MySQL Cheatsheet

Database management in MySQL includes creating, selecting, dropping, and showing databases, as well as backing up and restoring database data.

Table operations in MySQL include creating, altering, dropping, and managing table structures. These operations are essential for defining and modifying the schema of your database.

Data manipulation in MySQL involves operations for inserting, updating, deleting, and querying data. These operations form the core of database interaction, allowing you to manage the data stored in your tables.

MySQL supports various data types for storing different kinds of values. Understanding data types is essential for proper database design, optimal storage, and efficient queries.

Joins in MySQL allow you to combine rows from two or more tables based on a related column. Different join types determine which records are included in the result set, enabling complex data retrieval across related tables.

Indexes in MySQL improve query performance by allowing the database engine to find rows quickly without scanning the entire table. They're essential for optimizing queries but add overhead to data modification operations.

MySQL functions transform data, perform calculations, and manipulate values. They include string manipulation, numeric operations, date handling, aggregation, and more advanced functions like window functions and control flow operations.

Subqueries are queries nested within another query. They allow you to use the results of one query as part of another query. Subqueries can be used in SELECT, WHERE, FROM, and HAVING clauses to create more complex and powerful queries.

Transactions in MySQL allow you to group multiple SQL statements into a single logical unit of work. They ensure data integrity by following ACID properties: Atomicity, Consistency, Isolation, and Durability. Transactions either complete entirely or have no effect if rolled back.

Views in MySQL are virtual tables based on the result of a SELECT query. They provide a way to simplify complex queries, restrict access to specific data, and present data in a more user-friendly format without storing the data itself.

Stored procedures are SQL code that can be saved and reused. They can accept parameters, perform complex operations, and return results. Stored procedures improve performance, security, and code maintainability.

Triggers are database objects that automatically execute in response to specific events on a table, such as INSERT, UPDATE, or DELETE operations. They can execute BEFORE or AFTER these events and can operate at the row or statement level.

User management in MySQL involves creating and managing database users, assigning privileges, and controlling access to database resources. Proper user management is essential for database security.

Performance optimization in MySQL involves techniques to improve query speed, database responsiveness, and overall system efficiency. This includes query optimization, indexing strategies, server configuration, and monitoring tools.

Common patterns in MySQL include techniques for handling pagination, full-text search, hierarchical data, pivot tables, dynamic SQL, and batch processing. These patterns help solve recurring database challenges in application development.