dongjoon-hyun commented on a change in pull request #30903:
URL: https://github.com/apache/spark/pull/30903#discussion_r547782377
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File path: docs/core-migration-guide.md
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@@ -30,6 +30,8 @@ license: |
- In Spark 3.0 and below, `SparkContext` can be created in executors. Since
Spark 3.1, an exception will be thrown when creating `SparkContext` in
executors. You can allow it by setting the configuration
`spark.executor.allowSparkContext` when creating `SparkContext` in executors.
+- In Spark 3.0 and below, it propagated the Hadoop class path from
`yarn.application.classpath` and `mapreduce.application.classpath` into the
Spark application submitted to YARN when Spark distribution is with the
built-in Hadoop. Since Spark 3.1, it does not propagate anymore when the Spark
distribution is with the built-in Hadoop in order to prevent the failure from
the different transitive dependencies picked up from the Hadoop cluster such as
Guava and Jackson. To restore the behavior before Spark 3.1, you can set
`spark.yarn.populateHadoopClasspath` to `true`.
Review comment:
`it propagated` -> `Spark propagated`?
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