Grouping of Values: GROUP BY

You can use the GROUP clause to group together the values in a given column and, if necessary, to perform additional calculations for each of these groups using the different column values. With the exception of the column to be grouped, you have to specify a set function for each additional column. You have to specify the GROUP clause after the FROM and WHERE clauses.

SELECT type, SUM(free)

  FROM hotel.room

    GROUP BY type

Number of rooms free, grouped by room type

The Set function used here is the SUM function that calculates the sum of the values.

Result

Since the second column in the results table does not contain any predefined names, the database system selects the column name EXPRESSION1.

SELECT type, MIN(price) min_price, FIXED(AVG(price),5,2) avg_price, MAX(price) max_price

  FROM hotel.room

    GROUP BY type

Calculating the price categories for the rooms, grouped by room type

The set functions used here are MIN (minimum value), AVG (average value) and MAX (maximum value).

Result

The columns in the results table are assigned the names MIN_PRICE, AVG_PRICE and MAX_PRICE.

See also:

Additional Examples of Specifying Set Functions

SQL Reference Manual, GROUP Clause

Groups with Conditions: HAVING

You can use the GROUP clause to group together the values in a given column. You can then use the HAVING clause to exclude groups from the temporary results table. In contrast to using the WHERE clause for excluding values, a Set function that refers to an entire column in a temporary results table usually precedes the HAVING clause.

SELECT type, MIN(price) min_price, FIXED(AVG(price),5,2) avg_price, MAX(price) max_price

  FROM hotel.room

    GROUP BY type

    HAVING MIN(price) >= 70

Calculating the price categories for the rooms, grouped by room type; displaying only the room types with rooms at a price of at least 80 euro

Result

See also: SQL Reference Manual, HAVING Clause