How to limit max rows in select query by key
I have
ID ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
I want to query the data above into 2 resultset (return max 5 rows) which are:
result 1:
ID1 ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
result 2:
ID1 ID2 Amount
-------- -------- ------
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
How should I construct my query?
sql sql-server tsql
|
show 3 more comments
I have
ID ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
I want to query the data above into 2 resultset (return max 5 rows) which are:
result 1:
ID1 ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
result 2:
ID1 ID2 Amount
-------- -------- ------
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
How should I construct my query?
sql sql-server tsql
2
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58
|
show 3 more comments
I have
ID ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
I want to query the data above into 2 resultset (return max 5 rows) which are:
result 1:
ID1 ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
result 2:
ID1 ID2 Amount
-------- -------- ------
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
How should I construct my query?
sql sql-server tsql
I have
ID ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
I want to query the data above into 2 resultset (return max 5 rows) which are:
result 1:
ID1 ID2 Amount
-------- -------- ------
01 02 20
01 03 30
02 04 40
02 06 30
result 2:
ID1 ID2 Amount
-------- -------- ------
03 05 70
03 06 60
03 07 60
04 08 100
04 09 110
How should I construct my query?
sql sql-server tsql
sql sql-server tsql
edited Nov 20 '18 at 8:32
Rahul Neekhra
6001627
6001627
asked Nov 20 '18 at 3:39
Wayne CywayWayne Cyway
11
11
2
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58
|
show 3 more comments
2
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58
2
2
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58
|
show 3 more comments
1 Answer
1
active
oldest
votes
use row_number()
to generate a sequential no. (row_number() over (order by ID1) - 1) / 5 + 1
will gives you set of 5 per each result
; WITH CTE AS
(
SELECT result_no = (row_number() over (order by ID1) - 1) / 5 + 1,
ID1, ID2, Amount
FROM yourtable
)
SELECT *
FROM CTE
WHERE result_no = @result_no
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
use row_number()
to generate a sequential no. (row_number() over (order by ID1) - 1) / 5 + 1
will gives you set of 5 per each result
; WITH CTE AS
(
SELECT result_no = (row_number() over (order by ID1) - 1) / 5 + 1,
ID1, ID2, Amount
FROM yourtable
)
SELECT *
FROM CTE
WHERE result_no = @result_no
add a comment |
use row_number()
to generate a sequential no. (row_number() over (order by ID1) - 1) / 5 + 1
will gives you set of 5 per each result
; WITH CTE AS
(
SELECT result_no = (row_number() over (order by ID1) - 1) / 5 + 1,
ID1, ID2, Amount
FROM yourtable
)
SELECT *
FROM CTE
WHERE result_no = @result_no
add a comment |
use row_number()
to generate a sequential no. (row_number() over (order by ID1) - 1) / 5 + 1
will gives you set of 5 per each result
; WITH CTE AS
(
SELECT result_no = (row_number() over (order by ID1) - 1) / 5 + 1,
ID1, ID2, Amount
FROM yourtable
)
SELECT *
FROM CTE
WHERE result_no = @result_no
use row_number()
to generate a sequential no. (row_number() over (order by ID1) - 1) / 5 + 1
will gives you set of 5 per each result
; WITH CTE AS
(
SELECT result_no = (row_number() over (order by ID1) - 1) / 5 + 1,
ID1, ID2, Amount
FROM yourtable
)
SELECT *
FROM CTE
WHERE result_no = @result_no
answered Nov 20 '18 at 4:58
SquirrelSquirrel
11.8k22127
11.8k22127
add a comment |
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2
What’s the logic behind the rows you choose? Maybe you are looking for the NTILE function to split your data in half?
– scsimon
Nov 20 '18 at 3:43
I want to write the data into files where it needs to be grouped by ID1. Each of the file limited to max 5 rows
– Wayne Cyway
Nov 20 '18 at 3:47
But your second result set isn’t grouped by ID1. It has multiple IDs
– scsimon
Nov 20 '18 at 3:49
ID1 (03) having 3 rows where result 1 has already 4 rows, hence ID1 (03) need to be in result 2.
– Wayne Cyway
Nov 20 '18 at 3:57
Now each result set has multiple IDs. Is the idea to group the result set into 5 rows ordered by ID1? How would you handle sets where the ID1 could straddle two sets? What’s the purpose?
– scsimon
Nov 20 '18 at 3:58