TSQL按时间分组,包括开始日期和结束日期

时间:2012-04-07 20:10:11

标签: sql-server-2008 tsql time aggregation

我一直在努力制作一套报告,为“团队”和“用户”提供15分钟增量消耗的卡路里总和。

我使用的表格如下:

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Teams') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Teams;

CREATE TABLE Teams
(
Team_ID int NOT NULL PRIMARY KEY IDENTITY (1,1),
Team_Name varchar(100),
Team_Description varchar(200)
);

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Users') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Users;

CREATE TABLE Users
(
User_ID int NOT NULL PRIMARY KEY IDENTITY (1,1),
User_Name varchar(100)
);

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Team_User') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Team_User;

CREATE TABLE Team_User
(
Team_ID int,
User_ID int
);

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Workouts') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Workouts;

CREATE TABLE Workouts
(
Workout_ID int NOT NULL PRIMARY KEY IDENTITY (1,1),
User_ID int,
Workout_Type int,
Start_Time datetime,
End_Time datetime,
Calories float
);

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('LK_Workout_Type') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE LK_Workout_Type;

CREATE TABLE LK_Workout_Type
(
WT_ID int NOT NULL PRIMARY KEY IDENTITY (1,1),
Workout_Name varchar (80),
Workout_Description varchar(200)
);

INSERT INTO Teams (Team_Name, Team_Description) VALUES ('A Team', 'We are not vets.');
INSERT INTO Teams (Team_Name, Team_Description) VALUES ('Team Solo', 'One man. One team.');

INSERT INTO Users (User_Name) VALUES ('Frank Appleton');
INSERT INTO Users (User_Name) VALUES ('Tim Murdock');
INSERT INTO Users (User_Name) VALUES ('Tim Smith');

INSERT INTO Team_User (Team_ID, User_ID) Values (1,1);
INSERT INTO Team_User (Team_ID, User_ID) Values (1,2);
INSERT INTO Team_User (Team_ID, User_ID) Values (2,3);

INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Bike - Mountain','Trail riding.');
INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Bike - Road','Road riding.');
INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Elliptical','Standard elliptical');
INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Running','Typical running');
INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Treadmill','Treadmill running');
INSERT INTO LK_Workout_Type (Workout_Name, Workout_Description) VALUES ('Weights','Weightroom');

INSERT INTO Workouts (User_ID, Workout_Type, Start_Time, End_Time, Calories) VALUES (1,1,'3/10/2012 08:00:00 AM','3/10/2012 09:30:00 AM', 860);
INSERT INTO Workouts (User_ID, Workout_Type, Start_Time, End_Time, Calories) VALUES (2,1,'3/10/2012 08:30:00 AM','3/10/2012 10:45:00 AM', 950);
INSERT INTO Workouts (User_ID, Workout_Type, Start_Time, End_Time, Calories) VALUES (3,5,'3/10/2012 10:05:00 AM','3/10/2012 12:27:00 PM', 1917);
INSERT INTO Workouts (User_ID, Workout_Type, Start_Time, End_Time, Calories) VALUES (1,5,'3/10/2012 02:38:00 PM','3/10/2012 03:17:00 PM', 536);

我想要生成的其中一个报告以特定的增量和时间范围显示给定团队燃烧的卡路里。因此,如果我希望在给定的一天以15分钟为增量显示从上午8点到下午6点燃烧的A队的卡路里,报告应如下所示:
    TheDt Team Calories
    08:00:00 A-Team 860
    08:15:00 A-Team 860
    08:30 AM A-Team 1810
    08:45:00 A-Team 1810
    上午09:00:00 A-Team 1810
    上午09:15:00 A-Team 1810
    上午09:30:00 A-Team 1810
    上午09:45:00 A-Team 950
    上午10:00:00 A-Team 950
    上午10:15:00 A-Team 950
    上午10:30:00 A-Team 950
    上午10:45:00 A-Team 950
    上午11:00:00 A-Team 0
    ....
    02:30:00 PM A-Team 0
    02:45:00 PM A-Team 536
    03:00:00 PM A-Team 536
    下午03:15:00 A-Team 536
    03:30:00 PM A-Team 0
    ...
    06:00:00 PM A-Team 0

在我的研究中,我发现使用表来支持增量(15分钟)并将其加入我的Workouts表应该会有所帮助。所以,我创建了下表:

IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Tally') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Tally;

CREATE TABLE Tally 
    (N INT, 
    CONSTRAINT PK_Tally_N PRIMARY KEY CLUSTERED (N))

-----------Create and preset a loop counter
DECLARE @Counter INT
    SET @Counter = 0

-----------Populate the table with 15 minute intervals between 2012 and 2017
  WHILE @Counter <= 175299
  BEGIN
         INSERT INTO Tally (N) VALUES (@Counter) SET @Counter = @Counter + 1
    END

-----------Build the CalendarDT Table
IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('CalendarDT') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE CalendarDT;

DECLARE @StartDT DATETIME;

SELECT @StartDT = '2012-01-01T00:00:00';

SELECT  DATEADD(mi,v.N*15,@StartDT) AS TheDT INTO CalendarDT FROM Tally v WHERE v.N BETWEEN 0 AND 175299;

-----------Creating a clustered index for performance
IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('IDXC_CalendarDT_TheDT') AND  OBJECTPROPERTY(id, 'IsIndex') = 1)
DROP INDEX CalendarDT.IDXC_CalendarDT_TheDT;

CREATE CLUSTERED INDEX IDXC_CalendarDT_TheDT ON CalendarDT (TheDT)
GO

-----------Drop the Tally table
IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id('Tally') AND  OBJECTPROPERTY(id, 'IsTable') = 1)
DROP TABLE Tally;

然后我尝试使用以下内容加入我的Workouts表:

SELECT  CalendarDT.TheDT AS [Date], COALESCE(SUM(Workouts.Calories),0) AS CalorieCnt, Workouts.User_ID
FROM    CalendarDT
        LEFT OUTER JOIN Workouts ON Workouts.Start_Time >= '03/10/2012 08:00:00 AM' AND Workouts.End_Time < '03/10/2012 06:00:00 PM'
        AND CalendarDT.TheDT >= '03/10/2012 08:00:00 AM' AND CalendarDT.TheDT <= '03/10/2012 06:00:00 PM'
WHERE   Workouts.User_ID IN (SELECT User_ID FROM Team_User WHERE Team_ID = 1)
GROUP BY CalendarDT.TheDT, Workouts.User_ID
ORDER BY CalendarDT.TheDT;

这与我能够解决的问题一样接近。但是,我有一些问题:

1)我还没想出如何从JOIN语句中加入Team_Name。

2)CalorieCnt即使由Team_Name而不是User_ID汇总,也会显示每个时间段的相同值。它并没有在每个给定时间内正确地汇总总数,包括应该为0的那些时间。

我认为其中一个问题是我无法比较上午08:45:00烧掉多少卡路里,因为当时没有锻炼开始/结束。 我已经看了一会儿,我很难过。任何帮助让这些报告为个人用户和团队工作的人都将不胜感激!

2 个答案:

答案 0 :(得分:1)

WITH    ranges (st) AS
        (
        SELECT  CAST('2012-03-10 08:00:00' AS DATETIME)
        UNION ALL
        SELECT  DATEADD(minute, 15, st)
        FROM    ranges
        WHERE   DATEADD(minute, 15, st) < CAST('2012-03-10 18:00:00' AS DATETIME)
        )
SELECT  st, team_name, calories
FROM    (
        SELECT  st, team_id, COALESCE(SUM(calories), 0) AS calories
        FROM    ranges r
        LEFT JOIN
                workouts w
        ON      start_time < DATEADD(minute, 15, st)
                AND end_time > st
        LEFT JOIN
                team_user tu
        ON      tu.user_id = w.user_id
        GROUP BY
                st, team_id
        ) c
LEFT JOIN
        teams t
ON      t.team_id = c.team_id
ORDER BY
        c.st, c.team_id
OPTION (MAXRECURSION 0)

答案 1 :(得分:0)

试试这个。我修改了上面例子中的CTE,即使卡路里为0,也可以获得所有范围的所有队伍。

WITH    ranges_CTE (st) AS
(
   SELECT  CAST('2012-03-10 08:00:00' AS DATETIME)
    UNION ALL
   SELECT  DATEADD(minute, 15, st)
     FROM    ranges_CTE
    WHERE   DATEADD(minute, 15, st) < CAST('2012-03-10 18:00:00' AS DATETIME)
),
team_CTE (team_name, team_id) AS
(
SELECT team_name, team_id 
  FROM teams
),
ranges_team_CTE (st, team_name, team_id) AS
(
   SELECT r.st, t.team_name, t.team_id
 FROM ranges_CTE as r
CROSS JOIN team_CTE as t
)
select t.st, t.team_name, isnull(c.calories, '')
  from ranges_team_cte t
  LEFT JOIN (
    SELECT  st, team_id, COALESCE(SUM(calories), 0) AS calories
    FROM    ranges_CTE r
    LEFT JOIN
            workouts w
    ON      start_time < DATEADD(minute, 15, st)
            AND end_time > st
    LEFT JOIN    team_user tu
    ON      tu.user_id = w.user_id
    GROUP BY
            st, team_id
    ) c ON t.team_id = c.team_id AND t.st = c.st
ORDER BY
    t.st, t.team_id
OPTION (MAXRECURSION 0)

产生这些输出。如果我理解你在寻找什么,我认为这会给你你想要的东西。

st                      team_name            calories
----------------------- -------------------- ----------------------
2012-03-10 08:00:00.000 A Team               860
2012-03-10 08:00:00.000 Team Solo            0
2012-03-10 08:15:00.000 A Team               860
2012-03-10 08:15:00.000 Team Solo            0
2012-03-10 08:30:00.000 A Team               1810
2012-03-10 08:30:00.000 Team Solo            0
2012-03-10 08:45:00.000 A Team               1810
2012-03-10 08:45:00.000 Team Solo            0
2012-03-10 09:00:00.000 A Team               1810
2012-03-10 09:00:00.000 Team Solo            0
2012-03-10 09:15:00.000 A Team               1810
2012-03-10 09:15:00.000 Team Solo            0
2012-03-10 09:30:00.000 A Team               950
2012-03-10 09:30:00.000 Team Solo            0
2012-03-10 09:45:00.000 A Team               950
2012-03-10 09:45:00.000 Team Solo            0
2012-03-10 10:00:00.000 A Team               950
2012-03-10 10:00:00.000 Team Solo            1917
2012-03-10 10:15:00.000 A Team               950
2012-03-10 10:15:00.000 Team Solo            1917
2012-03-10 10:30:00.000 A Team               950
2012-03-10 10:30:00.000 Team Solo            1917
2012-03-10 10:45:00.000 A Team               0
2012-03-10 10:45:00.000 Team Solo            1917
2012-03-10 11:00:00.000 A Team               0
2012-03-10 11:00:00.000 Team Solo            1917
2012-03-10 11:15:00.000 A Team               0
2012-03-10 11:15:00.000 Team Solo            1917
2012-03-10 11:30:00.000 A Team               0
2012-03-10 11:30:00.000 Team Solo            1917
2012-03-10 11:45:00.000 A Team               0
2012-03-10 11:45:00.000 Team Solo            1917
2012-03-10 12:00:00.000 A Team               0
2012-03-10 12:00:00.000 Team Solo            1917
2012-03-10 12:15:00.000 A Team               0
2012-03-10 12:15:00.000 Team Solo            1917
2012-03-10 12:30:00.000 A Team               0
2012-03-10 12:30:00.000 Team Solo            0
2012-03-10 12:45:00.000 A Team               0
2012-03-10 12:45:00.000 Team Solo            0
2012-03-10 13:00:00.000 A Team               0
2012-03-10 13:00:00.000 Team Solo            0
2012-03-10 13:15:00.000 A Team               0
2012-03-10 13:15:00.000 Team Solo            0
2012-03-10 13:30:00.000 A Team               0
2012-03-10 13:30:00.000 Team Solo            0
2012-03-10 13:45:00.000 A Team               0
2012-03-10 13:45:00.000 Team Solo            0
2012-03-10 14:00:00.000 A Team               0
2012-03-10 14:00:00.000 Team Solo            0
2012-03-10 14:15:00.000 A Team               0
2012-03-10 14:15:00.000 Team Solo            0
2012-03-10 14:30:00.000 A Team               536
2012-03-10 14:30:00.000 Team Solo            0
2012-03-10 14:45:00.000 A Team               536
2012-03-10 14:45:00.000 Team Solo            0
2012-03-10 15:00:00.000 A Team               536
2012-03-10 15:00:00.000 Team Solo            0
2012-03-10 15:15:00.000 A Team               536
2012-03-10 15:15:00.000 Team Solo            0
2012-03-10 15:30:00.000 A Team               0
2012-03-10 15:30:00.000 Team Solo            0
2012-03-10 15:45:00.000 A Team               0
2012-03-10 15:45:00.000 Team Solo            0
2012-03-10 16:00:00.000 A Team               0
2012-03-10 16:00:00.000 Team Solo            0
2012-03-10 16:15:00.000 A Team               0
2012-03-10 16:15:00.000 Team Solo            0
2012-03-10 16:30:00.000 A Team               0
2012-03-10 16:30:00.000 Team Solo            0
2012-03-10 16:45:00.000 A Team               0
2012-03-10 16:45:00.000 Team Solo            0
2012-03-10 17:00:00.000 A Team               0
2012-03-10 17:00:00.000 Team Solo            0
2012-03-10 17:15:00.000 A Team               0
2012-03-10 17:15:00.000 Team Solo            0
2012-03-10 17:30:00.000 A Team               0
2012-03-10 17:30:00.000 Team Solo            0
2012-03-10 17:45:00.000 A Team               0
2012-03-10 17:45:00.000 Team Solo            0
(80 row(s) affected)

这是你在找什么?