Jiang Xingbo created SPARK-23243:
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Summary: Shuffle+Repartition on an RDD could lead to incorrect
answers
Key: SPARK-23243
URL: https://issues.apache.org/jira/browse/SPARK-23243
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.2.0, 2.1.0, 2.0.0, 1.6.0, 2.3.0
Reporter: Jiang Xingbo
The RDD repartition also uses the round-robin way to distribute data, this can
also cause incorrect answers on RDD workload the similar way as in
https://issues.apache.org/jira/browse/SPARK-23207
The approach that fixes DataFrame.repartition() doesn't apply on the RDD
repartition issue, as discussed in
https://github.com/apache/spark/pull/20393#issuecomment-360912451
We track for alternative solutions for this issue in this task.
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