- ChatGPT
SQL JOINs are used to combine rows from two or more tables based on a related column between them. Here’s an explanation of different types of SQL JOINs with Venn diagrams and examples:
1. INNER JOIN
Definition: An INNER JOIN
returns records that have matching values in both tables. It retrieves only the rows that satisfy the join condition.
Venn Diagram:
- A (left table) ∩ B (right table) = Intersection
Example:
Consider two tables:
Employees
ID | Name |
---|---|
1 | Alice |
2 | Bob |
3 | Charlie |
Departments
ID | EmployeeID | Department |
---|---|---|
1 | 1 | HR |
2 | 2 | IT |
3 | 4 | Finance |
Result:
Name | Department |
---|---|
Alice | HR |
Bob | IT |
2. LEFT OUTER JOIN
Definition: A LEFT OUTER JOIN
returns all records from the left table and the matched records from the right table. If there is no match, the result is NULL
on the side of the right table.
Venn Diagram:
- A (left table) ∪ (A ∩ B) = Left table plus the intersection
3. RIGHT OUTER JOIN
Definition: A RIGHT OUTER JOIN
returns all records from the right table and the matched records from the left table. If there is no match, the result is NULL
on the side of the left table.
Venn Diagram:
- B (right table) ∪ (A ∩ B) = Right table plus the intersection
4. FULL OUTER JOIN
Definition: A FULL OUTER JOIN
returns all records when there is a match in either left or right table. It combines the results of both LEFT OUTER JOIN
and RIGHT OUTER JOIN
.
Venn Diagram:
- A (left table) ∪ B (right table) = Union of both tables
Example:
SQL Query:
Summary
- INNER JOIN: Retrieves only the rows with matching values in both tables (intersection).
- LEFT OUTER JOIN: Retrieves all rows from the left table and matching rows from the right table (left table plus intersection).
- RIGHT OUTER JOIN: Retrieves all rows from the right table and matching rows from the left table (right table plus intersection).
- FULL OUTER JOIN: Retrieves all rows from both tables, with
NULL
where there are no matches (union of both tables).
- The SQL JOIN clause is used whenever we have to select data from 2 or more tables.
There are 2 types of SQL JOINS – INNER JOINS and OUTER JOINS.
The INNER JOIN will select all rows from both tables as long as there is a match between the columns we are matching on.
SQL OUTER JOIN and it has 2 sub-types called LEFT OUTER JOIN and RIGHT OUTER JOIN.
The LEFT OUTER JOIN or simply LEFT JOIN (you can omit the OUTER keyword in most databases),
selects all the rows from the first table listed after the FROM clause, no matter if they have matches in the second table.
The RIGHT OUTER JOIN or just RIGHT JOIN behaves exactly as SQL LEFT JOIN, except that it returns all rows from the second table (the right table in our SQL JOIN statement).
References:
http://www.sql-tutorial.net/SQL-JOIN.asp
http://www.quackit.com/sql/tutorial/sql_outer_join.cfm
http://www.tizag.com/sqlTutorial/sqljoin.php
http://www.sqltutorial.org/sqljoin-innerjoin.aspx
- INNER JOIN
SELECT Customers.*, Orders.* FROM Customers INNER JOIN Orders ON Customers.CustomerID =Orders.CustomerID
There is another way to visualize the SQL INNER JOIN by using the Venn diagrams
- LEFT OUTER JOIN
SELECT Customers.*, Orders.* FROM Customers LEFT OUTER JOIN Orders ON Customers.CustomerID =Orders.CustomerID
There is another way to visualize the SQL INNER JOIN by using the Venn diagrams
- RIGHT OUTER JOIN
SELECT Customers.*, Orders.* FROM Customers RIGHT OUTER JOIN Orders ON Customers.CustomerID =Orders.CustomerID
There is another way to visualize the SQL INNER JOIN by using the Venn diagrams
- FULL OUTER JOIN
There is another way to visualize the SQL INNER JOIN by using the Venn diagrams
- JOIN SCHEMA
- Using Cross Joins
- Cross join
CROSS JOIN returns the Cartesian product of rows from tables in the join. In other words, it will produce rows which combine each row from the first table with each row from the second table
CREATE TABLE department
(
DepartmentID INT,
DepartmentName VARCHAR(20)
);
CREATE TABLE employee
(
LastName VARCHAR(20),
DepartmentID INT
);
INSERT INTO department(DepartmentID, DepartmentName) VALUES(31, 'Sales');
INSERT INTO department(DepartmentID, DepartmentName) VALUES(33, 'Engineering');
INSERT INTO department(DepartmentID, DepartmentName) VALUES(34, 'Clerical');
INSERT INTO department(DepartmentID, DepartmentName) VALUES(35, 'Marketing');
INSERT INTO employee(LastName, DepartmentID) VALUES('Rafferty', 31);
INSERT INTO employee(LastName, DepartmentID) VALUES('Jones', 33);
INSERT INTO employee(LastName, DepartmentID) VALUES('Steinberg', 33);
INSERT INTO employee(LastName, DepartmentID) VALUES('Robinson', 34);
INSERT INTO employee(LastName, DepartmentID) VALUES('Smith', 34);
INSERT INTO employee(LastName, DepartmentID) VALUES('John', NULL);
Example of an explicit cross join:
SELECT *
FROM employee
CROSS JOIN department;
Example of an implicit cross join:
SELECT *
FROM employee, department;
Inner join
SELECT *
FROM employee
INNER JOIN department ON employee.DepartmentID = department.DepartmentID;
The following example is equivalent to the previous one, but this time using implicit join notation:
SELECT *
FROM employee, department
WHERE employee.DepartmentID = department.DepartmentID;
Left outer join
SELECT *
FROM employee
LEFT OUTER JOIN department ON employee.DepartmentID = department.DepartmentID;
Right outer join
SELECT *
FROM employee
RIGHT OUTER JOIN department ON employee.DepartmentID = department.DepartmentID;
Full outer join
SELECT *
FROM employee
FULL OUTER JOIN department ON employee.DepartmentID = department.DepartmentID;
Self-join
A self-join is joining a table to itself
SELECT F.EmployeeID, F.LastName, S.EmployeeID, S.LastName, F.Country
FROM Employee F
INNER JOIN Employee S ON F.Country = S.Country
WHERE F.EmployeeID < S.EmployeeID
ORDER BY F.EmployeeID, S.EmployeeID;
http://en.wikipedia.org/wiki/Join_%28SQL%29
- JOIN Three Tables
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