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https://issues.apache.org/jira/browse/ARROW-13548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Li updated ARROW-13548:
-----------------------------
    Description: 
Add a kernel to compute the number of years, months, weeks, days, hours, 
minutes, (micro/milli/nano)seconds, or quarters between two timestamps. 

This should act like SQL's DATEDIFF ([SQL 
Server|https://docs.microsoft.com/en-us/sql/t-sql/functions/datediff-transact-sql?view=sql-server-ver15]).
 Pandas doesn't have a convenient equivalent except in the case of days 
(pd.Timedelta.days) but it can be [calculated using 
Timestamp.to_period|https://stackoverflow.com/questions/54171674/calculating-the-amount-of-full-months-between-two-dates].

We have hinnant's date library vendored and this should hopefully be 
implementable with that.

  was:
Add a kernel to convert a timedelta into a number of years, months, weeks, 
days, hours, minutes, (micro/milli/nano)seconds, or quarters.

This should act like SQL's DATEDIFF/EXTRACT ([SQL 
Server|https://docs.microsoft.com/en-us/sql/t-sql/functions/datediff-transact-sql?view=sql-server-ver15],
 
[Postgres|https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-EXTRACT]).
 Pandas doesn't have a convenient equivalent except in the case of days 
(pd.Timedelta.days).

We have hinnant's date library vendored and this should hopefully be 
implementable with that.


> [C++] Implement datediff kernel
> -------------------------------
>
>                 Key: ARROW-13548
>                 URL: https://issues.apache.org/jira/browse/ARROW-13548
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++
>            Reporter: David Li
>            Priority: Major
>              Labels: compute
>
> Add a kernel to compute the number of years, months, weeks, days, hours, 
> minutes, (micro/milli/nano)seconds, or quarters between two timestamps. 
> This should act like SQL's DATEDIFF ([SQL 
> Server|https://docs.microsoft.com/en-us/sql/t-sql/functions/datediff-transact-sql?view=sql-server-ver15]).
>  Pandas doesn't have a convenient equivalent except in the case of days 
> (pd.Timedelta.days) but it can be [calculated using 
> Timestamp.to_period|https://stackoverflow.com/questions/54171674/calculating-the-amount-of-full-months-between-two-dates].
> We have hinnant's date library vendored and this should hopefully be 
> implementable with that.



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