[英]Using CASE logic after DATEDIFF
我正在成功使用DATEDIFF邏輯來計算Age。 然后,我需要能夠使用Age並將其用作CASE邏輯中的一列。 當我嘗試這樣做時,SMS用紅色下划線標記Age(年齡),並指出這是無效列。 我怎樣才能解決這個問題?
USE DataWarehouse
SELECT DISTINCT
M.[Account Name Birth Date] as 'Birth Date',
M.[Mailing Address State] as 'State',
E.[ANSVIES2] as 'Income',
E.[FICO] as 'FICO Score',
DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 as [Age],
CASE WHEN [Age] >= 18 AND [Age] <= 34 AND E.[ANSVIES2] >= 50 THEN 'Credit
Driven'
WHEN [Age] < 45 AND E.[ANSVIES2] < 50 THEN 'Fee Driven'
WHEN [Age] >= 35 AND [Age] <= 54 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <=
125 THEN 'Middle Market'
WHEN [Age] >= 45 AND E.[ANSVIES2] < 50 THEN 'Low Income Depositor'
WHEN [Age] >= 55 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125 THEN 'Middle
Income Depositor'
WHEN [Age] >= 35 AND E.[ANSVIES2] >= 125 THEN 'Upscale'
ELSE 'Unclassified' END as 'Consumer Segment'
或使用子選擇(不是最佳方法,具體取決於您的數據庫大小和索引,臨時表或臨時表可能會更好,具體取決於您的位置,但這應該可以):
Select CASE WHEN [Age] >= 18 AND [Age] <= 34 AND E.[ANSVIES2] >= 50 THEN 'Credit
Driven'
WHEN [Age] < 45 AND E.[ANSVIES2] < 50 THEN 'Fee Driven'
WHEN [Age] >= 35 AND [Age] <= 54 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <=
125 THEN 'Middle Market'
WHEN [Age] >= 45 AND E.[ANSVIES2] < 50 THEN 'Low Income Depositor'
WHEN [Age] >= 55 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125 THEN 'Middle
Income Depositor'
WHEN [Age] >= 35 AND E.[ANSVIES2] >= 125 THEN 'Upscale'
ELSE 'Unclassified' END as 'Consumer Segment'
, OtherColumnsHere
FROM (
SELECT DISTINCT
M.[Account Name Birth Date] as 'Birth Date',
M.[Mailing Address State] as 'State',
E.[ANSVIES2] as 'Income',
E.[FICO] as 'FICO Score',
DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 as [Age],
FROM RestOfYourSelectStatementHere
) SubSelect
您不需要使用subquery
您可以直接將其表示為使用value
構造:
SELECT . . . ,
(CASE WHEN tt.Age >= 18 AND tt.Age <= 34 AND t.[ANSVIES2] >= 50
THEN 'Credit Driven'
WHEN [Age] < 45 AND E.[ANSVIES2] < 50 THEN 'Fee Driven'
WHEN [Age] >= 35 AND [Age] <= 54 AND
E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125
THEN 'Middle Market'
WHEN [Age] >= 45 AND E.[ANSVIES2] < 50
THEN 'Low Income Depositor'
WHEN [Age] >= 55 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125
THEN 'Middle Income Depositor'
WHEN [Age] >= 35 AND E.[ANSVIES2] >= 125 THEN 'Upscale'
ELSE 'Unclassified'
END) AS [Consumer Segment]
FROM table t
CROSS APPLY (VALUES
(DATEDIFF(DD, t.[Account Name Birth Date],GETDATE())/365)
) tt(Age);
上面發布的代碼由於某些原因無法正常工作。 我能夠成功實現此解決方案-
USE DataWarehouse
SELECT DISTINCT
M.[Symitar Account Id] as 'Symitar ID',
M.[Account Name Birth Date] as 'Birth Date',
M.[Account Name Death Date] as 'Death Date',
M.[Mailing Address State] as 'State',
E.[ANSVIES2] as 'Income',
E.[FICO] as 'FICO Score',
M.[Loan Type] as 'Loan Description',
M.[Loan Type Code] as 'Loan Type',
M.[Share Type] as 'Share Description',
M.[Share Type Code] as 'Share Type',
DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 as [Age],
CASE WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 >= 18 AND
DATEDIFF(DD,M.[Account Name Birth Date],
GETDATE())/365 <= 34 AND E.[ANSVIES2] >= 50 THEN 'Credit Driven'
WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 < 45 AND E.
[ANSVIES2] < 50 THEN 'Fee Driven'
WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 >= 35 AND
DATEDIFF(DD,M.[Account Name Birth Date],
GETDATE())/365 <= 54 AND E.[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125 THEN
'Middle Market'
WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 >= 45 AND E.
[ANSVIES2] < 50 THEN 'Low Income Depositor'
WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 >= 55 AND E.
[ANSVIES2] >= 50 AND E.[ANSVIES2] <= 125
THEN 'Middle Income Depositor'
WHEN DATEDIFF(DD,M.[Account Name Birth Date],GETDATE())/365 >= 35 AND E.
[ANSVIES2] >= 125 THEN 'Upscale'
ELSE 'Unclassified' END as 'Consumer Segment'
FROM Accounts.ExperianData E
INNER JOIN Accounts.MemberCube M
ON E.[Symitar Account Id] = M.[Symitar Account Id]
WHERE M.[Account Name Type] = 'Primary' AND /* Primary acct holders */
M.[Account Status] = 'Open' AND
M.[Account Type] IN ('General Membership', 'Indirect Account', 'Employee Acc
ount') AND
/* Remove businesses and internal accounts */
M.[Account Name Birth Date] <= '05/18/1997' /* Older than 21 */ AND
M.[Mailing Address State] IN('UT', 'ID', 'AZ', 'NV', 'NM')
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.