16 May 2020

Query Patterns in SQL Server: Joins and Subqueries

The basis for being able to manipulate data via SQL scripting is a good knowledge of using joins and subqueries as seems fit for the purpose and data models. The following scripts are based on the tables created in a previous post.

-- FULL JOIN
SELECT *
FROM dbo.T_Courses C
     JOIN dbo.T_Students S
        ON C.CourseId = S.CourseId
 ORDER BY C.CourseName
 , S.StudentName 

-- FULL JOIN (deprecated)
 SELECT *
 FROM dbo.T_Courses C
 , dbo.T_Students S
 WHERE C.CourseId = S.CourseId
 ORDER BY C.CourseName
 , S.StudentName 

--LEFT JOIN
 SELECT *
 FROM dbo.T_Courses C
      LEFT JOIN dbo.T_Students S
        ON C.CourseId = S.CourseId 
 WHERE S.CourseId IS NULL
 ORDER BY C.CourseName
 , S.StudentName 

-- RIGHT JOIN
 SELECT *
 FROM dbo.T_Courses C
      RIGHT JOIN dbo.T_Students S
       ON C.CourseId = S.CourseId 
 WHERE C.CourseId IS NULL
 ORDER BY C.CourseName
 , S.StudentName 

-- FULL OUTER JOIN
 SELECT *
 FROM dbo.T_Courses C
      FULL OUTER JOIN dbo.T_Students S
        ON C.CourseId = S.CourseId 
 --WHERE C.CourseId IS NULL
 --WHERE S.CourseId IS NULL
 --WHERE (C.CourseId IS NULL OR S.StudentId IS NULL)
 --WHERE (C.CourseId IS NULL AND S.StudentId IS NULL)
 ORDER BY C.CourseName
 , S.StudentName 

The IN, NOT IN, EXISTS and NOT EXISTS allow using correlated queries, their use being indicated when there are no actual data needed from the tables involved in the correlated queries:

-- EXISTS (correlated subquery)
SELECT *
FROM dbo.T_Courses C
WHERE EXISTS (SELECT StudentId 
        FROM dbo.T_Students S
        WHERE C.CourseId = S.CourseId)
ORDER BY C.CourseName

-- NOT EXISTS (correlated subquery)
 SELECT *
 FROM dbo.T_Courses C
 WHERE EXISTS (SELECT StudentId 
        FROM dbo.T_Students S
        WHERE C.CourseId = S.CourseId)
 ORDER BY C.CourseName

-- IN (subquery)
 SELECT *
 FROM dbo.T_Courses C
 WHERE CourseId IN (SELECT CourseId 
        FROM dbo.T_Students S)
 ORDER BY C.CourseName

Joining multiples tables is done using the same principles as above:

-- joins with more tables 
SELECT A.CourseId 
, C.CourseName 
, A.StudentId 
, S.StudentName 
 , A.StartDate 
 , A.EndDate 
FROM dbo.T_Allocations A
      JOIN dbo.T_Courses C
        ON A.CourseId = C.CourseId 
      JOIN dbo.T_Students S
        ON A.StudentId = S.StudentId 
 ORDER BY C.CourseName 
 , S.StudentName 

One can obtain the same result via correlated subqueries (a technique often met between Oracle developers). From readability reasons I avoid writing such queries, unless there’s a special purpose to do so.

-- correlated subquery for individual values
SELECT A.CourseId 
, (SELECT C.CourseName 
    FROM dbo.T_Courses C
    WHERE A.CourseId = C.CourseId) CourseName
 , A.StudentId 
 , (SELECT S.StudentName 
    FROM dbo.T_Students S
    WHERE A.StudentId = S.StudentId) StudentName
 , A.StartDate 
 , A.EndDate 
FROM dbo.T_Allocations A
 ORDER BY CourseName 
 , StudentName 

When displaying values within a SELECT via a correlated subqueries, some developers feel the need to use MAX or MIN functions to make sure only one value will be returned. For data analysis it may be acceptable, however if the data model imposes it, then a redesign of the solution is more likely necessary.

-- correlated subquery for individual values
 SELECT A.CourseId 
 , (SELECT Max(C.CourseName)
    FROM dbo.T_Courses C
    WHERE A.CourseId = C.CourseId) CourseName
 , A.StudentId 
 , (SELECT Max(S.StudentName)
    FROM dbo.T_Students S
    WHERE A.StudentId = S.StudentId) StudentName
 , A.StartDate 
 , A.EndDate 
 FROM dbo.T_Allocations A
 ORDER BY CourseName 
 , StudentName 

Another technique not recommended is displaying one or more attributes from the same table with the same conditions via individual correlated queries. The use of aggregate functions is more appropriate however with numerical or date values.

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