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https://issues.apache.org/jira/browse/SPARK-50561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-50561.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49237
[https://github.com/apache/spark/pull/49237]
> uniform() causes internal error with floating point seed
> --------------------------------------------------------
>
> Key: SPARK-50561
> URL: https://issues.apache.org/jira/browse/SPARK-50561
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 4.0.0
> Reporter: Serge Rielau
> Assignee: Daniel
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> SELECT uniform(10::float, -10::double, 1.0::float) FROM VALUES(1), (2), (3),
> (4), (5), (6), (7);
> [[INTERNAL_ERROR|https://docs.databricks.com/error-messages/error-classes.html#internal_error]]
> The Spark SQL phase analysis failed with an internal error. You hit a bug in
> Spark or the Spark plugins you use. Please, report this bug to the
> corresponding communities or vendors, and provide the full stack trace.
> SQLSTATE: XX000
> Presumable were missing a check to disallow float?
> generally it is a question whether we should be more aggressive in casting.
> E.g. we do support substr('hello', 1.0, 1.0).
> thsi applies to allowing DECIMAL arguments for the range as well as simply
> casting the seed to an integral number.
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