MySQL高性能实现Canal数据同步神器

-- 给canal单独创建用户 用户名：canal 密码：123456
create user 'canal'@'%' identified by '123456';
-- 授权只能查询 *.*表示所有库
grant SELECT, REPLICATioN SLAVE, REPLICATION CLIENT on *.* to 'canal'@'%' identified by '123456';

vim /etc/mysql/conf.d/my.cnf

[mysqld]
# 服务器id(一般都配置成服务器IP)
server_id=156
# 开启日志文件
log-bin=mysql-bin
# 选择ROW(行)模式
binlog-fORMat=ROW

SHOW MASTER STATUS;

wget https://github.com/alibaba/canal/releases/download/canal-1.1.5/canal.deployer-1.1.5.tar.gz

tar -xvf canal.deployer-1.1.5.tar.gz

## mySQL ServerId , v1.0.26+ will autoGen
## v1.0.26版本后会自动生成slaveId，所以可以不用配置
# canal.instance.mysql.slaveId=0

# 数据库地址
canal.instance.master.address=192.168.126.156:3306
# binlog日志名称
canal.instance.master.journal.name=mysql-bin.000007
# mysql主库链接时起始的binlog偏移量
canal.instance.master.position=154
# mysql主库链接时起始的binlog的时间戳
canal.instance.master.timestamp=
canal.instance.master.gtid=

# username/passWord
# 在MySQL服务器授权的账号密码
canal.instance.dbUsername=canal
canal.instance.dbPassword=123456
# 字符集
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false

# table regex .*\\..*表示监听所有表 也可以写具体的表名，用，隔开
canal.instance.filter.regex=.*\\..*
# mysql 数据解析表的黑名单，多个表用，隔开
canal.instance.filter.black.regex=

./bin/startup.sh

[root@localhost canal]# jps
7472 Jps
5371 CanalLauncher

<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.client</artifactId>
    <version>1.1.4</version>
</dependency>

package com.terry.test;

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 static com.alibaba.otter.canal.protocol.CanalEntry.*;
import static com.alibaba.otter.canal.protocol.CanalEntry.EntryType.TRANSACTIONBEGIN;

import java.net.InetSocketAddress;
import java.util.List;


public class CanalTest {
    public static void main(String[] args) {

        // 创建链接
        CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.126.156", 11111), "example", "", "");
        try {
            //打开连接
            connector.connect();
            //订阅数据库表,全部表
            connector.subscribe(".*\\..*");
            //回滚到未进行ack的地方，下次fetch的时候，可以从最后一个没有ack的地方开始拿
            connector.rollback();
            while (true) {
                // 获取指定数量的数据
                Message message = connector.getWithoutAck(100);
                //获取批量ID
                long BATchId = message.getId();
                //获取批量的数量
                int size = message.getEntries().size();
                //如果没有数据
                if (batchId == -1 || size == 0) {
                    System.out.println("等待数据中...");
                    try {
                        //线程休眠2秒
                        Thread.sleep(2000);
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                } else {
                    //如果有数据,处理数据
                    printEntry(message.getEntries());
                }
                //进行 batch id 的确认。确认之后，小于等于此 batchId 的 Message 都会被确认。
                connector.ack(batchId);
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            connector.disconnect();
        }
    }
    
    private static void printEntry(List<Entry> entrys) {
        for (Entry entry : entrys) {
            if (entry.getEntryType() == TRANSACTIONBEGIN || entry.getEntryType() == EntryType.TRANSACTIONEND) {
                //开启/关闭事务的实体类型，跳过
                continue;
            }
            //RowChange对象，包含了一行数据变化的所有特征
            //比如isDdl 是否是ddl变更操作 sql 具体的ddl sql beforeColumns afterColumns 变更前后的数据字段等等
            RowChange rowChage;
            try {
                rowChage = RowChange.parseFrom(entry.getStoreValue());
            } catch (Exception e) {
                throw new RuntimeException("ERROR ## parser of eromanga-event has an error , data:" + entry.toString(), e);
            }
            //获取操作类型：insert/update/delete类型
            EventType eventType = rowChage.getEventType();
            //打印Header信息
            System.out.println(String.format("================》; binlog[%s:%s] , name[%s,%s] , eventType : %s",
                    entry.getHeader().getLogfileName(), entry.getHeader().getLogfileOffset(),
                    entry.getHeader().getSchemaName(), entry.getHeader().getTableName(),
                    eventType));
            //判断是否是DDL语句
            if (rowChage.getIsDdl()) {
                System.out.println("================》;isDdl: true,sql:" + rowChage.getSql());
            }
            //获取RowChange对象里的每一行数据，打印出来
            for (RowData rowData : rowChage.getRowDatasList()) {
                //如果是删除语句
                if (eventType == EventType.DELETE) {
                    printColumn(rowData.getBeforeColumnsList());
                    //如果是新增语句
                } else if (eventType == EventType.INSERT) {
                    printColumn(rowData.getAfterColumnsList());
                    //如果是更新的语句
                } else {
                    //变更前的数据
                    System.out.println("------->; before");
                    printColumn(rowData.getBeforeColumnsList());
                    //变更后的数据
                    System.out.println("------->; after");
                    printColumn(rowData.getAfterColumnsList());
                }
            }
        }
    }

    private static void printColumn(List<CanalEntry.Column> columns) {
        for (CanalEntry.Column column : columns) {
            System.out.println(column.getName() + " : " + column.getValue() + "    update=" + column.getUpdated());
        }
    }
}