10129659 acd208ee50 [SPARK-21115][CORE] If the cores left is less than the coresPerExecutor,the cores left will not be allocated, so it should not to check in every schedule ... ## What changes were proposed in this pull request? If we start an app with the param --total-executor-cores=4 and spark.executor.cores=3, the cores left is always 1, so it will try to allocate executors in the function org.apache.spark.deploy.master.startExecutorsOnWorkers in every schedule. Another question is, is it will be better to allocate another executor with 1 core for the cores left. ## How was this patch tested? unit test Author: 10129659 <chen.yanshan@zte.com.cn> Closes #18322 from eatoncys/leftcores.		2017-06-23 20:53:26 +08:00
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src	[SPARK-21115][CORE] If the cores left is less than the coresPerExecutor,the cores left will not be allocated, so it should not to check in every schedule	2017-06-23 20:53:26 +08:00
pom.xml	[SPARK-20434][YARN][CORE] Move Hadoop delegation token code from yarn to core	2017-06-15 11:46:00 -07:00