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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-24007) EqualNullSafe for FloatType and DoubleType might generate a wrong result by codegen.
Date Wed, 18 Apr 2018 06:03:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-24007:
------------------------------------

    Assignee: Apache Spark  (was: Takuya Ueshin)

> EqualNullSafe for FloatType and DoubleType might generate a wrong result by codegen.
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-24007
>                 URL: https://issues.apache.org/jira/browse/SPARK-24007
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2, 2.1.2, 2.2.1, 2.3.0
>            Reporter: Takuya Ueshin
>            Assignee: Apache Spark
>            Priority: Major
>              Labels: correctness
>
> {{EqualNullSafe}} for {{FloatType}} and {{DoubleType}} might generate a wrong result
by codegen.
> {noformat}
> scala> val df = Seq((Some(-1.0d), None), (None, Some(-1.0d))).toDF()
> df: org.apache.spark.sql.DataFrame = [_1: double, _2: double]
> scala> df.show()
> +----+----+
> |  _1|  _2|
> +----+----+
> |-1.0|null|
> |null|-1.0|
> +----+----+
> scala> df.filter("_1 <=> _2").show()
> +----+----+
> |  _1|  _2|
> +----+----+
> |-1.0|null|
> |null|-1.0|
> +----+----+
> {noformat}
> The result should be empty but the result remains two rows.



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