How to realize MySQL underlying optimization: application and optimization strategies of caching mechanism

How to realize the underlying optimization of MySQL: application and optimization strategy of caching mechanism

Introduction:
MySQL is one of the most popular relational database management systems in the world , widely used in various business systems. However, with the growth of data volume and the complexity of business, MySQL's performance problems in high-concurrency scenarios have become increasingly significant. In order to improve the performance of the MySQL database, we can take a series of optimization measures, of which the caching mechanism is a crucial part. This article will explore how to implement the underlying caching mechanism of MySQL and provide some optimization strategies and specific code examples.

1. Principle of caching mechanism
The caching mechanism improves the access speed of the database by loading data into memory and reducing read and write operations on the disk. MySQL's caching mechanism mainly includes query cache and InnoDB buffer pool.

1. Query caching
   Query caching refers to caching query results into memory. When there is the same query request next time, the results can be obtained directly from the cache without executing the actual query. operate. Query caching mainly uses query statements as keys and query results as values ​​for caching.

MySQL’s query cache function is enabled by default and can be turned on and off through the following configuration:

query_cache_type = on
query_cache_size = 64M

However, in high concurrency situations, query cache may cause Some performance issues. For example, when there are a large number of write operations, because the write operations will cause the query cache to become invalid, MySQL needs to update the cache frequently, thus affecting the performance of the system. Therefore, in actual applications, we need to decide whether to enable query caching based on specific business scenarios.

2. InnoDB Buffer Pool
   InnoDB buffer pool refers to caching frequently accessed data and indexes on disk into memory to avoid frequent disk read and write operations. The InnoDB buffer pool is mainly cached in units of pages. The cached pages include data pages, index pages and other control information pages.

The size of the InnoDB buffer pool is specified through the configuration parameter innodb_buffer_pool_size. Generally speaking, it is more appropriate to set the size of the InnoDB buffer pool to 70%~80% of physical memory.

2. Application examples of caching mechanism
Below we will use a specific code example to show how to use the caching mechanism to optimize the access performance of the MySQL database.

1. Query cache example
   Assume we have a user information table users, the table structure is as follows:

   CREATE TABLE users (
     id INT PRIMARY KEY,
     name VARCHAR(50),
     age INT
   );

We can use the following code to Query user information and use query cache:

SELECT * FROM users WHERE id = 1;
SELECT SQL_CACHE * FROM users WHERE id = 1;
SELECT SQL_NO_CACHE * FROM users WHERE id = 1;

The first SQL statement will query user information directly from the database without using query cache. The second SQL statement uses the SQL_CACHE keyword, indicating that the query needs to use the query cache. The third SQL statement uses the SQL_NO_CACHE keyword, indicating that the query does not use the query cache.

2. InnoDB Buffer Pool Example
   Suppose we want to query the user information with id 1 in the user information table, we can use the following code:

   SELECT * FROM users WHERE id = 1;

If the data for this page has been cached in the InnoDB buffer pool, MySQL will obtain the data directly from the buffer pool without performing a disk read operation, thereby improving query performance.

3. Optimization strategies of caching mechanism
In addition to using the caching mechanism that comes with MySQL, we can also adopt some optimization strategies to further improve the effect of caching.

1. Reasonable use of cache invalidation strategy
   When the cache hit rate is low, you can consider adjusting the cache invalidation strategy. Generally, you can set an appropriate expiration time. When this time is exceeded, the cache will be automatically cleared to avoid expired data in the cache.
2. Set the buffer pool size reasonably
   For the InnoDB buffer pool, it is more appropriate to set its size to 70%~80% of the physical memory. A buffer pool that is too small may cause frequent disk reads and writes, while a buffer pool that is too large may cause excessive memory usage.
3. Avoid frequent cache update operations
   For scenarios where write operations are frequent, you can consider disabling the query cache to avoid frequent cache update operations. Query caching can be disabled by setting query_cache_type = off.

Conclusion:
MySQL’s caching mechanism is an important means to improve database performance. By rationally using the query cache and InnoDB buffer pool, and adopting some optimization strategies, we can further optimize the underlying performance of MySQL and improve the access speed of the system. Of course, in practical applications, we also need to choose appropriate optimization strategies based on specific business scenarios.

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