Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/895#discussion_r13527285
--- Diff: docs/configuration.md ---
@@ -776,6 +776,34 @@ Apart from these, the following properties are also
available, and may be useful
higher memory usage in Spark.
</td>
</tr>
+<tr>
--- End diff --
I do have a concern about having too many parameters. It gets on the nerves
if one has to configure too many parameters. AndI am thinking of reducing the
parameters you propose by one.
```
spark.executor.logs.rolling.strategy: [none]/time/size (can extended later
by time+size composite strategies)
spark.executor.logs.rolling.time.interval: [daily]/<seconds>
spark.executor.logs.rolling.size.maxBytes: [1024 * 1024]
spark.executor.logs.rolling.maxRetainedFiles: [disabled]
```
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