SQL Server:透视功能，需要透视表

2022-01-23 00:00:00 pivot sql subquery sql-server correlated-subquery

我在 SQL Server 中有以下格式的数据.

I have data in SQL Server in the format below.

-ID          ID2  status  time
-1384904453  417  stop    2013-11-19 23:40:43.000
-1384900211  417  start   2013-11-19 22:30:06.000
-1384822614  417  stop    2013-11-19 00:56:36.000
-1384813810  417  start   2013-11-18 22:30:06.000
-1384561199  417  stop    2013-11-16 00:19:45.000
-1384554623  417  start   2013-11-15 22:30:06.000
-1384475231  417  stop    2013-11-15 00:26:58.000
-1384468224  417  start   2013-11-14 22:30:06.000
-1384388181  417  stop    2013-11-14 00:16:20.000
-1384381807  417  start   2013-11-13 22:30:06.000
-1384300222  417  stop    2013-11-12 23:50:11.000
-1384295414  417  start   2013-11-12 22:30:06.000
-1384218209  417  stop    2013-11-12 01:03:17.000
-1384209015  417  start   2013-11-11 22:30:06.000

我需要的是能够以以下格式显示数据.

What I need is to be able to show data in the following format.

-ID2  start                      stop
-417  2013-11-19 22:30:06.000    2013-11-19 23:40:43.000
-417  2013-11-18 22:30:06.000    2013-11-19 00:56:36.000

可以这样做吗?我尝试在 SQL Server 中进行数据透视，但它只返回一条记录.有人可以帮忙吗?

Is it possible to do this? I tried pivot in SQL Server but it only returns one record. Can someone help please?

推荐答案

你可以使用 PIVOT 函数来获取结果，我只需将 row_number() 窗口函数应用于数据，这样你可以为每个 ID2 返回多行:

You can use the PIVOT function to get the result, I would just apply the row_number() windowing function to the data so you can return multiple rows for each ID2:

select id2, start, stop
from
(
  select id2, status, time,
    row_number() over(partition by status
                      order by time) seq
  from yourtable
) d
pivot
(
  max(time)
  for status in (start, stop)
) piv
order by start desc;

请参阅 SQL Fiddle with Demo.

您还可以使用带有 CASE 表达式的聚合函数来获得最终结果:

You could also use an aggregate function with a CASE expression to get the final result:

select
  id2,
  max(case when status = 'start' then time end) start,
  max(case when status = 'start' then time end) stop
from 
(
  select id2, status, time,
    row_number() over(partition by status
                      order by time) seq
  from yourtable
) d
group by id2, seq;

参见SQL Fiddle with Demo

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