- Introduction To SQL
- SQL Syntax
- SQL SELECT Statement
- SQL SELECT DISTINCT Statement
- SQL WHERE Clause
- SQL AND, OR And NOT Operators
- SQL ORDER BY Keyword
- SQL INSERT INTO Statement
- SQL NULL Values
- SQL UPDATE Statement
- SQL DELETE Statement
- SQL TOP, LIMIT, FETCH FIRST Or ROWNUM Clause
- SQL MIN() And MAX() Functions
- SQL COUNT(), AVG() And SUM() Functions
- SQL LIKE Operator
- SQL Wildcards
- SQL IN Operator
- SQL BETWEEN Operator
- SQL Aliases
- SQL Joins
- SQL INNER JOIN Keyword
- SQL LEFT JOIN Keyword
- SQL RIGHT JOIN Keyword
- SQL FULL OUTER JOIN Keyword
- SQL Self Join
- SQL UNION Operator
- SQL GROUP BY Statement
- SQL HAVING Clause
- SQL EXISTS Operator
- SQL ANY And ALL Operators
- SQL SELECT INTO Statement
- SQL INSERT INTO SELECT Statement
- SQL CASE Statement
- SQL NULL Functions
- SQL Stored Procedures For SQL Server
- SQL Comments
- SQL Operators
- SQL CREATE DATABASE Statement
- SQL DROP DATABASE Statement
- SQL BACKUP DATABASE For SQL Server
- SQL CREATE TABLE Statement
- SQL DROP TABLE Statement
- SQL ALTER TABLE Statement
- SQL Constraints
- SQL NOT NULL Constraint
- SQL UNIQUE Constraint
- SQL PRIMARY KEY Constraint
- SQL FOREIGN KEY Constraint
- ALTER TABLE Orders DROP CONSTRAINT FK_PersonOrder;
- SQL DEFAULT Constraint
- SQL CREATE INDEX Statement
- SQL AUTO INCREMENT Field
- SQL Working With Dates
- SQL Views
- SQL Injection
- SQL Hosting
- SQL Data Types For MySQL, SQL Server, And MS Access
SQL Joins
SQL JOIN
A JOIN
clause is used to combine rows from two or more tables, based on a related column between them.
Let's look at a selection from the "Orders" table:
OrderID | CustomerID | OrderDate |
---|---|---|
10308 | 2 | 1996-09-18 |
10309 | 37 | 1996-09-19 |
10310 | 77 | 1996-09-20 |
Then, look at a selection from the "Customers" table:
CustomerID | CustomerName | ContactName | Country |
---|---|---|---|
1 | Alfreds Futterkiste | Maria Anders | Germany |
2 | Ana Trujillo Emparedados y helados | Ana Trujillo | Mexico |
3 | Antonio Moreno Taquería | Antonio Moreno | Mexico |
Notice that the "CustomerID" column in the "Orders" table refers to the "CustomerID" in the "Customers" table. The relationship between the two tables above is the "CustomerID" column.
Then, we can create the following SQL statement (that contains an INNER JOIN
), that selects records that have matching values in both tables:
Example
FROM Orders
INNER JOIN Customers ON Orders.CustomerID=Customers.CustomerID;
and it will produce something like this:
OrderID | CustomerName | OrderDate |
---|---|---|
10308 | Ana Trujillo Emparedados y helados | 9/18/1996 |
10365 | Antonio Moreno Taquería | 11/27/1996 |
10383 | Around the Horn | 12/16/1996 |
10355 | Around the Horn | 11/15/1996 |
10278 | Berglunds snabbköp | 8/12/1996 |
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Different Types Of SQL JOINs
Here are the different types of the JOINs in SQL:
(INNER) JOIN
: Returns records that have matching values in both tablesLEFT (OUTER) JOIN
: Returns all records from the left table, and the matched records from the right tableRIGHT (OUTER) JOIN
: Returns all records from the right table, and the matched records from the left tableFULL (OUTER) JOIN
: Returns all records when there is a match in either left or right table
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