搭建环境

• 2台阿里云服务器，ip假设为：8.136.96.X,8.136.96.Y,8.136.96.Z
• 操作系统：CentOS Linux release 7.9.2009 (Core)
• JDK版本：1.8
• Zookeeper版本：3.7.2
• canal版本：1.1.5
• canal-admin版本：1.1.5

资源下载

• jdk1.8:oracle官方
• Zookeeper：Zookeeper官方下载
• canal:github下载
• canal-admin:github下载

服务器规划

8.136.96.X： zookeeper1,zookeeper2， 一个canal， 一个rabbitMq 8.136.96.Z： 一个canal， 一个canal-admin， 一个zookeeper3 zookeeper1对外服务端口号：12181，zookeeper内部通信端口号：12888,13888 zookeeper2对外服务端口号：22181，zookeeper内部通信端口号：22888,23888 zookeeper3对外服务端口号：32181，zookeeper内部通信端口号：32888,33888 canal-admin后台对外端口：8089

环境初始化

• 安装jdk1.8【安装步骤省略】

• Zookeeper集群安装【安装步骤省略】

• 端口开放：

• 方案1： 直接关闭防火墙：systemctl stop firewalld & systemctl disable firewalld

• 方案2(开启端口)：

  firewall-cmd --add-port=8089/tcp --zone=public --permanent
  firewall-cmd --add-port=12181/tcp --zone=public --permanent
  firewall-cmd --add-port=22181/tcp --zone=public --permanent
  firewall-cmd --add-port=32181/tcp --zone=public --permanent
  firewall-cmd --add-port=12888/tcp --zone=public --permanent
  firewall-cmd --add-port=13888/tcp --zone=public --permanent
  firewall-cmd --add-port=22888/tcp --zone=public --permanent
  firewall-cmd --add-port=23888/tcp --zone=public --permanent
  firewall-cmd --add-port=32888/tcp --zone=public --permanent
  firewall-cmd --add-port=33888/tcp --zone=public --permanent
  firewall-cmd --reload
  

• 服务器安全组开放端口：8089,12181,22181,32181,12888,13888,22888,23888,32888,33888

启动canal-admin

• 解压：tar -zxvf canal.admin-1.1.5.tar.gz -C /opt/

• 复制/opt/canal.admin-1.1.5/conf/canal_manager.sql文件到Mysql数据库，运行，生成canal_manager数据库

• 修改配置

  server:
    port: 8089
  spring:
    jackson:
      date-format: yyyy-MM-dd HH:mm:ss
      time-zone: GMT+8
  
  spring.datasource:
    address: [自己数据库地址]
    database: [数据库名]
    username: [数据库账号]
    password: [数据库密码]
    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# 这里最好和登录密码一致
  

• 启动：`/opt/canal.admin-1.1.5/bin/startup.sh

• 访问页面：8.136.96.Z:8089

• 新建集群：

  • 集群名： 随便起
  • ZK地址：8.136.96.X:12181,8.136.96.Y:22181,8.136.96.Z:32181【这里要按自己的服务器地址，端口号修改填】

• 设置主配置，需要修改地方，用中文标注出来了

#################################################
#########     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 = [登录密码,如果修改，则去数据拿】
# admin auto register
#canal.admin.register.auto = true
#canal.admin.register.cluster =
#canal.admin.register.name =

canal.zkServers = [同上面zk地址一样]
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ
canal.serverMode = rabbitMQ
# 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 = 
# 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
# 这里要设置成default-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"

##################################################
#########         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 = [rabbit地址]
rabbitmq.virtual.host = /
rabbitmq.exchange = [rabbit新的Exchange]
rabbitmq.username = [rabbit登录地址]
rabbitmq.password = [rabbit登录密码]
rabbitmq.deliveryMode =

启动canal

• 解压:tar -zxvf canal.deployer-1.1.5.tar.gz -C /opt/
• 修改配置：vim /opt/canal.deployer-1.1.5/conf/canal_local.properties,需要填写的地方，用中文标注

# register ip
canal.register.ip = [运行canal外网ip/内网ip，适用内网ip，要保证和canal-admin，内网互通]

# canal admin config
canal.admin.manager = [运行canal-admin服务器的ip地址]:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = [登录canal-admin密码]
# admin auto register
canal.admin.register.auto = true
canal.admin.register.cluster = [新建的集群名]
canal.admin.register.name = [注册到集群node名]

• 启动canal: /opt/canal.deployer-1.1.5/bin/startup.sh local
• 查看是否注册到Service管理里面

新增Instance

#################################################
## 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=[同步数据库地址]:3306
canal.instance.master.journal.name=[同步文件起点]
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=[访问数据库账号]
canal.instance.dbPassword=[访问数据库密码]
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=[rabbitmq，queue绑定的topic]
# 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,.*\\..*
#canal.mq.dynamicTopicPartitionNum=test.*:4,mycanal:6
#################################################

• 启动Instance，查看日志是否正常