Table of Contents
1. Understand the MySQL master-slave replication mechanism
2. Several ways to achieve reading and writing separation
Application layer implementation
Middleware proxy implementation
ORM framework support
3. Precautions and optimization suggestions
Home Database Mysql Tutorial Implementing MySQL Read-Write Splitting for Performance

Implementing MySQL Read-Write Splitting for Performance

Aug 05, 2025 am 06:47 AM

MySQL read and write separation reduces the load on the master library and improves performance by distributing read requests to the slave library. 1. Reading and writing separation depends on the master-slave replication mechanism. The master library processes write operations and records binlog. The slave library plays the log synchronizes data. Pay attention to the delay and consistency issues; 2. The implementation methods include application-level manual routing, middleware proxy (such as MyCat, ProxySQL) and ORM framework support, each with its advantages and disadvantages; 3. Precautions include avoiding dirty reads, reasonably managing connection pools, monitoring master-slave delays, reasonably allocating read requests and conducting sufficient tests and verification to ensure data consistency and system stability.

Implementing MySQL Read-Write Splitting for Performance

MySQL's read and write separation can effectively alleviate database pressure and improve overall performance. Especially when there are far more read operations in your application than write operations, by spreading read requests across multiple slave libraries, the load on the master library can be significantly reduced.

Implementing MySQL Read-Write Splitting for Performance

1. Understand the MySQL master-slave replication mechanism

To achieve read and write separation, you must first understand and configure the master-slave replication of MySQL. The master library is responsible for processing write requests, while one or more slave libraries synchronize the master library's data through a replication mechanism and process read requests.

  • Master-slave replication is based on binary logs (binlogs). The master library records all operations that change data, and the slave library replays these operations to keep the data consistent.
  • Pay attention to monitoring and recovery of network latency, data consistency, and replication errors when configuring.
  • A common problem is master-slag delay (lag), which can cause old data to be read. The delay level can be controlled through asynchronous, semi-synchronous, etc.

2. Several ways to achieve reading and writing separation

Read and write separation can be implemented at multiple levels, and choosing the right way depends on your architecture and needs.

Implementing MySQL Read-Write Splitting for Performance

Application layer implementation

Manually route requests based on SQL type in the code. For example:

  • Write operations (INSERT, UPDATE, DELETE) are sent to the main library;
  • Read operations (SELECT) are sent to the slave library;
  • Special queries such as read operations involving transactions or strong consistency requirements still go to the main library.

The advantage is flexibility and controllability, while the disadvantage is that it is high maintenance costs and prone to errors.

Implementing MySQL Read-Write Splitting for Performance

Middleware proxy implementation

Use middleware such as MyCat, MaxScale, and ProxySQL to automatically judge SQL and forward requests.

  • No need to modify the business code;
  • Supports advanced functions such as failover and load balancing;
  • But it increases deployment complexity and potential single point failure risk.

ORM framework support

Some frameworks (such as Laravel, Django, Sequelize) have built-in multi-database connection support, and can configure read and write separation.

  • Simple configuration, suitable for small and medium-sized projects;
  • It may not be flexible enough to deal with complex query scenarios.

3. Precautions and optimization suggestions

Although read and write separation improves performance, it also brings some issues that need attention:

  • Avoid dirty reading : In some scenarios, unupdated data may be read due to master-slave delays. You can avoid it by "reading and writing session binding" (such as reading and going to the main library for a period of time after writing).
  • Connection pool management : Ensure that master-slave connections are managed separately to avoid performance degradation due to connection confusion.
  • Monitoring and Alarm : Set master-slave delay monitoring to detect synchronization abnormalities in a timely manner.
  • Reasonably allocate read requests : Not all SELECTs are suitable for queries that require high real-time queries.
  • Test verification : Be sure to conduct sufficient tests before going online to ensure that the logic is correct and there will be no problems caused by inconsistent data.

Basically that's it. It is not too difficult to implement, but the quality of details directly affects the effect.

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