[
https://issues.apache.org/jira/browse/SPARK-58044?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18094647#comment-18094647
]
Rakesh Raushan commented on SPARK-58044:
----------------------------------------
I am working on it
> Support TIME datatype in AVG()
> ------------------------------
>
> Key: SPARK-58044
> URL: https://issues.apache.org/jira/browse/SPARK-58044
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.3.0
> Reporter: Rakesh Raushan
> Priority: Major
>
> AVG() expects NumericType,YearMonthIntervalType and DayTimeIntervalType as
> input. It throws error for Time datatype as it assumes Time datatype is not
> quantifiable.
> Time is internally stored as a long value only which can be quantified and
> average can be computed for time datatype as well.
> Other aggregate functions like min(), max(), percentile(),
> approx_percentile(), etc are already supported.
>
> Currently if a user wants to calculate average on time column, user has to
> cast it to numeric type, calculate average and then cast back to time type.
> Supporting TIME datatype columns as native types in AVG() would allow users
> to write cleaner and error free code.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
