Question

我有一个SQL表，其中包含每台机器每分钟的产品交易和包装产品的累积总数。

我正在尝试将此表（在sql查询中）汇总到产品运行中。

Example Table

Example Output - Summary

开始时间由产品的第一条记录表示，累计值> 0
完成时间由产品运行的最后一条记录表示-但忽略累计值是否保持不变（即实际包装的产品不再更多）
与示例表中一样，同一产品每天可以运行多次，但是摘要应显示每个产品的运行情况。

创建表并插入数据。...

CREATE TABLE [dbo].[Test](
    [ID] [nchar](10) NULL,
    [Product] [varchar](20) NULL,
    [datetime] [datetime] NULL,
    [Cumulative_Packed] [int] NULL
) ON [PRIMARY]
GO
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'1         ', N'Item1', CAST(N'2019-11-14T14:15:00.000' AS DateTime), 10)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'2         ', N'Item1', CAST(N'2019-11-14T14:16:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'3         ', N'Item1', CAST(N'2019-11-14T14:17:00.000' AS DateTime), 35)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'4         ', N'Item1', CAST(N'2019-11-14T14:18:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'5         ', N'Item1', CAST(N'2019-11-14T14:19:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'6         ', N'Item1', CAST(N'2019-11-14T14:20:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'7         ', N'Item1', CAST(N'2019-11-14T14:21:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'8         ', N'Item1', CAST(N'2019-11-14T14:22:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'9         ', N'Item1', CAST(N'2019-11-14T14:23:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'10        ', N'Item2', CAST(N'2019-11-14T14:24:00.000' AS DateTime), 12)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'11        ', N'Item2', CAST(N'2019-11-14T14:25:00.000' AS DateTime), 18)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'12        ', N'Item2', CAST(N'2019-11-14T14:26:00.000' AS DateTime), 18)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'13        ', N'Item2', CAST(N'2019-11-14T14:27:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'14        ', N'Item2', CAST(N'2019-11-14T14:28:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'15        ', N'Item1', CAST(N'2019-11-14T14:29:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'16        ', N'Item1', CAST(N'2019-11-14T14:30:00.000' AS DateTime), 7)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'17        ', N'Item1', CAST(N'2019-11-14T14:31:00.000' AS DateTime), 30)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'18        ', N'Item1', CAST(N'2019-11-14T14:32:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'19        ', N'Item1', CAST(N'2019-11-14T14:33:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'20        ', N'Item1', CAST(N'2019-11-14T14:34:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'21        ', N'Item1', CAST(N'2019-11-14T14:35:00.000' AS DateTime), 38)

Answer 1

我认为您希望lead()和lag()标识起点和终点。为您的数据：

select row_number() over (order by min(datetime)) as run_order,
       product, min(datetime), max(datetime),
       max(cumulative_packed)
from (select t.*,
             sum(case when prev_cp = 0 or prev_cp is null then 1 else 0 end) over (partition by product order by datetime) as rungrp
      from (select t.*,
                   lag(cumulative_packed) over (partition by product order by datetime) as prev_cp,
                   lead(cumulative_packed) over (partition by product order by datetime) as next_cp
             from t
            ) t
       where (prev_cp = 0 or prev_cp is null) or              -- is start
             (next_cp = cp or next_cp = 0 or next_cp is null) -- is stop
      ) t
group by rungrp, product
order by rungrp, product, min(datetime);

编辑：

您的数据似乎需要重复删除。根据我的了解，您只需要在 first 时间内更改值。可以使用另一层子查询来处理：

select row_number() over (order by min(datetime)) as run_order,
       product, min(datetime), max(datetime),
       max(cumulative_packed)
from (select t.*,
             sum(case when prev_cp = 0 or prev_cp is null then 1 else 0 end) over (partition by product order by datetime) as rungrp
      from (select t.*,
                   lag(cumulative_packed) over (partition by product order by datetime) as prev_cp,
                   lead(cumulative_packed) over (partition by product order by datetime) as next_cp
             from (select t.*,
                          lag(cumulative_packed) over (partition by product order by datetime) as first_prev_cp
                   from t
                  ) t
             where first_prev_cp is null or first_prev_cp <> cumulative_packed
            ) t
       where (prev_cp = 0 or prev_cp is null) or              -- is start
             (next_cp = cp or next_cp = 0 or next_cp is null) -- is stop
      ) t
group by rungrp, product
order by rungrp, product, min(datetime);

SQL-交易摘要-根据列计算交易的开始结束时间

1 个答案: