Improving MySQL Efficiency: Tips for Faster Performance（mysql查看效率）

MySQL is the most popular and widespread relational database system and is widely used for critical data storage and operation. As the data size and number of records increases, the efficiency of the system degrades and the system slows down, affecting critical operations and users’ experiences. Improving MySQL efficiency ensures the smoothest operation of the system. The following tips can help you improve MySQL efficiency and optimize MySQL performance.

First, consider proper indexing. Proper indexing of tables is the most important and effective technique of improving MySQL performance. Indexing also avoids unnecessary record lookups, as MySQL can access the data directly instead of scanning multiple records. Indexes should be chosen in accordance with the table structure and query types; heavy column queries should have a composite index while small column queries should have single-column indexes.

Second, avoid using wildcard operators in queries. Wildcard operators produce a large number of queries and those queries slow down the process. For example, using ‘like’ can be replaced by ‘=’ or ‘in’. Omitting the wildcard when needed and using operators like ‘=’, ‘in’, etc., can improve the performance.

Third, optimize query. Queries should be optimized to take advantage of the relational database system and boost performance. Slow queries should be identified and replaced with their more efficient alternatives, while redundant queries and subqueries should be avoided. To optimize query performance, LIMIT can be used instead of retrieving large datasets and SELECT * can be replaced with specific columns.

Fourth, reduce execution time. The runtime environment should be monitored, and aggressive compilation or query optimization should be enabled. MySQL profiling and query optimization features, such as Hint’s SQL_NO_CACHE flag and EXPLAIN EXTENDED statements, can be used to reduce the query execution time. Further, big results should not be kept in memory; instead, it should be stored in an external file and retrieved as needed.

Fifth, use the server’s in-memory capabilities. MySQL has a variety of in-memory capabilities that can be used to improve performance. For example, the ‘read ahead’ function allows MySQL to pre-fetch data and reduce computation time. Similarly, query caches can be used to reduce IO wait time and achieve better efficiency. Additionally, the predictive caching feature can be used to predict and speed up subsequent queries.

By following the aforementioned tips, you can improve the efficiency of your MySQL system. Joining the right indexes, optimizing queries, and utilizing the server’s in-memory capabilities can help boost MySQL performance and optimize the user experience.