
- 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 - Common Table Expression (WITH)
The MySQL Common Table Expression
The MySQL Common Table Expression (CTE) is a temporary result-set or table that exists for the duration of a single query. We can use the CTEs to reference the result-set within the context of a single SELECT, UPDATE, INSERT, DELETE, CREATE, VIEW, or MERGE statement.
The scope of a CTE is limited to that specific query. It makes complex queries simple by breaking them into simple blocks.
The MySQL WITH Clause
The MySQL WITH clause is used to create CTEs by having one or more comma-separated subclauses. The subclauses provide a subquery that generates the result-set.
WITH clause cannot be used in MySQL versions before 8.0.
Syntax
Following is the syntax of the MySQL WITH clause −
WITH name_for_summary_data AS (SELECT Statement) SELECT columns FROM name_for_summary_data WHERE conditions ( SELECT column FROM name_for_summary_data ) [ORDER BY columns]
Example
Assume we have created a table named DATA containing details such as id, name, age and salary −
CREATE TABLE DATA( ID INT, NAME CHAR(20), AGE INT, SALARY INT );
Now, let us insert values into the table created above using the INSERT INTO statement as shown below −
INSERT INTO DATA VALUES (101, 'John', 25, 55452), (102, 'Jane', 29, 66458), (103, 'Arub', 35, 36944);
In the following example, the WITH clause is used to create a CTE named CTE, which is then queried to retrieve the data from the DATA table −
WITH CTE AS (Select ID, NAME, AGE, SALARY FROM DATA) SELECT * FROM CTE;
After executing the above code, we get the output as follows −
ID | NAME | AGE | SALARY |
---|---|---|---|
101 | John | 25 | 55452 |
102 | Jane | 29 | 66458 |
103 | Arub | 35 | 36944 |
CTE from Multiple Tables
We can create CTEs from multiple tables by separating each CTE subclause using a comma (',').
Example
Suppose we have created a table with name EMPLOYEE and populated data into it as shown below −
CREATE TABLE EMPLOYEE( ID INT NOT NULL, FIRST_NAME CHAR(20) NOT NULL, LAST_NAME CHAR(20), AGE INT, SEX CHAR(1), INCOME FLOAT, CONTACT INT );
Here, we are inserting records into the EMPLOYEE table −
INSERT INTO EMPLOYEE VALUES (101, 'Serena', 'Williams', 27, 'F', 9000, 101), (102, 'Virat', 'Kohli', 20, 'M', 6000, 102);
The EMPLOYEE table obtained is as follows −
ID | FIRST_NAME | LAST_NAME | AGE | SEX | INCOME | CONTACT |
---|---|---|---|---|---|---|
101 | Serena | Williams | 27 | F | 9000 | 101 |
102 | Virat | Kohli | 20 | M | 6000 | 102 |
Now, we create another table CONTACT −
CREATE TABLE CONTACT( ID INT NOT NULL, EMAIL CHAR(20) NOT NULL, PHONE LONG, CITY CHAR(20) );
Let us insert some records in the CONTACT table −
INSERT INTO CONTACT (ID, EMAIL, CITY) VALUES (101, '[email protected]', 'Hyderabad'), (102, '[email protected]', 'Vishakhapatnam');
The CONTACT table produced is as follows −
ID | CITY | |
---|---|---|
101 | [email protected] | Hyderabad |
102 | [email protected] | Vishakhapatnam |
Following example uses Common Table Expressions (CTEs) named "exp1" and "exp2" to separately select specific columns from the EMPLOYEE and CONTACT tables. The final SELECT statement joins these CTEs, combining the chosen columns from each −
WITH exp1 AS (SELECT ID, FIRST_NAME, LAST_NAME FROM EMPLOYEE), exp2 AS (SELECT EMAIL, PHONE FROM CONTACT) SELECT * FROM exp1 JOIN exp2;
Following is the output of the above code −
ID | FIRST_NAME | LAST_NAME | PHONE | |
---|---|---|---|---|
102 | Virat | Kohli | [email protected] | NULL |
101 | Serena | Williams | [email protected] | NULL |
102 | Virat | Kohli | [email protected] | NULL |
101 | Serena | Williams | [email protected] | NULL |