Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/15563#discussion_r86805324
--- Diff: docs/running-on-yarn.md ---
@@ -495,6 +495,15 @@ To use a custom metrics.properties for the application
master and executors, upd
name matches both the include and the exclude pattern, this file will be
excluded eventually.
</td>
</tr>
+<tr>
+ <td><code>spark.hadoop.callerContext</code></td>
--- End diff --
doesn't match above actual config spark.upstreamApp.callerContext. how
about: spark.log.callerContext
If I'm running spark in standalonde mode with master/worker and reading
from hdfs, the caller context would still work on the hdfs side, right? So
this isn't just a spark on yarn config and should move to general
configuration section but mention applies to yarn/hdfs.
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