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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/12/30 16:11:00 UTC

[jira] [Assigned] (SPARK-30339) Avoid to fail twice in function lookup

     [ https://issues.apache.org/jira/browse/SPARK-30339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon reassigned SPARK-30339:
------------------------------------

    Assignee: Zhenhua Wang

> Avoid to fail twice in function lookup
> --------------------------------------
>
>                 Key: SPARK-30339
>                 URL: https://issues.apache.org/jira/browse/SPARK-30339
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.5, 3.0.0
>            Reporter: Zhenhua Wang
>            Assignee: Zhenhua Wang
>            Priority: Minor
>
> Currently if function lookup fails, spark will give it a second change by casting decimal type to double type. But for cases where decimal type doesn't exist, it's meaningless to lookup again and causes extra cost like unnecessary metastore access. We should throw exceptions directly in these cases.



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