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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/09/06 08:00:00 UTC

[jira] [Assigned] (SPARK-25353) Refactoring executeTake(n: Int) in SparkPlan

     [ https://issues.apache.org/jira/browse/SPARK-25353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-25353:
------------------------------------

    Assignee: Apache Spark

> Refactoring executeTake(n: Int) in SparkPlan
> --------------------------------------------
>
>                 Key: SPARK-25353
>                 URL: https://issues.apache.org/jira/browse/SPARK-25353
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Dooyoung Hwang
>            Assignee: Apache Spark
>            Priority: Major
>
> In some cases, executeTake in SparkPlan could deserialize more than necessary.
> For example, df.limit(1000).collect() is executed.
>   +- executeTake in SparkPlan is called with arg 1000.
>       +- If total rows count from partitions is 2000, executeTake deserialize them and create array of InternalRow whose size is 2000.
>       +- Slice the first 1000 rows, and return them. 1000 rows in the rear are not used.
>  



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