Frank Millman schrieb am 19.03.2021 um 10:16:
Very often "distinct on ()" is faster in Postgres compared to the equivalent
solution using window functions
The two derived tables (cl_bal, op_bal) seem to be doing exactly the same thing
- at least I can't spot a difference.
If that is correct, you can move them into a common table expression - maybe
detecting that is SQL Server's secret sauce.
There is a difference.
cl_bal selects WHERE tran_date <= '2018-03-31'.
op_bal selects WHERE tran_date < '2018-03-01'.
The second one could be written as WHERE tran_date <= '2018-02-28', but I don't
think that would make any difference.
I knew I overlooked something ;)
But as one is a true subset of the other, I think you can merge that into a
single SELECT statement:
select '2018-03-01' AS op_date,
'2018-03-31' AS cl_date,
a.source_code_id,
sum(a.tran_tot) AS cl_tot,
sum(a.tran_tot) filter (where tran_date < '2018-03-01') AS op_tot
FROM (
SELECT distinct on (location_row_id, function_row_id, source_code_id)
source_code_id, tran_tot, tran_date
FROM prop.ar_totals
WHERE deleted_id = 0
AND tran_date <= '2018-03-31'
AND ledger_row_id = 1
ORDER BY location_row_id, function_row_id, source_code_id, tran_date DESC
) AS a
GROUP BY a.source_code_id
