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https://issues.apache.org/jira/browse/SPARK-7683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-7683:
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Target Version/s: 2+
To be clear the change being tracked here is to swap the order of arguments
that Pyspark passes to fold() in order to be consistent with Scala, but which
can't obviously be done without maybe breaking a user program.
> 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: Bug
> Components: PySpark
> Affects Versions: 1.3.1
> Reporter: Ai He
> Priority: Minor
>
> 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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