如何統(tǒng)計全天各個時間段產(chǎn)品銷量情況（sqlserver）
數(shù)據(jù)庫環(huán)境：SQL SERVER 2005
現(xiàn)有一個產(chǎn)品銷售實時表，表數(shù)據(jù)如下：
字段name是產(chǎn)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(nèi)所有貨物的銷售（售出，退貨）數(shù)據(jù)，把日期考慮在內(nèi)。
分析：
這實際上是行轉(zhuǎn)列的一個應(yīng)用，在進(jìn)行行轉(zhuǎn)列之前，需要補(bǔ)全24小時的所有數(shù)據(jù)。補(bǔ)全數(shù)據(jù)可以通過系統(tǒng)的數(shù)字輔助表
spt_values來實現(xiàn)，進(jìn)行行轉(zhuǎn)列時，根據(jù)type和處理后的ctime分組即可。
1.建表，導(dǎo)入數(shù)據(jù)
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(bǔ)全24小時的數(shù)據(jù)
/*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(bǔ)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(zhuǎn)列需要用到的數(shù)據(jù)*/
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(zhuǎn)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(jù)，可能看起來不是很直觀。
本文的技術(shù)點有2個：
1.利用數(shù)字輔助表補(bǔ)全缺失的記錄
2.pivot行轉(zhuǎn)列函數(shù)的使用
以上內(nèi)容是如何統(tǒng)計全天各個時間段產(chǎn)品銷量情況（sqlserver）的全部內(nèi)容，希望大家喜歡。
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