- MySQL Basics
- MySQL - Home
- MySQL - Introduction
- MySQL - Features
- MySQL - Versions
- MySQL - Variables
- MySQL - Installation
- MySQL - Administration
- MySQL - PHP Syntax
- MySQL - Node.js Syntax
- MySQL - Java Syntax
- MySQL - Python Syntax
- MySQL - Connection
- MySQL - Workbench
- MySQL Databases
- MySQL - Create Database
- MySQL - Drop Database
- MySQL - Select Database
- MySQL - Show Database
- MySQL - Copy Database
- MySQL - Database Export
- MySQL - Database Import
- MySQL - Database Info
- MySQL Users
- MySQL - Create Users
- MySQL - Drop Users
- MySQL - Show Users
- MySQL - Change Password
- MySQL - Grant Privileges
- MySQL - Show Privileges
- MySQL - Revoke Privileges
- MySQL - Lock User Account
- MySQL - Unlock User Account
- MySQL Tables
- MySQL - Create Tables
- MySQL - Show Tables
- MySQL - Alter Tables
- MySQL - Rename Tables
- MySQL - Clone Tables
- MySQL - Truncate Tables
- MySQL - Temporary Tables
- MySQL - Repair Tables
- MySQL - Describe Tables
- MySQL - Add/Delete Columns
- MySQL - Show Columns
- MySQL - Rename Columns
- MySQL - Table Locking
- MySQL - Drop Tables
- MySQL - Derived Tables
- MySQL Queries
- MySQL - Queries
- MySQL - Constraints
- MySQL - Insert Query
- MySQL - Select Query
- MySQL - Update Query
- MySQL - Delete Query
- MySQL - Replace Query
- MySQL - Insert Ignore
- MySQL - Insert on Duplicate Key Update
- MySQL - Insert Into Select
- MySQL Indexes
- MySQL - Indexes
- MySQL - Create Index
- MySQL - Drop Index
- MySQL - Show Indexes
- MySQL - Unique Index
- MySQL - Clustered Index
- MySQL - Non-Clustered Index
- MySQL Operators and Clauses
- MySQL - Where Clause
- MySQL - Limit Clause
- MySQL - Distinct Clause
- MySQL - Order By Clause
- MySQL - Group By Clause
- MySQL - Having Clause
- MySQL - AND Operator
- MySQL - OR Operator
- MySQL - Like Operator
- MySQL - IN Operator
- MySQL - ANY Operator
- MySQL - EXISTS Operator
- MySQL - NOT Operator
- MySQL - NOT EQUAL Operator
- MySQL - IS NULL Operator
- MySQL - IS NOT NULL Operator
- MySQL - Between Operator
- MySQL - UNION Operator
- MySQL - UNION vs UNION ALL
- MySQL - MINUS Operator
- MySQL - INTERSECT Operator
- MySQL - INTERVAL Operator
- MySQL Joins
- MySQL - Using Joins
- MySQL - Inner Join
- MySQL - Left Join
- MySQL - Right Join
- MySQL - Cross Join
- MySQL - Full Join
- MySQL - Self Join
- MySQL - Delete Join
- MySQL - Update Join
- MySQL - Union vs Join
- MySQL Keys
- MySQL - Unique Key
- MySQL - Primary Key
- MySQL - Foreign Key
- MySQL - Composite Key
- MySQL - Alternate Key
- MySQL Triggers
- MySQL - Triggers
- MySQL - Create Trigger
- MySQL - Show Trigger
- MySQL - Drop Trigger
- MySQL - Before Insert Trigger
- MySQL - After Insert Trigger
- MySQL - Before Update Trigger
- MySQL - After Update Trigger
- MySQL - Before Delete Trigger
- MySQL - After Delete Trigger
- MySQL Data Types
- MySQL - Data Types
- MySQL - VARCHAR
- MySQL - BOOLEAN
- MySQL - ENUM
- MySQL - DECIMAL
- MySQL - INT
- MySQL - FLOAT
- MySQL - BIT
- MySQL - TINYINT
- MySQL - BLOB
- MySQL - SET
- MySQL Regular Expressions
- MySQL - Regular Expressions
- MySQL - RLIKE Operator
- MySQL - NOT LIKE Operator
- MySQL - NOT REGEXP Operator
- MySQL - regexp_instr() Function
- MySQL - regexp_like() Function
- MySQL - regexp_replace() Function
- MySQL - regexp_substr() Function
- MySQL Fulltext Search
- MySQL - Fulltext Search
- MySQL - Natural Language Fulltext Search
- MySQL - Boolean Fulltext Search
- MySQL - Query Expansion Fulltext Search
- MySQL - ngram Fulltext Parser
- MySQL Functions & Operators
- MySQL - Date and Time Functions
- MySQL - Arithmetic Operators
- MySQL - Numeric Functions
- MySQL - String Functions
- MySQL - Aggregate Functions
- MySQL Misc Concepts
- MySQL - NULL Values
- MySQL - Transactions
- MySQL - Using Sequences
- MySQL - Handling Duplicates
- MySQL - SQL Injection
- MySQL - SubQuery
- MySQL - Comments
- MySQL - Check Constraints
- MySQL - Storage Engines
- MySQL - Export Table into CSV File
- MySQL - Import CSV File into Database
- MySQL - UUID
- MySQL - Common Table Expressions
- MySQL - On Delete Cascade
- MySQL - Upsert
- MySQL - Horizontal Partitioning
- MySQL - Vertical Partitioning
- MySQL - Cursor
- MySQL - Stored Functions
- MySQL - Signal
- MySQL - Resignal
- MySQL - Character Set
- MySQL - Collation
- MySQL - Wildcards
- MySQL - Alias
- MySQL - ROLLUP
- MySQL - Today Date
- MySQL - Literals
- MySQL - Stored Procedure
- MySQL - Explain
- MySQL - JSON
- MySQL - Standard Deviation
- MySQL - Find Duplicate Records
- MySQL - Delete Duplicate Records
- MySQL - Select Random Records
- MySQL - Show Processlist
- MySQL - Change Column Type
- MySQL - Reset Auto-Increment
- MySQL - Coalesce() Function
MySQL - TO_BASE64() Function
The MySQL TO_BASE64() function is used to encode a string to a base-64 encoded string. Base-64 encoding is a way of representing binary data in ASCII text format by converting 3 bytes of binary data into 4 bytes of text data.
Below are the rules followed by MySQL TO_BASE64() function −
- Encoding for alphabet value 62 is '+'.
- The encoding for alphabet value 63 is '/'.
- The encoded output will be a group of 4 characters. If the last group is incomplete, it will be padded up with the "=" character.
- It adds a new line after every 76 characters of encoded output to split the long output value into multiple lines.
- Decoding recognizes and ignores tabs, carriage returns, newlines, and spaces.
Syntax
Following is the syntax of MySQL TO_BASE64() function −
TO_BASE64(str)
Parameters
This function takes a string value as a parameter.
Return Value
This function returns the base64-encoded representation of the given string.
Example
In the following example, the string 'Tutorialspoint' is encoded into its base64 representation −
SELECT TO_BASE64('Tutorialspoint');
Following is the output of the above code −
TO_BASE64('Tutorialspoint') |
---|
VHV0b3JpYWxzcG9pbnQ= |
Example
Here is another example, where we encode a shorter Base64 string −
SELECT TO_BASE64('test');
The output obtained is as follows −
TO_BASE64('test') |
---|
dGVzdA== |
Example
You can also use the TO_BASE64() and FROM_BASE64() functions together to first encode and then decode a string back to its original form −
SELECT TO_BASE64('Hello how are you'), FROM_BASE64(TO_BASE64('Hello how are you'));
We get the output as follows −
TO_BASE64('Hello how are you') | FROM_BASE64(TO_BASE64('Hello how are you')) |
---|---|
SGVsbG8gaG93IGFyZSB5b3U= | 0x48656C6C6F20686F772061726520796F75 |
If you disable the --binary-as-hex value, the result of the above query will be as follows &mnus;
SELECT TO_BASE64('Hello how are you'), FROM_BASE64(TO_BASE64('Hello how are you'));
Following is the output of the above code −
TO_BASE64('Hello how are you') | FROM_BASE64(TO_BASE64('Hello how are you')) |
---|---|
SGVsbG8gaG93IGFyZSB5b3U= | Hello how are you |
Example
You can also pass a column name of a table as a parameter to this function and encode the values in it.
Let us create a table named "DATA" and insert records into it using CREATE and INSERT statements as shown below −
CREATE TABLE DATA ( Name VARCHAR(15), UserID INT, Val VARCHAR(50) );
Now, let us insert records into it using the INSERT statement −
INSERT INTO DATA VALUES ('Raju', 1001, 'Key1abc123'), ('Rahman', 1002, 'Key2abc'), ('Robert', 1002, 'key3');
The DATA obtained is as follows −
Name | UserID | Val |
---|---|---|
Raju | 1001 | Key1abc123 |
Rahman | 1002 | Key2abc |
Robert | 1002 | key3 |
Following query encodes the values of the column 'Val' into a Base64 string −
SELECT Name, UserID, Val, TO_BASE64(Val) FROM DATA;
After executing the above code, we get the following output −
Name | UserID | Val | TO_BASE64(Val) |
---|---|---|---|
Raju | 1001 | Key1abc123 | S2V5MWFiYzEyMw== |
Rahman | 1002 | Key2abc | S2V5MWFiYzEyMw== |
Robert | 1002 | key3 | a2V5Mw== |
To Continue Learning Please Login
Login with Google