ulysses-you commented on a change in pull request #32184:
URL: https://github.com/apache/spark/pull/32184#discussion_r692598890
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File path: docs/job-scheduling.md
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@@ -252,10 +252,11 @@ properties:
The pool properties can be set by creating an XML file, similar to
`conf/fairscheduler.xml.template`,
and either putting a file named `fairscheduler.xml` on the classpath, or
setting `spark.scheduler.allocation.file` property in your
-[SparkConf](configuration.html#spark-properties).
+[SparkConf](configuration.html#spark-properties). The file path can either be
a local file path or HDFS file path.
Review comment:
@HyukjinKwon sorry, not sure I get your point.
> So, if users from old Spark versions use a path like /path/to/file, the
files will be written into HDFS after the upgrade.
Why we need to write files into HDFS ? This PR is to support read remote
file as the schedule pool. I think there is no behavior change but just a new
feature.
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