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https://issues.apache.org/jira/browse/SPARK-28433?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16976481#comment-16976481
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zhao bo commented on SPARK-28433:
---------------------------------
https://github.com/apache/spark/pull/25186
> Incorrect assertion in scala test for aarch64 platform
> ------------------------------------------------------
>
> Key: SPARK-28433
> URL: https://issues.apache.org/jira/browse/SPARK-28433
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: huangtianhua
> Assignee: huangtianhua
> Priority: Minor
> Fix For: 3.0.0
>
>
> We ran unit tests of spark on aarch64 server, here are two sql scala tests
> failed:
> - SPARK-26021: NaN and -0.0 in grouping expressions *** FAILED ***
> 2143289344 equaled 2143289344 (DataFrameAggregateSuite.scala:732)
> - NaN and -0.0 in window partition keys *** FAILED ***
> 2143289344 equaled 2143289344 (DataFrameWindowFunctionsSuite.scala:704)
> we found the values of floatToRawIntBits(0.0f / 0.0f) and
> floatToRawIntBits(Float.NaN) on aarch64 are same(2143289344), first we
> thought it's something about jdk or scala, but after discuss with jdk-dev and
> scala community see
> https://users.scala-lang.org/t/the-value-of-floattorawintbits-0-0f-0-0f-is-different-on-x86-64-and-aarch64-platforms/4845
> , we believe the value depends on the architecture.
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