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https://issues.apache.org/jira/browse/SPARK-11812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-11812:
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Assignee: David Tolpin
> pyspark reduceByKeyAndWindow does not handle unspecified invFunc
> (invFunc=None)
> -------------------------------------------------------------------------------
>
> Key: SPARK-11812
> URL: https://issues.apache.org/jira/browse/SPARK-11812
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.5.2
> Reporter: David Tolpin
> Assignee: David Tolpin
> Fix For: 1.3.2, 1.4.2, 1.5.3, 1.6.0
>
>
> invFunc is optional and can be None. Instead of invFunc (the parameter)
> invReduceFunc (a local function) was checked for trueness (that is, not None,
> in this context). A local function is never None,
> thus the case of invFunc=none (a common one when inverse reduction is not
> defined) is treated incorrectly, resulting in loss of data.
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