Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1460#discussion_r15207593
--- Diff: docs/configuration.md ---
@@ -195,6 +195,15 @@ Apart from these, the following properties are also
available, and may be useful
Spark's dependencies and user dependencies. It is currently an
experimental feature.
</td>
</tr>
+<tr>
+ <td><code>spark.python.worker.memory</code></td>
+ <td>512m</td>
+ <td>
+ Amount of memory to use per python worker process during aggregation,
in the same
+ format as JVM memory strings (e.g. <code>512m</code>,
<code>2g</code>). If the memory
+ used during aggregation go above this amount, it will spill the data
into disks.
--- End diff --
Small typo: go -> goes
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