How to Create Database in MySQL (Create MySQL Tables)
โก Smart Summary
Creating a database in MySQL follows two proven paths: executing a CREATE DATABASE statement, or generating physical schemas from an ER model through MySQL Workbench forward engineering. Both approaches produce identical, production-ready tables.

Steps to Create Database in MySQL
A database in MySQL is a named container for tables, views, and related objects. You can create one in two ways:
1) By executing a simple SQL query
2) By using forward engineering in MySQL Workbench
As SQL beginner, let’s look into the query method first.
How to Create Database in MySQL
Here is how to create a database in MySQL:
CREATE DATABASE is the SQL command used for creating a database in MySQL.
Imagine you need to create a database with the name “movies”. You can create a database in MySQL by executing the following SQL command.
CREATE DATABASE movies;
Note: You can also use the command CREATE SCHEMA instead of CREATE DATABASE.
The statement works only once. Running it again throws an error, so let’s improve the query with more parameters.
IF NOT EXISTS
A single MySQL server can hold many databases. When several people share that server, you may try to create a database with the name of an existing one.
IF NOT EXISTS instructs the MySQL server to check for a database with the same name before creating it. The database is created only if the name is free; without this clause, MySQL throws an error.
CREATE DATABASE IF NOT EXISTS movies;
Once the database name is safe, the next decision is how MySQL should store and compare the text inside it.
Collation and Character Set
A character set decides which characters a column can store, while a collation is the set of rules used in comparison and sorting. Both can be defined at four levels: server, database, table, and column.
The collation you choose depends on the character set. For instance, the latin1 character set uses the latin1_swedish_ci collation, which is the Swedish case-insensitive order.
CREATE DATABASE IF NOT EXISTS movies CHARACTER SET latin1 COLLATE latin1_swedish_ci;
For local languages such as Arabic or Chinese, select the Unicode utf8mb4 character set, which stores every Unicode character, including emoji. In MySQL 8.0, utf8mb4 is the default character set and utf8mb4_0900_ai_ci the default collation.
CREATE DATABASE IF NOT EXISTS movies CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci;
You can find the list of all collations and character sets here.
You can see the list of existing databases by running the following SQL command.
SHOW DATABASES;
With the database in place, you can now add the tables that will actually hold the records.
How to Create Table in MySQL
The CREATE TABLE command is used to create tables in a database.
As the diagram shows, every table belongs to one database. Tables are created with the CREATE TABLE statement, which has the following syntax.
CREATE TABLE [IF NOT EXISTS] `TableName` (`fieldname` dataType [optional parameters]) ENGINE = storage Engine;
HERE
- “CREATE TABLE” is responsible for the creation of the table in the database.
- “[IF NOT EXISTS]” is optional and only creates the table if no matching table name is found.
- “`fieldName`” is the name of the field, and “data Type” defines the nature of the data stored in it.
- “[optional parameters]” is extra information about a field, such as “AUTO_INCREMENT” or NOT NULL.
- “storage Engine” manages the table, normally InnoDB, which supports transactions and foreign keys.
MySQL Create Table Example
Below is a MySQL example to create a table in a database:
CREATE TABLE IF NOT EXISTS `MyFlixDB`.`Members` ( `membership_number` INT AUTO_INCREMENT , `full_names` VARCHAR(150) NOT NULL , `gender` VARCHAR(6) , `date_of_birth` DATE , `physical_address` VARCHAR(255) , `postal_address` VARCHAR(255) , `contact_number` VARCHAR(75) , `email` VARCHAR(255) , PRIMARY KEY (`membership_number`) ) ENGINE = InnoDB;
Note: the correct MySQL keyword is AUTO_INCREMENT with an underscore. AUTOINCREMENT belongs to SQLite and raises a syntax error in MySQL.
Every column carries a data type, so choose carefully: neither underestimate nor overestimate the range of data you expect.
MySQL Data Types
Data types define the nature of the data that can be stored in a particular column of a table.
MySQL has 3 main categories of data types, namely:
- Numeric
- Text
- Date/time
Numeric Data Types
Numeric data types are used to store numeric values. It is very important to make sure the range of your data is between the lower and upper boundaries of the numeric data type you pick.
| TINYINT( ) | -128 to 127 normal 0 to 255 UNSIGNED. |
| SMALLINT( ) | -32768 to 32767 normal 0 to 65535 UNSIGNED. |
| MEDIUMINT( ) | -8388608 to 8388607 normal 0 to 16777215 UNSIGNED. |
| INT( ) | -2147483648 to 2147483647 normal 0 to 4294967295 UNSIGNED. |
| BIGINT( ) | -9223372036854775808 to 9223372036854775807 normal 0 to 18446744073709551615 UNSIGNED. |
| FLOAT | A small approximate number with a floating decimal point. |
| DOUBLE( , ) | A large number with a floating decimal point. |
| DECIMAL( , ) | A DOUBLE stored as a string, allowing for a fixed decimal point. Choice for storing currency values. |
Text Data Types
As the data type category name implies, these are used to store text values. Always make sure the length of your textual data does not exceed the maximum length of the column.
| CHAR( ) | A fixed section from 0 to 255 characters long. |
| VARCHAR( ) | A variable section from 0 to 255 characters long. |
| TINYTEXT | A string with a maximum length of 255 characters. |
| TEXT | A string with a maximum length of 65535 characters. |
| BLOB | A string with a maximum length of 65535 characters. |
| MEDIUMTEXT | A string with a maximum length of 16777215 characters. |
| MEDIUMBLOB | A string with a maximum length of 16777215 characters. |
| LONGTEXT | A string with a maximum length of 4294967295 characters. |
| LONGBLOB | A string with a maximum length of 4294967295 characters. |
Date and Time Data Types
Date and time data types store calendar and clock values in a fixed format, which keeps sorting and comparison reliable.
| DATE | YYYY-MM-DD |
| DATETIME | YYYY-MM-DD HH:MM:SS |
| TIMESTAMP | YYYYMMDDHHMMSS |
| TIME | HH:MM:SS |
Other Data Types
Apart from the above, there are some other data types in MySQL.
| ENUM | To store a text value chosen from a list of predefined text values |
| SET | This is also used for storing text values chosen from a list of predefined text values. It can have multiple values. |
| BOOL | Synonym for TINYINT(1), used to store Boolean values |
| BINARY | Similar to CHAR; the difference is that texts are stored in binary format. |
| VARBINARY | Similar to VARCHAR; the difference is that texts are stored in binary format. |
Now let’s see a query for creating a table which uses all the data types. Study it and identify how each data type is defined in the below create table MySQL example.
CREATE TABLE `all_data_types` ( `varchar` VARCHAR( 20 ) , `tinyint` TINYINT , `text` TEXT , `date` DATE , `smallint` SMALLINT , `mediumint` MEDIUMINT , `int` INT , `bigint` BIGINT , `float` FLOAT( 10, 2 ) , `double` DOUBLE , `decimal` DECIMAL( 10, 2 ) , `datetime` DATETIME , `timestamp` TIMESTAMP , `time` TIME , `year` YEAR , `char` CHAR( 10 ) , `tinyblob` TINYBLOB , `tinytext` TINYTEXT , `blob` BLOB , `mediumblob` MEDIUMBLOB , `mediumtext` MEDIUMTEXT , `longblob` LONGBLOB , `longtext` LONGTEXT , `enum` ENUM( '1', '2', '3' ) , `set` SET( '1', '2', '3' ) , `bool` BOOL , `binary` BINARY( 20 ) , `varbinary` VARBINARY( 20 ) ) ENGINE = MYISAM;
Best Practices for Creating a MySQL Database
A few conventions keep your scripts readable:
- Use upper case letters for SQL keywords, i.e. “DROP SCHEMA IF EXISTS `MyFlixDB`;”
- End all your SQL commands using semicolons.
- Avoid using spaces in schema, table, and field names. Use underscores instead to separate schema, table, or field names.
- Prefer InnoDB over MyISAM for new tables, because InnoDB supports transactions, row-level locking, and foreign keys.
The query method is complete. The second route reaches the same database from a visual model instead of hand-written SQL.
How to Create MySQL Workbench ER Diagram Forward Engineering
MySQL Workbench has utilities that support forward engineering. Forward engineering is the technical term that describes the process of translating a logical model into a physical implementation automatically.
We created an ER diagram in our ER modeling lesson. We will now use that ER model to generate the SQL scripts that will create our database.
Creating the MyFlix database from the MyFlix ER model
Step 1) Open the ER model of the MyFlix database that you created earlier.
Step 2) Select forward engineer
Click on the Database menu and select Forward Engineer.
Step 3) Connection options
The next window allows you to connect to an instance of MySQL server. Click on the stored connection drop-down list and select local host. Click Execute.
Step 4) Select the options shown below
Select the options shown below in the wizard that appears. Click Next.
Step 5) Keep the selections default and click Next
The next screen shows the summary of objects in our EER diagram. Our MyFlix DB has 5 tables. Keep the selections default and click Next.
Step 6) Review the SQL script
The window below previews the SQL script that creates our database. Save the script to a *.sql file or copy it to the clipboard, then click Next.
Step 7) Commit progress
The window below appears once the database is created on the selected MySQL server instance. The tables from the ER model now exist physically on the server.
The database along with dummy data is attached. We will use this DB in the lessons that follow. Simply import it in MySQL Workbench to get started.
Click Here To Download MyFlixDB







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