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[SPARK-23285][K8S] Allow fractional values for spark.executor.cores #20460

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[SPARK-23285][K8S] Allow fractional values for spark.executor.cores #20460

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[SPARK-23285][K8S] Allow fractional values for spark.executor.cores
liyinan926 Jan 31, 2018
d9805c3
Addressed comments
liyinan926 Jan 31, 2018
44e489e
Fixed check in SparkConf
liyinan926 Feb 1, 2018
b21e864
Also allow spark.task.cpus to have fractional values
liyinan926 Feb 2, 2018
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2 changes: 1 addition & 1 deletion core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
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Expand Up @@ -267,7 +267,7 @@ private[deploy] class SparkSubmitArguments(args: Seq[String], env: Map[String, S
&& Try(JavaUtils.byteStringAsBytes(executorMemory)).getOrElse(-1L) <= 0) {
SparkSubmit.printErrorAndExit("Executor Memory cores must be a positive number")
}
if (executorCores != null && Try(executorCores.toInt).getOrElse(-1) <= 0) {
if (executorCores != null && Try(executorCores.toDouble).getOrElse(-1d) <= 0d) {
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@srowen srowen Feb 1, 2018

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Although I think "0.0" is more readable than "0d", don't bother changing it here. Just an aside

SparkSubmit.printErrorAndExit("Executor cores must be a positive number")
}
if (totalExecutorCores != null && Try(totalExecutorCores.toInt).getOrElse(-1) <= 0) {
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5 changes: 3 additions & 2 deletions docs/configuration.md
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Expand Up @@ -1220,14 +1220,15 @@ Apart from these, the following properties are also available, and may be useful
<tr>
<td><code>spark.executor.cores</code></td>
<td>
1 in YARN mode, all the available cores on the worker in
1 in YARN and Kubernetes modes, all the available cores on the worker in
standalone and Mesos coarse-grained modes.
</td>
<td>
The number of cores to use on each executor.

In standalone and Mesos coarse-grained modes, for more detail, see
<a href="spark-standalone.html#Executors Scheduling">this description</a>.
<a href="spark-standalone.html#Executors Scheduling">this description</a>. In Kubernetes mode,
a fractional value can be used, e.g., 0.1 (100 millicpus).
</td>
</tr>
<tr>
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