Give IDs to variation on gaps and islands problem
up vote
1
down vote
favorite
This dataset contains one ordered timestamp column (A) along with a pair of marker columns (B + C) that represent the start and end of a 'block', what I'm looking to produce is (D).
I've had a hard time of explaining this problem to colleagues, but essentially I need a way of giving an ID to these blocks of varying row count but note that on row 8 as an example a block can sometimes only occupy one row.
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
sql
azure ssms partition gaps-and-islands edited Nov 11 at 8:40
Mohammad Mohabbati
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
add a comment |
up vote
1
down vote
favorite
This dataset contains one ordered timestamp column (A) along with a pair of marker columns (B + C) that represent the start and end of a 'block', what I'm looking to produce is (D).
I've had a hard time of explaining this problem to colleagues, but essentially I need a way of giving an ID to these blocks of varying row count but note that on row 8 as an example a block can sometimes only occupy one row.
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
sql
azure ssms partition gaps-and-islands edited Nov 11 at 8:40
Mohammad Mohabbati
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
2
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
This dataset contains one ordered timestamp column (A) along with a pair of marker columns (B + C) that represent the start and end of a 'block', what I'm looking to produce is (D).
I've had a hard time of explaining this problem to colleagues, but essentially I need a way of giving an ID to these blocks of varying row count but note that on row 8 as an example a block can sometimes only occupy one row.
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
sql
azure ssms partition gaps-and-islands edited Nov 11 at 8:40
Mohammad Mohabbati
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
This dataset contains one ordered timestamp column (A) along with a pair of marker columns (B + C) that represent the start and end of a 'block', what I'm looking to produce is (D).
I've had a hard time of explaining this problem to colleagues, but essentially I need a way of giving an ID to these blocks of varying row count but note that on row 8 as an example a block can sometimes only occupy one row.
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
sql
azure ssms partition gaps-and-islands sql
azure ssms partition gaps-and-islands edited Nov 11 at 8:40
Mohammad Mohabbati
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
edited Nov 11 at 8:40
Mohammad Mohabbati
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
edited Nov 11 at 8:40
Mohammad Mohabbati
430312
edited Nov 11 at 8:40
Mohammad Mohabbati
430312
edited Nov 11 at 8:40
Mohammad Mohabbati
430312
430312
asked Nov 11 at 4:54
Rob Ruizuki
153
asked Nov 11 at 4:54
Rob Ruizuki
153
asked Nov 11 at 4:54
Rob Ruizuki
153
153
2
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03
add a comment |
2
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03
2
2
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03
add a comment |
2 Answers
2
active
oldest
votes
up vote
0
down vote
accepted
You can try to use LAG window function in subquery then use SUM window function with condition aggregate function.
SELECT A,B,C,SUM(CASE WHEN preC = 1 THEN 1 ELSE 0 END) OVER(ORDER BY A,preC) +1 'D'
FROM (
SELECT *,
LAG(C,1,C) OVER(ORDER BY A) preC
FROM T
) t1
sqlfiddle
Result
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
answered Nov 11 at 8:51
D-Shih
24.4k61431
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
add a comment |
up vote
0
down vote
I don't see what C has to do with the problem. This is just a cumulative sum on B:
select a, b, c,
sum(b) over (order by a) as d
from t;
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
You can try to use LAG window function in subquery then use SUM window function with condition aggregate function.
SELECT A,B,C,SUM(CASE WHEN preC = 1 THEN 1 ELSE 0 END) OVER(ORDER BY A,preC) +1 'D'
FROM (
SELECT *,
LAG(C,1,C) OVER(ORDER BY A) preC
FROM T
) t1
sqlfiddle
Result
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
answered Nov 11 at 8:51
D-Shih
24.4k61431
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
add a comment |
up vote
0
down vote
accepted
You can try to use LAG window function in subquery then use SUM window function with condition aggregate function.
SELECT A,B,C,SUM(CASE WHEN preC = 1 THEN 1 ELSE 0 END) OVER(ORDER BY A,preC) +1 'D'
FROM (
SELECT *,
LAG(C,1,C) OVER(ORDER BY A) preC
FROM T
) t1
sqlfiddle
Result
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
answered Nov 11 at 8:51
D-Shih
24.4k61431
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
You can try to use LAG window function in subquery then use SUM window function with condition aggregate function.
SELECT A,B,C,SUM(CASE WHEN preC = 1 THEN 1 ELSE 0 END) OVER(ORDER BY A,preC) +1 'D'
FROM (
SELECT *,
LAG(C,1,C) OVER(ORDER BY A) preC
FROM T
) t1
sqlfiddle
Result
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
answered Nov 11 at 8:51
D-Shih
24.4k61431
You can try to use LAG window function in subquery then use SUM window function with condition aggregate function.
SELECT A,B,C,SUM(CASE WHEN preC = 1 THEN 1 ELSE 0 END) OVER(ORDER BY A,preC) +1 'D'
FROM (
SELECT *,
LAG(C,1,C) OVER(ORDER BY A) preC
FROM T
) t1
sqlfiddle
Result
| A | B | C | D |
-----------------------------------------
| 06/10/2018 13:17:40 | 1 | 0 | 1 |
| 06/10/2018 13:17:56 | 0 | 0 | 1 |
| 06/10/2018 13:18:08 | 0 | 1 | 1 |
| 06/10/2018 13:18:21 | 1 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:26 | 0 | 0 | 2 |
| 06/10/2018 13:18:28 | 0 | 1 | 2 |
| 06/10/2018 13:18:28 | 1 | 1 | 3 |
| 06/10/2018 13:18:31 | 1 | 0 | 4 |
| 06/10/2018 19:49:26 | 0 | 0 | 4 |
| 06/10/2018 19:50:24 | 0 | 1 | 4 |
answered Nov 11 at 8:51
D-Shih
24.4k61431
answered Nov 11 at 8:51
D-Shih
24.4k61431
answered Nov 11 at 8:51
D-Shih
24.4k61431
answered Nov 11 at 8:51
D-Shih
24.4k61431
24.4k61431
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
add a comment |
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
Thanks very much this works fine
– Rob Ruizuki
Nov 12 at 13:12
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
No problem glad to help you can accept this question if that help you.
– D-Shih
Nov 12 at 14:30
add a comment |
up vote
0
down vote
I don't see what C has to do with the problem. This is just a cumulative sum on B:
select a, b, c,
sum(b) over (order by a) as d
from t;
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
add a comment |
up vote
0
down vote
I don't see what C has to do with the problem. This is just a cumulative sum on B:
select a, b, c,
sum(b) over (order by a) as d
from t;
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
add a comment |
up vote
0
down vote
up vote
0
down vote
I don't see what C has to do with the problem. This is just a cumulative sum on B:
select a, b, c,
sum(b) over (order by a) as d
from t;
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
I don't see what C has to do with the problem. This is just a cumulative sum on B:
select a, b, c,
sum(b) over (order by a) as d
from t;
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
answered Nov 11 at 12:18
Gordon Linoff
747k34285390
747k34285390
add a comment |
add a comment |
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2
I don't understand what you want, could u please add "expected output" to your question
– Eray Balkanli
Nov 11 at 4:57
Hint for you:- LAG()
– Ajan Balakumaran
Nov 11 at 5:10
Sorry I meant to explain that column D here in the example table is what I want to output, I'm interested if there is an alternative method to just using partitioned lag/lead functions
– Rob Ruizuki
Nov 11 at 6:03