Jason Aleksi wrote
> --Storing 30 day regression slopes into table (DOES NOT WORK)
> INSERT INTO historical_data_regr_slope (department_id, date,
> regr_slope30sales) (
> SELECT historical_data.department_id, historical_data.date,
> regr_slope(row_number(), historical_data.salesDollarK) OVER
> (PARTITION BY historical_data.department_id ORDER BY historical_data.date
> DESC ROWS BETWEEN 1 PRECEDING AND 29 FOLLOWING) AS regr_slope30sales
> FROM historical_data
> GROUP BY historical_data.department_id, historical_data.date,
> historical_data.salesDollarK
> ORDER BY historical_data.department_id, historical_data.date DESC
> )
>
> Any suggestions on how to auto-create the regr_slope X column?
You shoud be able to use a subquery to first generate the relevant row
numbers and then in the outer query apply the regr_slope function.
You could also try (theory here - the documentation should be improved in
this area) two applications of the OVER clause.
regr_expr( row_number() over (...), sales ) over (...)
You should probably define the window in the main body and refer to it by
name if you attempt this. I honestly have no idea if it will work but the
syntax you used before is defined as invalid because nothing can come
between the function and the OVER part; which negates the possibility of
using a single OVER to cover two functions.
I would suggest you not intermix window and group by until you get the
window working. Then put that into a cte/with and run the group by
separately - you might need to put the group by in the cte and the window in
the main query. That said I haven't fully contemplated what it is you are
attempting to calculate. Typically moving averages are not going to require
a group by clause...you just need to add a where clause that can filter out
the first N records where the number of input rows is less than N.
David J.
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