In my previous articles I have given idea about different types of Joins with examples. In this article I would like to give you idea about the SQL left join multiple tables with its examples. The main use of SQL left join multiple tables is to connect to multiple tables to achieve specific set of data. These kind of sql joins are useful in reporting as well as database development to achieve specific functionality. In this article I would like to give you simple to complex examples of Sql left join multiple tables which are used in industry.
Before going to detailed examples of left join I would like to give you idea about left join.
When user wants to retrieve all the records from left table and common records from both table together then left join is used.
Syntax :
Type 1: With using (+) Symbol
Select t1.column1,t2.column2….t ‘n’column ‘n.’.
from table1 t1,table2 t2
where t1.column=t2.column(+);
Type 2: With using Left Outer join keyword
Select t1.column1,t2.column2….t ‘n’column ‘n.’.
from table1 t1 Left Outer join table2 t2
on t1.column=t2.column;
Simple Example of Left Join :
In this section we will check very simple example of left join before checking example of sql left join multiple tables in detail. Kindly check following 2 tables.
Employee Table :
Employee Id | Employee Name | Department Id |
1 | Amit | 233 |
2 | Saideepti | 233 |
3 | Purna | 244 |
4 | Rahul | 245 |
Department Table :
Department ID | Department Name |
233 | Business Intelligence |
234 | Development |
244 | Application support |
235 | Database support |
Problem Statement :
Need to fetch data for Employees with Associated departments. If Department is not associated then that should display as null.
Query :
Select A.Employee_name,B.Department_name from
Employee A,Departemnt B
Where A.Department_id =B.Department_Id (+);
Output :
Employee Name | Department Name |
Amit | Business Intelligence |
Saideepti | Business Intelligence |
Purna | Application support |
Rahul |
For Employee named Rahul the condition is not matching. So the department is showing blank.
In this section we will look one complex SQL left join multiple tables example. The first question in users mind is why we require sql left join multiple tables and purpose of it. There are following situations where we require SQL left join multiple tables.
1.Creating Reports
The Sql joins with multiple tables are more required to fetch the useful business data. This data is useful for creating different BI reports.
2.PL SQL Development
In PL SQL development where user requires to fetch data from multiple tables.
3.Solve Business requirement from database side
To resolve any business requirement from database side SQL joins with multiple tables are used.
4.Dashboard creation
SQL left join multiple tables are used to create interactive dashboards using SQL Queries.
5.Performance Tuning
SQL Left join is faster than the Inline view. So SQL left joins are used to improve performance of application.
Example :
You can refer same 2 tables with following additional table for fetching data in 3 tables.
Employee Table :
Employee Id | Employee Name | Department Id |
1 | Amit | 233 |
2 | Saideepti | 233 |
3 | Purna | 244 |
4 | Rahul | 245 |
Department Table :
Department ID | Department Name |
233 | Business Intelligence |
234 | Development |
244 | Application support |
235 | Database support |
Salary Table :
Employee Id | Salary |
1 | 89000 |
2 | 60000 |
3 | 45000 |
4 | 50000 |
Problem Statement :
We need to fetch data from Employee table with its salary and associated department. If Department is not associated with Employee need to show that Blank.
Select A.Employee_Name,B.Salary,C.Department_Name
From Employee A
Left Join
Salary B on A.Employee_Id=B.Employee_Id
Left Join
Department C On A.Department_Id = C.Department_ID;
Query Explanation Step-by-Step :
Step 1 : Employee and Salary table join to fetch Employee and its associated Salary.
Step 2 : Use that set and join that set with Department table to fetch department associated with employee.
Output :
Employee Name | Salary | Department Name |
Amit | 89000 | Business Intelligence |
Saideepti | 60000 | Business Intelligence |
Purna | 45000 | Application Support |
Rahul | 50000 |
I hope this article is useful to you.If you like this article or if you have any queries with this article kindly comment in comments section.
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