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Posted to jira@arrow.apache.org by "David Li (Jira)" <ji...@apache.org> on 2021/08/04 13:18:00 UTC
[jira] [Updated] (ARROW-13548) [C++] Implement datediff kernel
[ https://issues.apache.org/jira/browse/ARROW-13548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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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