Let say we have this table
id |begin | end | location
1 | 5 | 10 | MALL A
2 | 1 | 3 | MALL B
3 | 13 | 17 | MALL A
4 | 21 | 25 | MALL C
5 | 36 | 38 | MALL D
6 | 31 | 33 | MALL D
7 | 26 | 29 | MALL F
8 | 40 | 45 | MALL D
Then we sort the table by the begin column asc. Therefore we have this table
id |begin | end | location
2 | 1 | 3 | MALL B
1 | 5 | 10 | MALL A
3 | 13 | 17 | MALL A
4 | 21 | 25 | MALL C
7 | 26 | 29 | MALL F
6 | 31 | 33 | MALL D
5 | 36 | 38 | MALL D
8 | 40 | 45 | MALL D
I would like to get a table like this. (Rows that has the same location in consecutive will be merged)
begin | end | location
1 | 3 | MALL B
5 | 17 | MALL A
21 | 25 | MALL C
26 | 29 | MALL F
31 | 45 | MALL D
How do I achieve that?
I thought that I can use RANK() then group it by the rank value. But I can't make it. I thought this is because the table hasn't been sorted first.
If you want to make the table on SQL I provide these SQL syntax for creating it.
CREATE TABLE `t` (
`id` int NOT NULL,
`begin` int DEFAULT NULL,
`end` int DEFAULT NULL,
`location` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
INSERT INTO t (id, begin, end, location) VALUES (1, 5,10, 'A');
INSERT INTO t (id, begin, end, location) VALUES (2, 1,3, 'B');
INSERT INTO t (id, begin, end, location) VALUES (3, 13,17, 'A');
INSERT INTO t (id, begin, end, location) VALUES (4, 21,25, 'C');
INSERT INTO t (id, begin, end, location) VALUES (5, 36,38, 'D');
INSERT INTO t (id, begin, end, location) VALUES (6, 31,33, 'D');
INSERT INTO t (id, begin, end, location) VALUES (7, 26,29, 'F');
INSERT INTO t (id, begin, end, location) VALUES (8, 40,45, 'D');
This is a type of gaps and islands problem. In this case, you can use lag()
to identify where rows should be in separate groups. Then use a cumulative sum to define the groups and aggregate:
select location, min(begin), max(end)
from (select t.*,
sum(case when prev_location = location then 0 else 1 end) over (order by begin) as grp
from (select t.*,
lag(location) over (order by begin) as prev_location
from t
) t
) t
group by grp, location;
Actually, because you don't care about gaps between ends and the following begins, you can use the moderately simpler difference of row number:
select location, min(begin), max(end)
from (select t.*,
row_number() over (order by begin) as seqnum,
row_number() over (partition by location order by begin) as seqnum_2
from t
) t
group by location, (seqnum - seqnum_2);
This is a little harder to explain, but if you look at the results of the subquery, you will see how the difference between the two row_number()
s is constant when the location is the same.