013-11-22 09:23:27 +08:00
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src	Add YarnClientClusterScheduler and Backend.	2013-11-22 09:23:27 +08:00
pom.xml	Allow spark on yarn to be run from HDFS. Allows the spark.jar, app.jar, and log4j.properties to be put into hdfs.	2013-11-04 16:16:28 -06:00