[jira] [Commented] (SPARK-24659) GenericArrayData.equals should respect element type differences

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-24659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16523578#comment-16523578 ] 

Apache Spark commented on SPARK-24659:
--------------------------------------

User 'rednaxelafx' has created a pull request for this issue:
https://github.com/apache/spark/pull/21643

> GenericArrayData.equals should respect element type differences
> ---------------------------------------------------------------
>
>                 Key: SPARK-24659
>                 URL: https://issues.apache.org/jira/browse/SPARK-24659
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0, 2.3.1, 2.4.0
>            Reporter: Kris Mok
>            Priority: Major
>
> Right now, Spark SQL's {{GenericArrayData.equals}} doesn't always respect element type differences, due to a caveat in Scala's {{==}} operator.
> e.g. {{new GenericArrayData(Array[Int](123)).equals(new GenericArrayData(Array[Long](123L)))}} currently returns true. But that's against the semantics of Spark SQL's array type, where {{array<int>}} and {{array<long>}} are considered to be incompatible types and thus should never be equal.
> This ticket proposes to fix the implementation of {{GenericArrayData.equals}} so that it's more aligned to Spark SQL's array type semantics.



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