Nishkam Ravi 41a7cdf85d [SPARK-8881] [SPARK-9260] Fix algorithm for scheduling executors on workers ... Current scheduling algorithm allocates one core at a time and in doing so ends up ignoring spark.executor.cores. As a result, when spark.cores.max/spark.executor.cores (i.e, num_executors) < num_workers, executors are not launched and the app hangs. This PR fixes and refactors the scheduling algorithm. andrewor14 Author: Nishkam Ravi <nravi@cloudera.com> Author: nishkamravi2 <nishkamravi@gmail.com> Closes #7274 from nishkamravi2/master_scheduler and squashes the following commits: b998097 [nishkamravi2] Update Master.scala da0f491 [Nishkam Ravi] Update Master.scala 79084e8 [Nishkam Ravi] Update Master.scala 1daf25f [Nishkam Ravi] Update Master.scala f279cdf [Nishkam Ravi] Update Master.scala adec84b [Nishkam Ravi] Update Master.scala a06da76 [nishkamravi2] Update Master.scala 40c8f9f [nishkamravi2] Update Master.scala (to trigger retest) c11c689 [nishkamravi2] Update EventLoggingListenerSuite.scala 5d6a19c [nishkamravi2] Update Master.scala (for the purpose of issuing a retest) 2d6371c [Nishkam Ravi] Update Master.scala 66362d5 [nishkamravi2] Update Master.scala ee7cf0e [Nishkam Ravi] Improved scheduling algorithm for executors		2015-07-25 22:56:25 -07:00
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src	[SPARK-8881] [SPARK-9260] Fix algorithm for scheduling executors on workers	2015-07-25 22:56:25 -07:00
pom.xml	[SPARK-8401] [BUILD] Scala version switching build enhancements	2015-07-21 11:14:31 +01:00