Sql Programming Tutorials, Guides & Best Practices

This MySQL cheatsheet provides a comprehensive overview of the most commonly used MySQL commands, complete with examples to help you quickly find the information you need. Whether you're creating and managing databases, writing queries, or handling transactions, this guide serves as a quick reference to help you work more efficiently with MySQL.

To import data from a SQL file, use the mysql command-line tool to execute the SQL statements contained in the file.

Use the following command to import a database from a SQL file:

While indexes improve read performance, they can slow down write operations (INSERT, UPDATE, DELETE). Only create indexes on columns that benefit the most from indexing.

The EXPLAIN command provides insights into how MySQL executes a query. It helps identify performance bottlenecks and areas for improvement.

• Keep transactions short to reduce the risk of deadlocks and improve performance.
• Use the appropriate isolation level based on your application’s consistency and performance requirements.
• Regularly monitor and optimize your queries to minimize lock contention.

By understanding and effectively managing transactions and concurrency in MySQL, you can ensure data integrity and consistency while maintaining optimal performance in your applications. This tutorial covered the basics of transactions, isolation levels, and concurrency control, providing a foundation for more advanced database management practices.

To identify the largest table in terms of size within a specific database, use a similar query but without the grouping. Instead, order by size and limit the result to find the largest table:

SELECT table_name AS "Table",
       ROUND((data_length + index_length) / 1024 / 1024, 2) AS "Size (MB)"
FROM information_schema.tables
WHERE table_schema = 'your_database_name'
ORDER BY (data_length + index_length) DESC
LIMIT 1;