• 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
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  • 原文地址:https://www.cnblogs.com/fishparadise/p/4576964.html
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