Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/20460#discussion_r165221518
--- Diff: docs/configuration.md ---
@@ -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 or 100m.
--- End diff --
100m isn't fractional though?
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