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https://issues.apache.org/jira/browse/SPARK-31306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler resolved SPARK-31306.
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Resolution: Fixed
Issue resolved by pull request 28071
https://github.com/apache/spark/pull/28071
> rand() function documentation suggests an inclusive upper bound of 1.0
> ----------------------------------------------------------------------
>
> Key: SPARK-31306
> URL: https://issues.apache.org/jira/browse/SPARK-31306
> Project: Spark
> Issue Type: Documentation
> Components: PySpark, R, Spark Core
> Affects Versions: 2.4.5, 3.0.0
> Reporter: Ben
> Priority: Major
>
> The rand() function in PySpark, Spark, and R is documented as drawing from
> U[0.0, 1.0]. This suggests an inclusive upper bound, and can be confusing
> (i.e for a distribution written as `X ~ U(a, b)`, x can be a or b, so writing
> `U[0.0, 1.0]` suggests the value returned could include 1.0). The function
> itself uses Rand(), which is [documented |#L71] as having a result in the
> range [0, 1).
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