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SQL, or Structured Query Language, is regarded as the core of relational databases, which provides aid in handling data. It offers extensive features, including Injection, Triggers, Joins, Hosting, etc.
Joins are one of the most important concepts of SQL. In this article, we will give you informative insights into SQL JOINs and also look into the different types of SQL Joins. Please keep reading until the end of the article to know more about SQL Joins in detail. Let’s begin!
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SQL is a programming language that is used for storing and processing information within a relational database. A relational database stores information in a tabular format representing different data attributes and relationships between the data values.
You can also use SQL statements for storing, updating, removing, searching, and retrieving information from the database. Besides, it can also be used for maintaining and optimising database performance.
Are you preparing yourself for SQL? If so, then go through these SQL-interview-questions.
JOINs in SQL are typical commands that combine rows from different tables based on related columns between those tables. Users predominantly use this command while extracting data from tables that share many-to-many relationships.
SQL JOINs enable you to combine data from tables based on related columns. The importance of SQL JOINs can be stated as follows:
The SQL server primarily supports four distinctive variants of JOINs. Each JOIN query in SQL defines how two or more tables are related within a query.
Here we have enlisted the various types of SQL JOIN support within the SQL Server.
This type of JOIN in SQL returns all records from multiple tables that satisfy the specified JOIN condition. It is considered the simplest and the most popular form of JOIN in SQL that assumes a default JOIN. Omitting the INNER keyword from the JOIN query will fetch you a similar output.
This type of JOIN in SQL combines rows from two or more tables based on an entirely matching condition. It only returns the rows that have matching values in both tables.
SELECT columns FROM table1 INNER JOIN table2 ON condition1 INNER JOIN table3 ON condition2
Firstly, we will create two tables “Student” and “Fee” using the following statement: CREATE TABLE Student ( id int PRIMARY KEY IDENTITY, admission_no varchar(45) NOT NULL, first_name varchar(45) NOT NULL, last_name varchar(45) NOT NULL, age int, city varchar(25) NOT NULL ); CREATE TABLE Fee ( admission_no varchar(45) NOT NULL, course varchar(45) NOT NULL, amount_paid int, ); Now, we will incorporate a few records into these tables by using these statements: INSERT INTO Student (admission_no, first_name, last_name, age, city) VALUES (3354,'Luisa', 'Evans', 13, 'Texas'), (2135, 'Paul', 'Ward', 15, 'Alaska'), (4321, 'Peter', 'Bennett', 14, 'California'), (4213,'Carlos', 'Patterson', 17, 'New York'), (5112, 'Rose', 'Huges', 16, 'Florida'), (6113, 'Marielia', 'Simmons', 15, 'Arizona'), (7555,'Antonio', 'Butler', 14, 'New York'), (8345, 'Diego', 'Cox', 13, 'California'); INSERT INTO Fee (admission_no, course, amount_paid) VALUES (3354,'Java', 20000), (7555, 'Android', 22000), (4321, 'Python', 18000), (8345,'SQL', 15000), (5112, 'Machine Learning', 30000);
Next, you need to execute the SELECT statement for verifying the records:
Table: Student
ID | Admission_No | First_Name | Last_Name | Age | City |
1 | 3354 | Luisa | Evans | 13 | Texas |
2 | 2135 | Paul | Ward | 15 | Alaska |
3 | 4321 | Peter | Bennett | 14 | California |
4 | 4213 | Carlos | Patterson | 17 | New York |
5 | 5112 | Rose | Huges | 16 | Florida |
6 | 6113 | Marielia | Simmons | 15 | Arizona |
7 | 7555 | Antonio | Butler | 14 | New York |
8 | 8345 | Diego | Cox | 13 | California |
Table: Fee
Admission_no | Course | Amount_Paid |
3345 | Java | 20000 |
7555 | Android | 22000 |
4321 | Python | 18000 |
8345 | SQL | 15000 |
5112 | Machine Learning | 30000 |
Some of the common pitfalls that you’re likely to encounter while using this JOIN in SQL are:
Outer JOINs in SQL Server return all records from both tables that genuinely satisfies the JOIN condition. Simply put, thisSQL JOIN will return the matching record and all the unmatched rows from all tables.
Outer JOINs in SQL return all rows from one table and matching rows from another. Furthermore, it also includes non-matching rows from one or both tables.
The following syntax illustrates the use of left outer JOIN in SQL Server:
SELECT column_lists FROM table1 LEFT [OUTER] JOIN table2 ON table1.column = table2.column; The following syntax illustrates the use of right outer JOIN in SQL Server: SELECT column_lists FROM table1 RIGHT [OUTER] JOIN table2 ON table1.column = table2.column; The following syntax illustrates the use of full outer JOIN in SQL Server: SELECT column_lists FROM table1 FULL [OUTER] JOIN table2 ON table1.column = table2.column;
We can seamlessly demonstrate the LEFT OUTER JOIN using the following command:
SELECT Student.admission_no, Student.first_name, Student.last_name, Fee.course, Fee.amount_paid FROM Student LEFT OUTER JOIN Fee ON Student.admission_no = Fee.admission_no; Here’s howe you can use the RIGHT OUTER JOIN to get records from both tables: SELECT Student.admission_no, Student.first_name, Student.last_name, Fee.course, Fee.amount_paid FROM Student RIGHT OUTER JOIN Fee ON Student.admission_no = Fee.admission_no; This example clearly explains the techniques of using the FULL OUTER JOIN to get records from both tables: SELECT Student.admission_no, Student.first_name, Student.last_name, Fee.course, Fee.amount_paid FROM Student FULL OUTER JOIN Fee ON Student.admission_no = Fee.admission_no;
Some of the best practices for using Outer JOINs include:
Some of the most common pitfalls that you’re likely to encounter are:
The cross JOINs in SQL combine all the possibilities of different tables, returning results from each row of every contributing table.
Cross JOIN is a join in SQL that produces a Cartesian product of two tables. It results in all possible combinations of the rows and doesn’t require any standard columns between the tables.
SELECT column_lists FROM table1 CROSS JOIN table2;
Here’s how we can demonstrate the CROSS JOIN with the following command:
SELECT Student.admission_no, Student.first_name, Student.last_name, Fee.course, Fee.amount_paid FROM Student CROSS JOIN Fee WHERE Student.admission_no = Fee.admission_no;
The best practices for using cross JOINs include:
Some of the common pitfalls that you might encounter are:
SQL JOIN Type | Description |
INNER JOIN | Returns only the matching rows from both tables based on a specified condition |
LEFT JOIN | Returns all rows from the left table and matching rows from the right table, or NULL values if there is no match |
RIGHT JOIN | Returns all rows from the right table and matching rows from the left table, or NULL values if there is no match |
FULL OUTER JOIN | Returns all rows from both tables, including NULL values for non-matching rows |
CROSS JOIN | Returns the Cartesian product of both tables, producing all possible combinations of their rows |
Check out What is Arrays in Java | Everything You Need to Know.
Here we have listed down the pros and cons of each type of JOIN query in SQL:
INNER JOIN:
Pros:
Cons:
Check out more on Inner JOIN SQL.
LEFT JOIN
Pros:
Cons:
RIGHT JOIN
Pros:
Cons:
FULL OUTER JOIN
Pros:
Cons:
CROSS JOIN
Pros:
Cons:
You can learn more about the Advantages and Disadvantages of Arrays in C, C++ and Java!
Consider the relationship between the data and tables you wish to retrieve to pick out the right JOIN type. You can use the INNER JOIN to retrieve matching data and LEFT or RIGHT JOIN to include non-matching data. Besides, you can also use the FULL OUTER JOIN to include all data and CROSS JOIN to combine all possible combinations.
In this article we have what SQL joins and, the major types of joins in SQL. To sum up, SQL JOINs enable you to combine data from multiple tables. You must choose the appropriate SQL JOIN type based on the relationship between tables and data requirements.
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