SpringBoot整合Canal

一 linux? + docker compose版本

1.第一步：基础环境

（1）第1步：安装jak、maven、git、nodejs、npm

    yum install maven        mvn -v            安装maven时会帮安装jdk

    yum install git          git --version     2.27.0

    yum install nodejs       node -v           v12.22.11

    yum install npm          npm -v            6.14.16
    

（2）第2步：安装docker

# 第1步：创建docker配置目录
mkdir /etc/docker

# 第2步：创建配置文件
tee /etc/docker/daemon.json <<-'EOF'
{
  "debug": true,
  "storage-driver": "overlay2",
  "storage-opts":["overlay2.override_kernel_check=true"],
  "graph":"/opt/docker",
  "registry-mirrors": [
  "https://hub-mirror.c.163.com",
  "https://docker.mirrors.ustc.edu.cn",
  "https://registry.docker-cn.com"
  ]
}
EOF

# 第3步：使用镜像源安装docker
dnf install docker
 
# 第4步：启动docker
systemctl start docker
 
# 第5步：开机自动启动
systemctl enable docker
 
# 第6步：查看docker版本信息
docker info

（3）第3步：安装docker compose

dnf install docker-compose

（4）第四步：创建docker-compose.yml文件，并上传到linux

# 第一步：创建文件夹
mkdir test-canal

# 第二步：创建docker-compose.yml文件
vim docker-compose.yml

# 附：文件代码
version: "3"  
services:  
    mysql:  
        network_mode: mynetwork  
        container_name: mymysql  
        ports:  
            - 3306:3306  
        restart: always  
        volumes:  
            - /etc/localtime:/etc/localtime  
            - /home/mycontainers/mymysql/data:/data  
            - /home/mycontainers/mymysql/mysql:/var/lib/mysql  
            - /home/mycontainers/mymysql/conf:/etc/mysql  
        environment:  
            - MYSQL_ROOT_PASSWORD=root  
        command:   
            --character-set-server=utf8mb4  
            --collation-server=utf8mb4_unicode_ci  
            --log-bin=/var/lib/mysql/mysql-bin  
            --server-id=1  
            --binlog-format=ROW  
            --expire_logs_days=7  
            --max_binlog_size=500M  
        image: mysql:5.7.20  
    rabbitmq:     
        container_name: myrabbit  
        ports:  
            - 15672:15672  
            - 5672:5672  
        restart: always  
        volumes:  
            - /etc/localtime:/etc/localtime  
            - /home/mycontainers/myrabbit/rabbitmq:/var/lib/rabbitmq  
        network_mode: mynetwork  
        environment:  
            - RABBITMQ_DEFAULT_USER=admin  
            - RABBITMQ_DEFAULT_PASS=123456  
        image: rabbitmq:3.8-management  
    canal-server:  
        container_name: canal-server  
        restart: always  
        ports:  
            - 11110:11110  
            - 11111:11111  
            - 11112:11112  
        volumes:  
            - /home/mycontainers/canal-server/conf/canal.properties:/home/admin/canal-server/conf/canal.properties  
            - /home/mycontainers/canal-server/conf/instance.properties:/home/admin/canal-server/conf/example/instance.properties  
            - /home/mycontainers/canal-server/logs:/home/admin/canal-server/logs  
        network_mode: mynetwork  
        depends_on:  
            - mysql  
            - rabbitmq  
            # - canal-admin  
        image: canal/canal-server:v1.1.5  

（5）第5步：启动，它将尝试自动完成包括构建镜像，（重新）创建服务，启动服务，并关联服务相关容器的一系列操作。

sudo docker-compose -f /home/test-canal/docker-compose.yml up -d

2.第二步：配置Canal

我们需要修改下Canal环境的配置文件：canal.properties和instance.properties，映射Canal中的以下两个路径：

• /home/admin/canal-server/conf/canal.properties。其中canal.destinations意思是server上部署的instance列表，

• /home/admin/canal-server/conf/example/instance.properties。这里的/example是指instance即实例名，要和上面canal.properties内instance配置对应，canal会为实例创建对应的文件夹，一个Client对应一个实例

以下是我们需要准备的两个配置文件具体内容：

（1）第1步：创建canal.properties，并上传到指定位置?

# 第一步：创建配置文件所在的目录
mkdir -p  /home/admin/canal-server/conf

# 第二步：把配置文件上传到下面的目录 
cd /home/admin/canal-server/conf

附：文件内容
################################################  
########     common argument   ############  
################################################  
# 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  
# canal.admin.manager = canal-admin:8089  
  
# canal.admin.port = 11110  
# canal.admin.user = admin  
# canal.admin.passwd = 6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9  
  
# admin auto register 自动注册  
# canal.admin.register.auto = true  
# 集群名，单机则不写  
# canal.admin.register.cluster =  
# Canal Server 名字  
# canal.admin.register.name = canal-admin  
  
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 = canal-exchange  
# 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  
  
#################################################  
########         RabbitMQ       ############  
#################################################  
rabbitmq.host = myrabbit  
rabbitmq.virtual.host = /  
rabbitmq.exchange = canal-exchange  
rabbitmq.username = admin  
rabbitmq.password = RabbitMQ密码  

此时canal.serverMode = tcp，即TCP直连，我们先开启这个服务，然后手写Java客户端代码去连接它，等下再改为RabbitMQ。

通过注释可以看到，canal支持的服务模式有：tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ，即主流的消息队列都支持

（2）第2步：创建instance.properties，并上传到指定位置?

# 第一步：创建配置文件所在的目录
mkdir -p  /home/admin/canal-server/conf/example

# 第二步：把配置文件上传到下面的目录 
cd /home/admin/canal-server/conf/example

附：文件内容
################################################  
# mysql serverId , v1.0.26+ will autoGen  
#canal.instance.mysql.slaveId=123  
  
# enable gtid use true/false  
canal.instance.gtidon=false  
  
# position info  
canal.instance.master.address=mymysql: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=canal  
canal.instance.dbPassword=canal  
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=mysql\.slave_.*  
# 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=canal-routing-key  
# dynamic topic route by schema or table regex  
#canal.mq.dynamicTopic=mytest1.user,topic2:mytest2\..*,.*\..*  
canal.mq.partition=0  

把这两个配置文件映射好，再次提醒，注意实例的路径名，默认是：/example/instance.properties

（3）第3步：修改canal配置文件

我们需要修改这个实例配置文件，去连接MySQL，确保以下的配置正确：

canal.instance.master.address=mymysql:3306??
canal.instance.dbUsername=canal??
canal.instance.dbPassword=canal??

mymysql是同为docker容器的MySQL环境，端口3306是指内部端口。

这里多说明一下，docker端口配置时假设为：13306:3306，那么容器对外的端口就是13306，内部是3306，在本示例中，MySQL和Canal都是容器环境，所以Canal连接MySQL需要满足以下条件：

• 处于同一网段（docker-compose.yml中的mynetwork）

• 访问内部端口（即3306，而非13306）

dbUsername和dbPassword为MySQL账号密码，为了开发方便可以使用root/root，但是我仍建议自行创建用户并分配访问权限（我没做）：

#?进入docker中的mysql容器??
docker?exec?-it?mymysql?bash??
#?进入mysql指令模式??
mysql?-uroot?-proot??
??
#?编写MySQL语句并执行??
>?...??
--?选择mysql??
use?mysql;??
--?创建canal用户，账密：canal/canal??
create?user?'canal'@'%'?identified?by?'canal';??
--?分配权限，以及允许所有主机登录该用户??
grant?SELECT,?INSERT,?UPDATE,?DELETE,?REPLICATION?SLAVE,?REPLICATION?CLIENT?on?*.*?to?'canal'@'%';??
??
--?刷新一下使其生效??
flush?privileges;??
??
--?附带一个删除用户指令??
drop?user?'canal'@'%';??

用navicat或者shell去登录canal这个用户，可以访问即创建成功

3.第三步：整合SpringBoot Canal实现客户端

（1）第1步：idea新建一个spring boot项目

有必要的话降低spring boot的版本：

（2）第2步：Maven依赖：

<canal.version>1.1.5</canal.version>??
??
<!--canal-->??
<dependency>??
??<groupId>com.alibaba.otter</groupId>??
??<artifactId>canal.client</artifactId>??
??<version>${canal.version}</version>??
</dependency>??
<dependency>??
??<groupId>com.alibaba.otter</groupId>??
??<artifactId>canal.protocol</artifactId>??
??<version>${canal.version}</version>??
</dependency>??

（3）第3步：新增组件并启动：

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?org.springframework.boot.CommandLineRunner;??
import?org.springframework.stereotype.Component;??
??
import?java.net.InetSocketAddress;??
import?java.util.List;??
??
@Component??
public?class?CanalClient?{??
??
????private?final?static?int?BATCH_SIZE?=?1000;??
??
????public?void?run()?{??
????????//?创建链接??
????????CanalConnector?connector?=?CanalConnectors.newSingleConnector(new?InetSocketAddress("localhost",?11111),?"canal-exchange",?"canal",?"canal");??
????????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(BATCH_SIZE);??
????????????????//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)?{??
????????????????????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();??
????????}??
????}??
??
????/**??
?????*?打印canal?server解析binlog获得的实体类信息??
?????*/??
????private?static?void?printEntry(List<CanalEntry.Entry>?entrys)?{??
????????for?(CanalEntry.Entry?entry?:?entrys)?{??
????????????if?(entry.getEntryType()?==?CanalEntry.EntryType.TRANSACTIONBEGIN?||?entry.getEntryType()?==?CanalEntry.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??
????????????CanalEntry.RowChange?rowChage;??
????????????try?{??
????????????????rowChage?=?CanalEntry.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??
????????????CanalEntry.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?(CanalEntry.RowData?rowData?:?rowChage.getRowDatasList())?{??
????????????????//如果是删除语句??
????????????????if?(eventType?==?CanalEntry.EventType.DELETE)?{??
????????????????????printColumn(rowData.getBeforeColumnsList());??
????????????????????//如果是新增语句??
????????????????}?else?if?(eventType?==?CanalEntry.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());??
????????}??
????}??
}??

?（4）第4步：启动类Application：

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class CanalDemoApplication extends CommandLineRunner {
    @Autowired
    private CanalClient canalClient;

    @Override
    public void run(String... args) throws Exception {
        canalClient.run();
    }

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

}

4.第四步：测试

????????启动程序，此时新增或修改数据库中的数据，我们就能从客户端中监听到

参考：

1.?SpringBoot整合Canal+RabbitMQ监听数据变更~ (qq.com)