A handy list of SQL commands for beginners

A handy list of SQL commands for beginners

I've been learning SQL this week. Here's a cheat sheet of basic SQL commands.

CRUD

CRUD stands for CREATE, READ, UPDATE, DELETE - the basic SQL commands for working with relational databases. Here's the syntax for the most common commands:

CREATE

This is the command to create a new database from scratch:

CREATE DATABASE database_name;

--An example:

CREATE DATABASE hogwarts_library;

Here's the basic syntax to create a new table in a database:

CREATE TABLE table_name (
    column1_name data_type,
    column2_name data_type,
    column3_name data_type
);

--An example:

CREATE TABLE books (
    id INT,
    title VARCHAR(100),
    author VARCHAR(100),
    genre VARCHAR(50)
);

The above example will give us a table with the following headings (we haven't put any data in it yet so the rows are empty):

| id       | title    | author  | genre   |
|----------|----------|---------|---------|
|          |          |         |         |
|          |          |         |         |

DATA TYPES

Here's a list of a few common data types:

Data typeMeaning
INTInteger. A number
VARCHAR(size)A string of variable length. Can contain letters, numbers, and special characters. Enter a number between 0 and 65535 in place of (size)
BOOLEANA zero in this column will be considered false, any non-zero value will be true
DATEA date, in YYYY-MM-DD format

n.b these are MySQL data types, they may be slightly different for other database software such as PostgreSQL

Click here for a full list of data types from W3Schools.

READ

To read data from a database, we use the SELECT command:

SELECT column_name
FROM table_name;

--An example:
--This query will return all the values in the title column:

SELECT title
FROM books;

--Another example:
--This will return all the values in the books table:

SELECT *
FROM books;

UPDATE

To update data in a database we can use the INSERT, UPDATE and ALTER TABLE commands:

INSERT

This command inserts a new row into a table:

INSERT INTO table_name (column1_name, column2_name, column3_name)
VALUES (value1, value2, value3);

--An example:

INSERT INTO books (id, title, author, genre)
VALUES (1, 'The Hobbit', 'J.R.R. Tolkein', 'Fantasy');

--Will result in:

| id  | title      | author         | genre    |
|-----|------------|----------------|----------|
| 1   | The Hobbit | J.R.R. Tolkein | Fantasy  |
|     |            |                |          |

n.b. if you are entering values for all the columns, you can omit the first set of brackets after table_name.

UPDATE

This command edits a row in a table:

UPDATE table_name
SET column_name = value
WHERE condition;

--An example:
--This will change the title in our example table above from 'The Hobbit' to 'The Fellowship of the Ring'

UPDATE books
SET title = 'The Fellowship of the Ring'
WHERE id = 1;

ALTER TABLE

This command adds a new column to a table:

ALTER TABLE books
ADD COLUMN year INT;

--Will give us:

| id  | title    | author  | genre   | year   |
|-----|----------|---------|---------|--------|
|     |          |         |         |        |

DELETE

DELETE FROM

This is the command to delete one or more rows from a table:

DELETE FROM books
WHERE author = 'J.R.R. Tolkein';

DROP TABLE

This command deletes a table from a database:

DROP TABLE books;

WHERE

The WHERE command is used to filter records. Here is an example using SELECT:

SELECT * FROM books 
WHERE author = 'J.R.R. Tolkein';

You can use operators with WHERE. Here's a list of a few operators:

OperatorMeaning
=Equal
<>Not equal (sometimes written as !=)
>Greater than
<Less than
>=Greater than or equal to
<=Less than or equal to
BETWEENBetween a certain range. Use with AND
LIKESearch for a pattern e.g LIKE '%man% will find any string with man in it
ORUse to check for one of two/multiple conditions

Click here for a full list of operators from W3Schools.

IS NULL and IS NOT NULL are also useful:

SELECT *
FROM books
WHERE genre IS NULL;

So there you have it, the basic SQL commands in a handy cheatsheet. Some other helpful commands to look up next include:

  • Constraints e.g PRIMARY KEY, UNIQUE, DEFAULT, NOT NULL
  • MAX() & MIN()
  • ORDER BY
  • LIMIT
  • COUNT()
  • DISTINCT
  • CASE
  • SUM()
  • AVG()
  • ROUND()
  • JOIN

Cover image by Jan Antonin Kolar on Unsplash