下载canal的压缩包，developer版本的，然后解压到文件夹中。

启动：

比如：/root/bin/canal/bin 中 bash startup.sh

关闭：

比如：/root/bin/canal/bin 中 bash stop.sh

环境变量配置：

#################################################
#########       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 = 127.0.0.1:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441
# admin auto register
#canal.admin.register.auto = true
#canal.admin.register.cluster =
#canal.admin.register.name =

canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ
canal.serverMode = rocketMQ
# 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 = false
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 = root
canal.instance.tsdb.dbPassword = 110023
# 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 = index12306_canal_ticket-service_common-sync_cg
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 =
#################################################
## 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=127.0.0.1:3306
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=false
canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
canal.instance.tsdb.dbUsername=root
canal.instance.tsdb.dbPassword=110023

#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=110023
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=12306_ticket\\..*
# 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=index12306_canal_ticket-service_common-sync_topic
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,topic2:mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.enableDynamicQueuePartition=false
#canal.mq.partitionsNum=3
#canal.mq.dynamicTopicPartitionNum=test.*:4,mycanal:6
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#
# multi stream for polardbx
canal.instance.multi.stream.on=false
#################################################

关联rocketmq

在mq的dashboard中创建对应的topic， 然后修改你canal监听的表的数据，canal检测到之后就会发送消息给mq。

返回结果：

  "data": [
    {
      "id": "1683022024079286272",
      "train_id": "3",
      "carriage_number": "01",
      "seat_number": "01A",
      "seat_type": "0",
      "start_station": "北京",
      "end_station": "德州",
      "price": "7500",
      "seat_status": "3",
      "create_time": "2023-07-23 15:51:34",
      "update_time": "2023-07-23 15:51:34",
      "del_flag": "0"
    }
  ],
  "database": "12306_ticket",
  "es": 1765117941000,
  "gtid": "",
  "id": 2,
  "isDdl": false,
  "mysqlType": {
    "id": "bigint unsigned",
    "train_id": "bigint",
    "carriage_number": "varchar(64)",
    "seat_number": "varchar(64)",
    "seat_type": "int",
    "start_station": "varchar(256)",
    "end_station": "varchar(256)",
    "price": "int",
    "seat_status": "int",
    "create_time": "datetime",
    "update_time": "datetime",
    "del_flag": "tinyint(1)"
  },
  "old": [
    {
      "seat_status": "2"
    }
  ],
  "pkNames": ["id"],
  "sql": "",
  "sqlType": {
    "id": -5,
    "train_id": -5,
    "carriage_number": 12,
    "seat_number": 12,
    "seat_type": 4,
    "start_station": 12,
    "end_station": 12,
    "price": 4,
    "seat_status": 4,
    "create_time": 93,
    "update_time": 93,
    "del_flag": -6
  },
  "table": "t_seat",
  "ts": 1765117942192,
  "type": "UPDATE"
}

java项目中配置

实体类（用于映射canal发送的消息体）

package com.xmut.ticketservice.mq.event;

import lombok.Data;

import java.util.List;
import java.util.Map;

/**
 * Canal Binlog 监听触发时间
 */
@Data
public class CanalBinlogEvent {

    /**
     * 变更数据
     */
    private List<Map<String, Object>> data;

    /**
     * 数据库名称
     */
    private String database;

    /**
     * es 是指 Mysql Binlog 里原始的时间戳，也就是数据原始变更的时间
     * Canal 的消费延迟 = ts - es
     */
    private Long es;

    /**
     * 递增 ID，从 1 开始
     */
    private Long id;

    /**
     * 当前变更是否是 DDL 语句
     */
    private Boolean isDdl;

    /**
     * 表结构字段类型
     */
    private Map<String, Object> mysqlType;

    /**
     * UPDATE 模式下旧数据
     */
    private List<Map<String, Object>> old;

    /**
     * 主键名称
     */
    private List<String> pkNames;

    /**
     * SQL 语句
     */
    private String sql;

    /**
     * SQL 类型
     */
    private Map<String, Object> sqlType;

    /**
     * 表名
     */
    private String table;

    /**
     * ts 是指 Canal 收到这个 Binlog，构造为自己协议对象的时间
     * 应用消费的延迟 = now - ts
     */
    private Long ts;

    /**
     * INSERT（新增）、UPDATE（更新）、DELETE（删除）等等
     */
    private String type;
}

consumer

因为是通用的consumer，这里可以接收order和ticket的修改，根据修改的表的名称进行动态选择处理类

@Slf4j
@Component
@RequiredArgsConstructor
@RocketMQMessageListener(
    topic = TicketRocketMQConstant.CANAL_COMMON_SYNC_TOPIC_KEY,
    consumerGroup = TicketRocketMQConstant.CANAL_COMMON_SYNC_CG_KEY
)
public class CanalCommonSyncBinlogConsumer implements RocketMQListener<CanalBinlogEvent> {

    private final AbstractStrategyChoose abstractStrategyChoose;
    
    @Override
    public void onMessage(CanalBinlogEvent message) {
        if (message.getIsDdl()
                || CollUtil.isEmpty(message.getOld())
                || !Objects.equals("UPDATE", message.getType())
                || !StrUtil.equals(ticketAvailabilityCacheUpdateType, "binlog")) {
            return;
        }
        abstractStrategyChoose.chooseAndExecute(
                message.getTable(),
                message,
                CanalExecuteStrategyMarkEnum.isPatternMatch(message.getTable())
        );
    }
}

Handler（具体代码逻辑）

@Component
@Slf4j
@RequiredArgsConstructor
public class TicketAvailabilityCacheUpdateHandler implements AbstractExecuteStrategy<CanalBinlogEvent, Void> {

    private final DistributedCache distributedCache;
    @Override
    public String mark() {
        return CanalExecuteStrategyMarkEnum.T_SEAT.getActualTable();
    }

    @Override
    public void execute(CanalBinlogEvent message) {
        // 具体业务代码
    }
}

/**
 * 订单关闭或取消后置处理组件
 */
@Slf4j
@Component
@RequiredArgsConstructor
public class OrderCloseCacheAndTokenUpdateHandler implements AbstractExecuteStrategy<CanalBinlogEvent, Void> {

    private final TicketOrderRemoteService ticketOrderRemoteService;
    private final SeatService seatService;
    private final TicketAvailabilityTokenBucket ticketAvailabilityTokenBucket;

    @Override
    public void execute(CanalBinlogEvent message) {
        // 具体业务代码
    }

    @Override
    public String mark() {
        return CanalExecuteStrategyMarkEnum.T_ORDER.getActualTable();
    }

    @Override
    public String patternMatchMark() {
        return CanalExecuteStrategyMarkEnum.T_ORDER.getPatternMatchTable();
    }
}

至此结束，经过测试可以正常运行。