How to Create a Database and a User in MySQL

How to Create a Database and a User in MySQL
Hostman Team
Technical writer
MySQL
21.12.2023
Reading time: 5 min

In this instruction, we will look at creating a user and a database in MySQL, deleting a database, and granting user privileges. 

By default, you will have access to the root user. Use it to perform the initial setup: create the first database and other users.

These commands are suitable for managing MySQL deployed on the server. If you are using a cloud database at Hostman, the user and the database itself will be created automatically when you create the database in the control panel.

Creating a database

Connect to MySQL under the root account:

mysql -u root -p

Check what databases already exist on the server:

SHOW DATABASES;

The table won't be empty even if you haven't done anything yet. It will show the service databases. There is no need to delete them.

To create a MySQL database, execute:

CREATE DATABASE my_hostman;

Instead of my_hostman, specify the name you want to give the new database.

To make sure that the new database appears on the server, run again:

SHOW DATABASES;

The table will display the name of the database you just created.

Database names should be unique. If you try to create the my_hostman database again, an error message with code 1007 will appear. 

To prevent the error from appearing, you can create a new database in MySQL using the extended syntax:

CREATE DATABASE IF NOT EXISTS my_hostman;

In this case, the DBMS will check the condition. If there is no database with this name, MySQL will create it. If such a database already exists, nothing will change.

Deleting a database

To delete a database, execute:

DROP DATABASE my_hostman;

Instead of my_hostman, specify the name of the database to be deleted.

DROP DATABASE also has an extended syntax that helps avoid errors:

DROP DATABASE IF EXISTS my_hostman;

The query will only be executed if there is a database with that name.

DROP DATABASE will delete the database and its associated data. 

Use DROP DATABASE with caution. The MySQL command line interface will not prompt you to confirm the action.

Creating a database user

MySQL offers a convenient system for managing users and their privileges. You can change access rights and allow and deny actions on the server. 

To create a user in MySQL, log in as root and execute in the console:

CREATE USER 'user'@'localhost' IDENTIFIED BY 'password';

After executing this command, the user named user will access the MySQL instance from the local machine (localhost). Direct access from other hosts will be denied. A password will be used for identification.

If you want to specify a pool of hosts, use the % symbol. For example:

CREATE USER 'sub_user'@'10.0.%' IDENTIFIED BY 'password;

The entry 10.0.% indicates that MySQL can be accessed from any client whose IP address starts with 10.0..

You can use % at any octet of the IP address when defining the host. For the user to have access from all hosts, use the 'user'@'%' entry. 

To see a list of accounts, execute:

SELECT * FROM mysql.user;

Deleting an account

You can delete a MySQL account with the DROP USER command:

DROP USER 'user'@'localhost';

Be careful; the command is executed without additional confirmation.

Granting privileges

Without privileges, a user can connect to MySQL server, but cannot work with data or perform other actions. 

This table contains privileges that are often granted to users. For a more detailed list, see the documentation.

Privilege

What the user can do

ALTER

Change the table or database structure

CREATE

Create new databases and tables

DELETE

Delete rows in a table

INSERT

Add rows to a table

SELECT

Read data from a table

UPDATE

Update data in the table

DROP

Delete the database

To grant rights, you must execute the GRANT command. For example:

GRANT SELECT, INSERT ON my_hostman.* TO 'user'@'localhost';

This command should be run under the root account, as it has the GRANT privilege. After applying this query, user will be able to read and add rows to the my_hostman database tables.

To grant the user all privileges other than those of root, execute:

GRANT ALL PRIVILEGES ON my_hostman.* TO 'user'@'localhost';

Revoking privileges

To revoke privileges, use the REVOKE command. It has the same syntax as GRANT. But the result will be the opposite.

For example, if you want to revoke the SELECT and INSERT privileges of  user in the my_hostman database, type the following:

REVOKE SELECT, INSERT ON my_hostman.* FROM 'user'@'localhost';

If the account did not have any privileges for this database, nothing will change.

Key commands you need to know

How to create a database in MySQL:

CREATE DATABASE IF NOT EXISTS [database_name];

How to delete a database:

DROP DATABASE IF EXISTS [database_name]

How to create a new MySQL user:

CREATE USER 'user'@'host' IDENTIFIED BY 'password';

How to delete a user:

DROP USER 'user'@'host';

This is the minimum set of queries that will help to create a MySQL database and a user. The specifics of using these and other DBMS features are described in detail in the MySQL documentation.

You can also use tools with a graphical interface for database management, such as phpMyAdmin or MySQL Workbench. Their documentation describes in detail how to create and work with the databases and users.

MySQL
21.12.2023
Reading time: 5 min

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Conversely, statement-level triggers run once for an entire operation, regardless of how many rows are affected. These are useful for performing global checks or logging summary information. Triggers can also be categorized by their execution timing relative to the triggering event. Before triggers are executed prior to the event, often to validate or modify data before it is written to the database. After triggers execute after the event, making them ideal for tasks such as auditing or enforcing referential integrity. This is an example of a row-level AFTER INSERT trigger which logs new product additions: -- The DELIMITER command is used to change the statement delimiter from ; to // while defining the trigger DELIMITER // CREATE TRIGGER LogNewProduct AFTER INSERT ON Products FOR EACH ROW BEGIN INSERT INTO StockAudit (ProductID, ChangeType, QuantityChanged) VALUES (NEW.ProductID, 'ADD', NEW.Stock); END; // DELIMITER ; How Triggers Operate in a Database Triggers are defined by specifying the event they respond to, the table they act upon, and the SQL statements they execute. When a trigger’s event occurs, the database automatically invokes it, running the associated logic seamlessly. This behavior eliminates the necessity for external application code to maintain consistency. For instance, consider a scenario where we need to prevent negative stock levels in our inventory. We can achieve this with a BEFORE UPDATE trigger that validates the updated stock value: DELIMITER // -- Trigger to prevent negative stock values CREATE TRIGGER PreventNegativeStock BEFORE UPDATE ON Products FOR EACH ROW BEGIN -- Check if the new stock value is less than 0 IF NEW.Stock < 0 THEN -- Raise an error if the stock value is negative SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'Stock cannot be negative'; END IF; END; // DELIMITER ; This guarantees that no changes violating the business rules are applied to the database. Practical Advantages of Using Triggers Triggers offer numerous advantages, such as enforcing business logic directly within the database layer. This ensures that data integrity is preserved across all applications accessing the database, reducing the need for repetitive coding. By centralizing critical logic, triggers simplify maintenance and enhance consistency. For example, a trigger can automate logging of stock adjustments, saving developers from implementing this functionality in multiple application layers. Consider this AFTER UPDATE trigger: DELIMITER // -- Trigger to log stock adjustments after an update on the Products table CREATE TRIGGER LogStockAdjustment AFTER UPDATE ON Products FOR EACH ROW BEGIN -- Insert a record into the StockAudit table with the product ID, change type, and quantity changed INSERT INTO StockAudit (ProductID, ChangeType, QuantityChanged) VALUES (OLD.ProductID, 'ADJUST', NEW.Stock - OLD.Stock); END; // DELIMITER ; This trigger automatically records every stock change, streamlining audit processes and ensuring compliance. Challenges and Considerations While triggers are powerful, they are not without challenges. Debugging triggers can be tricky since they operate at the database level and their effects may not be immediately visible. For example, a misconfigured trigger might inadvertently cause cascading changes or conflicts with other triggers, complicating issue resolution. Performance is another critical consideration. Triggers that are not well designed can slow down database operations, especially if they include resource-intensive logic or are triggered frequently. For instance, a trigger performing complex calculations on large datasets can bottleneck critical operations like order processing or stock updates. To mitigate these challenges, it is advisable to: Keep trigger logic concise and efficient. Use triggers sparingly and only for tasks best handled within the database. Test triggers extensively in controlled environments before deployment. Real-World Example: Cascading Triggers Cascading triggers can ensure data integrity across related tables. Consider a database with Orders and OrderDetails tables. When an order is deleted, it is essential to remove all associated details: DELIMITER // -- Trigger to cascade delete order details after a delete on the Orders table CREATE TRIGGER CascadeDeleteOrderDetails AFTER DELETE ON Orders FOR EACH ROW BEGIN -- Delete the corresponding records from the OrderDetails table DELETE FROM OrderDetails WHERE OrderID = OLD.OrderID; END; // DELIMITER ; This ensures that orphaned records are automatically removed, maintaining database consistency without manual intervention. However, cascading triggers require careful documentation to avoid unintended interactions. Optimizing Trigger Performance To prevent performance bottlenecks, triggers should handle minimal logic and avoid intensive operations. For tasks requiring significant processing, consider using scheduled jobs or batch processes instead. For example, instead of recalculating inventory levels on every update, a nightly job could summarize stock levels for reporting purposes. Here’s a simplified trigger that avoids complex calculations: DELIMITER // -- Trigger to log stock changes after an update on the Products table CREATE TRIGGER SimpleStockLog AFTER UPDATE ON Products FOR EACH ROW BEGIN -- Check if the new stock value is different from the old stock value IF NEW.Stock <> OLD.Stock THEN -- Insert a record into the StockAudit table with the product ID, change type, and quantity changed INSERT INTO StockAudit (ProductID, ChangeType, QuantityChanged) VALUES (NEW.ProductID, 'UPDATE', NEW.Stock - OLD.Stock); END IF; END; // DELIMITER ; Conditional Logic and Business Rules Conditional logic within triggers enables dynamic enforcement of business rules. For example, a trigger can adjust discounts based on stock availability: DELIMITER // -- Trigger to adjust discount based on stock levels after an update on the Products table TRIGGER AdjustDiscount AFTER UPDATE ON Products FOR EACH ROW BEGIN -- Check if the new stock value is greater than 100 IF NEW.Stock > 100 THEN -- Set the discount to 10 if the stock is greater than 100 UPDATE Products SET Discount = 10 WHERE ProductID = NEW.ProductID; ELSE -- Set the discount to 0 if the stock is 100 or less UPDATE Products SET Discount = 0 WHERE ProductID = NEW.ProductID; END IF; END; // DELIMITER ; This dynamic adjustment ensures that promotions align with inventory levels. Conclusion SQL triggers are indispensable for automating tasks, enforcing rules, and maintaining data integrity within a database. While they offer significant benefits, their design and implementation require careful consideration to avoid performance issues and unintended consequences. By adhering to best practices, such as keeping triggers simple, testing thoroughly, and documenting dependencies, developers can harness their full potential. Properly implemented triggers can elevate database management, making operations more efficient and reliable. Hostman provides pre-configured and ready-to-use cloud databases, including cloud MySQL.
24 December 2024 · 7 min to read

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