[GitHub] HyukjinKwon commented on a change in pull request #23664: [MINOR][DOCS] Add a note that 'spark.executor.pyspark.memory' is dependent on 'resource'

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HyukjinKwon commented on a change in pull request #23664: [MINOR][DOCS] Add a note that 'spark.executor.pyspark.memory' is dependent on 'resource'
URL: https://github.com/apache/spark/pull/23664#discussion_r251272708
 
 

 ##########
 File path: docs/configuration.md
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 @@ -190,8 +190,10 @@ of the most common options to set are:
     and it is up to the application to avoid exceeding the overhead memory space
     shared with other non-JVM processes. When PySpark is run in YARN or Kubernetes, this memory
     is added to executor resource requests.
-
-    NOTE: Python memory usage may not be limited on platforms that do not support resource limiting, such as Windows.
+    <br/>
+    <em>Note:</em> Python memory usage may not be limited on platforms that do not support resource limiting, such as Windows.
+    <br/>
+    <em>Note:</em> Python memory usage is dependent on Python's 'resource' module; therefore, the behaviors and limitations are inherited.
 
 Review comment:
   Yup

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