Microsoft Access - Sub Query running very slow
I am trying to pull together a rolling 12 month total for each customer at each period end. The Periods table has a line for each customer for each required period.
The query is as follows - which works but runs extremely slowly.
SELECT Periods.LTM_Start, Periods.Period_End, Periods.sa_account,
(SELECT Sum(sa_trvalue) FROM [Sales Transactions]
WHERE ((sa_trdate<= Periods.[Period_End])
AND (sa_trdate>= Periods.[LTM_Start]) )
AND
[Sales Transactions].sa_account = Periods.[sa_account]
AS Total
FROM Periods
GROUP BY Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
sql ms-access
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
add a comment |
I am trying to pull together a rolling 12 month total for each customer at each period end. The Periods table has a line for each customer for each required period.
The query is as follows - which works but runs extremely slowly.
SELECT Periods.LTM_Start, Periods.Period_End, Periods.sa_account,
(SELECT Sum(sa_trvalue) FROM [Sales Transactions]
WHERE ((sa_trdate<= Periods.[Period_End])
AND (sa_trdate>= Periods.[LTM_Start]) )
AND
[Sales Transactions].sa_account = Periods.[sa_account]
AS Total
FROM Periods
GROUP BY Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
sql ms-access
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
add a comment |
I am trying to pull together a rolling 12 month total for each customer at each period end. The Periods table has a line for each customer for each required period.
The query is as follows - which works but runs extremely slowly.
SELECT Periods.LTM_Start, Periods.Period_End, Periods.sa_account,
(SELECT Sum(sa_trvalue) FROM [Sales Transactions]
WHERE ((sa_trdate<= Periods.[Period_End])
AND (sa_trdate>= Periods.[LTM_Start]) )
AND
[Sales Transactions].sa_account = Periods.[sa_account]
AS Total
FROM Periods
GROUP BY Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
sql ms-access
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
I am trying to pull together a rolling 12 month total for each customer at each period end. The Periods table has a line for each customer for each required period.
The query is as follows - which works but runs extremely slowly.
SELECT Periods.LTM_Start, Periods.Period_End, Periods.sa_account,
(SELECT Sum(sa_trvalue) FROM [Sales Transactions]
WHERE ((sa_trdate<= Periods.[Period_End])
AND (sa_trdate>= Periods.[LTM_Start]) )
AND
[Sales Transactions].sa_account = Periods.[sa_account]
AS Total
FROM Periods
GROUP BY Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
sql ms-access
sql ms-access
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
edited Nov 11 '18 at 23:51
Lee Mac
3,47131339
3,47131339
asked Nov 11 '18 at 19:19
Natalie
1
asked Nov 11 '18 at 19:19
Natalie
1
asked Nov 11 '18 at 19:19
Natalie
1
1
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Your query will be slow to evaluate due to your use of a correlated subquery, whereby the query referencing the Sales Transactions table will be evaluated for every record of the Periods table.
You should be able to improve the performance through the appropriate use of joins, for example, something like the following should yield the same result:
SELECT
Periods.LTM_Start,
Periods.Period_End,
Periods.sa_account,
SUM
(
IIF
(
[Sales Transactions].sa_trdate >= Periods.[LTM_Start] AND
[Sales Transactions].sa_trdate <= Periods.[Period_End],
[Sales Transactions].sa_trvalue,
0
)
) AS Total
FROM
Periods LEFT JOIN [Sales Transactions]
ON [Sales Transactions].sa_account = Periods.[sa_account]
GROUP BY
Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
1
Also, too, this is known as conditional aggregation where the former subqueryWHEREclause is moved toIIF(or in other SQL dialects: theCASEstatement).
– Parfait
Nov 12 '18 at 0:07
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Your query will be slow to evaluate due to your use of a correlated subquery, whereby the query referencing the Sales Transactions table will be evaluated for every record of the Periods table.
You should be able to improve the performance through the appropriate use of joins, for example, something like the following should yield the same result:
SELECT
Periods.LTM_Start,
Periods.Period_End,
Periods.sa_account,
SUM
(
IIF
(
[Sales Transactions].sa_trdate >= Periods.[LTM_Start] AND
[Sales Transactions].sa_trdate <= Periods.[Period_End],
[Sales Transactions].sa_trvalue,
0
)
) AS Total
FROM
Periods LEFT JOIN [Sales Transactions]
ON [Sales Transactions].sa_account = Periods.[sa_account]
GROUP BY
Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
1
Also, too, this is known as conditional aggregation where the former subqueryWHEREclause is moved toIIF(or in other SQL dialects: theCASEstatement).
– Parfait
Nov 12 '18 at 0:07
add a comment |
Your query will be slow to evaluate due to your use of a correlated subquery, whereby the query referencing the Sales Transactions table will be evaluated for every record of the Periods table.
You should be able to improve the performance through the appropriate use of joins, for example, something like the following should yield the same result:
SELECT
Periods.LTM_Start,
Periods.Period_End,
Periods.sa_account,
SUM
(
IIF
(
[Sales Transactions].sa_trdate >= Periods.[LTM_Start] AND
[Sales Transactions].sa_trdate <= Periods.[Period_End],
[Sales Transactions].sa_trvalue,
0
)
) AS Total
FROM
Periods LEFT JOIN [Sales Transactions]
ON [Sales Transactions].sa_account = Periods.[sa_account]
GROUP BY
Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
1
Also, too, this is known as conditional aggregation where the former subqueryWHEREclause is moved toIIF(or in other SQL dialects: theCASEstatement).
– Parfait
Nov 12 '18 at 0:07
add a comment |
Your query will be slow to evaluate due to your use of a correlated subquery, whereby the query referencing the Sales Transactions table will be evaluated for every record of the Periods table.
You should be able to improve the performance through the appropriate use of joins, for example, something like the following should yield the same result:
SELECT
Periods.LTM_Start,
Periods.Period_End,
Periods.sa_account,
SUM
(
IIF
(
[Sales Transactions].sa_trdate >= Periods.[LTM_Start] AND
[Sales Transactions].sa_trdate <= Periods.[Period_End],
[Sales Transactions].sa_trvalue,
0
)
) AS Total
FROM
Periods LEFT JOIN [Sales Transactions]
ON [Sales Transactions].sa_account = Periods.[sa_account]
GROUP BY
Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
Your query will be slow to evaluate due to your use of a correlated subquery, whereby the query referencing the Sales Transactions table will be evaluated for every record of the Periods table.
You should be able to improve the performance through the appropriate use of joins, for example, something like the following should yield the same result:
SELECT
Periods.LTM_Start,
Periods.Period_End,
Periods.sa_account,
SUM
(
IIF
(
[Sales Transactions].sa_trdate >= Periods.[LTM_Start] AND
[Sales Transactions].sa_trdate <= Periods.[Period_End],
[Sales Transactions].sa_trvalue,
0
)
) AS Total
FROM
Periods LEFT JOIN [Sales Transactions]
ON [Sales Transactions].sa_account = Periods.[sa_account]
GROUP BY
Periods.LTM_Start, Periods.Period_End, Periods.sa_account;
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
answered Nov 11 '18 at 23:51
Lee Mac
3,47131339
3,47131339
1
Also, too, this is known as conditional aggregation where the former subqueryWHEREclause is moved toIIF(or in other SQL dialects: theCASEstatement).
– Parfait
Nov 12 '18 at 0:07
add a comment |
1
Also, too, this is known as conditional aggregation where the former subqueryWHEREclause is moved toIIF(or in other SQL dialects: theCASEstatement).
– Parfait
Nov 12 '18 at 0:07
1
1
Also, too, this is known as conditional aggregation where the former subquery
WHERE clause is moved to IIF (or in other SQL dialects: the CASE statement).– Parfait
Nov 12 '18 at 0:07
Also, too, this is known as conditional aggregation where the former subquery
WHERE clause is moved to IIF (or in other SQL dialects: the CASE statement).– Parfait
Nov 12 '18 at 0:07
add a comment |
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