[jira] [Created] (SPARK-9599) Dynamically partitioning based on key-distribution

["Zoltán Zvara (JIRA)" <ji...@apache.org>]

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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