PostgreSQL 计算多行之间的总秒数差异

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英文:

PostgreSQL calculate difference between multi rows total second

问题

要计算在m30等于1且door等于1时的时间差,以及在cutting等于1且door等于1时的时间差,你可以使用PostgreSQL中的窗口函数。以下是一个示例查询,可以帮助你执行这些计算:

SELECT
    rid,
    m_id,
    prosessdate,
    m30,
    door,
    cutting,
    CASE
        WHEN m30 = 1 AND door = 1 THEN
            prosessdate - LAG(prosessdate) OVER (ORDER BY prosessdate)
        WHEN cutting = 1 AND door = 1 THEN
            prosessdate - LAG(prosessdate) OVER (ORDER BY prosessdate)
    END AS time_difference
FROM your_table_name;

请将 "your_table_name" 替换为你的表名。这个查询会为每一行计算时间差,但只有在m30或cutting等于1且door等于1时才会计算时间差。

英文:
rid	m_id	  prosessdate	       m30 door	cutting
1	536477698	05-07-2023 11:05:12	1	0	0
2	536477698	05-07-2023 11:05:13	1	0	0
3	536477698	05-07-2023 11:05:14	1	0	0
4	536477698	05-07-2023 11:05:15	1	0	0
5	536477698	05-07-2023 11:05:16	1	0	0
6	536477698	05-07-2023 11:05:17	1	0	0
7	536477698	05-07-2023 11:05:18	1	0	0
8	536477698	05-07-2023 11:05:19	1	0	0
9	536477698	05-07-2023 11:05:20	1	0	0
10	536477698	05-07-2023 11:05:21	1	1	0
11	536477698	05-07-2023 11:05:22	1	1	0
12	536477698	05-07-2023 11:05:23	1	1	0
13	536477698	05-07-2023 11:05:24	1	1	0
14	536477698	05-07-2023 11:05:25	1	1	0
15	536477698	05-07-2023 11:05:26	1	1	0
16	536477698	05-07-2023 11:05:27	1	1	0
17	536477698	05-07-2023 11:05:28	1	1	0
18	536477698	05-07-2023 11:05:29	0	0	0
19	536477698	05-07-2023 11:05:30	0	0	0
20	536477698	05-07-2023 11:05:31	0	0	0
21	536477698	05-07-2023 11:05:32	0	0	0
22	536477698	05-07-2023 11:05:33	0	0	1
23	536477698	05-07-2023 11:05:34	0	0	1

i am using PosgreSQL
I tried to calculate difference between rows in a field using a query:

I Need when m30 = 1 to door =1 calculate different second

05-07-2023 11:05:21 - 05-07-2023 11:05:12

cutting = 1 to door = 1 calculate different second

05-07-2023 11:05:33 - 05-07-2023 11:05:21

how can i do this.

答案1

得分: 1

你可以使用 ROW_NUMBER() 来查找你想要的行。

例如:

select m.m_id,
  d.prosessdate - m.prosessdate as diff1,
  c.prosessdate - d.prosessdate as diff2
from (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where m30 = 1
) m
join (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where door = 1
) d on d.m_id = m.m_id and d.rn = 1
join (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where cutting = 1
) c on c.m_id = m.m_id and c.rn = 1
where m.rn = 1

结果:

m_id       diff1     diff2
---------  --------  --------
536477698  00:00:09  00:00:12

查看fiddle链接

英文:

You can use ROW_NUMBER() to find the rows you want.

For example:

select m.m_id,
  d.prosessdate - m.prosessdate as diff1,
  c.prosessdate - d.prosessdate as diff2
from (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where m30 = 1
) m
join (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where door = 1
) d on d.m_id = m.m_id and d.rn = 1
join (
  select t.*, row_number() over(partition by m_id order by prosessdate) as rn
  from t where cutting = 1
) c on c.m_id = m.m_id and c.rn = 1
where m.rn = 1

Result:

m_id       diff1     diff2
---------  --------  --------
536477698  00:00:09  00:00:12

See fiddle.

huangapple
  • 本文由 发表于 2023年7月10日 18:09:49
  • 转载请务必保留本文链接:https://go.coder-hub.com/76652724.html
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