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Posted to commits@spark.apache.org by an...@apache.org on 2015/07/09 22:21:26 UTC

spark git commit: [SPARK-8953] SPARK_EXECUTOR_CORES is not read in SparkSubmit

Repository: spark
Updated Branches:
  refs/heads/master 7ce3b818f -> 930fe9535


[SPARK-8953] SPARK_EXECUTOR_CORES is not read in SparkSubmit

The configuration ```SPARK_EXECUTOR_CORES``` won't put into ```SparkConf```, so it has no effect to the dynamic executor allocation.

Author: xutingjun <xu...@huawei.com>

Closes #7322 from XuTingjun/SPARK_EXECUTOR_CORES and squashes the following commits:

2cafa89 [xutingjun] make SPARK_EXECUTOR_CORES has effect to dynamicAllocation


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/930fe953
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/930fe953
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/930fe953

Branch: refs/heads/master
Commit: 930fe95350f8865e2af2d7afa5b717210933cd43
Parents: 7ce3b81
Author: xutingjun <xu...@huawei.com>
Authored: Thu Jul 9 13:21:10 2015 -0700
Committer: Andrew Or <an...@databricks.com>
Committed: Thu Jul 9 13:21:14 2015 -0700

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 .../main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala   | 1 +
 1 file changed, 1 insertion(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/930fe953/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
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diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
index 73ab183..6e3c0b2 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
@@ -162,6 +162,7 @@ private[deploy] class SparkSubmitArguments(args: Seq[String], env: Map[String, S
       .orNull
     executorCores = Option(executorCores)
       .orElse(sparkProperties.get("spark.executor.cores"))
+      .orElse(env.get("SPARK_EXECUTOR_CORES"))
       .orNull
     totalExecutorCores = Option(totalExecutorCores)
       .orElse(sparkProperties.get("spark.cores.max"))


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