我考虑过编写一个sql查询。 我有一张非常简单的桌子。该表中有两个字段。
CREATE TABLE [CHECKINOUT](
[USERID] [int] NOT NULL,
[CHECKTIME] [datetime] NOT NULL DEFAULT (getdate())
);GO
USERID CHECKTIME
1 2014-11-04 08:24:49.000
1 2014-11-03 16:57:00.000
1 2014-11-03 08:15:54.000
1 2014-10-28 12:57:58.000
1 2014-10-28 08:22:46.000
1 2014-10-24 16:58:33.000
1 2014-10-24 12:53:06.000
1 2014-10-24 08:21:38.000
1 2014-10-22 16:19:55.000
1 2014-10-21 08:26:21.000
上面有样品表。 我想用pivot来编写这个简单的查询。 我写了一个数据透视查询，但返回的值为null。 我写了这样的查询。
SELECT [USERID],[MORN_IN],[MORN_OUT],[NOON_IN],[NOON_OUT] FROM
(
SELECT [USERID], convert(NVARCHAR, ([CHECKTIME]), 104) as DATE_TIME FROM [CHECKINOUT]
) AS IN_OUT
PIVOT
(
MAX(DATE_TIME) --TO DATE
FOR DATE_TIME -- MY ROW COLUMN
IN
(
[MORN_IN],[MORN_OUT],[NOON_IN],[NOON_OUT] -- MY ROW COLUMN
)
) AS PIVOT_TABLE
查询结果不正确 -
USERID MORN_IN MORN_OUT NOON_IN NOON_OUT
1 NULL NULL NULL NULL
2 NULL NULL NULL NULL
3 NULL NULL NULL NULL
4 NULL NULL NULL NULL
5 NULL NULL NULL NULL
6 NULL NULL NULL NULL
7 NULL NULL NULL NULL
我想做什么？ 同一个用户在他们的动作当天 我想分成几块。
例如：
00:00-11:00 =>MORN_IN
11:00-13:00 =>MORN_OUT(first record ONLY MIN(11:00-13:00))
12:00-15:00 =>NOON_IN (second record max(12:00-13:00) NOON_IN > MORN_OUT)
15:00-00:00 =>NOON_OUT
SELECT TOP 3 [USERID]
,[CHECKTIME]
FROM [CHECKINOUT] ORDER BY [USERID],[CHECKTIME] DESC
USERID my CHECKTIME
1 2014-10-24 16: 58: 33.000
1 2014-10-24 12: 53: 06,000
1 2014-10-24 08: 21: 38.000
现在转向数据透视表的结果（我不能做这部分。但是应该返回这样的结果）
USERID MORN_IN MORN_OUT NOON_IN NOON_OUT
1 2014-10-24 08: 21: 38.000 2014-10-24 12: 53: 06,000 NULL 2014-10-24 16: 58: 33.000
1
答案 0 :(得分：1)
如果时间间隔13:00 - 16:30被认为是NOON_IN，那么以下查询：
SELECT DAY_DIVISION, [MORN_IN], [MORN_OUT], [NOON_IN], [NOON_OUT]
FROM
(SELECT CHECKTIME, CASE
WHEN CAST(CHECKTIME as time) >= '00:00:00' AND CAST(CHECKTIME as time) < '11:00:00' THEN 'MORN_IN'
WHEN CAST(CHECKTIME as time) >= '11:00:00' AND CAST(CHECKTIME as time) < '13:00:00' THEN 'MORN_OUT'
WHEN CAST(CHECKTIME as time) >= '13:00:00' AND CAST(CHECKTIME as time) < '16:30:00' THEN 'NOON_IN'
WHEN CAST(CHECKTIME as time) >= '16:30:00' THEN 'NOON_OUT'
END AS TIME_DIVISION,
RANK() OVER ( ORDER BY CAST(CHECKTIME as date) ASC) AS DAY_DIVISION
FROM CHECKINOUT) AS SourceTable
PIVOT
(
MAX(CHECKTIME)
FOR TIME_DIVISION IN ([MORN_IN], [MORN_OUT], [NOON_IN], [NOON_OUT])
) AS PivotTable;
产生此输出：
DAY_DIVISION MORN_IN MORN_OUT NOON_IN NOON_OUT
------------------------------------------------------------------------------------
1 2014-10-21 08:26:21.000 NULL NULL NULL
2 NULL NULL 2014-10-22 16:19:55.000 NULL
3 2014-10-24 08:21:38.000 2014-10-24 12:54:06.000 NULL 2014-10-24 16:58:33.000
7 2014-10-28 08:22:46.000 2014-10-28 12:57:58.000 NULL NULL
9 2014-11-03 08:15:54.000 NULL NULL 2014-11-03 16:57:00.000
11 2014-11-04 08:24:49.000 NULL NULL NULL
答案 1 :(得分：0)
在12:00和13:00之间处理登录和多个用户ID。 （在Oracle 11.2上测试）
WITH
CheckInOutRaw(userID, checkTime) AS(
SELECT 1, '2014-11-04 08:24:49.000' FROM DUAL UNION ALL
SELECT 1, '2014-11-03 16:57:00.000' FROM DUAL UNION ALL
SELECT 1, '2014-11-03 08:15:54.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-28 12:57:58.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-28 08:22:46.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-24 16:58:33.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-24 12:53:06.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-24 08:21:38.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-22 16:19:55.000' FROM DUAL UNION ALL
SELECT 1, '2014-10-21 08:26:21.000' FROM DUAL UNION ALL
SELECT 2, '2014-11-04 08:24:49.000' FROM DUAL UNION ALL
SELECT 2, '2014-11-03 16:57:00.000' FROM DUAL UNION ALL
SELECT 2, '2014-11-03 08:15:54.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-29 11:07:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-29 12:07:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-29 16:57:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-28 11:07:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-28 12:07:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-28 16:57:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-28 08:22:46.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-27 12:57:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-27 12:07:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-27 16:57:58.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-27 08:22:46.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-24 16:58:33.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-24 12:53:06.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-24 08:21:38.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-22 13:19:55.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-22 16:19:55.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-21 08:26:21.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-20 12:19:55.000' FROM DUAL UNION ALL
SELECT 2, '2014-10-20 16:19:55.000' FROM DUAL
),
CheckInOutTemp AS (
SELECT
userID
, TO_TIMESTAMP(checkTime, 'YYYY-MM-DD HH24:MI:SSXFF3') checkTime
FROM
CheckInOutRaw
),
CheckInOut AS (
SELECT
userID
, checkTime
, TRUNC(checkTime) dt
, EXTRACT(HOUR FROM checkTime) h
, COUNT(CASE EXTRACT(HOUR FROM checkTime) WHEN 11 THEN 1 ELSE NULL END) OVER (PARTITION BY TRUNC(checkTime), userID) h11
, COUNT(CASE EXTRACT(HOUR FROM checkTime) WHEN 12 THEN 1 ELSE NULL END) OVER (PARTITION BY TRUNC(checkTime), userID) h12
FROM
CheckInOutTemp
),
S AS (
SELECT
userID
, checkTime
, dt
, CASE
WHEN h < 11 THEN 'MORN_IN'
WHEN h = 11 THEN 'MORN_OUT'
WHEN h11 = 1 AND h = 12 THEN 'NOON_IN'
WHEN h = 12 THEN 'MORN_OUT'
WHEN h < 16 THEN 'NOON_IN'
ELSE 'NOON_OUT'
END slot
FROM CheckInOut
WHERE NOT ((h = 12) AND (h12 = 2))
UNION ALL
SELECT
userID
, MIN(checkTime) checkTime
, dt
, 'MORN_OUT' slot
FROM CheckInOut
WHERE ((h = 12) AND (h12 = 2))
GROUP BY userID, dt
UNION ALL
SELECT
userID
, MAX(checkTime) checkTime
, dt
, 'NOON_IN' slot
FROM CheckInOut
WHERE ((h = 12) AND (h12 = 2))
GROUP BY userID, dt
)
SELECT
userID, TO_CHAR(dt, 'YYYY-MM-DD') dt, TO_CHAR(MORN_IN, 'HH24:MI:SS') morn_in, TO_CHAR(MORN_OUT, 'HH24:MI:SS') morn_out, TO_CHAR(NOON_IN, 'HH24:MI:SS') noon_in, TO_CHAR(NOON_OUT, 'HH24:MI:SS') noon_out
FROM (SELECT * FROM S PIVOT(MAX(checkTime) FOR slot IN ('MORN_IN' morn_in, 'MORN_OUT' morn_out, 'NOON_IN' noon_in, 'NOON_OUT' noon_out))) ORDER BY userID, DT DESC
;
返回：
| USERID | DT | MORN_IN | MORN_OUT | NOON_IN | NOON_OUT |
|--------|------------|----------|----------|----------|----------|
| 1 | 2014-11-04 | 08:24:49 | (null) | (null) | (null) |
| 1 | 2014-11-03 | 08:15:54 | (null) | (null) | 16:57:00 |
| 1 | 2014-10-28 | 08:22:46 | 12:57:58 | (null) | (null) |
| 1 | 2014-10-24 | 08:21:38 | 12:53:06 | (null) | 16:58:33 |
| 1 | 2014-10-22 | (null) | (null) | (null) | 16:19:55 |
| 1 | 2014-10-21 | 08:26:21 | (null) | (null) | (null) |
| 2 | 2014-11-04 | 08:24:49 | (null) | (null) | (null) |
| 2 | 2014-11-03 | 08:15:54 | (null) | (null) | 16:57:00 |
| 2 | 2014-10-29 | (null) | 11:07:58 | 12:07:58 | 16:57:58 |
| 2 | 2014-10-28 | 08:22:46 | 11:07:58 | 12:07:58 | 16:57:58 |
| 2 | 2014-10-27 | 08:22:46 | 12:07:58 | 12:57:58 | 16:57:58 |
| 2 | 2014-10-24 | 08:21:38 | 12:53:06 | (null) | 16:58:33 |
| 2 | 2014-10-22 | (null) | (null) | 13:19:55 | 16:19:55 |
| 2 | 2014-10-21 | 08:26:21 | (null) | (null) | (null) |
| 2 | 2014-10-20 | (null) | 12:19:55 | (null) | 16:19:55 |
看着
| 2 | 2014-10-20 | (null) | 12:19:55 | (null) | 16:19:55 |
它可能没有多大意义 - 但似乎符合规范。