Nishkam Ravi created SPARK-8881:
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Summary: Scheduling fails if num_executors < num_workers
Key: SPARK-8881
URL: https://issues.apache.org/jira/browse/SPARK-8881
Project: Spark
Issue Type: Bug
Components: Deploy
Affects Versions: 1.4.0, 1.5.0
Reporter: Nishkam Ravi
Current scheduling algorithm (in Master.scala) has two issues:
(i) cores are allocated one at a time instead of spark.executor.cores at a time
(ii) when spark.cores.max/spark.executor.cores < num_workers, executors are not
launched and the app hangs (due to (i))
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