GROUP BY

Simple Grouping

Orders Table

When grouping by a specific column, only unique values of this column are returned.

SELECT customerId
FROM orders
GROUP BY customerId;

Return value:

Aggregate functions like count() apply to each group and not to the complete table:

SELECT customerId, 
       COUNT(productId) as numberOfProducts,
       sum(price) as totalPrice
FROM orders
GROUP BY customerId;

Return value:

GROUP BY multiple columns

One might want to GROUP BY more than one column

declare @temp table(age int, name varchar(15))

insert into @temp
select 18, 'matt' union all
select 21, 'matt' union all
select 21, 'matt' union all
select 18, 'luke' union all
select 18, 'luke' union all
select 21, 'luke' union all
select 18, 'luke' union all
select 21, 'luke'

SELECT Age, Name, count(1) count
FROM @temp 
GROUP BY Age, Name

will group by both age and name and will produce:

Group by with multiple tables, multiple columns

Group by is often used with join statement. Let’s assume we have two tables. The first one is the table of students:

Second table is the table of subject each student can take:

And because one student can attend many subjects and one subject can be attended by many students (therefore N:N relationship) we need to have third “bounding” table. Let’s call the table Students_subjects:

Now lets say we want to know the number of subjects each student is attending. Here the standalone GROUP BY statement is not sufficient as the information is not available through single table. Therefore we need to use GROUP BY with the JOIN statement:

Select Students.FullName, COUNT(Subject Id) as SubjectNumber FROM Students_Subjects
LEFT JOIN Students
ON Students_Subjects.Student_id = Students.Id
GROUP BY Students.FullName

The result of the given query is as follows:

For an even more complex example of GROUP BY usage, let’s say student might be able to assign the same subject to his name more than once (as shown in table Students_Subjects). In this scenario we might be able to count number of times each subject was assigned to a student by GROUPing by more than one column:

SELECT Students.FullName, Subjects.Subject,
COUNT(Students_subjects.Subject_id) AS NumberOfOrders
FROM ((Students_Subjects
INNER JOIN Students
ON Students_Subjcets.Student_id=Students.Id)
INNER JOIN Subjects
ON Students_Subjects.Subject_id=Subjects.Subject_id)
GROUP BY Fullname,Subject

This query gives the following result:

HAVING

Because the WHERE clause is evaluated before GROUP BY, you cannot use WHERE to pare down results of the grouping (typically an aggregate function, such as COUNT(*)). To meet this need, the HAVING clause can be used.

For example, using the following data:

DECLARE @orders TABLE(OrderID INT, Name NVARCHAR(100))

INSERT INTO @orders VALUES
( 1, 'Matt' ),
( 2, 'John' ),
( 3, 'Matt' ),
( 4, 'Luke' ),
( 5, 'John' ),
( 6, 'Luke' ),
( 7, 'John' ),
( 8, 'John' ),
( 9, 'Luke' ),
( 10, 'John' ),
( 11, 'Luke' )

If we want to get the number of orders each person has placed, we would use

SELECT Name, COUNT(*) AS 'Orders'
FROM @orders
GROUP BY Name

and get

However, if we want to limit this to individuals who have placed more than two orders, we can add a HAVING clause.

SELECT Name, COUNT(*) AS 'Orders'
FROM @orders
GROUP BY Name
HAVING COUNT(*) > 2

will yield

Note that, much like GROUP BY, the columns put in HAVING must exactly match their counterparts in the SELECT statement. If in the above example we had instead said

SELECT Name, COUNT(DISTINCT OrderID)

our HAVING clause would have to say

HAVING COUNT(DISTINCT OrderID) > 2

GROUP BY with ROLLUP and CUBE

The ROLLUP operator is useful in generating reports that contain subtotals and totals.

• CUBE generates a result set that shows aggregates for all combinations of values in the selected columns.

• ROLLUP generates a result set that shows aggregates for a hierarchy of values in the selected columns.

  Item	Color	Quantity
  Table	Blue	124
  Table	Red	223
  Chair	Blue	101
  Chair	Red	210

  SELECT CASE WHEN (GROUPING(Item) = 1) THEN ‘ALL’ ELSE ISNULL(Item, ‘UNKNOWN’) END AS Item, CASE WHEN (GROUPING(Color) = 1) THEN ‘ALL’ ELSE ISNULL(Color, ‘UNKNOWN’) END AS Color, SUM(Quantity) AS QtySum FROM Inventory GROUP BY Item, Color WITH ROLLUP

  Item Color QtySum

  ---

  Chair Blue 101.00
  Chair Red 210.00
  Chair ALL 311.00
  Table Blue 124.00
  Table Red 223.00
  Table ALL 347.00
  ALL ALL 658.00

(7 row(s) affected)

If the ROLLUP keyword in the query is changed to CUBE, the CUBE result set is the same, except these two additional rows are returned at the end:

ALL                  Blue                 225.00                     
ALL                  Red                  433.00 

https://technet.microsoft.com/en-us/library/ms189305(v=sql.90).aspx