MySQL: 划分具有连续相同值的区间
需求#
有一组数据,第一列是类型A/B,第二列是操作时间,怎么取出不同类型不同时间段的最大、最小操作时间?
输入:
输出:
建表语句:
create table test2 (
`type` varchar(5),
`time` timestamp
)engine=innodb;
insert into test2
values
('A', '2021-08-09 10:00:00'),
('A', '2021-08-09 10:04:00'),
('A', '2021-08-09 10:04:06'),
('B', '2021-08-12 10:04:00'),
('B', '2021-08-13 10:04:00'),
('A', '2021-08-14 10:04:00'),
('A', '2021-08-15 10:08:00'),
('B', '2021-08-16 10:04:00'),
('B', '2021-08-16 10:04:00'),
('B', '2021-08-18 10:04:00')
解决#
select distinct
type,
min_type,
max_type
from (
select
`type`,
`time`,
max(`time`) over (partition by flag, `type`) max_type,
min(`time`) over (partition by flag, `type`) min_type
from (
select
a.*,
cast(rn2_type as signed) - cast(rn_time as signed) as flag
from (
select
`type`,
`time`,
row_number() over (order by `time`) rn_time,
row_number() over (partition by `type` order by `time`) rn2_type
from test2
) a
) a
) a
过程解析#
嵌套sql从最里层开始看,非数值连续类型铺垫,先设置两个标签rn_time,rn_type:
select
`type`,
`time`,
row_number() over(order by time ) rn_time,
row_number() over(partition by type order by time) rn2_type
from test2
rn_time,rn_type相减得到连续类型分组:
select
a.*,
cast(rn2_type as signed) - cast(rn_time as signed) as flag
from (
select
`type`,
`time`,
row_number() over (order by `time`) rn_time,
row_number() over (partition by type order by `time`) rn2_type
from test2
) a
求分组最大值和最小值(注意不同type的flag列可能会相同,因此需要 partition by flag, type
,参考的原文中这里有bug):
select
`type`,
`time`,
max(`time`) over (partition by flag, `type`) max_type,
min(`time`) over (partition by flag, `type`) min_type
from (
select
a.*,
cast(rn2_type as signed) - cast(rn_time as signed) as flag
from (
select
`type`,
`time`,
row_number() over (order by `time`) rn_time,
row_number() over (partition by type order by `time`) rn2_type
from test2
) a
) a
最后一步:去重:
select distinct
type,
min_type,
max_type
from (
select
`type`,
`time`,
max(`time`) over (partition by flag, `type`) max_type,
min(`time`) over (partition by flag, `type`) min_type
from (
select
a.*,
cast(rn2_type as signed) - cast(rn_time as signed) as flag
from (
select
`type`,
`time`,
row_number() over (order by `time`) rn_time,
row_number() over (partition by `type` order by `time`) rn2_type
from test2
) a
) a
) a
来源#
本文来源:https://blog.csdn.net/qq_34019697/article/details/114578668
文中有部分错误,已在本文修改。
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