beliefer commented on a change in pull request #25309: [SPARK-28577][YARN]Resource capability requested for each executor add offHeapMemorySize URL: https://github.com/apache/spark/pull/25309#discussion_r319339008
########## File path: docs/configuration.md ########## @@ -250,17 +250,17 @@ of the most common options to set are: <td><code>spark.executor.memoryOverhead</code></td> <td>executorMemory * 0.10, with minimum of 384 </td> <td> - Amount of non-heap memory to be allocated per executor process in cluster mode, in MiB unless + Amount of additional memory to be allocated per executor process in cluster mode, in MiB unless otherwise specified. 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%). This option is currently supported on YARN and Kubernetes. <br/> - <em>Note:</em> Non-heap memory includes off-heap memory - (when <code>spark.memory.offHeap.enabled=true</code>) and memory used by other executor processes - (e.g. python process that goes with a PySpark executor) and memory used by other non-executor - processes running in the same container. The maximum memory size of container to running executor - is determined by the sum of <code>spark.executor.memoryOverhead</code> and - <code>spark.executor.memory</code>. + <em>Note:</em> Additional memory includes PySpark executor memory Review comment: I know the meaning of this PR. Maybe the new idea is a way. As I know, the origin decision is to unify all the different part. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org