[jira] [Assigned] (SPARK-50561) uniform() causes internal error with floating point seed

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-50561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan reassigned SPARK-50561:
-----------------------------------

    Assignee: Daniel

> 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
>
> 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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