EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials SQL Tutorial SQL Full Join
Secondary Sidebar
SQL Tutorial
  • Joins
    • Join Query in SQL
    • Types of Joins in SQL
    • Types of Joins in SQL Server
    • SQL Inner Join
    • SQL Join Two Tables
    • SQL Delete Join
    • SQL Left Join
    • LEFT OUTER JOIN in SQL
    • SQL Right Join
    • SQL Cross Join
    • SQL Outer Join
    • SQL Full Join
    • SQL Self Join
    • Natural Join SQL
    • SQL Multiple Join
  • Basic
    • What is SQL
    • Careers in SQL
    • Careers in SQL Server
    • IS SQL Microsoft?
    • SQL Management Tools
    • What is SQL Developer
    • Uses of SQL
    • How to Install SQL Server
    • What is SQL Server
    • SQL Quick References
    • SQL Like Wildcard
    • SQL Like with Multiple Values
    • SQL Examples
    • SQL Server Versions
    • SQL DROP DB
    • SQL Case Insensitive
    • SQL Expressions
    • Database in SQL
    • SQL Data Types
    • SQL Keywords
    • Composite Key in SQL
    • SQL WAITFOR
    • SQL Constraints
    • Transactions in SQL
    • First Normal Form
    • SQL Server Data Types
    • SQL Administration
    • SQL Variables
    • SQL Enum
    • SQL GROUP BY WHERE
    • SQL ROW
    • SQL EXECUTE
    • SQL EXCLUDE
    • SQL Performance Tuning
    • SQL UUID
    • Begin SQL
    • SQL Update Join
    • Cheat sheet SQL
  • Operators
    • SQL Operators
    • SQL Arithmetic Operators
    • SQL Logical Operators
    • SQL String Operators
    • Ternary Operator in SQL
  • Commands
    • SQL Commands
    • sqlplus set commands
    • SQL Alter Command
    • SQL Commands Update
    • SQL DML Commands
    • SQL DDL Commands
    • FETCH in SQL
  • Clause
    • SQL Clauses
    • SQL IN Operator
    • SQL SELECT DISTINCT Multiple Columns
    • SQL Null Values
    • SQL LIKE
    • SQL LIKE Query
    • SQL LIKE Operator
    • SQL LIKE Clause
    • SQL NOT Operator
    • SQL Minus
    • SQL WHERE Clause
    • SQL with Clause
    • SQL HAVING Clause
    • SQL HAVING Clause
    • SQL GROUP BY DAY
    • ORDER BY Clause in SQL
    • SQL ORDER BY CASE
    • SQL ORDER BY DESC
    • SQL ORDER BY DATE
    • SQL ORDER BY Alphabetical
    • SQL ORDER BY Ascending
    • SQL Order by Count
    • SQL GROUP BY Month
    • SQL GROUP BY Multiple Columns
    • SQL GROUPING SETS
  • Queries
    • SQL Insert Query
    • SQL SELECT Query
    • SQL SELECT RANDOM
    • SQL Except Select
    • SQL Subquery
    • SQL SELECT DISTINCT
    • SQL WITH AS Statement
  • Keys
    • SQL Keys
    • SQL Foreign Key
    • Primary Key in SQL
    • Foreign Key in SQL
    • Unique Key in SQL
    • SQL UNIQUE Constraint
    • SQL Primary Key
    • Alternate Key in SQL
    • SQL Super Key
  • Functions
    • SQL Date Function
    • SQL Server Functions
    • SQL String Functions
    • SQL Compare String
    • Timestamp to Date in SQL
    • SQL REGEX
    • SQL Window Functions
    • SQL Syntax
    • SQL CONCAT
    • SQL ALTER TABLE
    • SQL MOD()
    • SQL Timestamp
    • SQL Min and Max
    • SQL TO_DATE()
    • SQL DATEADD()
    • SQL DATEDIFF()
    • SQL HOUR()
    • SQLite? functions
    • ANY in SQL
    • LIKE Query in SQL
    • SQL NOT NULL
    • SQL NOT IN
    • SQL MAX()
    • SQL MIN()
    • SQL SUM()
    • SQL COUNT
    • SQL identity
    • SQL DELETE Trigger
    • SQL Declare Variable
    • SQL Text Search
    • SQL COUNT DISTINCT
    • SQL TEXT
    • SQL Limit Order By
    • BETWEEN in SQL
    • LTRIM() in SQL
    • TOP in SQL
    • SQL Select Top
    • Merge SQL
    • SQL TRUNCATE()
    • SQL UNION
    • SQL ALL
    • SQL INTERSECT
    • SQL Alias
    • SQL Server Substring
    • CUBE in SQL
    • SQL RANK()
    • SQL CTE
    • SQL LAG()
    • SQL MID
    • SQL avg()
    • SQL WEEK
    • SQL DELETE
    • SQL DATEPART()
    • SQL DECODE()
    • SQL DENSE_RANK()
    • SQL NTILE()
    • SQL NULLIF()
    • SQL Stuff
    • SQL Ceiling
    • SQL EXISTS
    • SQL LEAD()
    • SQL COALESCE
    • SQL BLOB
    • SQL ROW_NUMBER
    • SQL Server Replace
    • SQL Ranking Function
    • SQL Server Permission
  • T-SQL
    • T-SQL pivot
    • T-SQL Formatter
    • T-SQL TRY CATCH
    • T-SQL CTE
    • T-SQL CASE
    • T-SQL DATEPART
    • T-SQL Date Format
    • T-SQL ROUND
    • T-SQL Loop
    • T-SQL IIF
    • T-SQL Union
    • T-SQL CREATE TABLE
    • T-SQL INSERT
    • T-SQL Stuff
    • T-SQL ISNULL
    • T-SQL ADD Column
    • T-SQL DATEDIFF
  • Advanced
    • MDF File in SQL Server
    • SQL Aliases
    • SQL Hosting
    • SQL Auto Increment
    • SQL Injection
    • SQL Wildcards
    • SQL Check
    • SQL Indexes
    • Select Distinct
    • SQL BETWEEN
    • SQLPlus spool
    • SQL Create Table
    • SQL Schema
    • Comparison Operators in SQL
    • SQL_plus
    • SQL Formatter
    • SQL LEFT INNER JOIN
    • SQL Plus Command
    • SQLPlus not found
    • SQL Injection Attack
    • Aggregate Functions in SQL
    • SQL REVOKE
    • SQL Select Distinct Count
    • IF ELSE Statement in SQL
    • SQL CASE Statement
    • SQL While Loop
    • SQL BIGINT
    • SQL Crosstab
    • SQL Wildcard Character
    • SQL INSTR()
    • SQL now
    • SQL synonyms
    • SQLite?export to csv
    • What is Procedure in SQL
    • Stored Procedure in SQL?
    • SQL Server Constraints
    • SQL DELETE ROW
    • Column in SQL
    • Table in SQL
    • SQL Virtual Table
    • SQL Merge Two Tables
    • SQL Table Partitioning
    • SQL Temporary Table
    • SQL Clone Table
    • SQL Rename Table
    • SQL LOCK TABLE
    • SQL Clear Table
    • SQL DESCRIBE TABLE
    • SQL Mapping
    • Cursors in SQL
    • AND in SQL
    • Wildcard in SQL
    • SQL FETCH NEXT
    • SQL Views
    • SQL Delete View
    • Triggers in SQL
    • SQL UPDATE Trigger
    • SQL AFTER UPDATE Trigger
    • SQL Update Statement
    • SQL DROP TRIGGER
    • SQL DROP Table
    • Types of SQL Views
    • SQL Port
    • SQL Clustered Index
    • SQL COMMIT
    • Distinct Keyword in SQL
    • PARTITION BY in SQL
    • SQL Set Operators
    • SQL UNION ALL
    • Metadata in SQL
    • SQL Bulk Insert
    • Array in SQL
    • SQL REGEXP
    • JSON in SQL
    • SQL For loop
    • EXPLAIN in SQL
    • ROLLUP in SQL
    • Escape Character SQL
    • SQL Cluster
    • SQL Backup
    • SQL Pattern Matching
    • SQL Users
    • ISNULL SQL Server
    • SQL pivot
    • SQL Import CSV
    • SQL if then else
    • SQL ignore-case
    • SQL Matches
    • SQL Search String
    • SQL Column Alias
    • SQL extensions
    • SQL Substring Function
    • Charindex SQL
  • SqlAlchemy
    • What is SQLAlchemy
    • SqlAlchemy ORM
    • SQLAlchemy count
    • SQLAlchemy update object
    • SQLAlchemy pip
    • SQLAlchemy Connection
    • SQLAlchemy Metadata
    • SQLAlchemy Raw SQL
    • SQLAlchemy Filter in List
    • SQLAlchemy Alias
    • SQLAlchemy unique
    • SQLAlchemy JSONB
    • SQLAlchemy Async
    • SQLAlchemy Types
    • SQLAlchemy Many to Many
    • SQLAlchemy Example
    • SQLAlchemy Model
    • SQLAlchemy Data Types
    • SQLAlchemy Filter
    • SQLAlchemy SQLite
    • SQLAlchemy DateTime
    • SQLAlchemy create_engine
    • SQLAlchemy Delete
    • SQLAlchemy Migrations
  • NoSQL
    • NoSQL Databases List
    • NoSQL Data Modeling
    • Types of NoSQL Databases
    • NoSQL Injection
    • NoSQL vs SQL Databases
    • NoSQL Use Cases
    • NoSQL Key Value
  • Interview Questions
    • SQL Interview Questions
    • Advance SQL Interview Questions
    • SQL Joins Interview Questions
    • SQL Server Interview Questions
    • SQL Current Month

Related Courses

JDBC Training Course

PHP course

Windows 10 Training

SQL Course Training

PL/SQL Certification Courses

Oracle Certification Courses

SQL Full Join

By Priya PedamkarPriya Pedamkar

SQL Full Join

Overview of SQL Full Join

A SQL FULL join is a structured query language (SQL) statement in which when two tables are joined together, the statement returns all the rows from the joined tables even if all the rows do not meet the specified conditions, however, the non-matched rows in any of the tables are displayed as NULL, that is a FULL JOIN can be considered something similar to a combination of LEFT AND RIGHT JOINS in SQL.

Syntax:

SELECT column_name(s)
FROM table_name1
FULL JOIN table_name2
ON table_name1.column_name = table_name2.column_name
WHERE condition;</code

Parameters:

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

The different parameters used in the syntax are :

  • SELECT column_name(s): It is used to select the required data from the database. Here, column_name(s) is the name of the columns from the joined tables.
  • FROM table_name1 FULL JOIN table_name2: It is used to specify the source from which data has to be fetched. Here, table_name1 is the name of the left table and table_name2 is the name of the right table. FULL JOIN will fetch all records when there is a match in the left or right table records.
  • ON table_name1.column_name = table_name2.column_name: It is used to specify the common conditions on which the two tables will be joined. It can be a pair of primary and foreign keys.
  • WHERE condition: It is used to specify any other conditions that the records should satisfy to make to the resultant records.

Of the above-mentioned parameters, all the parameters except the WHERE clause are mandatory. You may use GROUP BY, ORDER BY and HAVING clauses based on your requirement.

How does SQL Full Join work?

A SQL FULL join is typically used in visualizing exception reports or ETL or any other peculiar situations where both sides have data you are trying to combine.

The following Venn diagram explains how a SQL full join works.

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,527 ratings)

 Full Join

Going ahead we will be discussing the above-mentioned self join in great detail.

In order to demonstrate and explain the FULL join in SQL effectively, we will be using the following tables. These tables are made for an e-commerce website. The first table “customers ”contains customer id, names, city to which they belong. The second table “cities” contains the id, city, and country to which they belong.

The schema for the above mentioned “customers” table is:

Number of records: 15

Customers
ID(primary key)
Customer
City

Let’s have a look at the records in the customer’s table. So that later, we can understand how self-join is helpful:

ID Customer City Items_purchased Amount_paid
1 Peter King Manchester Books 120
2 Priya Krishna New Delhi pen 50
3 Jim Halpert Manchester pencil 43
4 Michael Scott New York Books 250
5 Harvey Spector Birmingham pencil 100
6 Deepa Kamat Mumbai Books 370
7 Anita Desai London pencil 50
8 Rachel Zane Michigan pen 70
9 Pretoria John Canberra pen 190
10 John L Budapest Books 540
11 Justin Green Ottawa City pen 65
12 Babita Ghosh Kolkata pencil 75
13 Krish Pratt London eraser 30
14 Elizabeth Blunt London pencil 340
15 Nina Debrov Amsterdam Books 452

The schema for “cities” table is:

Number of Records: 10

Customers
ID(primary key)
city_name
country

Let’s have a look at the records in the cities table.

ID

City_Name

Country

1

New Delhi

India

2

Mumbai

India

3

Kolkata

India

4

London

England

5

Manchester

England

6

Ottawa City

Canada

7

Ontario

Canada

8

Pune

India

Examples to Implement SQL Full Join

Some of the examples are given below:

Example #1

Find the names of customers whose resident cities are not present in the cities table.

Code:

SELECT t1.Customer, t1.City, t2.city_name
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name;

Output:

SQL Full join - example1

In the above example, we can notice that cities like Birmingham, Michigan, Canberra, Budapest, and Amsterdam are not present in the cities table but they are still shown on FULL join with NULL values. Similarly, cities like Ontario, Pune and Washington D.C are not present in customers but were present in the cities table are also displayed with NULL values for not matching records.

Example #2

Find the names of customers along with the country to which they belong.

Code:

SELECT t1.Customer, t2.country
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name;

Output:

SQL Full join - example2

Example #3

Find the names of customers who purchased items in the books category, along with the country to which they belong.

Code:

SELECT t1.Customer, t2.country
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name
WHERE Items_purchased = 'Books';

Output:

SQL Full join - example3

Example #4

Find the number of customers per country ordered in descending order.

Code:

SELECT t2.country, count(t1.Customer) as No_of_Customers
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name
GROUP BY t2.country
ORDER BY 2 DESC;

Output:

customers per country

Example #5

Find the total revenue generated by the e-commerce company across different countries ordered from highest to lowest.

Code:

SELECT t2.country, sum(t1.Amount_paid ) as "Total Revenue Generated"
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name
GROUP BY t2.country
ORDER BY 2 DESC;

Output:

total revenue generated

Example #6

Find the total revenue generated by the e-commerce company in the Books and pencils category across different countries ordered from highest to lowest.

Code:

SELECT t2.country, sum(t1.Amount_paid ) as "Total Revenue Generated", t1.Items_purchased
FROM customers as t1 FULL JOIN cities as t2
ON t1.City = t2.city_name
WHERE t1.Items_purchased = 'Books' OR t1.Items_purchased = 'pencil'
GROUP BY t2.country, t1.Items_purchased
ORDER BY 1 DESC;

Output:

e-commerce company

When performing joins in SQL, we should always try to use table aliases which are abbreviations of the given tables. This helps in writing beautiful pieces of code.

Conclusion

SQL full join is a statement that returns all the records from both the joined tables. We should use it when we want to check for missing information in the database.

Recommended Articles

This is a guide to SQL Full Join. Here we discuss the introduction to SQL Full Join along with its appropriate syntax, parameters and respective examples. You can also go through our other suggested articles to learn more –

  1. SQL Right Join
  2. Custom SQL in Tableau
  3. MIN() in MySQL
  4. SQL Clauses
  5. Guide to SQL Self Join
  6. MySQL Self Join | How to Works?
Popular Course in this category
SQL Training Program (7 Courses, 8+ Projects)
  7 Online Courses |  8 Hands-on Projects |  73+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

JDBC Training (6 Courses, 7+ Projects)4.9
PHP Training (5 Courses, 3 Project)4.8
Windows 10 Training (4 Courses, 4+ Projects)4.7
PL SQL Training (4 Courses, 2+ Projects)4.7
Oracle Training (14 Courses, 8+ Projects)4.7
0 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more