MySQL高性能實現Canal數據同步神器

-- 給canal單獨創建用戶 用戶名：canal 密碼：123456
create user 'canal'@'%' identified by '123456';
-- 授權隻能查詢 *.*表示所有庫
grant SELECT, REPLICATION SLAVE, REPLICATION CLIENT on *.* to 'canal'@'%' identified by '123456';

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

[mysqld]
# 服務器id(一般都配置成服務器IP)
server_id=156
# 開啟日志文件
log-bin=mysql-bin
# 選擇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版本後會自動生成slaveId，所以可以不用配置
# canal.instance.mysql.slaveId=0

# 數據庫地址
canal.instance.master.address=192.168.126.156:3306
# binlog日志名稱
canal.instance.master.journal.name=mysql-bin.000007
# mysql主庫鏈接時起始的binlog偏移量
canal.instance.master.position=154
# mysql主庫鏈接時起始的binlog的時間戳
canal.instance.master.timestamp=
canal.instance.master.gtid=

# username/password
# 在MySQL服務器授權的賬號密碼
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 .*\\..*表示監聽所有表 也可以寫具體的表名，用，隔開
canal.instance.filter.regex=.*\\..*
# mysql 數據解析表的黑名單，多個表用，隔開
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;

/**
 * canal 測試
 * @author terry
 * @version 1.0
 * @date 2022/5/14 22:19
 */
public class CanalTest {
    public static void main(String[] args) {

        // 創建鏈接
        CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.126.156", 11111), "example", "", "");
        try {
            //打開連接
            connector.connect();
            //訂閱數據庫表,全部表
            connector.subscribe(".*\\..*");
            //回滾到未進行ack的地方，下次fetch的時候，可以從最後一個沒有ack的地方開始拿
            connector.rollback();
            while (true) {
                // 獲取指定數量的數據
                Message message = connector.getWithoutAck(100);
                //獲取批量ID
                long batchId = message.getId();
                //獲取批量的數量
                int size = message.getEntries().size();
                //如果沒有數據
                if (batchId == -1 || size == 0) {
                    System.out.println("等待數據中...");
                    try {
                        //線程休眠2秒
                        Thread.sleep(2000);
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                } else {
                    //如果有數據,處理數據
                    printEntry(message.getEntries());
                }
                //進行 batch id 的確認。確認之後，小於等於此 batchId 的 Message 都會被確認。
                connector.ack(batchId);
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            connector.disconnect();
        }
    }
    /**
     * 打印canal server解析binlog獲得的實體類信息
     */
    private static void printEntry(List<Entry> entrys) {
        for (Entry entry : entrys) {
            if (entry.getEntryType() == TRANSACTIONBEGIN || entry.getEntryType() == EntryType.TRANSACTIONEND) {
                //開啟/關閉事務的實體類型，跳過
                continue;
            }
            //RowChange對象，包含瞭一行數據變化的所有特征
            //比如isDdl 是否是ddl變更操作 sql 具體的ddl sql beforeColumns afterColumns 變更前後的數據字段等等
            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);
            }
            //獲取操作類型：insert/update/delete類型
            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));
            //判斷是否是DDL語句
            if (rowChage.getIsDdl()) {
                System.out.println("================》;isDdl: true,sql:" + rowChage.getSql());
            }
            //獲取RowChange對象裡的每一行數據，打印出來
            for (RowData rowData : rowChage.getRowDatasList()) {
                //如果是刪除語句
                if (eventType == EventType.DELETE) {
                    printColumn(rowData.getBeforeColumnsList());
                    //如果是新增語句
                } else if (eventType == EventType.INSERT) {
                    printColumn(rowData.getAfterColumnsList());
                    //如果是更新的語句
                } else {
                    //變更前的數據
                    System.out.println("------->; before");
                    printColumn(rowData.getBeforeColumnsList());
                    //變更後的數據
                    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());
        }
    }
}