当前位置：网站首页>canal同步Mariadb到Mysql

canal同步Mariadb到Mysql

2022-08-02 02:21:00 【莫名其妙的忧伤】

文章目录

前言

使用场景：需要监听一个数据库中数据有改变，同步到另外一个数据库中。所以尝试使用了canal
Mariadb同步到mysql。Mariadb安装在win，mysql安装在linux

一、开启Mariadb的binlog

1.检查binlog是否开启

  • 执行下面命令
show variables like 'log_bin';

在这里插入图片描述
如果没有打开显示 O F F \color{#FF0000}{如果没有打开显示OFF} 如果没有打开显示OFF

2.开启binlog

  • 修改配置文件D:\EZAccess\Server\mariadb-5.5.64-winx64\my-huge.ini，在mysqld下面添加
    log-bin=mysql-bin      #binlog文件名
binlog_format=ROW      #选择row模式
server_id=1            #mysql实例id,不能和canal的slaveId重复
    在这里插入图片描述

3.重启服务

  • 在D:\EZAccess\Server\service_restart.bat

4.查看

  • 再次执行，显示ON 即可；
    show variables like 'log_bin';

二、下载canal服务

1.下载地址

canal

2.解压

3.修改配置文件

  • 修改conf/example/instance.properties
    #需要改成自己的数据库信息
canal.instance.master.address=10.10.0.9:3306

#需要改成自己的数据库用户名与密码

canal.instance.dbUsername=canal
canal.instance.dbPassword=canal

#需要改成同步的数据库表规则，例如只是同步一下表
canal.instance.filter.regex=.*\\..*  #表示同步所有
#canal.instance.filter.regex=guli_ucenter.ucenter_member #表示同步guli_ucenter中的ucenter_member表

4.启动

bin/startup.sh

5.注意

这里会有启动不成功的问题。一直在怀疑是自己的参数配置错了。检查了好几遍。后来发现必须要有 j a v a 环境 \color{#FF0000}{java环境} java环境
需要安装JDK，配置环境变量

三.客户端模块

1.引入依赖

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>

    <!--mysql-->
    <dependency>
        <groupId>mysql</groupId>
        <artifactId>mysql-connector-java</artifactId>
    </dependency>

    <dependency>
        <groupId>commons-dbutils</groupId>
        <artifactId>commons-dbutils</artifactId>
    </dependency>

    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-jdbc</artifactId>
    </dependency>

    <dependency>
        <groupId>com.alibaba.otter</groupId>
        <artifactId>canal.client</artifactId>
    </dependency>
</dependencies>

2.创建监听

import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.protocol.CanalEntry.*;
import com.alibaba.otter.canal.protocol.Message;
import com.google.protobuf.InvalidProtocolBufferException;
import org.apache.commons.dbutils.DbUtils;
import org.apache.commons.dbutils.QueryRunner;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;
import javax.sql.DataSource;
import java.net.InetSocketAddress;
import java.sql.Connection;
import java.sql.SQLException;
import java.util.Iterator;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;

@Component
public class CanalClient {
    

    //sql队列
    private Queue<String> SQL_QUEUE = new ConcurrentLinkedQueue<>();

    @Resource
    private DataSource dataSource;

    /** * canal入库方法 */
    public void run() {
    

        CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.44.132",
                11111), "example", "", "");
        int batchSize = 1000;
        try {
    
            connector.connect();
            connector.subscribe(".*\\..*");
            connector.rollback();
            try {
    
                while (true) {
    
                    //尝试从master那边拉去数据batchSize条记录，有多少取多少
                    Message message = connector.getWithoutAck(batchSize);
                    long batchId = message.getId();
                    int size = message.getEntries().size();
                    if (batchId == -1 || size == 0) {
    
                        Thread.sleep(1000);
                    } else {
    
                        dataHandle(message.getEntries());
                    }
                    connector.ack(batchId);

                    //当队列里面堆积的sql大于一定数值的时候就模拟执行
                    if (SQL_QUEUE.size() >= 1) {
    
                        executeQueueSql();
                    }
                }
            } catch (InterruptedException e) {
    
                e.printStackTrace();
            } catch (InvalidProtocolBufferException e) {
    
                e.printStackTrace();
            }
        } finally {
    
            connector.disconnect();
        }
    }

    /** * 模拟执行队列里面的sql语句 */
    public void executeQueueSql() {
    
        int size = SQL_QUEUE.size();
        for (int i = 0; i < size; i++) {
    
            String sql = SQL_QUEUE.poll();
            System.out.println("[sql]----> " + sql);

            this.execute(sql.toString());
        }
    }

    /** * 数据处理 * * @param entrys */
    private void dataHandle(List<Entry> entrys) throws InvalidProtocolBufferException {
    
        for (Entry entry : entrys) {
    
            if (EntryType.ROWDATA == entry.getEntryType()) {
    
                RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());
                EventType eventType = rowChange.getEventType();
                if (eventType == EventType.DELETE) {
    
                    saveDeleteSql(entry);
                } else if (eventType == EventType.UPDATE) {
    
                    saveUpdateSql(entry);
                } else if (eventType == EventType.INSERT) {
    
                    saveInsertSql(entry);
                }
            }
        }
    }

    /** * 保存更新语句 * * @param entry */
    private void saveUpdateSql(Entry entry) {
    
        try {
    
            RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());
            List<RowData> rowDatasList = rowChange.getRowDatasList();
            for (RowData rowData : rowDatasList) {
    
                List<Column> newColumnList = rowData.getAfterColumnsList();
                StringBuffer sql = new StringBuffer("update " + entry.getHeader().getTableName() + " set ");
                for (int i = 0; i < newColumnList.size(); i++) {
    
                    sql.append(" " + newColumnList.get(i).getName()
                            + " = '" + newColumnList.get(i).getValue() + "'");
                    if (i != newColumnList.size() - 1) {
    
                        sql.append(",");
                    }
                }
                sql.append(" where ");
                List<Column> oldColumnList = rowData.getBeforeColumnsList();
                for (Column column : oldColumnList) {
    
                    if (column.getIsKey()) {
    
                        //暂时只支持单一主键
                        sql.append(column.getName() + "=" + column.getValue());
                        break;
                    }
                }
                SQL_QUEUE.add(sql.toString());
            }
        } catch (InvalidProtocolBufferException e) {
    
            e.printStackTrace();
        }
    }

    /** * 保存删除语句 * * @param entry */
    private void saveDeleteSql(Entry entry) {
    
        try {
    
            RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());
            List<RowData> rowDatasList = rowChange.getRowDatasList();
            for (RowData rowData : rowDatasList) {
    
                List<Column> columnList = rowData.getBeforeColumnsList();
                StringBuffer sql = new StringBuffer("delete from " + entry.getHeader().getTableName() + " where ");
                for (Column column : columnList) {
    
                    if (column.getIsKey()) {
    
                        //暂时只支持单一主键
                        sql.append(column.getName() + "=" + column.getValue());
                        break;
                    }
                }
                SQL_QUEUE.add(sql.toString());
            }
        } catch (InvalidProtocolBufferException e) {
    
            e.printStackTrace();
        }
    }

    /** * 保存插入语句 * * @param entry */
    private void saveInsertSql(Entry entry) {
    
        try {
    
            RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());
            List<RowData> rowDatasList = rowChange.getRowDatasList();
            for (RowData rowData : rowDatasList) {
    
                List<Column> columnList = rowData.getAfterColumnsList();
                StringBuffer sql = new StringBuffer("insert into " + entry.getHeader().getTableName() + " (");
                for (int i = 0; i < columnList.size(); i++) {
    
                    sql.append(columnList.get(i).getName());
                    if (i != columnList.size() - 1) {
    
                        sql.append(",");
                    }
                }
                sql.append(") VALUES (");
                for (int i = 0; i < columnList.size(); i++) {
    
                    sql.append("'" + columnList.get(i).getValue() + "'");
                    if (i != columnList.size() - 1) {
    
                        sql.append(",");
                    }
                }
                sql.append(")");
                SQL_QUEUE.add(sql.toString());
            }
        } catch (InvalidProtocolBufferException e) {
    
            e.printStackTrace();
        }
    }

    /** * 入库 * @param sql */
    public void execute(String sql) {
    
        Connection con = null;
        try {
    
            if(null == sql) return;
            con = dataSource.getConnection();
            QueryRunner qr = new QueryRunner();
            int row = qr.execute(con, sql);
            System.out.println("update: "+ row);
        } catch (SQLException e) {
    
            e.printStackTrace();
        } finally {
    
            DbUtils.closeQuietly(con);
        }
    }
}

3.修改启动类

@SpringBootApplication
public class CanalApplication implements CommandLineRunner {
    
    @Resource
    private CanalClient canalClient;

    public static void main(String[] args) {
    
        SpringApplication.run(CanalApplication.class, args);
    }

    @Override
    public void run(String... strings) throws Exception {
    
        //项目启动，执行canal客户端监听
        canalClient.run();
    }
}

总结

以上就完成了。当Mariadb中数据有变动，客户端会监听到，通过sql插入需要同步的数据库。

原网站

版权声明
本文为[莫名其妙的忧伤]所创，转载请带上原文链接，感谢
https://blog.csdn.net/qq_35909525/article/details/126104970

边栏推荐

猜你喜欢

随机推荐