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[SPARK-35083][CORE] Support remote scheduler pool files #32184
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Original file line number | Diff line number | Diff line change |
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@@ -256,6 +256,7 @@ and either putting a file named `fairscheduler.xml` on the classpath, or setting | |
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{% highlight scala %} | ||
conf.set("spark.scheduler.allocation.file", "/path/to/file") | ||
conf.set("spark.scheduler.allocation.file", "hdfs:///path/to/file") | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think HDFS also supports reading the local file. Could you mention it in the above document? e.g., "The file path can either be a local file path or HDFS file path." |
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{% endhighlight %} | ||
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The format of the XML file is simply a `<pool>` element for each pool, with different elements | ||
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This code can do many things. Please see my above comment. (#32184 (comment))