Zoltán Zvara created SPARK-9599:
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Summary: Dynamically partitioning based on key-distribution
Key: SPARK-9599
URL: https://issues.apache.org/jira/browse/SPARK-9599
Project: Spark
Issue Type: Improvement
Components: Shuffle, Spark Core
Affects Versions: 1.4.1
Reporter: Zoltán Zvara
When - for example - using {{groupByKey}} operator with default
{{HashPartitioner}}, there might be a case when heavy keys get partitioned into
the same bucket, later raising an OOM error at the result partition. A
domain-based partitioner might not be able to help, when the outstanding
key-distribution changes from time to time (for example while dealing with data
streams).
Spark should identify these situations and change the partitioning accordingly
when a partitioning would raise an OOM later.
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