- MySQL Basics
- MySQL - Home
- MySQL - Introduction
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- MySQL Tables
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- MySQL Queries
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- MySQL - Insert Query
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- MySQL - Insert Ignore
- MySQL - Insert on Duplicate Key Update
- MySQL - Insert Into Select
- MySQL Indexes
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- MySQL - Create Index
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- MySQL - Unique Index
- MySQL - Clustered Index
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- 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
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- 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
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- MySQL - Before Insert Trigger
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- MySQL - Before Update Trigger
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- MySQL - Before Delete Trigger
- MySQL - After Delete Trigger
- MySQL Data Types
- MySQL - Data Types
- MySQL - VARCHAR
- MySQL - BOOLEAN
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- MySQL - INT
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- 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
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- 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
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- MySQL - Wildcards
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- MySQL - ROLLUP
- MySQL - Today Date
- MySQL - Literals
- MySQL - Stored Procedure
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- 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 - VALUES Statement
MySQL VALUES Statement
The VALUES statement of MySQL is used to return a set of rows as a table, in short you can construct a table using this statement.
You can create an individual row by passing the values (separated by commas) to the ROW() constructor.
Syntax
Following is the syntax of the VALUES statement −
VALUES row_constructor_list [ORDER BY column_designator] [LIMIT BY number]
Example
Following query creates a table using the VALUES clause −
VALUES ROW(12,22, 53), ROW(25, 97, 69), ROW(45 ,69 , 68);
Output
Following is the Output of the above query −
column_0 | column_1 | column_2 |
---|---|---|
12 | 22 | 53 |
25 | 97 | 69 |
45 | 69 | 68 |
Using ORDER BY clause
If you create a table using the VALUES clause the name of the columns will always be as column_1, column2.... You can arrange the created rows in order based on the column name using the ORDER BY clause as shown below −
VALUES ROW(11, 2, 53), ROW(25, 97, 69), ROW(45, 80, 68) ORDER BY column_2;
Output
The above query produces the following output −
column_0 | column_1 | column_2 |
---|---|---|
11 | 2 | 53 |
25 | 97 | 68 |
45 | 80 | 69 |
Using the LIMIT clause
You can also limit the number of records in the result using the LIMIT clause as −
VALUES ROW(11, 2, 53), ROW(25, 97, 69), ROW(45, 80, 68) LIMIT 2;
Output
The above mysql query will generate the output shown below −
column_0 | column_1 | column_2 |
---|---|---|
11 | 2 | 53 |
25 | 97 | 69 |
Various types in one row
While creating tables using the VALUES clause you insert various types of values under a row −
VALUES Row ('Raju', 25, '25-09-2014'), Row (55, 447, 44), Row('test', 'sample', 'demo');
Output
Following is the output of the above query −
column_0 | column_1 | column_2 |
---|---|---|
Raju | 25 | 25-09-2014 |
55 | 447 | 44 |
test | sample | demo |
Using the UNION clause
You can also use the UNION clause to join two or more rows as shown below −
VALUES Row ('Raju', 25, '25-09-2014') UNION VALUES Row (55, 447, 44) UNION VALUES Row('test', 'sample', 'demo');
Output
The above query generates the following output −
column_0 | column_1 | column_2 |
---|---|---|
Raju | 25 | 25-09-2014 |
55 | 447 | 44 |
test | sample | demo |
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