查找SQL Server 2008中用户的日期范围之间的差距

时间:2019-05-02 13:41:02

标签: sql sql-server sql-server-2008 common-table-expression

我需要知道用户被记录了多少时间(天)以及未记录时间之间的间隔。在此表中,我仅存储ID及其开始和结束日期(分别为ID,INI,FIN)。通过将用户与行号分组,然后将最新日志与以下日志进行比较,我已经设法根据条件检测出三条记录之间的差距。

问题是,我的人历史上有n个日志,我不能写n个左联接和n个条件语句。我希望使我当前的代码更具可伸缩性,从而以递归方式检测这些差距,并使用户“更容易理解”。

    CREATE TABLE [dbo].[baseRecurrentes](
    [ID] [nvarchar](8) NULL,
    [INI] [datetime] NULL,
    [FIN] [datetime] NULL
) ON [PRIMARY]
GO
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA1', CAST(0x0000A9C800000000 AS DateTime), CAST(0x0000A9E600000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA1', CAST(0x0000A9E700000000 AS DateTime), CAST(0x0000AA0200000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA1', CAST(0x0000AA0300000000 AS DateTime), CAST(0x0000AA2100000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA1', CAST(0x0000AA2200000000 AS DateTime), CAST(0x0000AA3F00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA2', CAST(0x0000A9D600000000 AS DateTime), CAST(0x0000A9D900000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA2', CAST(0x0000A9EB00000000 AS DateTime), CAST(0x0000A9ED00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA2', CAST(0x0000A9F000000000 AS DateTime), CAST(0x0000A9F100000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA3', CAST(0x0000AA1A00000000 AS DateTime), CAST(0x0000AA5A00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA4', CAST(0x0000A9CA00000000 AS DateTime), CAST(0x0000A9CB00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A8DC00000000 AS DateTime), CAST(0x0000A8F100000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A8F200000000 AS DateTime), CAST(0x0000A90F00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A91000000000 AS DateTime), CAST(0x0000A92E00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A92F00000000 AS DateTime), CAST(0x0000A94D00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A94E00000000 AS DateTime), CAST(0x0000A96B00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A96C00000000 AS DateTime), CAST(0x0000A98A00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A98B00000000 AS DateTime), CAST(0x0000A9A800000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A9A900000000 AS DateTime), CAST(0x0000A9C700000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A9C800000000 AS DateTime), CAST(0x0000A87900000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000A9E700000000 AS DateTime), CAST(0x0000AA0200000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000AA0300000000 AS DateTime), CAST(0x0000AA2100000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000AA2200000000 AS DateTime), CAST(0x0000AA3F00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA5', CAST(0x0000AA4000000000 AS DateTime), CAST(0x0000AA5000000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA6', CAST(0x0000AA0900000000 AS DateTime), CAST(0x0000AA2900000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000A96C00000000 AS DateTime), CAST(0x0000A98A00000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000A98B00000000 AS DateTime), CAST(0x0000A9A800000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000A9A900000000 AS DateTime), CAST(0x0000A9C700000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000A85B00000000 AS DateTime), CAST(0x0000A87900000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000A9E700000000 AS DateTime), CAST(0x0000AA0200000000 AS DateTime))
INSERT [dbo].[baseRecurrentes] ([ID], [INI], [FIN]) VALUES (N'PERSONA7', CAST(0x0000AA0300000000 AS DateTime), CAST(0x0000AA2100000000 AS DateTime))

;WITH CTE AS (
    SELECT *, RN = ROW_NUMBER()OVER(PARTITION BY ID ORDER BY INI DESC)
    FROM BASERECURRENTES
), CTE2 AS (
    --
    SELECT DISTINCT T.ID,
    -- 
    CAST(T2.INI AS DATETIME) AS INI1, CAST(T2.FIN AS DATETIME) AS FIN1, 
    -- 
    CAST(T3.INI AS DATETIME) AS INI2, CAST(T3.FIN AS DATETIME) AS FIN2, 
    --
    CAST(T4.INI AS DATETIME) AS INI3, CAST(T4.FIN AS DATETIME) AS FIN3 
    --
    FROM CTE T
    LEFT JOIN CTE T2 ON T.ID = T2.ID AND T2.RN = 1 
    LEFT JOIN CTE T3 ON T.ID = T3.ID AND T3.RN = 2
    LEFT JOIN CTE T4 ON T.ID = T4.ID AND T4.RN = 3

), CTE3 AS (
    SELECT *, MSG = (CASE 
                                --NO GAPS ON 3 LOGS
                                WHEN (INI1 - 1 BETWEEN INI2 AND FIN2) AND (INI2 - 1 BETWEEN INI3 AND FIN3) THEN 'SEC2' 
                                --NO GAPS ON 2 LOGS
                                WHEN (INI1 - 1 BETWEEN INI2 AND FIN2) THEN 'SEC1' 
                                --NO GAP AT ALL
                                ELSE 'NO SEC'
                            END)

    FROM CTE2
)
SELECT * FROM CTE3
ORDER BY ID ASC

我希望有一个显示用户ID的表格,“间隔天数”(未记录时间的总和)和一条消息,显示间隔在哪里。

ID       GD  MSG
-------------------
PERSONA2 5   GAP ON X-Y

2 个答案:

答案 0 :(得分:0)

我认为,通过将每个用户的跨度与用户的先前跨度进行比较,这将为您提供所需的“递归”结果。这将所有结果汇总给用户。从CTE2中选择可以返回带间隙或Ini / Fin反转的跨度。

;WITH CTE AS (
    SELECT *,
        Person_RN = ROW_NUMBER() OVER (PARTITION BY ID ORDER BY INI, FIN),
        Person_Count = COUNT(*) OVER (PARTITION BY ID)
    FROM BASERECURRENTES
), CTE2 AS (
    SELECT T.*,
        N_Days_Logged_On = 
        CASE 
            WHEN DATEDIFF(DAY, T.Ini, T.Fin) < 0 THEN NULL -- Reversed span
            ELSE DATEDIFF(DAY, T.Ini, T.Fin) 
        END,
        N_Days_Gap_From_Prev = 
        CASE
            WHEN T.Person_RN = 1 THEN NULL -- First span
            WHEN DATEADD(DAY, 1, tPrev.Fin) = t.Ini THEN 0 -- OP allowed a one-day gap
            ELSE DATEDIFF(DAY, tPrev.Fin, T.Ini) 
        END,
        tPrev.Ini AS Ini_Prev, tPrev.Fin AS Fin_Prev
    FROM CTE T
    LEFT JOIN CTE TPrev ON T.ID = TPrev.ID AND TPrev.Person_RN = (T.Person_RN - 1)
    -- LEFT JOIN CTE TNext ON T.ID = TNext.ID AND TNext.Person_RN = (T.Person_RN + 1) 
), CTE3 AS (
    SELECT ID,
        GD = SUM(N_Days_Gap_From_Prev),
        N_Days_Logged_On = SUM(N_Days_Logged_On),
        N_Logs = MAX(Person_Count),
        N_Spans_WO_Gaps = COUNT(CASE WHEN N_Days_Gap_From_Prev = 0 THEN ID ELSE NULL END),
        N_Spans_W_Gaps = COUNT(NULLIF(N_Days_Gap_From_Prev, 0)),
        -- Captures reversed/invalid(?) spans, plus incomplete spans (null Ini or Fin)
        N_Spans_Suspect = COUNT(CASE WHEN N_Days_Logged_On IS NULL THEN ID ELSE NULL END)
    FROM CTE2
    GROUP BY ID
)
SELECT *
FROM CTE3
ORDER BY ID

我对此做了两个假设。在您的示例中,登录/注销看起来是存储为datetime的日期,但是时间部分不是问题(例如,00:00的注销与23:59相同)。正如您在CTE2中看到的那样,DATEDIFF的结果不一定直观(例如,2019年1月1日至2019年1月31日的DATEDIFF是30天)。

从示例数据中返回:

  • PERSONA1:4个日志,0个间隔天,116天登录以及0个有间隔的跨度
  • PERSONA2:3个日志,21天的间隔天,6天的登录时间,并且所有跨度都有间隔。

答案 1 :(得分:0)

您可以使用ROW_NUMBER()来加入相同的CTE,并寻找差距。这是我的建议:

;WITH CTE AS (
    SELECT *, RN = ROW_NUMBER()OVER(PARTITION BY ID ORDER BY INI DESC)
    FROM BASERECURRENTES
), CTE2 AS (
    SELECT * 
         , (SELECT TOP 1 FIN FROM CTE b WHERE a.ID = b.ID and b.RN > a.RN) ENDOFLAST
    FROM CTE a
), CTE3 AS (
    SELECT *
         , DATEDIFF(DAY, INI, ENDOFLAST) GAPDAYS
    FROM CTE2
)
SELECT *
FROM CTE3
WHERE GAPDAYS < -1
ORDER BY ID ASC

以及指向SQL Fiddle的链接。我不完全了解实际的消息,但我认为结果集包含创建消息所需的一切。

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