Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3607#discussion_r21706573
--- Diff: docs/running-on-yarn.md ---
@@ -88,7 +96,14 @@ Most of the configs are the same for Spark on YARN as
for other deployment modes
<td><code>spark.yarn.driver.memoryOverhead</code></td>
<td>driverMemory * 0.07, with minimum of 384 </td>
<td>
- The amount of off heap memory (in megabytes) to be allocated per
driver. This is memory that accounts for things like VM overheads, interned
strings, other native overheads, etc. This tends to grow with the container
size (typically 6-10%).
+ The amount of off heap memory (in megabytes) to be allocated for
driver with ApplicationMaster on cluster mode. This is memory that accounts for
things like VM overheads, interned strings, other native overheads, etc. This
tends to grow with the container size (typically 6-10%).
+ </td>
+</tr>
+<tr>
+ <td><code>spark.yarn.am.memoryOverhead</code></td>
+ <td>driverMemory * 0.07, with minimum of 384 </td>
+ <td>
+ The amount of off heap memory (in megabytes) to be allocated for
ApplicationMaster on client mode. This is memory that accounts for things like
VM overheads, interned strings, other native overheads, etc. This tends to grow
with the container size (typically 6-10%).
--- End diff --
"in client mode" instead of "on client mode"
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