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https://issues.apache.org/jira/browse/SPARK-33769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-33769:
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Assignee: Apache Spark
> improve the next-day function of the sql component to deal with Column type
> ---------------------------------------------------------------------------
>
> Key: SPARK-33769
> URL: https://issues.apache.org/jira/browse/SPARK-33769
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Chongguang LIU
> Assignee: Apache Spark
> Priority: Major
>
> Hello all,
>
> I used the function next_day in the spark SQL component and loved it:
> [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L3077]
>
> Actually the signature of this function is: def next_day(date: Column,
> dayOfWeek: String): Column.
> It accepts the dayOfWeek parameter as a String. However in my case, the
> dayOfWeek is in a Column, so different values for each row of the dataframe.
> So I had to use the NextDay function like this: NextDay(dateCol.expr,
> dayOfWeekCol.expr).
>
> My proposition is to add another signature for this function: def
> next_day(date: Column, dayOfWeek: Column): Column
>
> In fact it is already the case for some other functions in this scala object,
> exemple:
> def date_sub(start: Column, days: Int): Column = date_sub(start, lit(days))
> def date_sub(start: Column, days: Column): Column = withExpr \{
> DateSub(start.expr, days.expr) }
>
> or
>
> def add_months(startDate: Column, numMonths: Int): Column =
> add_months(startDate, lit(numMonths))
> def add_months(startDate: Column, numMonths: Column): Column = withExpr {
> AddMonths(startDate.expr, numMonths.expr)
> }
>
> I hope have explained my idea clearly. Let me know what are your opinions. If
> you are ok, I can submit a pull request with the necessary change.
>
> Kind regardes,
> Chongguang
>
>
>
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