Skip to content

[MINOR][DOCS] Add a note that 'spark.executor.pyspark.memory' is dependent on 'resource' #23664

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
HyukjinKwon wants to merge 4 commits into from
Closed

[MINOR][DOCS] Add a note that 'spark.executor.pyspark.memory' is dependent on 'resource' #23664

Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
fe41943
Add a note that 'spark.executor.pyspark.memory' is dependent on 'reso…
HyukjinKwon Jan 27, 2019
88e2aa1
Make the note style consistent
HyukjinKwon Jan 27, 2019
b24a4ac
Address comments
HyukjinKwon Jan 28, 2019
7fa33ed
Address comment
HyukjinKwon Jan 31, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Make the note style consistent
  • Loading branch information
@HyukjinKwon
HyukjinKwon committed Jan 27, 2019
commit 88e2aa10b4be9523dc54fa3b554b4b2ad0a1f8c3
10 changes: 6 additions & 4 deletions docs/configuration.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -190,9 +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.
NOTE: Python memory usage is dependent on Python's 'resource' module; therefore, the behaviors and limitations are inherited.
<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.
</td>
</tr>
<tr>
Expand Down Expand Up @@ -224,7 +225,8 @@ of the most common options to set are:
stored on disk. This should be on a fast, local disk in your system. It can also be a
comma-separated list of multiple directories on different disks.

NOTE: In Spark 1.0 and later this will be overridden by SPARK_LOCAL_DIRS (Standalone), MESOS_SANDBOX (Mesos) or
<br/>
<em>Note:</em> In Spark 1.0 and later this will be overridden by SPARK_LOCAL_DIRS (Standalone), MESOS_SANDBOX (Mesos) or
LOCAL_DIRS (YARN) environment variables set by the cluster manager.
</td>
</tr>
Expand Down