[
https://issues.apache.org/jira/browse/SPARK-35207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-35207:
------------------------------------
Assignee: Apache Spark
> hash() and other hash builtins do not normalize negative zero
> -------------------------------------------------------------
>
> Key: SPARK-35207
> URL: https://issues.apache.org/jira/browse/SPARK-35207
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.1
> Reporter: Tim Armstrong
> Assignee: Apache Spark
> Priority: Major
> Labels: correctness
>
> I would generally expect that {{x = y => hash( x ) = hash( y )}}. However +-0
> hash to different values for floating point types.
> {noformat}
> scala> spark.sql("select hash(cast('0.0' as double)), hash(cast('-0.0' as
> double))").show
> +-------------------------+--------------------------+
> |hash(CAST(0.0 AS DOUBLE))|hash(CAST(-0.0 AS DOUBLE))|
> +-------------------------+--------------------------+
> | -1670924195| -853646085|
> +-------------------------+--------------------------+
> scala> spark.sql("select cast('0.0' as double) == cast('-0.0' as
> double)").show
> +--------------------------------------------+
> |(CAST(0.0 AS DOUBLE) = CAST(-0.0 AS DOUBLE))|
> +--------------------------------------------+
> | true|
> +--------------------------------------------+
> {noformat}
> I'm not sure how likely this is to cause issues in practice, since only a
> limited number of calculations can produce -0 and joining or aggregating with
> floating point keys is a bad practice as a general rule, but I think it would
> be safer if we normalised -0.0 to +0.0.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
