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SQL SUM() function

SUM() function

The SQL AGGREGATE SUM() function returns the SUM of all selected column.

Syntax:

SUM ([ALL | DISTINCT] expression )

DBMS Support : SUM() function

DBMS Command
MySQL Supported
PostgreSQL Supported
SQL Server Supported
Oracle Supported

DB2 and Oracle Syntax :

 SUM ([ALL | DISTINCT] expression ) OVER (window_clause)

Parameters:

Name Description
ALL Applies to all values.
DISTINCT Return the SUM of unique values.
expression Expression made up of a single constant, variable, scalar function, or column name. The expression is an expression of the exact numeric or approximate numeric data type category, except for the bit data type. Aggregate functions and subqueries are not permitted.

Syntax diagram - SUM() function

Syntax diagram - SUM Function

SQL SUM() on specific column example

To get the total SUM of 'advance_amount' of the 'orders' table, the following SQL statement can be used :

Sample table: orders


SQL Code:

SELECT SUM(advance_amount) 
FROM orders;

Relational Algebra Expression:

Relational Algebra Expression: SQL SUM() on specific column example.

Relational Algebra Tree:

Relational Algebra Tree: SQL SUM() on specific column example.

Output:

SUM(ADVANCE_AMOUNT)
-------------------
              19450

Pictorial Presentation:

SQL SUM() function example

SQL SUM() using multiple columns example

To get the sum of 'opening_amt' and 'receive_amt' from the 'customer' table, the following SQL statement can be used:

Sample table: customer


SQL Code:

SELECT SUM (opening_amt + receive_amt) 
FROM customer;

Relational Algebra Expression:

Relational Algebra Expression: SQL SUM() using multiple columns example.

Relational Algebra Tree:

Relational Algebra Tree: SQL SUM() using multiple columns example.

Output:

SUM(OPENING_AMT+RECEIVE_AMT)
----------------------------
                      353000

SQL SUM() with where

In the following example, we have discussed usage of WHERE clause along with the SQL SUM() function to sum one or more columns against one or more conditions.

Example:

To get the total SUM of 'advance_amount' of the 'orders' table with the following condition -

1. 'agent_code' must be 'A003',

the following SQL statement can be used :

Sample table: orders


SQL Code:

SELECT SUM (advance_amount) 
FROM orders 
WHERE agent_code = 'A003';

Relational Algebra Expression:

Relational Algebra Expression: SQL SUM() with where.

Relational Algebra Tree:

Relational Algebra Tree: SQL SUM() with where.

Output:

SUM(ADVANCE_AMOUNT)
-------------------
               1000

SQL SUM() with COUNT()

In the following example, we have discussed the usage of SQL SUM() and SQL COUNT() together in a SQL SELECT statement. Regarding this, it should be mentioned that the SQL SUM() and SQL COUNT() both returns a single row.

Example:

To get data of 'cust_country',SUM of 'opening_amt' for each 'cust_country' and number of 'cust_country' from the 'customer' table with the following condition -

1. data should be a group on 'cust_country',

the following SQL statement can be used :

Sample table: customer


SQL Code:

SELECT cust_country, SUM(opening_amt), 
COUNT(cust_country) 
FROM customer 
GROUP BY cust_country;

Relational Algebra Expression:

Relational Algebra Expression: SQL SUM() with COUNT().

Relational Algebra Tree:

Relational Algebra Tree: SQL SUM() with COUNT().

Output:

CUST_COUNTRY         SUM(OPENING_AMT) COUNT(CUST_COUNTRY)
-------------------- ---------------- -------------------
USA                             18000                   4
India                           73000                  10
Australia                       19000                   3
Canada                          25000                   3
UK                              26000                   5

Note: Outputs of the said SQL statement shown here is taken by using Oracle Database 10g Express Edition

Here is a slide presentation of all aggregate functions.

Practice SQL Exercises

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Next: SUM using GROUP BY



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SQL: Tips of the Day

Difference between primary key and unique key:

Primary Key:

  • There can only be one primary key constraint in a table
  • In some DBMS it cannot be NULL - e.g. MySQL adds NOT NULL
  • Primary Key is a unique key identifier of the record

Unique Key:

  • Can be more than one unique key in one table
  • Unique key can have NULL values
  • It can be a candidate key
  • Unique key can be NULL ; multiple rows can have NULL values and therefore may not be considered "unique"

Ref : https://bit.ly/2XNgBd0