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https://issues.apache.org/jira/browse/SPARK-4398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14212014#comment-14212014
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Apache Spark commented on SPARK-4398:
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User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/3264
> Specialize rdd.parallelize for xrange
> -------------------------------------
>
> Key: SPARK-4398
> URL: https://issues.apache.org/jira/browse/SPARK-4398
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
>
> sc.parallelize(range) is slow, which writes to disk. We should specialize
> xrange for performance.
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