如何将SQL查询与不同的表达式组合起来？

Question

我有三个查询已经达到了我的SQL知识的顶峰(Microsoft SQL 2005，如果这很重要的话)-现在我需要将它们组合到一个查询中，所有值都在一行中。

我的实际查询如下，但我认为如果我在这里提供一个简单的版本会更容易：

问题一：

-- Provides School District summary based on a CountyID
SELECT DistrictID, Count(Schools) as NumberofSchools
FROM Schools
WHERE (CountyID = 207)
GROUP BY DistrictID

查询一个示例输出：

DistrictID  |  NumberofSchools
345         |  26
567         |  17
211         |  9

问题二：

-- Summarizes Activity from our Contact Manager (GoldMine)
SELECT DistrictID, Count(Contacts) as NumberofContacts, MAX(Contact) as LastActivity
FROM ContactManager JOINED WITH CONTACT MANAGER TABLES
WHERE (CountyID = 207)
GROUP BY DistrictID

查询两个示例输出：

DistrictID  |  NumberofContacts  |  LastActivity
345         |  29                |  Nov 12, 2010
567         |  31                |  Dec 5, 2010
211         |  4                 |  Oct 9, 2010

问题三：

-- Summarizes data from our Opt-In Email Newsletter
SELECT DistrictID, Count(EmailSubscribers) AS NumberofSubscribers, MAX(Date) AS LastSent
FROM SubscribeList JOINED WITH Schools Tables
WHERE (CountyID = 207)
GROUP BY DistrictID

查询三个示例输出：

DistrictID  |  NumberofSubscribers  |  LastSent
345         |  2                    |  Sep 4, 2010
567         |  3                    |  Oct 22, 2010
211         |  1                    |  NULL

我曾尝试用一个父SELECT语句(遵循this weblink的详细信息并为每个数据集引入SELECT NULL作为MissingColumnName )将它们合并在一起，但它真的很难看-而且不会在一行上返回所有内容。

我正在寻找这样的结果：

DistrictID  |  NumberofSchools  |  NumberofContacts  |  LastActivity  |  NumberofSubscribers  |  LastSent
345         |  26               |  29                |  Nov 12, 2010  |  2                     |  Sep 4, 2010
567         |  17               |  31                |  Dec 5, 2010   |  3                     |  Oct 22, 2010 
211         |  9                |  4                 |  Oct 9, 2010   |  1                     |  NULL

我怎么才能让它工作呢？(如果你很好奇，我加入的真实查询如下所示)

谢谢你的帮助！，

拉塞尔·舒特

我已经尽我所能地清理了它们--抱歉，它们显示得不是很好。(这些也可能有问题-它们是我的SQL知识的顶端，但到目前为止，结果似乎是准确的。) :-)

问题一：

SELECT
    institutionswithzipcodesadditional_1.DistrictID, institutionswithzipcodesadditional_1.InstitutionName, institutionswithzipcodesadditional_1.Latitude, institutionswithzipcodesadditional_1.Longitude,
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (4, 5, 6, 7, 8, 14, 15, 16, 20) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS OthersEnrollment,
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (4, 5, 6, 7, 8, 14, 15, 16, 20) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS OthersCount, 
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (13) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS K12SchoolsEnrollment, 
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (13) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS K12SchoolsCount, 
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (12) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS HighSchoolsEnrollment, 
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (12) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS HighSchoolsCount, 
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (10, 11) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS MiddleSchoolsEnrollment,
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (10, 11) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS MiddleSchoolsCount,
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (9) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS ElementariesEnrollment,
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (9) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS ElementariesCount,
    SUM(CASE WHEN institutionswithzipcodesadditional.LevelID IN (4, 5, 6, 7, 8, 14, 15, 16, 20, 13, 12, 10, 11, 9) THEN institutionswithzipcodesadditional.Enrollment ELSE 0 END) AS AllSchoolsEnrollment, 
    COUNT(CASE WHEN institutionswithzipcodesadditional.LevelID IN (4, 5, 6, 7, 8, 14, 15, 16, 20, 13, 12, 10, 11, 9) THEN institutionswithzipcodesadditional.InstitutionID ELSE NULL END) AS AllSchoolsCount
FROM zipcodes 
    INNER JOIN users_link_territory ON zipcodes.CountyID = users_link_territory.CountyID
    INNER JOIN institutionswithzipcodesadditional ON zipcodes.ZIP = institutionswithzipcodesadditional.ZIP
    RIGHT OUTER JOIN institutionswithzipcodesadditional AS institutionswithzipcodesadditional_1 ON institutionswithzipcodesadditional.DistrictID = institutionswithzipcodesadditional_1.InstitutionID
WHERE
    (institutionswithzipcodesadditional_1.CountyID = 207)
AND (institutionswithzipcodesadditional_1.LevelID IN (1, 2, 3, 6, 7, 8))
GROUP BY institutionswithzipcodesadditional_1.DistrictID, institutionswithzipcodesadditional_1.InstitutionName, institutionswithzipcodesadditional_1.Latitude, institutionswithzipcodesadditional_1.Longitude

问题二：

SELECT
institutionswithzipcodesadditional_1.InstitutionID AS DistrictID,
COUNT(GoldMine.dbo.CONTACT1.ACCOUNTNO) AS GM,
MAX(CASE WHEN GoldMine.dbo.CONTHIST.USERID NOT IN ('DEBRA', 'TRISH', 'RUSSELL', 'GREG') THEN GoldMine.dbo.CONTHIST.OnDate ELSE NULL END) AS LastActivity
FROM institutionswithzipcodesadditional
    LEFT OUTER JOIN contacts
    LEFT OUTER JOIN GoldMine.dbo.CONTACT1
    RIGHT OUTER JOIN GoldMine_Link_Russell 
    ON GoldMine.dbo.CONTACT1.KEY3 = GoldMine_Link_Russell.GoldMineKeyThree
    ON contacts.ContactID = GoldMine_Link_Russell.ContactID 
    ON institutionswithzipcodesadditional.InstitutionID = contacts.InstitutionID
    RIGHT OUTER JOIN institutionswithzipcodesadditional AS institutionswithzipcodesadditional_1
    ON institutionswithzipcodesadditional.DistrictID = institutionswithzipcodesadditional_1.InstitutionID
    LEFT OUTER JOIN GoldMine.dbo.CONTHIST ON GoldMine.dbo.CONTHIST.ACCOUNTNO = GoldMine.dbo.CONTACT1.ACCOUNTNO
WHERE (institutionswithzipcodesadditional_1.CountyID = 207) AND (institutionswithzipcodesadditional_1.LevelID IN (1, 2, 3, 6, 7, 8))
GROUP BY institutionswithzipcodesadditional_1.InstitutionID

问题三：

SELECT
COUNT(NewsletterContacts.Email) AS EMailableContacts,
institutionswithzipcodesadditional_1.InstitutionID AS DistrictID,
MAX(newsletterregister.Sent) AS LastSent
FROM newsletterregister
    RIGHT OUTER JOIN contacts ON newsletterregister.ContactID = contacts.ContactID
    RIGHT OUTER JOIN institutionswithzipcodesadditional ON contacts.InstitutionID = institutionswithzipcodesadditional.InstitutionID
    LEFT OUTER JOIN EmailableContacts ON institutionswithzipcodesadditional.InstitutionID = EmailableContacts.InstitutionID
    RIGHT OUTER JOIN institutionswithzipcodesadditional AS institutionswithzipcodesadditional_1 ON 
    institutionswithzipcodesadditional.DistrictID = institutionswithzipcodesadditional_1.InstitutionID
WHERE
    (institutionswithzipcodesadditional_1.CountyID = 207)
    AND (institutionswithzipcodesadditional_1.LevelID IN (1, 2, 3, 6, 7, 8))
GROUP BY institutionswithzipcodesadditional_1.InstitutionID

Answer 1

我借鉴了Mark的解决方案的一部分，但我想向您展示这种布局的可读性。这样，您就不会在一条select语句中塞进所有三个查询。这为您提供了一些使用临时表或表变量可能获得的可维护性好处，但下面的更改要灵活得多，因为您不必在每次添加/删除列时都要处理表声明。

With SomeGoodName as
(
  SELECT ...
)
,
AnotherDescriptiveName as
(
  Select ...
)
,
AThirdNiceName as
(
  Select ...
)
SELECT
    T1.DistrictID,
    T1.NumberofSchools,
    T2.NumberofContacts,
    T2.LastActivity,
    T3.NumberofSubscribers,
    T3.LastSent
FROM SomeGoodName T1
JOIN AnotherDescriptiveName T2 ON T1.DistrictID = T2.DistrictID
JOIN AThirdNiceName T3 ON T1.DistrictID = T3.DistrictID

Answer 2

是的，您可以使用joins来实现：

SELECT
    T1.DistrictID,
    T1.NumberofSchools,
    T2.NumberofContacts,
    T2.LastActivity,
    T3.NumberofSubscribers,
    T3.LastSent
FROM (SELECT ...) T1
JOIN (SELECT ...) T2 ON T1.DistrictID = T2.DistrictID
JOIN (SELECT ...) T3 ON T1.DistrictID = T3.DistrictID

(SELECT ...)是三个原始查询的占位符。如果三个查询可能返回不同的地区，也就是说，如果一个地区出现在一个查询的结果中，但在另一个查询中缺失，那么您可能还需要考虑使用外部连接。

Answer 3

你将在这里得到许多答案，虽然我同意你“可以”将所有这些都放在一个select中，但我认为如果你使用一些临时表或类似的东西，你将会有一个更容易维护和运行的过程。

例如，创建临时表以存储三个查询的结果，然后将三个临时表连接在一起以获得最终结果，然后销毁临时表。

通过这种方式，您可以让查询继续执行它们正在执行的操作，并且可以专注于最终聚合。

正如另一位发帖人所提到的，你可以使用来自项目的单个查询来做到这一点，但这可能会变得非常难以维护。