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如何統(tǒng)計全天各個時間段產品銷量情況(sqlserver)

 更新時間:2015年08月14日 10:39:35   作者:Boss_he  
對一個賣場來說,肯定有負責人每天定時去統(tǒng)計每天各個時間段產品銷量情況,以此保證賣場長期可持續(xù)發(fā)展,有的用excel表統(tǒng)計,但是用起來很不方便,下面給大家介紹sqlserver版如何統(tǒng)計全天各個時間段產品銷量情況

數(shù)據庫環(huán)境:SQL SERVER 2005

現(xiàn)有一個產品銷售實時表,表數(shù)據如下:

字段name是產品名稱,字段type是銷售類型,1表示售出,2表示退貨,字段num是數(shù)量,字段ctime是操作時間。

要求:

  在一行中統(tǒng)計24小時內所有貨物的銷售(售出,退貨)數(shù)據,把日期考慮在內。

分析:

  這實際上是行轉列的一個應用,在進行行轉列之前,需要補全24小時的所有數(shù)據。補全數(shù)據可以通過系統(tǒng)的數(shù)字輔助表

spt_values來實現(xiàn),進行行轉列時,根據type和處理后的ctime分組即可。

1.建表,導入數(shù)據

CREATE TABLE snake (name VARCHAR(10 ),type INT,num INT, ctime DATETIME )
INSERT INTO snake VALUES(' 方便面', 1,10 ,'2015-08-10 16:20:05')
INSERT INTO snake VALUES(' 香煙A ', 2,2 ,'2015-08-10 18:21:10')
INSERT INTO snake VALUES(' 香煙A ', 1,5 ,'2015-08-10 20:21:10')
INSERT INTO snake VALUES(' 香煙B', 1,6 ,'2015-08-10 20:21:10')
INSERT INTO snake VALUES(' 香煙B', 2,9 ,'2015-08-10 20:21:10')
INSERT INTO snake VALUES(' 香煙C', 2,9 ,'2015-08-10 20:21:10')

2.補全24小時的數(shù)據

/*枚舉0-23自然數(shù)列*/
WITH  x0
     AS ( SELECT  number AS h
        FROM   master..spt_values
        WHERE  type = 'P'
            AND number >= 0
            AND number <= 23
       ),/*找出表所有的日期*/
    x1
     AS ( SELECT DISTINCT
            CONVERT(VARCHAR(100), ctime, 23) AS d
        FROM   snake
       ),/*補全所有日期的24小時*/
    x2
     AS ( SELECT  x1.d ,
            x0.h
        FROM   x1
            CROSS JOIN x0
       ),
    x3
     AS ( SELECT  name ,
            type ,
            num ,
            DATEPART(hour, ctime) AS h
        FROM   snake
       ),/*整理行轉列需要用到的數(shù)據*/
    x4
     AS ( SELECT  x2.d ,
            x2.h ,
            x3.name ,
            x3.type ,
            x3.num
        FROM   x2
            LEFT JOIN x3 ON x3.h = x2.h
       )

3.行轉列

SELECT ISNULL([0], 0) AS [00] ,
      ISNULL([1], 0) AS [01] ,
      ISNULL([2], 0) AS [02] ,
      ISNULL([3], 0) AS [03] ,
      ISNULL([4], 0) AS [04] ,
      ISNULL([5], 0) AS [05] ,
      ISNULL([6], 0) AS [06] ,
      ISNULL([3], 7) AS [07] ,
      ISNULL([8], 0) AS [08] ,
      ISNULL([9], 0) AS [09] ,
      ISNULL([10], 0) AS [10] ,
      ISNULL([3], 11) AS [11] ,
      ISNULL([12], 0) AS [12] ,
      ISNULL([13], 0) AS [13] ,
      ISNULL([14], 0) AS [14] ,
      ISNULL([3], 15) AS [15] ,
      ISNULL([16], 0) AS [16] ,
      ISNULL([17], 0) AS [17] ,
      ISNULL([18], 0) AS [18] ,
      ISNULL([19], 15) AS [19] ,
      ISNULL([20], 0) AS [20] ,
      ISNULL([21], 0) AS [21] ,
      ISNULL([22], 0) AS [22] ,
      ISNULL([23], 15) AS [23] ,
      type ,
      d AS date
  FROM  ( SELECT  d ,
            h ,
            type ,
            num
       FROM   x4
      ) t PIVOT( SUM(num) FOR h IN ( [0], [1], [2], [3], [4], [5], [6],
                      [7], [8], [9], [10], [11], [12],
                      [13], [14], [15], [16], [17], [18],
                      [19], [20], [21], [22], [23] ) ) t
  WHERE  type IS NOT NULL

來看一下最終效果,只有1天的數(shù)據,可能看起來不是很直觀。

本文的技術點有2個:

  1.利用數(shù)字輔助表補全缺失的記錄

  2.pivot行轉列函數(shù)的使用

以上內容是如何統(tǒng)計全天各個時間段產品銷量情況(sqlserver)的全部內容,希望大家喜歡。

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