- Introduction To SQL
- RDBMS
- Data Integrity and Normalization
- Function in SQL
- SQL Syntax
- Data Types
- Operators
- SQL Expressions
- Database
- Tables
- Query
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Select Query
- Update query
- Delete Query
- Distinct Keyword
- Sorting
- Null Values
- Alias Syntax
- Drop a Table
- Alter Table
- Truncate Command
- Clauses
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- Like Clause
- Top Clause
- Order By Clause
- Group By Clause
- Except Clause
- Intersect Clause
- Union Clause
- Union All Clause
- Having Clause
- SQL Constraints
- Joins
- Indexes
- Views
- Transactions
- Date Functions
- Sequences
- Sub Queries
- Handling Duplicates
- SQL Injection
- Stored Procedure
- Triggers
Inner Join
How To Use Inner Join In SQL
Introduction:
In this article, you will learn what Inner Join is and how to use Inner Join in SQL.
Inner join is used to collect the common data from the database tables. This is the most basic join of SQL. It generates the output in a new table and it compares all the tables to each other.
Here, we have two tables-
Employee Table
Query Table
Now, we collect same records in both the tables, according to our condition.
Syntax
The syntax of Inner Join is as follows:
select table1.column1.., table2.column2... from table1 inner join table2 on table1.common_field = table2.common_field;
Example
Step 1: We write our query for Inner Join.
Now, select and execute this query.
Step 2: The output of this query is:
Summary:
Thus, we learned, an inner join is used to collect the common data in the database tables and its use in SQL.