Introduction
In this chapter, we will learn how to use the SELECT
statement in SQL. The SELECT
statement is used to retrieve data from a database. It is one of the most commonly used commands in SQL, as it allows you to query and fetch data from one or more tables. This chapter will cover the syntax, various options, and examples to help you understand how to use the SELECT
statement effectively.
Sample Data
Before we dive into the examples, let's create a sample table and insert some data. We will use this table for our examples.
Create a Sample Table
CREATE TABLE employees (
id INT PRIMARY KEY AUTO_INCREMENT,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(100),
hire_date DATE,
salary DECIMAL(10, 2)
);
Insert Sample Data
INSERT INTO employees (first_name, last_name, email, hire_date, salary)
VALUES
('Ramesh', 'Kumar', 'ramesh.kumar@example.com', '2020-01-15', 50000.00),
('Sita', 'Patel', 'sita.patel@example.com', '2019-03-23', 60000.00),
('Arjun', 'Singh', 'arjun.singh@example.com', '2018-07-11', 70000.00),
('Priya', 'Sharma', 'priya.sharma@example.com', '2021-05-19', 55000.00),
('Anil', 'Mehta', 'anil.mehta@example.com', '2020-11-02', 52000.00);
Data in employees
Table
id | first_name | last_name | hire_date | salary | |
---|---|---|---|---|---|
1 | Ramesh | Kumar | ramesh.kumar@example.com | 2020-01-15 | 50000.00 |
2 | Sita | Patel | sita.patel@example.com | 2019-03-23 | 60000.00 |
3 | Arjun | Singh | arjun.singh@example.com | 2018-07-11 | 70000.00 |
4 | Priya | Sharma | priya.sharma@example.com | 2021-05-19 | 55000.00 |
5 | Anil | Mehta | anil.mehta@example.com | 2020-11-02 | 52000.00 |
Syntax for SELECT Statement
The SELECT
statement is used to query data from a table. Here is the basic syntax:
SELECT column1, column2, ...
FROM table_name;
column1, column2, ...
: The columns you want to retrieve data from.table_name
: The name of the table from which to retrieve the data.
Examples
Select All Columns
To retrieve all columns from a table, you can use the *
wildcard.
SELECT * FROM employees;
Output
id | first_name | last_name | hire_date | salary | |
---|---|---|---|---|---|
1 | Ramesh | Kumar | ramesh.kumar@example.com | 2020-01-15 | 50000.00 |
2 | Sita | Patel | sita.patel@example.com | 2019-03-23 | 60000.00 |
3 | Arjun | Singh | arjun.singh@example.com | 2018-07-11 | 70000.00 |
4 | Priya | Sharma | priya.sharma@example.com | 2021-05-19 | 55000.00 |
5 | Anil | Mehta | anil.mehta@example.com | 2020-11-02 | 52000.00 |
Select Specific Columns
To retrieve specific columns from a table, specify the column names.
SELECT first_name, last_name, email FROM employees;
Output
first_name | last_name | |
---|---|---|
Ramesh | Kumar | ramesh.kumar@example.com |
Sita | Patel | sita.patel@example.com |
Arjun | Singh | arjun.singh@example.com |
Priya | Sharma | priya.sharma@example.com |
Anil | Mehta | anil.mehta@example.com |
Using Column Aliases
Column aliases are used to rename a column in the result set. This can make the output more readable.
SELECT first_name AS FirstName, last_name AS LastName, email AS EmailAddress FROM employees;
Output
FirstName | LastName | EmailAddress |
---|---|---|
Ramesh | Kumar | ramesh.kumar@example.com |
Sita | Patel | sita.patel@example.com |
Arjun | Singh | arjun.singh@example.com |
Priya | Sharma | priya.sharma@example.com |
Anil | Mehta | anil.mehta@example.com |
Using Table Aliases
Table aliases are used to give a table a temporary name, often to make queries easier to write and read, especially when joining tables.
SELECT e.first_name, e.last_name, e.email
FROM employees AS e;
Output
first_name | last_name | |
---|---|---|
Ramesh | Kumar | ramesh.kumar@example.com |
Sita | Patel | sita.patel@example.com |
Arjun | Singh | arjun.singh@example.com |
Priya | Sharma | priya.sharma@example.com |
Anil | Mehta | anil.mehta@example.com |
Using DISTINCT Keyword
The DISTINCT
keyword is used to return only distinct (different) values.
SELECT DISTINCT salary FROM employees;
Output
salary |
---|
50000.00 |
60000.00 |
70000.00 |
55000.00 |
52000.00 |
Using Functions in SELECT
SQL provides various functions that can be used in the SELECT
statement to perform calculations on data.
Example of Using Aggregate Functions
-
COUNT: Returns the number of rows that match a specified criterion.
SELECT COUNT(*) AS NumberOfEmployees FROM employees;
Output
NumberOfEmployees 5 -
SUM: Returns the total sum of a numeric column.
SELECT SUM(salary) AS TotalSalary FROM employees;
Output
TotalSalary 287000.00 -
AVG: Returns the average value of a numeric column.
SELECT AVG(salary) AS AverageSalary FROM employees;
Output
AverageSalary 57400.00 -
MIN: Returns the smallest value of a selected column.
SELECT MIN(salary) AS MinimumSalary FROM employees;
Output
MinimumSalary 50000.00 -
MAX: Returns the largest value of a selected column.
SELECT MAX(salary) AS MaximumSalary FROM employees;
Output
MaximumSalary 70000.00
Concatenating Columns
You can concatenate columns to create a full name from first and last names.
SELECT CONCAT(first_name, ' ', last_name) AS FullName, email FROM employees;
Output
FullName | |
---|---|
Ramesh Kumar | ramesh.kumar@example.com |
Sita Patel | sita.patel@example.com |
Arjun Singh | arjun.singh@example.com |
Priya Sharma | priya.sharma@example.com |
Anil Mehta | anil.mehta@example.com |
Conclusion
The SELECT
statement is used for retrieving data from a database. This chapter covered the basic syntax, selecting specific columns, using aliases, the DISTINCT
keyword, aggregate functions, and concatenating columns. Understanding how to use the SELECT
statement effectively is crucial for querying and manipulating data in your database.
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