以下是数据表 -
del_no | Pkt | direction | Env | start_datetimestamp |
---------+---------+------------+-------+---------------------+
H_00002 | 02 | SOUTH | PROD | 2022-10-29 16:20:57 |
E20 | 20 | NORTH | PROD | 2022-10-30 16:41:37 |
H_00002 | 02 | NORTH | TEST | 2022-10-30 17:21:17 |
E20 | 20 | SOUTH | DEV | 2022-10-30 17:30:24 |
H_00004 | 02 | NORTH | PROD | 2022-10-30 16:52:48 |
H_00004 | 02 | SOUTH | PROD | 2022-10-30 19:03:36 |
H_00007 | 02 | NORTH | PROD | 2022-10-30 20:52:48 |
H_00007 | 02 | SOUTH | PROD | 2022-10-30 21:03:36 |
H_00015 | 02 | SOUTH | TEST | 2022-11-13 19:11:10 |
L 0013 | 13 | NORTH | PROD | 2022-11-14 20:06:46 |
H_00015 | 02 | NORTH | TEST | 2022-11-15 20:17:40 |
L0021 | 21 | SOUTH | TEST | 2022-11-15 20:56:18 |
H_00015 | 02 | NORTH | PROD | 2022-11-15 20:17:40 |
L0027 | 21 | SOUTH | DEV | 2022-11-30 20:56:18 |
H_00019 | 02 | NORTH | PROD | 2022-11-30 20:17:40 |
L0023 | 21 | SOUTH | TEST | 2022-11-30 20:56:18 |
H_00019 | 02 | SOUTH | TEST | 2022-11-30 20:17:40 |
L0025 | 21 | SOUTH | TEST | 2022-11-30 20:56:18 |
H_00019 | 02 | SOUTH | DEV | 2022-11-30 20:17:40 |
H_00018 | 02 | SOUTH | PROD | 2023-10-31 20:17:40 |
H_00018 | 02 | NORTH | PROD | 2023-11-02 03:17:40 |
我想计算以下条件下的回合数 -
1- 按 Pkt 过滤,仅 Pkt = 02。
2- 按 'del_no' 分组(将 NORTH 和 SOUTH 视为一个完整的回合),然后按月和每年对所有回合进行计数。
3- 根据 Env 分离计数。 (例如,第一行和第三行是一轮完整的回合,并且都有 PROD 和 TEST 环境,因此一个计数应该在 PROD/TEST 环境中,其他也同样)。
4-如果相同的del_no(H_00018)在另一个月份开始并在下个月结束,那么计数应该在开始月份添加。
输出-
Month | Env | Counts |
--------+---------------+--------+
2022-10 | PROD/TEST | 1 |
2022-10 | PROD | 2 |
2022-11 | PROD/TEST | 1 |
2022-11 | PROD/TEST/DEV | 1 |
2023-10 | PROD | 1 |
以下查询不适用于第四个条件 -
select "Month",sum(rounds)"Counts","Env" from (
select del_no,
to_char(start_datetimestamp,'YYYY-MM') "Month",
least( count(*)filter(where direction='SOUTH')
,count(*)filter(where direction='NORTH')) rounds,
string_agg(distinct env,'/' order by env) "Env"
from tablename where pkt='2' group by del_no,2)
group by "Month","Env";
您可以使用多个 CTE :
with cte as (
select del_no
from tableName
where Pkt = '2'
group by del_no
having count(distinct direction) = 2
),
cte2 as (
select to_char(min(start_datetimestamp), 'YYYY-MM') as _Month, t.del_no, Env
from cte c
inner join tableName t on c.del_no = t.del_no
group by t.del_no, Env
),
cte3 as (
select _Month, del_no, string_agg(distinct env, '/') as Env
from cte2
group by _Month, del_no
)
select _Month, env, count(env) as Counts
from cte3
group by _Month, env