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https://issues.apache.org/jira/browse/SPARK-25976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16680970#comment-16680970
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Hyukjin Kwon commented on SPARK-25976:
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Yea true in that way. I'm not underestimating the proposed one here but let's
only add them when it's absolutely needed. There are too many API requests and
there are too many API already exposed. We should reduce.
> Allow rdd.reduce on empty rdd by returning an Option[T]
> -------------------------------------------------------
>
> Key: SPARK-25976
> URL: https://issues.apache.org/jira/browse/SPARK-25976
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.3.2
> Reporter: Yuval Yaari
> Priority: Minor
>
> it is sometimes useful to let the user decide what value to return when
> reducing on an empty rdd.
> currently, if there is no data to reduce an UnsupportedOperationException is
> thrown.
> although user can catch that exception, it seems like a "shaky" solution as
> UnsupportedOperationException might be thrown from a different location.
> Instead, we can overload the reduce method by adding add a new method:
> reduce(f: (T, T) => T, defaultIfEmpty: () => T): T
> the reduce API will not be effected as it will simply call the second reduce
> method throwing an UnsupportedException as the default value
>
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