Zoltán Zvara created SPARK-9599: ----------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org