Database Administration Development Tutorials, Guides & Insights
Unlock 5+ expert-curated database administration tutorials, real-world code snippets, and modern dev strategies. From fundamentals to advanced topics, boost your database administration skills on DeveloperBreeze.
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Understanding and Using MySQL Indexes
For example, to create an index on the last_name column of a users table:
CREATE INDEX idx_last_name ON users(last_name);Data Import and Export in MySQL
Importing and exporting data are essential tasks in database management, enabling data transfer between different systems and backup management. MySQL provides several tools and techniques for efficient data import and export. This tutorial will guide you through various methods to handle data in MySQL.
- Basic knowledge of MySQL and SQL operations.
- Access to a MySQL server.
- Familiarity with command-line tools and basic server administration.
How to Monitor MySQL Database Performance
Monitoring MySQL database performance is crucial for maintaining efficient and reliable database operations. By keeping an eye on performance metrics, you can identify bottlenecks, optimize queries, and ensure that your database is running smoothly. This tutorial will cover various tools and techniques for monitoring MySQL performance.
- Basic understanding of MySQL and SQL operations.
- Access to a MySQL server.
- Familiarity with command-line tools and basic server administration.
Managing Transactions and Concurrency in MySQL
In MySQL, transactions are managed using the following commands:
- START TRANSACTION: Begins a new transaction.
- COMMIT: Saves the changes made in the transaction permanently.
- ROLLBACK: Reverts the changes made in the transaction.
Viewing the Database Size and Identifying the Largest Table in MySQL
table_name: The name of each table in the specified database.ORDER BY (data_length + index_length) DESC: Orders the tables by size in descending order, so the largest appears first.LIMIT 1: Limits the result to only the largest table.
This query will output the largest table in the specified database along with its size.