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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-7683) Confusing behavior of fold function of RDD in pyspark
Date Fri, 15 Jan 2016 12:52:39 GMT

    [ https://issues.apache.org/jira/browse/SPARK-7683?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15101728#comment-15101728
] 

Apache Spark commented on SPARK-7683:
-------------------------------------

User 'srowen' has created a pull request for this issue:
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
>
> 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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