字符/字段数据的合并

前两篇文章是关于字符串分割的一些经验,今天来谈下字符的合并,更确切的说是字段数据的合并吧。现在很多公司,尤其是工厂,上下班都要刷卡。假如有以下的数据库表,记录着员工上下班的刷卡记录。但是这样直接导出或显示,不太好看,不够直观。下面实现把每个员工每天的刷卡时间横向显示。

 

插入测试数据:

 1 CREATE TABLE CARD_RECORD (
 2     id_ INT IDENTITY(1,1) NOT NULL PRIMARY KEY,
 3     card_id INT NOT NULL,
 4     swipe_date DATETIME NOT NULL
 5 )
 6 GO
 7 
 8 INSERT INTO CARD_RECORD (card_id,swipe_date)
 9 SELECT '10001','2015-06-01 08:21'
10 UNION ALL
11 SELECT '10002','2015-06-01 08:22'
12 UNION ALL
13 SELECT '10001','2015-06-01 12:00'
14 UNION ALL
15 SELECT '10002','2015-06-01 12:01'
16 UNION ALL
17 SELECT '10001','2015-06-01 13:00'
18 UNION ALL
19 SELECT '10002','2015-06-01 13:01'
20 UNION ALL
21 SELECT '10002','2015-06-01 18:05'
22 UNION ALL
23 SELECT '10001','2015-06-01 18:12'
24 UNION ALL
25 SELECT '10002','2015-06-02 08:31'
26 UNION ALL
27 SELECT '10001','2015-06-02 08:42'
28 UNION ALL
29 SELECT '10001','2015-06-02 12:10'
30 UNION ALL
31 SELECT '10002','2015-06-02 12:11'
32 UNION ALL
33 SELECT '10001','2015-06-02 13:00'
34 UNION ALL
35 SELECT '10002','2015-06-02 13:11'
36 UNION ALL
37 SELECT '10001','2015-06-02 18:05'
38 UNION ALL
39 SELECT '10002','2015-06-02 18:12'
40 UNION ALL
41 SELECT '10002','2015-06-02 19:34'
42 UNION ALL
43 SELECT '10001','2015-06-03 08:36'
44 UNION ALL
45 SELECT '10002','2015-06-03 08:40'
46 UNION ALL
47 SELECT '10001','2015-06-03 12:20'
48 UNION ALL
49 SELECT '10002','2015-06-03 12:20'
50 UNION ALL
51 SELECT '10001','2015-06-03 12:55'
52 UNION ALL
53 SELECT '10002','2015-06-03 12:56'
54 UNION ALL
55 SELECT '10001','2015-06-03 18:05'
56 GO
View Code

创建字符/字段数据合并的函数:

 1 IF OBJECT_ID(N'fn_time_list') IS NOT NULL
 2 BEGIN
 3     DROP FUNCTION fn_time_list
 4 END
 5 GO
 6 
 7 CREATE FUNCTION fn_time_list (@date DATETIME,@card_id NVARCHAR(100))
 8 RETURNS NVARCHAR(MAX)
 9 AS 
10 BEGIN
11     DECLARE @char NVARCHAR(MAX)
12     DECLARE @date2 DATE
13     SET @char = ''
14     SET @date = CAST(@date AS DATE)
15     SET @date2 = DATEADD(DAY,1,CAST(@date AS DATE))
16     
17     SELECT @char = @char + CONVERT(CHAR(5),swipe_date,108) + ',' FROM CARD_RECORD 
18     WHERE (swipe_date >= @date AND swipe_date < @date2) AND card_id=@card_id
19     ORDER BY swipe_date ASC
20     
21     SET @char = CASE WHEN @char = '' THEN '' ELSE SUBSTRING(@char,1,LEN(@char)-1) END
22     
23     RETURN (@char)
24 END
25 GO

最后,把数据转换一下,展示:

1 SELECT DISTINCT card_id,CONVERT(char(10),swipe_date,23) AS swipe_date,dbo.fn_time_list(swipe_date,card_id) AS time_list
2 FROM CARD_RECORD 
3 ORDER BY card_id ASC,swipe_date ASC
4 GO

执行结果:

这里,还可以把竖向的刷卡时间,每个时间占一个字段,横向显示。不过会有刷卡次数的限制,一般来说,一天预留十次刷卡记录应该是足够了。

 1 WITH CTE1 AS (
 2     SELECT 
 3      card_id
 4     ,CONVERT(CHAR(10),swipe_date,23) AS swipe_date
 5     ,CONVERT(CHAR(5),swipe_date,108) AS swipe_time
 6     FROM CARD_RECORD
 7 )
 8 
 9 ,CTE2 AS (
10     SELECT 
11      ROW_NUMBER() OVER (PARTITION BY card_id,swipe_date ORDER BY card_id ASC,swipe_date ASC,swipe_time ASC) AS row_no
12     ,card_id
13     ,swipe_date
14     ,swipe_time
15     FROM CTE1
16 )
17 
18 SELECT 
19  t1.card_id
20 ,t1.swipe_date
21 ,t1.swipe_time AS time1
22 ,ISNULL(t2.swipe_time,'') AS time2
23 ,ISNULL(t3.swipe_time,'') AS time3
24 ,ISNULL(t4.swipe_time,'') AS time4
25 ,ISNULL(t5.swipe_time,'') AS time5
26 ,ISNULL(t6.swipe_time,'') AS time6
27 ,ISNULL(t7.swipe_time,'') AS time7
28 ,ISNULL(t8.swipe_time,'') AS time8
29 ,ISNULL(t9.swipe_time,'') AS time9
30 ,ISNULL(t10.swipe_time,'') AS time10
31 
32 FROM CTE2 AS t1
33 LEFT JOIN CTE2 AS t2 ON t2.card_id = t1.card_id AND t2.swipe_date = t1.swipe_date AND t2.row_no = 2
34 LEFT JOIN CTE2 AS t3 ON t3.card_id = t1.card_id AND t3.swipe_date = t1.swipe_date AND t3.row_no = 3
35 LEFT JOIN CTE2 AS t4 ON t4.card_id = t1.card_id AND t4.swipe_date = t1.swipe_date AND t4.row_no = 4
36 LEFT JOIN CTE2 AS t5 ON t5.card_id = t1.card_id AND t5.swipe_date = t1.swipe_date AND t5.row_no = 5
37 LEFT JOIN CTE2 AS t6 ON t6.card_id = t1.card_id AND t6.swipe_date = t1.swipe_date AND t6.row_no = 6
38 LEFT JOIN CTE2 AS t7 ON t7.card_id = t1.card_id AND t7.swipe_date = t1.swipe_date AND t7.row_no = 7
39 LEFT JOIN CTE2 AS t8 ON t8.card_id = t1.card_id AND t8.swipe_date = t1.swipe_date AND t8.row_no = 8
40 LEFT JOIN CTE2 AS t9 ON t9.card_id = t1.card_id AND t9.swipe_date = t1.swipe_date AND t9.row_no = 9
41 LEFT JOIN CTE2 AS t10 ON t10.card_id = t1.card_id AND t10.swipe_date = t1.swipe_date AND t10.row_no = 10
42 
43 WHERE t1.row_no = 1
44 ORDER BY t1.card_id ASC,t1.swipe_date ASC
45 GO

最后的效果:

======= 以下代码减少了CTE虚拟表LEFT JOIN的次数,效率更高。修改于2015-06-24 19:22 ===========

 1 ;WITH CTE3 AS (
 2     SELECT 
 3      card_id
 4     ,CONVERT(CHAR(10),swipe_date,23) AS swipe_date
 5     ,CONVERT(CHAR(5),swipe_date,108) AS swipe_time
 6     FROM CARD_RECORD
 7 )
 8 
 9 ,CTE4 AS (
10     SELECT 
11      ROW_NUMBER() OVER (PARTITION BY card_id,swipe_date ORDER BY card_id ASC,swipe_date ASC,swipe_time ASC) AS row_no
12     ,card_id
13     ,swipe_date
14     ,swipe_time
15     FROM CTE3
16 )
17 
18 SELECT 
19  card_id
20 ,swipe_date
21 ,MAX(CASE WHEN row_no = 1 THEN swipe_time ELSE '' END) AS time1
22 ,MAX(CASE WHEN row_no = 2 THEN swipe_time ELSE '' END) AS time2
23 ,MAX(CASE WHEN row_no = 3 THEN swipe_time ELSE '' END) AS time3
24 ,MAX(CASE WHEN row_no = 4 THEN swipe_time ELSE '' END) AS time4
25 ,MAX(CASE WHEN row_no = 5 THEN swipe_time ELSE '' END) AS time5
26 ,MAX(CASE WHEN row_no = 6 THEN swipe_time ELSE '' END) AS time6
27 ,MAX(CASE WHEN row_no = 7 THEN swipe_time ELSE '' END) AS time7
28 ,MAX(CASE WHEN row_no = 8 THEN swipe_time ELSE '' END) AS time8
29 ,MAX(CASE WHEN row_no = 9 THEN swipe_time ELSE '' END) AS time9
30 ,MAX(CASE WHEN row_no = 10 THEN swipe_time ELSE '' END) AS time10
31 
32 FROM CTE4
33 GROUP BY card_id,swipe_date
34 ORDER BY card_id ASC,swipe_date ASC
35 
36 GO
原文地址:https://www.cnblogs.com/fishparadise/p/4576964.html