Mac搭建canal+kafka

环境准备
- 一、JDK\MySQL
- 二、springboot集成kafka
- 三、canal搭建
- - 1、下载canal相关包
  - 2、canal-admin安装
  - canal-deployer安装
  - 3、在UI配置监听DB信息
  - - 3.1、server配置
    - 3.2、配置DB监听账号
    - 3.3、配置监听实例信息
- 参考文献

环境准备

本文要演示的是，如何在Mac本地搭建一套canal来监听DB变化,并将变化信息推送到kafka的方案。因此需要先安装本地的一些依赖环境, 如JDK、MySQL、kafka、canal、springboot搭建等。本文重点讲解如何搭建canal,其他依赖请参考之前我分享过的博文~

一、JDK\MySQL

自行谷歌

二、springboot集成kafka

springboot集成kafka请点此移步

三、canal搭建

1、下载canal相关包

canal-admin（新版本加入进来WEB-UI管理节点、实例等配置）

wget https://github.com/alibaba/canal/releases/download/canal-1.1.4/canal.admin-1.1.4.tar.gz

canal-deployer （canal真正的server）

wget https://github.com/alibaba/canal/releases/download/canal.deployer-1.1.4.tar.gz

2、canal-admin安装

解压缩

下载包后解压.本文以/Users/admin/study为示例,如下不再提示

cd /Users/admin/study
mkdir canal-admin
解压
tar zxvf canal.admin-$version.tar.gz  -C canal-admin

修改配置

在/Users/admin/study/canal-admin/conf目录下的application.yml需要修改

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

spring.datasource:
  address: 127.0.0.1:3306   ## admin部署所在机器
  database: canal_manager  ## 默认的,因为这里需要导入canal部署及运行所需要的内置数据
  username: root  ## canal_manager库所在你的db对应的账号、密码
  password: root
  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  ## 【注意】canal的adminPasswd并不是登陆admin的密码，登陆admin的密码是设置在数据库中的，默认为123456

启动

/Users/admin/study/canal-admin/bin目录下执行

sh bin/startup.sh

看下/Users/admin/study/canal-admin/logs/admin.log

验证

http://127.0.0.1:8089/

账号\密码 admin\123456

Mac搭建canal+kafka环境准备

canal-deployer安装

解压缩

下载包后解压.本文以/Users/admin/study为示例,如下不再提示

cd /Users/admin/study
mkdir canal-deployer
解压
tar zxvf canal.admin-$version.tar.gz  -C canal-deployer

todo

修改配置

在/Users/admin/study/canal-deployer/conf目录下的canal_local.properties需要修改

# register ip
canal.register.ip =

# canal admin config
canal.admin.manager = 127.0.0.1:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441  ## 经过MySQL password函数处理过的。这里就是默认的admin
# admin auto register
canal.admin.register.auto = true
canal.admin.register.cluster = %

启动

/Users/admin/study/canal-deployer/bin目录下执行

sh bin/startup.sh local

如果不加local，会去读取canal.properties,加了会读取canal_local.properties

看下/Users/admin/study/canal-deployer/logs/canal/canal.log

3、在UI配置监听DB信息

3.1、server配置

Mac搭建canal+kafka环境准备

#################################################
######### 		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  ## 授权canal账号对应的密码,经MySQL password处理

# canal admin config
canal.admin.manager = 127.0.0.1:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441  ## canal-admin密码一致

canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, RocketMQ
canal.serverMode = kafka   ## 这里指定监听到DB变化就推送到指定kafka
# 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

# 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

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

#################################################
######### 		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

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 = manager
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 		     #############
##################################################
canal.mq.servers = 127.0.0.1:9092   # 指定推送kafka地址
canal.mq.retries = 0
canal.mq.batchSize = 16384
canal.mq.maxRequestSize = 1048576
canal.mq.lingerMs = 100
canal.mq.bufferMemory = 33554432
canal.mq.canalBatchSize = 50
canal.mq.canalGetTimeout = 100
canal.mq.flatMessage = true
canal.mq.compressionType = none
canal.mq.acks = all
#canal.mq.properties. =
canal.mq.producerGroup = test
# Set this value to "cloud", if you want open message trace feature in aliyun.
canal.mq.accessChannel = local
# aliyun mq namespace
#canal.mq.namespace =

##################################################
#########     Kafka Kerberos Info    #############
##################################################
canal.mq.kafka.kerberos.enable = false
canal.mq.kafka.kerberos.krb5FilePath = "../conf/kerberos/krb5.conf"
canal.mq.kafka.kerberos.jaasFilePath = "../conf/kerberos/jaas.conf"

3.2、配置DB监听账号

对于自建 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

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

授权 canal 链接 MySQL 账号具有作为 MySQL slave 的权限, 如果已有账户可直接 grant

CREATE USER canal IDENTIFIED BY 'canal';  
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
-- GRANT ALL PRIVILEGES ON *.* TO 'canal'@'%' ;
FLUSH PRIVILEGES;

3.3、配置监听实例信息

Mac搭建canal+kafka环境准备

#################################################
## 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=9.146.160.57:3306
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=test
canal.instance.dbPassword=test_test
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=db.table ## 指定监听哪个数据库哪个表
# 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=abc123  ## 指定推送到kafka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,.*\\..*
#################################################

Mac搭建canal+kafka环境准备

Mac搭建canal+kafka

环境准备

一、JDK\MySQL

二、springboot集成kafka

三、canal搭建

1、下载canal相关包

2、canal-admin安装

canal-deployer安装

3、在UI配置监听DB信息

3.1、server配置

3.2、配置DB监听账号

3.3、配置监听实例信息

参考文献

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