[jira] [Resolved] (SPARK-28602) Recognize interval as a numeric type

["Kent Yao (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-28602?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kent Yao resolved SPARK-28602.
------------------------------
       Fix Version/s: 3.0.0
    Target Version/s: 3.0.0
          Resolution: Duplicate

> Recognize interval as a numeric type
> ------------------------------------
>
>                 Key: SPARK-28602
>                 URL: https://issues.apache.org/jira/browse/SPARK-28602
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Dylan Guedes
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Hello,
> Spark does not recognize `interval` type as a `numeric` one, which means that we can't use `interval` columns in aggregated functions. For instance, the following query works on PgSQL but does not work on Spark:
> {code:sql}SELECT i,AVG(cast(v as interval)) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) FROM (VALUES(1,'1 sec'),(2,'2 sec'),(3,NULL),(4,NULL)) t(i,v);{code}
> {code:sql}cannot resolve 'avg(CAST(`v` AS INTERVAL))' due to data type mismatch: function average requires numeric types, not interval; line 1 pos 9{code}
>  



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