[jira] [Resolved] (SPARK-7683) Confusing behavior of fold function of RDD in pyspark

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-7683.
------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 10771
[https://github.com/apache/spark/pull/10771]

> Confusing behavior of fold function of RDD in pyspark
> -----------------------------------------------------
>
>                 Key: SPARK-7683
>                 URL: https://issues.apache.org/jira/browse/SPARK-7683
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 1.3.1
>            Reporter: Ai He
>            Priority: Minor
>              Labels: releasenotes
>             Fix For: 2.0.0
>
>
> This will make the “fold” function consistent with the "fold" in rdd.scala and other "aggregate" functions where “acc” goes first. Otherwise, users have to write a lambda function like “lambda x, y: op(y, x)” if they want to use “zeroValue” to change the result type.



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