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-rw-r--r--docs/running-on-yarn.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 4b3a49eca7..695813a2ba 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -79,16 +79,16 @@ Most of the configs are the same for Spark on YARN as for other deployment modes
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<td><code>spark.yarn.executor.memoryOverhead</code></td>
- <td>384</td>
+ <td>executorMemory * 0.07, with minimum of 384 </td>
<td>
- The amount of off heap memory (in megabytes) to be allocated per executor. This is memory that accounts for things like VM overheads, interned strings, other native overheads, etc.
+ The amount of off heap memory (in megabytes) to be allocated per executor. This is memory that accounts for things like VM overheads, interned strings, other native overheads, etc. This tends to grow with the executor size (typically 6-10%).
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<td><code>spark.yarn.driver.memoryOverhead</code></td>
- <td>384</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.
+ 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%).
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