- SQL Tutorial
- SQL - Home
- SQL - Overview
- SQL - RDBMS Concepts
- SQL - Databases
- SQL - Syntax
- SQL - Data Types
- SQL - Operators
- SQL - Expressions
- SQL Database
- SQL - Create Database
- SQL - Drop Database
- SQL - Select Database
- SQL - Rename Database
- SQL - Show Databases
- SQL - Backup Database
- SQL Table
- SQL - Create Table
- SQL - Show Tables
- SQL - Rename Table
- SQL - Truncate Table
- SQL - Clone Tables
- SQL - Temporary Tables
- SQL - Alter Tables
- SQL - Drop Table
- SQL - Delete Table
- SQL - Constraints
- SQL Queries
- SQL - Insert Query
- SQL - Select Query
- SQL - Select Into
- SQL - Insert Into Select
- SQL - Update Query
- SQL - Delete Query
- SQL - Sorting Results
- SQL Views
- SQL - Create Views
- SQL - Update Views
- SQL - Drop Views
- SQL - Rename Views
- SQL Operators and Clauses
- SQL - Where Clause
- SQL - Top Clause
- SQL - Distinct Clause
- SQL - Order By Clause
- SQL - Group By Clause
- SQL - Having Clause
- SQL - AND & OR
- SQL - BOOLEAN (BIT) Operator
- SQL - LIKE Operator
- SQL - IN Operator
- SQL - ANY, ALL Operators
- SQL - EXISTS Operator
- SQL - CASE
- SQL - NOT Operator
- SQL - NOT EQUAL
- SQL - IS NULL
- SQL - IS NOT NULL
- SQL - NOT NULL
- SQL - BETWEEN Operator
- SQL - UNION Operator
- SQL - UNION vs UNION ALL
- SQL - INTERSECT Operator
- SQL - EXCEPT Operator
- SQL - Aliases
- SQL Joins
- SQL - Using Joins
- SQL - Inner Join
- SQL - Left Join
- SQL - Right Join
- SQL - Cross Join
- SQL - Full Join
- SQL - Self Join
- SQL - Delete Join
- SQL - Update Join
- SQL - Left Join vs Right Join
- SQL - Union vs Join
- SQL Keys
- SQL - Unique Key
- SQL - Primary Key
- SQL - Foreign Key
- SQL - Composite Key
- SQL - Alternate Key
- SQL Indexes
- SQL - Indexes
- SQL - Create Index
- SQL - Drop Index
- SQL - Show Indexes
- SQL - Unique Index
- SQL - Clustered Index
- SQL - Non-Clustered Index
- Advanced SQL
- SQL - Wildcards
- SQL - Comments
- SQL - Injection
- SQL - Hosting
- SQL - Min & Max
- SQL - Null Functions
- SQL - Check Constraint
- SQL - Default Constraint
- SQL - Stored Procedures
- SQL - NULL Values
- SQL - Transactions
- SQL - Sub Queries
- SQL - Handling Duplicates
- SQL - Using Sequences
- SQL - Auto Increment
- SQL - Date & Time
- SQL - Cursors
- SQL - Common Table Expression
- SQL - Group By vs Order By
- SQL - IN vs EXISTS
- SQL - Database Tuning
- SQL Function Reference
- SQL - Date Functions
- SQL - String Functions
- SQL - Aggregate Functions
- SQL - Numeric Functions
- SQL - Text & Image Functions
- SQL - Statistical Functions
- SQL - Logical Functions
- SQL - Cursor Functions
- SQL - JSON Functions
- SQL - Conversion Functions
- SQL - Datatype Functions
- SQL Useful Resources
- SQL - Questions and Answers
- SQL - Quick Guide
- SQL - Useful Functions
- SQL - Useful Resources
- SQL - Discussion
SQL - DATELENGTH() Function
The SQL DATELENGTH() function returns the number of bytes used to represent any expression and also counts the leading and trailing spaces of the expression. This function may return a bigint or an int as a data type.
If the expression has an nvarchar(max), varbinary(max), or varchar(max) data type, this function returns bigint; otherwise, it returns int.
This function is very helpful when used with data types it can store variable length data such-as
- image
- ntext
- nvarchar
- text
- varbinary
- varchar
Syntax
following is the syntax of the SQL DATALENGTH() function −
SELECT DATALENGTH(expression);
expression − it takes the data types that we need to return the length for. If the expression is null, it returns null.
Example
In the following example, we are demonstrating the use of DATALENGTH() function by passing the simple expression.
Following is the query to find the length of given name −
SELECT DATALENGTH('Aman kumar') AS lengthOf_Name;
Output
Following is the output of the above query −
+----------------+ | lengthOf_Name | +----------------+ | 10 | +----------------+
The following example returns the bytes of the used data types. This demonstrates how much data is required to represent the same value using different data types.
following is the query −
DECLARE @var_int int = 1 DECLARE @var_smallint smallint = 1 DECLARE @var_decimal decimal = 1 DECLARE @var_bigint bigint = 1 SELECT 'int' datatype, DATALENGTH(@var_int) bytes UNION SELECT 'smallint' datatype, DATALENGTH(@var_smallint) bytes UNION SELECT 'decimal' datatype, DATALENGTH(@var_decimal) bytes UNION SELECT 'bigint' datatype, DATALENGTH(@var_bigint) bytes
Output
Following is the output of the above query −
+----------+--------+ | datatype | bytes | +----------+--------+ | bigint | 8 | +----------+--------+ | decimal | 5 | +----------+--------+ | int | 4 | +----------+--------+ | smallint | 2 | +----------+--------+
Example
In the following example, we are passing a date and a word with some spaces inside the DATALENGTH() function to count the bytes of the given expression.
Following is the SQL query −
SELECT DATALENGTH(' tutorialspoint.com ') AS word_len, DATALENGTH('2023-02-01') AS date_len;
Output
following is the output of the above query −
+----------+----------+ | word_len | date_len | +----------+----------+ | 20 | 10 | +----------+----------+
Example
In the following example, we are calculating the number of bytes in the salary and address columns of the customers table.
Let's create the customer table using the CREATE statement.−
CREATE TABLE customers( ID INT NOT NULL, NAME VARCHAR(30) NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(30), SALARY DECIMAL(18, 2));
The table stores the ID, NAME, AGE, ADDRESS, and SALARY. Now we are inserting the 7 records in the customers table using the INSERT statement.
INSERT INTO customers VALUES(1, 'Ramesh', 32, 'Ahmedabad', 2000.00); INSERT INTO customers VALUES(2, 'Khilan', 25, 'Delhi', 1500.00); INSERT INTO customers VALUES(3, 'kaushik', 23, 'Kota', 2000.00); INSERT INTO customers VALUES(4, 'Chaitali', 25, 'Mumbai', 6500.00); INSERT INTO customers VALUES(5, 'Hardik', 27, 'Bhopal', 8500.00); INSERT INTO customers VALUES(6, 'Komal', 22, 'MP', 4500.00); INSERT INTO customers VALUES(7, 'Aman', 23, 'Ranchi', null);
Let's display the customers table using the SELECT statement.
SELECT * FROM customers;
Following is the customers table −
+----+----------+-----+-----------+---------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+---------+ | 1 | Ramesh | 32 | Ahmedabad | 2000.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 4 | Chaitali | 25 | Mumbai | 6500.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 6 | Komal | 22 | MP | 4500.00 | | 7 | Aman | 23 | Ranchi | NULL | +----+----------+-----+-----------+---------+
Following query display the bytes of the particular column −
SELECT DATALENGTH(ADDRESS) AS Address_Bytes, DATALENGTH(SALARY) AS Salary_Bytes FROM customers;
Output
following is the output of the above query −
+---------------+--------------+ | Address_Bytes | Salary_Bytes | +---------------+--------------+ | 30 | 5 | | 30 | 5 | | 30 | 5 | | 30 | 5 | | 30 | 5 | | 30 | 5 | | 30 | 5 | +---------------+--------------+