docker安装Canal-v1.1.7

1、前期准备

1.1 配置binlog日志

前期检查：mysql是否开启了binlog日志

SHOW VARIABLES LIKE '%log_bin%';

如果为OFF，则需要配置开启。

对于MySQL , 需要先开启 Binlog 写入功能，配置 binlog-format 为 ROW 模式，my.cnf 中配置如下

# 源码安装的位置
$ vim /etc/my.cnf
# docker安装mysql挂载的位置
$ cd /app/docker/mysql/standalone/conf
$ vim my.cnf

在文件尾部添加如下配置：

# 开启 binlog
log-bin=mysql-bin
# 选择 ROW 模式
binlog-format=ROW
# 配置 MySQL replaction 需要定义，不要和 canal 的 slaveId 重复
server_id=1

注意： 针对阿里云 RDS for MySQL , 默认打开了 binlog , 并且账号默认具有 binlog dump 权限 , 不需要任何权限或者 binlog 设置,可以直接跳过这一步。

重启mysql容器

$ systemctl stop mysqld.service
$ systemctl start mysqld.service
$ docker restart mysql

查看是否开启binlog:

show variables like 'log_bin';

2.Canal原理

MySQL主备复制原理

• MySQL master 将数据变更写入二进制日志( binary log, 其中记录叫做二进制日志事件binary log events，可以通过 show binlog events 进行查看)
• MySQL slave 将 master 的 binary log events 拷贝到它的中继日志(relay log)
• MySQL slave 重放 relay log 中事件，将数据变更反映它自己的数据

Canal 工作原理

• canal 模拟 MySQL slave 的交互协议，伪装自己为 MySQL slave ，向 MySQL master 发送dump 协议
• MySQL master 收到 dump 请求，开始推送 binary log 给 slave (即 canal )
• canal 解析 binary log 对象(原始为 byte 流)

3.Canal安装

3.1 canal-admin安装

1.创建数据库

create database canal_manager;
CREATE USER canal IDENTIFIED BY 'canal';
grant all privileges on canal_manager.* to canal@'%';
flush privileges;

2.canal_manager.sql

CREATE DATABASE /*!32312 IF NOT EXISTS*/ `canal_manager` /*!40100 DEFAULT CHARACTER SET utf8 COLLATE utf8_bin */;

USE `canal_manager`;

SET NAMES utf8;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for canal_adapter_config
-- ----------------------------
DROP TABLE IF EXISTS `canal_adapter_config`;
CREATE TABLE `canal_adapter_config` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `category` varchar(45) NOT NULL,
  `name` varchar(45) NOT NULL,
  `status` varchar(45) DEFAULT NULL,
  `content` text NOT NULL,
  `modified_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Table structure for canal_cluster
-- ----------------------------
DROP TABLE IF EXISTS `canal_cluster`;
CREATE TABLE `canal_cluster` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `name` varchar(63) NOT NULL,
  `zk_hosts` varchar(255) NOT NULL,
  `modified_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Table structure for canal_config
-- ----------------------------
DROP TABLE IF EXISTS `canal_config`;
CREATE TABLE `canal_config` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `cluster_id` bigint(20) DEFAULT NULL,
  `server_id` bigint(20) DEFAULT NULL,
  `name` varchar(45) NOT NULL,
  `status` varchar(45) DEFAULT NULL,
  `content` text NOT NULL,
  `content_md5` varchar(128) NOT NULL,
  `modified_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`),
  UNIQUE KEY `sid_UNIQUE` (`server_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Table structure for canal_instance_config
-- ----------------------------
DROP TABLE IF EXISTS `canal_instance_config`;
CREATE TABLE `canal_instance_config` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `cluster_id` bigint(20) DEFAULT NULL,
  `server_id` bigint(20) DEFAULT NULL,
  `name` varchar(45) NOT NULL,
  `status` varchar(45) DEFAULT NULL,
  `content` text NOT NULL,
  `content_md5` varchar(128) DEFAULT NULL,
  `modified_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`),
  UNIQUE KEY `name_UNIQUE` (`name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Table structure for canal_node_server
-- ----------------------------
DROP TABLE IF EXISTS `canal_node_server`;
CREATE TABLE `canal_node_server` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `cluster_id` bigint(20) DEFAULT NULL,
  `name` varchar(63) NOT NULL,
  `ip` varchar(63) NOT NULL,
  `admin_port` int(11) DEFAULT NULL,
  `tcp_port` int(11) DEFAULT NULL,
  `metric_port` int(11) DEFAULT NULL,
  `status` varchar(45) DEFAULT NULL,
  `modified_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Table structure for canal_user
-- ----------------------------
DROP TABLE IF EXISTS `canal_user`;
CREATE TABLE `canal_user` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `username` varchar(31) NOT NULL,
  `password` varchar(128) NOT NULL,
  `name` varchar(31) NOT NULL,
  `roles` varchar(31) NOT NULL,
  `introduction` varchar(255) DEFAULT NULL,
  `avatar` varchar(255) DEFAULT NULL,
  `creation_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

SET FOREIGN_KEY_CHECKS = 1;

-- ----------------------------
-- Records of canal_user
-- ----------------------------
BEGIN;
INSERT INTO `canal_user` VALUES (1, 'admin', '6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9', 'Canal Manager', 'admin', NULL, NULL, '2019-07-14 00:05:28');
COMMIT;

SET FOREIGN_KEY_CHECKS = 1;

3.创建 canal 目录,编辑 application.yml文件

mkdir -p /app/docker/canal/standalone/canal-admin/{conf,logs}
cd /app/docker/canal/standalone/canal-admin/conf
vim application.yml

文件内容如下:

server:
  port: 8089
spring:
  jackson:
    date-format: yyyy-MM-dd HH:mm:ss
    time-zone: GMT+8

spring.datasource:
  address: 192.168.254.160:3306
  database: canal_manager
  username: canal
  password: canal
  driver-class-name: com.mysql.jdbc.Driver
  url: jdbc:mysql://${spring.datasource.address}/${spring.datasource.database}?useUnicode=true&characterEncoding=UTF-8&useSSL=false
  hikari:
    maximum-pool-size: 30
    minimum-idle: 1

canal:
  adminUser: admin
  adminPasswd: admin

4.启动命令:

docker run  --privileged -p 8089:8089 --privileged=true \
-v /app/docker/canal/standalone/canal-admin/conf:/home/admin/canal-admin/conf \
-v /app/docker/canal/standalone/canal-admin/logs:/home/admin/canal-admin/logs \
-v /app/docker/canal/standalone/canal-admin/conf/application.yml:/home/admin/canal-admin/conf/application.yml \
--name canal-admin \
-d canal/canal-admin:v1.1.7

登录canal-admin，ip为安装主机ip,端口为8089,用户为admin，密码为123456
访问 http://192.168.254.160:8089/，进入 canal-admin 界面。

注：canal_manager.sql 提供的脚本中，canal_user 表提供的默认⽤户名为： canal，密码为：6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9，也就是 SELECT PASSWORD('123456'); 的值
所以登陆 canal-admin 管理平台的⽤户名就是 admin/123456

3.2 canal-server 安装

配置Server方式有2种：

• 第一种是直接手动在管理界面配置
• 第二种是在通过设定配置文件，启动后运行

下面是采用使用第二种方式。

1.编辑挂载文件

#################################################
# tcp bind ip
canal.ip =
# register ip to zookeeper
canal.register.ip =
canal.port = 11111
canal.metrics.pull.port = 11112
# canal instance user/passwd
# canal.user = canal
# canal.passwd = E3619321C1A937C46A0D8BD1DAC39F93B27D4458

# canal admin config
# 填写admin对应的地址
canal.admin.manager = 192.168.254.160:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441
# admin auto register
#canal.admin.register.auto = true
#canal.admin.register.cluster =
# 填写需要注册的name
canal.admin.register.name = canal-server01

canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ
canal.serverMode = tcp
# flush meta cursor/parse position to file
canal.file.data.dir = ${canal.conf.dir}
canal.file.flush.period = 1000
## memory store RingBuffer size, should be Math.pow(2,n)
canal.instance.memory.buffer.size = 16384
## memory store RingBuffer used memory unit size , default 1kb
canal.instance.memory.buffer.memunit = 1024 
## meory store gets mode used MEMSIZE or ITEMSIZE
canal.instance.memory.batch.mode = MEMSIZE
canal.instance.memory.rawEntry = true

## detecing config
canal.instance.detecting.enable = false
#canal.instance.detecting.sql = insert into retl.xdual values(1,now()) on duplicate key update x=now()
canal.instance.detecting.sql = select 1
canal.instance.detecting.interval.time = 3
canal.instance.detecting.retry.threshold = 3
canal.instance.detecting.heartbeatHaEnable = false

# support maximum transaction size, more than the size of the transaction will be cut into multiple transactions delivery
canal.instance.transaction.size =  1024
# mysql fallback connected to new master should fallback times
canal.instance.fallbackIntervalInSeconds = 60

# network config
canal.instance.network.receiveBufferSize = 16384
canal.instance.network.sendBufferSize = 16384
canal.instance.network.soTimeout = 30

# binlog filter config
canal.instance.filter.druid.ddl = true
canal.instance.filter.query.dcl = false
canal.instance.filter.query.dml = false
canal.instance.filter.query.ddl = false
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = false
canal.instance.filter.dml.insert = false
canal.instance.filter.dml.update = false
canal.instance.filter.dml.delete = false

# binlog format/image check
canal.instance.binlog.format = ROW,STATEMENT,MIXED 
canal.instance.binlog.image = FULL,MINIMAL,NOBLOB

# binlog ddl isolation
canal.instance.get.ddl.isolation = false

# parallel parser config
canal.instance.parser.parallel = true
## concurrent thread number, default 60% available processors, suggest not to exceed Runtime.getRuntime().availableProcessors()
#canal.instance.parser.parallelThreadSize = 16
## disruptor ringbuffer size, must be power of 2
canal.instance.parser.parallelBufferSize = 256

# table meta tsdb info
canal.instance.tsdb.enable = true
canal.instance.tsdb.dir = ${canal.file.data.dir:../conf}/${canal.instance.destination:}
canal.instance.tsdb.url = jdbc:h2:${canal.instance.tsdb.dir}/h2;CACHE_SIZE=1000;MODE=MYSQL;
canal.instance.tsdb.dbUsername = canal
canal.instance.tsdb.dbPassword = canal
# dump snapshot interval, default 24 hour
canal.instance.tsdb.snapshot.interval = 24
# purge snapshot expire , default 360 hour(15 days)
canal.instance.tsdb.snapshot.expire = 360

#################################################
######### 		destinations		#############
#################################################
canal.destinations = example
# conf root dir
canal.conf.dir = ../conf
# auto scan instance dir add/remove and start/stop instance
canal.auto.scan = true
canal.auto.scan.interval = 5
# set this value to 'true' means that when binlog pos not found, skip to latest.
# WARN: pls keep 'false' in production env, or if you know what you want.
canal.auto.reset.latest.pos.mode = false

canal.instance.tsdb.spring.xml = classpath:spring/tsdb/h2-tsdb.xml
#canal.instance.tsdb.spring.xml = classpath:spring/tsdb/mysql-tsdb.xml

canal.instance.global.mode = spring
canal.instance.global.lazy = false
canal.instance.global.manager.address = ${canal.admin.manager}
#canal.instance.global.spring.xml = classpath:spring/memory-instance.xml
canal.instance.global.spring.xml = classpath:spring/file-instance.xml
#canal.instance.global.spring.xml = classpath:spring/default-instance.xml

##################################################
######### 	      MQ Properties      #############
##################################################
# aliyun ak/sk , support rds/mq
canal.aliyun.accessKey =
canal.aliyun.secretKey =
canal.aliyun.uid=

canal.mq.flatMessage = true
canal.mq.canalBatchSize = 50
canal.mq.canalGetTimeout = 100
# Set this value to "cloud", if you want open message trace feature in aliyun.
canal.mq.accessChannel = local

canal.mq.database.hash = true
canal.mq.send.thread.size = 30
canal.mq.build.thread.size = 8

##################################################
######### 		     Kafka 		     #############
##################################################
kafka.bootstrap.servers = 127.0.0.1:9092
kafka.acks = all
kafka.compression.type = none
kafka.batch.size = 16384
kafka.linger.ms = 1
kafka.max.request.size = 1048576
kafka.buffer.memory = 33554432
kafka.max.in.flight.requests.per.connection = 1
kafka.retries = 0

kafka.kerberos.enable = false
kafka.kerberos.krb5.file = ../conf/kerberos/krb5.conf
kafka.kerberos.jaas.file = ../conf/kerberos/jaas.conf

# sasl demo
# kafka.sasl.jaas.config = org.apache.kafka.common.security.scram.ScramLoginModule required \\n username=\"alice\" \\npassword="alice-secret\";
# kafka.sasl.mechanism = SCRAM-SHA-512
# kafka.security.protocol = SASL_PLAINTEXT

##################################################
######### 		    RocketMQ	     #############
##################################################
rocketmq.producer.group = test
rocketmq.enable.message.trace = false
rocketmq.customized.trace.topic =
rocketmq.namespace =
rocketmq.namesrv.addr = 127.0.0.1:9876
rocketmq.retry.times.when.send.failed = 0
rocketmq.vip.channel.enabled = false
rocketmq.tag = 

##################################################
######### 		    RabbitMQ	     #############
##################################################
rabbitmq.host =
rabbitmq.virtual.host =
rabbitmq.exchange =
rabbitmq.username =
rabbitmq.password =
rabbitmq.deliveryMode =


##################################################
######### 		      Pulsar         #############
##################################################
pulsarmq.serverUrl =
pulsarmq.roleToken =
pulsarmq.topicTenantPrefix =

启动server命令:

docker run -p 11111:11111 --name canal-server --privileged=true \
-v /app/docker/canal/standalone/canal-server/conf/:/home/admin/canal-server/conf/ \
-d canal/canal-server:v1.1.7

部署完成就可以看到server了,这里的serverip是容器的ip，我们不需要进行修改，修改会导致异常的。当我们需要使用的时候直接填写宿主机ip即可。

创建instance，在Instance 管理里点击新建，输入名称，和选择 server

这里重点说明下:

# mysql集群配置中的serverId概念，需要保证和当前mysql集群中id唯⼀ (v1.1.x版本之后c anal会⾃动⽣成，不需要⼿⼯指定) 
# canal.instance.mysql.slaveId=0 
# mysql主库链接地址 
canal.instance.master.address=mysql地址:port端口
# mysql主库链接时起始的binlog⽂件 
canal.instance.master.journal.name= 
# mysql主库链接时起始的binlog偏移量 
canal.instance.master.position= 
# mysql主库链接时起始的binlog的时间戳 
canal.instance.master.timestamp= 
# mysql数据库帐号(此处的⽤户名和密码为 安装canal#mysql配置相关#创建canal⽤户 这⼀步 创建的⽤户名和密码) 
canal.instance.dbUsername=root 
# mysql数据库密码 
canal.instance.dbPassword=123456
# mysql 数据解析编码 
canal.instance.connectionCharset=UTF-8 
# mysql 数据解析关注的表，Perl正则表达式，即我们需要关注那些库和那些表的binlog数据， 也可以在canal client api中⼿动覆盖 
canal.instance.filter.regex=.*\\..*
# 监听某一个表,比如zmall_goods数据库中的 ad_items 表
#canal.instance.filter.regex=zmall_goods.ad_items
# table black regex 
# mysql 数据解析表的⿊名单，表达式规则⻅⽩名单的规则 ,这里我过滤掉了BASE TABLE，不然启动会报错
canal.instance.filter.black.regex=mysql\\.slave_.*,.*BASE TABLE

完整配置如下:

#################################################
## mysql serverId , v1.0.26+ will autoGen
# canal.instance.mysql.slaveId=0

# enable gtid use true/false
canal.instance.gtidon=false

# position info
canal.instance.master.address=192.168.254.160:3306
canal.instance.master.journal.name=
canal.instance.master.position=
canal.instance.master.timestamp=
canal.instance.master.gtid=

# rds oss binlog
canal.instance.rds.accesskey=
canal.instance.rds.secretkey=
canal.instance.rds.instanceId=

# table meta tsdb info
canal.instance.tsdb.enable=true
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
#canal.instance.tsdb.dbUsername=canal
#canal.instance.tsdb.dbPassword=canal

#canal.instance.standby.address =
#canal.instance.standby.journal.name =
#canal.instance.standby.position =
#canal.instance.standby.timestamp =
#canal.instance.standby.gtid=

# username/password
canal.instance.dbUsername=root
canal.instance.dbPassword=123456
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex
canal.instance.filter.regex=.*\\..*
# table black regex
canal.instance.filter.black.regex=
# table field filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.field=test1.t_product:id/subject/keywords,test2.t_company:id/name/contact/ch
# table field black filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.black.field=test1.t_product:subject/product_image,test2.t_company:id/name/contact/ch

# mq config
canal.mq.topic=example
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#################################################

4.新建sringboot项目简单测试

1.引入依赖

<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.protocol</artifactId>
    <version>1.1.7</version>
    <exclusions>
        <exclusion>
            <groupId>com.alibaba.fastjson2</groupId>
            <artifactId>fastjson2</artifactId>
        </exclusion>
        <exclusion>
            <groupId>com.google.protobuf</groupId>
            <artifactId>protobuf-java</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.client</artifactId>
    <version>1.1.7</version>
</dependency>

2.创建测试类 SimpleCanalClientExample.java

import java.net.InetSocketAddress;
import java.util.List;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.common.utils.AddressUtils;
import com.alibaba.otter.canal.protocol.Message;
import com.alibaba.otter.canal.protocol.CanalEntry.Column;
import com.alibaba.otter.canal.protocol.CanalEntry.Entry;
import com.alibaba.otter.canal.protocol.CanalEntry.EntryType;
import com.alibaba.otter.canal.protocol.CanalEntry.EventType;
import com.alibaba.otter.canal.protocol.CanalEntry.RowChange;
import com.alibaba.otter.canal.protocol.CanalEntry.RowData;

public class SimpleCanalClientExample {
    public static void main(String args[]) {
        // 创建链接
        CanalConnector connector = CanalConnectors.newSingleConnector(
                new InetSocketAddress("192.168.254.160", 11111), "mall", "", "");
        int batchSize = 1000;
        int emptyCount = 0;
        try {
            connector.connect();
            connector.subscribe(".*\\..*");
            connector.rollback();
            int totalEmptyCount = 120;
            while (emptyCount < totalEmptyCount) {
                Message message = connector.getWithoutAck(batchSize); // 获取指定数量的数据
                long batchId = message.getId();
                int size = message.getEntries().size();
                if (batchId == -1 || size == 0) {
                    emptyCount++;
                    System.out.println("empty count : " + emptyCount);
                    try {
                        Thread.sleep(1000);
                    } catch (InterruptedException e) {
                    }
                } else {
                    emptyCount = 0;
                    // System.out.printf("message[batchId=%s,size=%s] \n", batchId, size);
                    printEntry(message.getEntries());
                }
                connector.ack(batchId); // 提交确认
                // connector.rollback(batchId); // 处理失败, 回滚数据
            }
            System.out.println("empty too many times, exit");
        } finally {
            connector.disconnect();
        }
    }

    private static void printEntry(List<Entry> entrys) {
        for (Entry entry : entrys) {
            if (entry.getEntryType() == EntryType.TRANSACTIONBEGIN 
                || entry.getEntryType() == EntryType.TRANSACTIONEND) {
                continue;
            }

            RowChange rowChage = null;
            try {
                rowChage = RowChange.parseFrom(entry.getStoreValue());
            } catch (Exception e) {
                throw new RuntimeException(
                  "ERROR ## parser of eromanga-event has an error , data:" 
                                           + entry.toString(),e);
            }

            EventType eventType = rowChage.getEventType();
            System.out.println(String.format("================&gt; binlog[%s:%s] , name[%s,%s] , eventType : %s",
                    entry.getHeader().getLogfileName(), entry.getHeader().getLogfileOffset(),
                    entry.getHeader().getSchemaName(), entry.getHeader().getTableName(),
                    eventType));

            for (RowData rowData : rowChage.getRowDatasList()) {
                if (eventType == EventType.DELETE) {
                    printColumn(rowData.getBeforeColumnsList());
                } else if (eventType == EventType.INSERT) {
                    printColumn(rowData.getAfterColumnsList());
                } else {
                    System.out.println("-------&gt; before");
                    printColumn(rowData.getBeforeColumnsList());
                    System.out.println("-------&gt; after");
                    printColumn(rowData.getAfterColumnsList());
                }
            }
        }
    }

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

3. 之后去 instance配置的数据库修改数据，查看控制台输出

================> binlog[mysql-bin.000001:18846] , name[zmall_goods,ad_items] , eventType : UPDATE
-------> before
id : 5    update=false
name : ss    update=false
type : 1    update=false
sku_id : 1319051488298889217    update=false
sort : 5    update=false
-------> after
id : 5    update=false
name : zs    update=true
type : 1    update=false
sku_id : 1319051488298889217    update=false
sort : 6    update=true

5.Canal与MQ

5.1 canal配置MQ

通过canal-admin管理界面，进入server管理，修改server配置

canal.properties，里面的配置内容修改只改几个地方

29行:    canal.serverMode = rocketMQ (这里设置了rocketMQ,所以需要配置162行有关的内容，不同选择修改不同地方的配置)
86行:    canal.instance.tsdb.enable = false
127行:   canal.mq.flatMessage = true（flatMessage 为true 生产到mq的消息就是json的, 否则就是protobuf二进制的）

接下来通过UI界面到 Instance管理 新增配置，内容如下

#################################################
## mysql serverId , v1.0.26+ will autoGen
# canal.instance.mysql.slaveId=0

# enable gtid use true/false 是否开启全局事务id
canal.instance.gtidon=false
canal.instance.master.gtid=
 
# position info
# 需要同步binlog的数据库地址及端
canal.instance.master.address=192.168.254.160:3306
# 需要读取的起始的binlog文件
canal.instance.master.journal.name=
# 需要读取的起始的binlog文件的偏移量
canal.instance.master.position=
# 需要读取的起始的binlog的时间戳
canal.instance.master.timestamp=
 
 
# rds oss binlog
canal.instance.rds.accesskey=
canal.instance.rds.secretkey=
canal.instance.rds.instanceId=
 
# table meta tsdb info
# 是否开启table meta的时间序列版本记录功能
canal.instance.tsdb.enable=true
# 存储canal记录表结构日志的数据库jdbc
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
#canal.instance.tsdb.dbUsername=canal
#canal.instance.tsdb.dbPassword=canal
 
#canal.instance.standby.address =
#canal.instance.standby.journal.name =
#canal.instance.standby.position =
#canal.instance.standby.timestamp =
#canal.instance.standby.gtid=
 
# username/password 需要同步binlog的数据库的用户名和密码
canal.instance.dbUsername=root
canal.instance.dbPassword=123456
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==
 
# table regex # mysql 数据解析关注的表，Perl正则表达式， .*\\..*默认所有库所有表
canal.instance.filter.regex=zmall_goods\\.ad_items
# table black regex # 过滤那些不符合要求的table，这些table的数据将不会被解析和传送
canal.instance.filter.black.regex=mysql\\..*,sys\\..*,performance_schema\\..*,information_schema\\..*,seata\\..*,.*\\.undo_log
# table field filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.field=test1.t_product:id/subject/keywords,test2.t_company:id/name/contact/ch
# table field black filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.black.field=test1.t_product:subject/product_image,test2.t_company:id/name/contact/ch
 
# mq config， 要监听的 topic 
canal.mq.topic=test-top
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#################################################

5.2 springboot集成MQ

1.必要依赖

<dependency>
    <groupId>org.apache.rocketmq</groupId>
    <artifactId>rocketmq-spring-boot-starter</artifactId>
    <version>2.3.0</version>
</dependency>
<!-- Canal 相关 -->
<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.protocol</artifactId>
    <version>1.1.7</version>
    <exclusions>
        <exclusion>
            <groupId>com.alibaba.fastjson2</groupId>
            <artifactId>fastjson2</artifactId>
        </exclusion>
        <exclusion>
            <groupId>com.google.protobuf</groupId>
            <artifactId>protobuf-java</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.client</artifactId>
    <version>1.1.7</version>
</dependency>

2.配置文件

spring:
  application:
    name: test-rocket
rocketmq:
  name-server: 192.168.137.150:9876
  producer:
    namespace: dev_namespace
    # 发送同一类消息的设置为同一个group，保证唯一
    group: demo_producer_group
    # 发送消息超时时间，默认3000
    send-message-timeout: 10000
    # 发送消息失败重试次数，默认2
    retryTimesWhenSendFailed: 2
    # 异步消息重试此处，默认2
    retryTimesWhenSendAsyncFailed: 2
    # 消息最大长度，默认1024 * 1024 * 4(默认4M)
    maxMessageSize: 4096
    # 压缩消息阈值，默认4k(1024 * 4)
    compressMessageBodyThreshold: 4096
    # 是否在内部发送失败时重试另一个broker，默认false
    retryNextServer: false
  consumer:
    namespace: dev_namespace
    #group: demo_consumer_group
    # 一次拉取消息最大值，注意是拉取消息的最大值而非消费最大值
    pull-batch-size: 10

3.监听消息

@Slf4j
@Component
@RocketMQMessageListener(topic = "test-top",
        consumerGroup = "consumer-b-group",
        messageModel = MessageModel.CLUSTERING)
public class AdItemsRocketConsumer implements RocketMQListener<String> {

    @Override
    public void onMessage(String s) {
        log.info("consumer 收到消息 [{}]", s);
    }
}

4.验证

在数据库zmall_goods.ad_items 进行修改操作

即可看到接收到消息了。