MySQL Group By Clause – javatpoint

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MySQL GROUP BY Clause

The MYSQL GROUP BY Clause is used to collect data from multiple records and group the result by one or more column. It is generally used in a SELECT statement.

You can also use some aggregate functions like COUNT, SUM, MIN, MAX, AVG etc. on the grouped column.

Syntax:

Parameters

expression1, expression2, … expression_n: It specifies the expressions that are not encapsulated within an aggregate function and must be included in the GROUP BY clause.

aggregate_function: It specifies a function such as SUM, COUNT, MIN, MAX, or AVG etc.
tables: It specifies the tables, from where you want to retrieve the records. There must be at least one table listed in the FROM clause.

WHERE conditions: It is optional. It specifies the conditions that must be fulfilled for the records to be selected.

(i) MySQL GROUP BY Clause with COUNT function

Consider a table named “officers” table, having the following records.

MySQL group by clause 1

Now, let’s count repetitive number of cities in the column address.

Execute the following query:

Output:

MySQL group by clause 2

(ii) MySQL GROUP BY Clause with SUM function

Let’s take a table “employees” table, having the following data.

MySQL group by clause 3

Now, the following query will GROUP BY the example using the SUM function and return the emp_name and total working hours of each employee.

Execute the following query:

Output:

MySQL group by clause 4

(iii) MySQL GROUP BY Clause with MIN function

The following example specifies the minimum working hours of the employees form the table “employees”.

Execute the following query:

Output:

MySQL group by clause 5

(iv) MySQL GROUP BY Clause with MAX function

The following example specifies the maximum working hours of the employees form the table “employees”.

Execute the following query:

Output:

MySQL group by clause 6

(v) MySQL GROUP BY Clause with AVG function

The following example specifies the average working hours of the employees form the table “employees”.

Execute the following query:

Output:

MySQL group by clause 7

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MySQL Having

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