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:/home/admin/canal-server/conf 
            - /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  

2.第二步:配置Canal

我们需要修改下Canal环境的配置文件:canal.propertiesinstance.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

# 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

(4)第4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。

# 第一步:仓库网络
docker network create mynetwork
# 第二步:启动
sudo docker-compose -f /home/test-canal/docker-compose.yml up -d

(5)第5步:开放端口

最近使用 OpenEuler 部署项目,发现防火墙放通端口的方法找不到,因此在这里记录:
 
# firewall-cmd --query-port=8084/tcp --permanent
no
# firewall-cmd --add-port=8084/tcp --permanent
success
# firewall-cmd --reload
success
# firewall-cmd --query-port=8084/tcp --permanent

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

SpringBoot整合Canal_第1张图片

SpringBoot整合Canal_第2张图片

有必要的话降低spring boot的版本:

SpringBoot整合Canal_第3张图片

(2)第2步:Maven依赖:

1.1.5  
  
  
  
  com.alibaba.otter  
  canal.client  
  ${canal.version}  
  
  
  com.alibaba.otter  
  canal.protocol  
  ${canal.version}  
  

(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 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 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

5.报错

(1)【gpt】ERROR: for mymysql  Cannot start service mysql: network mynetwork not found

这个错误提示表明 Docker 容器无法找到名为 "mynetwork" 的网络。可能是由于以下几个原因导致的:

  1. 你没有创建名为 "mynetwork" 的 Docker 网络。在运行容器之前,需要先创建一个自定义网络。你可以使用以下命令创建一个自定义网络:

    docker network create mynetwork

    然后再尝试启动 mysql 服务。

  2. 如果你已经创建了 "mynetwork" 网络,但是它位于不同的 Docker 主机上,或者由于某种原因被删除了,那么容器将无法找到该网络。请确保网络存在,并且与运行 mysql 容器的主机关联。

  3. 可能是 Docker daemon 没有正确配置网络驱动程序,导致无法创建网络。你可以尝试重启 Docker 服务,或者检查 Docker 配置文件以确保网络驱动程序配置正确。

如果以上方法都没有解决问题,可以提供更多关于你的环境和具体操作的信息,以便更好地帮助你解决问题。

(2)ERROR: for canal-server  Cannot start service canal-server: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error mounting "/home/mycontainers/canal-server/conf/canal.properties" to rootfs at "/home/admin/canal-server/conf/canal.properties": mount /home/mycontainers/canal-server/conf/canal.properties:/home/admin/canal-server/conf/canal.properties (via /proc/self/fd/6), flags: 0x5000: not a directory: unknown: Are you trying to mount a directory onto a file (or vice-versa)? Check if the specified host path exists and is the expected type

        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 

改为

        volumes:  
            - /home/mycontainers/canal-server/conf:/home/admin/canal-server/conf 
            - /home/mycontainers/canal-server/logs:/home/admin/canal-server/logs 

参考:

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

2. 实战!基于canal同步mysql数据到elasticsearch - 知乎 (zhihu.com) 

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