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SQL Query to select Data from Tables Using Join and Where

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The aim of this article is to make a simple program to Join two tables using Join and Where clause using MySQL. Below is the method to do the same using MySQL. The prerequisites of this article are MySQL and Apache Server on your computer are installed.

What is a Query in SQL?

A SQL query is a request passed for data/information from a table in a database. This data can be used for various purposes like Training a model, finding the patterns in the data, etc.

What is Join in SQL?

A JOIN query is used to combine rows from two or more tables, based on a single column which can be used to store the same data from both tables. So we join over that point and join rows.

What is the Where Clause in SQL?

WHERE keyword in SQL is used for retrieving data in a result under a certain query. It can also be used to retrieve data by matching patterns like Select all the students whose marks are greater than 90 or select all the data from tables where employees salary is greater than 6 lakhs and less than 12 lakhs.

So we will start by creating a database – 

Step 1: Create a Database

CREATE DATABASE geeksforgeeks;

Step 2: Enter this database to use it – 

USE geeksforgeeks;

Step 3: Create a table1 as employee in the database where we will perform our operations – 

CREATE TABLE employee ( ID int(10),
            Name varchar(55),
            Email varchar(100),
            Department int(10)
            );

Step 4: Create another table2 as dept where we will store the data of employees of the second company- 

CREATE TABLE dept     ( ID int(10),
            Name varchar(55),
            hodId int(10),
            profit int(20)
            );

Step 5: View the schema of the table to ensure the table is correct – 

> DESC employee;
> DESC dept;

Step 6: Insert the data into the employee table – 

INSERT INTO employee VALUES(1, "Devesh", "geeks@geeks.com", 1);
INSERT INTO employee VALUES(2, "Mayank", "for@geeks.com", 1);
INSERT INTO employee VALUES(3, "Aditya", "geeks@geeks.com", 2);
INSERT INTO employee VALUES(4, "Divyanshi", "portal@geeks.com", 2);
INSERT INTO employee VALUES(5, "Megha", "is@geeks.com", 3);
INSERT INTO employee VALUES(6, "Himanshi", "a@geeks.com", 3);
INSERT INTO employee VALUES(7, "Tanishka", "computer@geeks.com", 4);
INSERT INTO employee VALUES(8, "Jatin", "science@geeks.com", 4);

Step 7: Insert data into dept table –

INSERT INTO dept VALUES(1, "Computer Science", 1, 100000);
INSERT INTO dept VALUES(2, "Electrical", 2, 45000);
INSERT INTO dept VALUES(3, "Biotechnology", 3, 30000);
INSERT INTO dept VALUES(4, "Architecture", 4, 15000);

Step 8: Query the data using where and Join – 

Example 1: Select all the data of employees who are the HODs of the departments –

SELECT employee.ID, employee.Name, employee.Email
FROM employee 
JOIN dept
WHERE
employee.ID = dept.hodId;

Output:

Example 2: Select all the data where the department’s profit is greater than 45000 – 

SELECT * 
FROM employee
LEFT JOIN dept
ON
employee.Department = dept.ID
WHERE 
employee.Name IN
(SELECT Name FROM employee WHERE dept.profit > 45000);

Output:

Example 3: Select all the data from both the tables using JOIN (cross join) –

SELECT *
FROM employee 
FULL JOIN dept
WHERE
dept.id > 0;

Example 4: Select all the employees from a department whose sum profit is greater than 5000

SELECT DISTINCT dept.ID, dept.Name, dept.hodId
FROM dept
JOIN employee
ON
dept.ID = employee.Department
WHERE
hodId IN
(SELECT hodId FROM dept WHERE hodId > 0);

Output:


Last Updated : 27 Apr, 2021
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