- 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
Full Join
How To Use Full Join In SQL
Introduction:
In this article, you will learn, what Full Join is and how to use Full Join in SQL.
Full Join returns all the data from both the tables. If our condition does not match any row, it represents the null value. Full Join is known as Full Outer Join.
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 Full Join is as follows.
select table1.column1, table2.column2... from table1 full join table2 on table1.common_field = table2.common_field;
Example
Step 1: We write our query for Full Join.
Now, select and execute this query.
Step 2: The output of this query is:
Summary:
Thus, we learned, full join shows all the data from each table and its use.