docname, specialtycode1, specialtycode2, specialtycode3
我有另一张桌子
specialtycode1, specialtycode1desc
specialtycode2, specialtrycode2desc
specialtycode3, specialtycode3desc
我想要的结果是:
docname, specialtycode1, secialtycode1desc,
specialtycode2, specialtycode2desc,
specialtycode3, specialtycode3desc
我试着这样做一个查询:
join dbo.SpecialtyMapping as f on (e.specialtycode1=f.specialtyabbrev
or e.specialtycode2=f.specialtyabbrev
or e.specialtycode3=f.specialtyabbrev)
我不认为这是正确的解决方案,但不知道从哪里开始。请帮忙!
这是完整的查询:
WITH cte(rejected) AS (SELECT DISTINCT [Specimen ID]
FROM dbo.QuickLabDump
WHERE (Outcome = 'REJECTED') AND ([Specimen ID] IS NOT NULL))
SELECT CONVERT(VARCHAR(8), a.[Date Entered], 1) AS [Full Date], DATEPART(yy, a.[Date Entered]) AS [Year Entered], LEFT(DATENAME(MONTH, a.[Date Entered]), 3)
AS [Month Entered], DATEPART(dd, a.[Date Entered]) AS [Day Entered], CASE WHEN DATEPART(WEEKDAY, [DATE entered])
= 1 THEN 'Sun' WHEN DATEPART(WEEKDAY, [DATE entered]) = 2 THEN 'Mon' WHEN DATEPART(WEEKDAY, [DATE entered])
= 3 THEN 'Tus' WHEN DATEPART(WEEKDAY, [DATE entered]) = 4 THEN 'Wed' WHEN DATEPART(WEEKDAY, [DATE entered])
= 5 THEN 'Thu' WHEN DATEPART(WEEKDAY, [DATE entered]) = 6 THEN 'Fri' WHEN DATEPART(WEEKDAY, [DATE entered]) = 7 THEN 'Sat' END AS DOW,
CONVERT(VARCHAR(8), DATEADD(D, - (1 * DATEPART(dw, a.[Date Entered])) + 6, a.[Date Entered]), 1) AS [Week Ending], COUNT(DISTINCT a.[Specimen ID])
AS CountAccns, c.SALESREP AS [Sales Rep], c.NPI AS MLNPI, e.NPIb AS IMSNPI, e.SpecialtyPrimaryCodeb AS [IMS Specialty Primary Code],
f.specialtydesc,
e.SpecialtySecondaryCodeb AS [IMS Specialty Secondary Code], e.SpecialtyTertiaryCodeb AS [IMS Specialty Tertiary Code],
e.ProfessionalID1b AS [IMS Professional ID 1], a.[Requesting Physician] AS Physician, a.[Practice Code], b.[MLIS Practice ID] AS [MLIS Code], a.[Practice Name],
c.DATEESTABLISHED AS [Date Established], c.PRACTICEADDRESS1 AS Address, c.PRACTICEADDRESS2 AS Address2, c.PRACTICECITY AS City,
c.PRACTICESTATE AS State, d.[MLIS Status] AS Status, MAX(a.[Order Count]) AS [order count]
FROM dbo.QuickLabDump AS a LEFT OUTER JOIN
dbo.qlmlismapping AS b ON b.[Quicklab ID] = a.[Practice Code] LEFT OUTER JOIN
dbo.PracticeandPhysician AS c ON a.[Requesting Physician] = c.DOCTORFIRSTNAME + ' ' + c.DOCTORLASTNAME AND
a.[Practice Code] = c.PRACTICECODE LEFT OUTER JOIN
dbo.IMSData AS e ON c.NPI = e.NPIb LEFT OUTER JOIN
dbo.QLMLISInfo AS d ON b.[MLIS Practice ID] = d.[MLIS Practice ID]
join dbo.SpecialtyMapping as f on (e.specialtyprimarycodeb=f.specialtyabbrev
or e.specialtysecondarycodeb=f.specialtyabbrev
or e.specialtytertiarycodeb=f.specialtyabbrev)
WHERE (a.[Date Entered] > '20110101') AND (NOT EXISTS
(SELECT 1 AS Expr1
FROM cte AS cte_1
WHERE (rejected = a.[Specimen ID]))) AND (NOT EXISTS
(SELECT 1 AS Expr1
FROM dbo.PendingSpecimens
WHERE ([Specimen ID] = a.[Specimen ID])))
GROUP BY a.[Date Entered], c.SALESREP, c.NPI, e.NPIb, e.SpecialtyPrimaryCodeb, e.SpecialtySecondaryCodeb, e.SpecialtyTertiaryCodeb, e.ProfessionalID1b,
a.[Requesting Physician], a.[Practice Code], b.[MLIS Practice ID], a.[Practice Name], c.DATEESTABLISHED, c.PRACTICEADDRESS1, c.PRACTICEADDRESS2,
c.PRACTICECITY, c.PRACTICESTATE, d.[MLIS Status],f.specialtydesc
答案 0 :(得分:1)
如果在第一个表中有三个“专业代码”作为列,则需要三个JOIN,或者您可以从docName表中取消数据并执行单个JOIN。我将使用不需要对原始查询进行过多修改的解决方案:
SELECT
ims.docname
,ims.specialtycode1, sm1.specialtycode1desc
,ims.specialtycode2, sm2.specialtycode2desc
,ims.specialtycode3, sm3.specialtycode3desc
FROM
dbo.IMSData ims
LEFT JOIN
dbo.SpecialtyMapping sm1 ON ims.specialtycode1 = sm1.specialtyabbrev
LEFT JOIN
dbo.SpecialtyMapping sm2 ON ims.specialtycode2 = sm2.specialtyabbrev
LEFT JOIN
dbo.SpecialtyMapping sm3 ON ims.specialtycode3 = sm3.specialtyabbrev
只要您的SpecialtyMapping
表的行是唯一的,这应该可行。
编辑 - 根据评论中的建议更新为LEFT JOIN
。我还注意到列名称与您查询中的列名称不完全匹配,但您将获得要点。
答案 1 :(得分:1)
有很多东西可以用于长时间运行的查询。
从哪里开始寻找。
多少数据?如果您拥有大量数据和大量数据,那么无论您的查询有多好,您的查询都会花费很长时间。然而,大多数数据库可以采取相当大的数量,所以我们假设这不是问题。
您要加入的列的表索引吗?数据库需要找到您要加入的列,如果它们没有编入索引,则此过程可能需要很长时间,索引您要加入的列
在Your_TableName(Column1,Column2等)上创建聚簇索引IX_Your_IndexName
了解如何阅读执行计划,这实际上会告诉您查询运行缓慢的原因。开始的好地方! Here is an article让你开始。