l5 aggregate functions

Aggregate Functions

1Rushdi Shams, Lecturer, Dept of CSE, KUET, Bangladesh

Aggregate Functions ISO standard defines five aggregate functions:1. COUNT returns number of values in specified

column.2. SUM returns sum of values in specified column.3. AVG returns average of values in specified column.4. MIN returns smallest value in specified column.5. MAX returns largest value in specified column.

Rushdi Shams, Lecturer, Dept of CSE, KUET, Bangladesh 2

Things to remember

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Count Function The COUNT() function returns the number of rows that

matches a specified criteria. The COUNT(column_name) function returns the number of

values (NULL values will not be counted) of the specified column:

Rushdi Shams, Lecturer, Dept of CSE, KUET, Bangladesh 4

Count Function

Now we want to count the number of orders from "Customer Nilsen".

We use the following SQL statement:

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Count Function The COUNT(*) function returns the number of records in a

table:

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Count Function

which is the total number of rows in the table.

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Count Function The COUNT(DISTINCT column_name) function returns the

number of distinct values of the specified column:

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Count Function

which is the number of unique customers (Hansen, Nilsen, and Jensen) in the "Orders" table.

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Sum Function

Now we want to find the sum of all "OrderPrice" fields". We use the following SQL statement:

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Avg Function

Now we want to find the average value of the "OrderPrice" fields.

We use the following SQL statement:

Rushdi Shams, Lecturer, Dept of CSE, KUET, Bangladesh 11

Max Function

Now we want to find the largest value of the "OrderPrice" column.

We use the following SQL statement:

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Min Function

Now we want to find the smallest value of the "OrderPrice" column.

We use the following SQL statement:

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Group By Clause The GROUP BY statement is used in conjunction with the

aggregate functions to group the result-set by one or more columns.

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Group By Clause

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Now we want to find the total sum (total order) of each customer.

We will have to use the GROUP BY statement to group the customers.

We use the following SQL statement:

Group By Clause

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Group By Clause

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If we omit the group by clause from the statement-

Things to remember

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Having Clause The HAVING clause was added to SQL because the WHERE

keyword could not be used with aggregate functions.

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Having Clause

Now we want to find if any of the customers have a total order of less than 2000.

We use the following SQL statement:

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Having Clause

Now we want to find if the customers "Hansen" or "Jensen" have a total order of more than 1500.

We add an ordinary WHERE clause to the SQL statement:

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Things to remember A HAVING condition can refer only to an

expression in the SELECT list, or to an expression involving an aggregate function.

If you specify an expression in the HAVING clause that isn't in the SELECT list, or that isn't an aggregate expression, you will get an error.

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Reference World Wide Web Schools,

http://www.w3schools.com/sql/sql_functions.asp [05/04/2009]

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