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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-17506) Improve the check double values equality rule
Date Mon, 12 Sep 2016 15:41:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-17506:
------------------------------------

    Assignee: Apache Spark

> Improve the check double values equality rule
> ---------------------------------------------
>
>                 Key: SPARK-17506
>                 URL: https://issues.apache.org/jira/browse/SPARK-17506
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Jiang Xingbo
>            Assignee: Apache Spark
>            Priority: Critical
>
> In `ExpressionEvalHelper`, we check the equality between two double values by comparing
whether the expected value is within the range [target - tolerance, target + tolerance], but
this can cause a negative false when the compared numerics are very large. 
> For example´╝Ü
> {code}
> val1 = 1.6358558070241E306
> val2 = 1.6358558070240974E306
> ExpressionEvalHelper.compareResults(val1, val2)
> false
> {code}
> In fact, val1 and val2 are but with different precisions, we should tolerant this case.



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