本文介绍了使用重叠时间跨度对数据进行SQL分组的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我需要根据记录的开始和结束时间,通过重叠的时间跨度将彼此相关的数据分组在一起。SQL-FIDDLE此处:http://sqlfiddle.com/#!18/87e4b/1/0
我构建的当前查询给出的结果不正确。CallID%3应提供的CallCount为4。这并不是因为记录6不包括(因为它不与3重叠),而是因为它与其他相关记录之一重叠而应包括在内。因此,我认为可能需要一个递归CTE,但我不确定如何编写它。
架构:
CREATE TABLE Calls
([callid] int, [src] varchar(10), [start] datetime, [end] datetime, [conf] varchar(5));
INSERT INTO Calls
([callid],[src],[start],[end],[conf])
VALUES
('1','5555550001','2019-07-09 10:00:00', '2019-07-09 10:10:00', '111'),
('2','5555550002','2019-07-09 10:00:01', '2019-07-09 10:11:00', '111'),
('3','5555550011','2019-07-09 11:00:00', '2019-07-09 11:10:00', '111'),
('4','5555550012','2019-07-09 11:00:01', '2019-07-09 11:11:00', '111'),
('5','5555550013','2019-07-09 11:01:00', '2019-07-09 11:15:00', '111'),
('6','5555550014','2019-07-09 11:12:00', '2019-07-09 11:16:00', '111'),
('7','5555550014','2019-07-09 15:00:00', '2019-07-09 15:01:00', '111');
当前查询:
SELECT
detail_record.callid,
detail_record.conf,
MIN(related_record.start) AS sessionStart,
MAX(related_record.[end]) As sessionEnd,
COUNT(related_record.callid) AS callCount
FROM
Calls AS detail_record
INNER JOIN
Calls AS related_record
ON related_record.conf = detail_record.conf
AND ((related_record.start >= detail_record.start
AND related_record.start < detail_record.[end])
OR (related_record.[end] > detail_record.start
AND related_record.[end] <= detail_record.[end])
OR (related_record.start <= detail_record.start
AND related_record.[end] >= detail_record.[end])
)
WHERE
detail_record.start > '1/1/2019'
AND detail_record.conf = '111'
GROUP BY
detail_record.callid,
detail_record.start,
detail_record.conf
HAVING
MIN(related_record.start) >= detail_record.start
ORDER BY sessionStart DESC
预期结果:
callid conf sessionStart sessionEnd callCount
7 111 2019-07-09T15:00:00Z 2019-07-09T15:01:00Z 1
3 111 2019-07-09T11:00:00Z 2019-07-09T11:15:00Z 4
1 111 2019-07-09T10:00:00Z 2019-07-09T10:11:00Z 2
推荐答案
这是一个缺口和孤岛问题。它不需要递归CTE。您可以使用窗口函数:
select min(callid), conf, grouping, min([start]), max([end]), count(*)
from (select c.*,
sum(case when prev_end < [start] then 1 else 0 end) over (order by start) as grouping
from (select c.*,
max([end]) over (partition by conf order by [start] rows between unbounded preceding and 1 preceding) as prev_end
from calls c
) c
) c
group by conf, grouping;
最里面的子查询计算上一个结尾。中间的子查询将其与当前开始进行比较,以确定相邻行的组何时是新组的开始。然后,累加和确定分组。
和,外部查询聚合以汇总有关每个组的信息。
Here是小提琴。
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