[ https://issues.apache.org/jira/browse/SPARK-17506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17506:
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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：
> {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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