Using MySQL to implement multi-master replication of data in Go language

In today's Internet era, high availability of data has become an issue that enterprises must consider, and multi-master replication is one of the common high availability solutions. In this article, we will implement multi-master replication of data through Go language and MySQL.

1. Introduction to MySQL multi-master replication

In traditional database backup, the master database backs up data to the slave database. If the master database goes down, you need to manually switch from the slave database to the master database. . Multi-master replication allows multiple master databases to exist at the same time, which can greatly improve data availability and fault tolerance.

There are many ways to implement multi-master replication, and the most common way is to use the replication function of MySQL. MySQL's replication function can synchronize data between different servers to achieve multi-master replication of data. When a primary server goes down, other servers can automatically switch to the primary server to achieve high availability.

In a replication chain, each server can be a master server or a slave server. The master server will record data updates in the binary log, and then the slave server will read this log to synchronize the data on the master server. In multi-master replication, each master server records its updated data in a binary log, and then other master servers read this log to synchronize their own data.

2. Use of Go language and MySQL

Go language is an open source statically typed language that supports concurrent programming, has efficient performance and concise syntax, and is very suitable for data processing. and network programming.

MySQL is an open source relational database management system that is very popular and supports various operating systems and programming languages. It has great advantages in data storage and processing.

In the Go language, we can use the following code to connect to the MySQL database:

import "database/sql"
import _ "github.com/go-sql-driver/mysql"

db, err := sql.Open("mysql", "user:password@tcp(127.0.0.1:3306)/dbname")
if err != nil {
    panic(err.Error())
}
defer db.Close()

Next, we can use the replication function of MySQL to achieve multi-master replication of data. The specific steps are as follows:

1. Create multiple master servers and configure them as master-slave replication chains.
2. Each master server records its updated data in the binary log.
3. Write a program using Go language to monitor the binary logs of all main servers and write the read data into the database.
4. When a main server goes down, other main servers will automatically switch to the main server. At this time, we need to switch the database in the program to connect to the new main server.
5. When the downed master server recovers, we need to re-add it to the master-slave replication chain.

3. Go program to implement multi-master replication

The core code to implement multi-master replication in Go language is as follows:

import (
    "fmt"
    "database/sql"
    _ "github.com/go-sql-driver/mysql"
    "github.com/siddontang/go-mysql/replication"
)

func main() {
    config := replication.BinlogSyncerConfig{
        ServerID: 100,
        Flavor: "mysql",
        Host: "127.0.0.1",
        Port: 3306,
        User: "root",
        Password: "",
    }

    streamer, err := replication.NewBinlogSyncer(config)
    if err != nil {
        fmt.Println("failed to create streamer:", err)
        return
    }

    for {
        ev, err := streamer.GetEvent(context.Background())
        if err != nil {
            fmt.Println("failed to get event:", err)
            continue
        }

        switch ev.Header.EventType {
        case replication.WRITE_ROWS_EVENTv0, replication.WRITE_ROWS_EVENTv1, replication.WRITE_ROWS_EVENTv2,
            replication.UPDATE_ROWS_EVENTv0, replication.UPDATE_ROWS_EVENTv1, replication.UPDATE_ROWS_EVENTv2,
            replication.DELETE_ROWS_EVENTv0, replication.DELETE_ROWS_EVENTv1, replication.DELETE_ROWS_EVENTv2:
            handleRowsEvent(ev)
        }
    }
}

func handleRowsEvent(ev *replication.BinlogEvent) {
    e := ev.Event.(*replication.RowsEvent)

    for _, row := range e.Rows {
        // save the row to database
    }
}

This code uses github .com/siddontang/go-mysql library to monitor the MySQL binary log. When a relevant event occurs, the handleRowsEvent function will be executed to write the data to the database.

4. Summary

This article introduces the use of MySQL in Go language to implement multi-master replication of data to improve data availability and fault tolerance. During the implementation process, we used the replication function of MySQL and the concurrent programming features of the Go language. The code is concise and efficient, and is easy to expand and maintain. In actual use, issues such as data consistency and reliability of the database also need to be considered, and more in-depth research and optimization are required.

The above is the detailed content of Using MySQL to implement multi-master replication of data in Go language. For more information, please follow other related articles on the PHP Chinese website!