SQL Joins

The SQL Joins are used to combine the data from two or more tables on the basis of some related columns of each.

Suppose, we want to join Peoples Table and Product Table to learn about the regional manager of each state. Let’s have a look at both the tables.

 

Demo Table –

Product Table

Category Region City Country Customer_ID Customer_name
Office Supplies Central Chicago United States SM-20950 Suzanne McNair
Technology East New York City United States AH-10465 Amy Hunt
Office Supplies East New York City United States AH-10465 Amy Hunt
Office Supplies East Dover United States EP-13915 Emily Phan
Office Supplies East Dover United States EP-13915 Emily Phan
Technology West Aurora United States TP-21565 Tracy Poddar
Office Supplies West Aurora United States TP-21565 Tracy Poddar
Office Supplies East Long Beach United States AR-10825 Anthony Rawles
Office Supplies West Pasadena United States HA-14920 Helen Andreada
Furniture West Pasadena United States HA-14920 Helen Andreada

Manager Table

Region Regional Manager
West Sadie Pawthorne
East Chuck Magee
Central Roxanne Rodriguez
South Fred Suzuki

As in both the tables, we have a “Region” in the same column. This field can help to join both the table. There can be multiple joins in a single statement.

The joins are performed in the WHERE Clause. We can use different operators such as =, <, >, <>, <=, >=, !=, BETWEEN, etc. to join the table, but the most commonly used operator is “=”.

  • Types of Joins

These are different types of joins available in SQL.

1. Inner Join – It returns the records that are matching in both tables.

2. Full Outer Join or Full Join – It returns all the records when there is a match in either of the tables.

3. Left Outer Join or Left Join – It returns all the records from only the table situated to the Left.

4. Right Outer Join or Right Join – It returns all the records from only the table situated to the Right.

5. Self Join – This join is used when the table has a join to itself.

6. Cross Join – This join returns the records by having a Cartesian product of records from the joined tables.

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