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Cannal系列6 - server集群HA高可用

后端2024-05-01 11:53:18

https://githubfast.com/alibaba/canal/wiki/AdminGuide
https://zookeeper.apache.org/doc/current/zookeeperStarted.html

安装zk

创建文件 apache-zookeeper-3.9.0-bin\conf\zoo.cfg

tickTime=2000
dataDir=/var/lib/zookeeper
clientPort=2181

启动zk

zkServer.cmd

启动两个cannal-server

两个cannal服务端都放在一台机器上
只需要将原来的server整个copy一份。改下端口
start.bat 的debug端口也改下
注意：两台机器上的instance目录的名字需要保证完全一致，HA模式是依赖于instance name进行管理，同时必须都选择default-instance.xml配置

在admin上修改配置

添加集群

主配置：直接copy之前的配置进来

这个配置改成这个 canal.instance.global.spring.xml = classpath:spring/default-instance.xml ，之前默认使用文件本地存储的（classpath:spring/file-instance.xml）。现在改成的这个就是把instance信息放到zk中。
zk的配置信息
canal.zkServers=127.0.0.1:2181

#################################################
#########       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
# 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
# admin auto register
canal.admin.register.auto = true
canal.admin.register.cluster =
canal.zkServers =127.0.0.1:2181
canal.instance.global.spring.xml = classpath:spring/default-instance.xml
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ
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 = example,my1
# 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           #############
##################################################


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


##################################################
#########           RabbitMQ         #############
##################################################
rabbitmq.host = 127.0.0.1
rabbitmq.virtual.host = /
rabbitmq.exchange =exchange.canal
rabbitmq.queue = canal_queue
rabbitmq.routingKey = canal-routing-key
rabbitmq.username =guest
rabbitmq.password =guest
rabbitmq.deliveryMode =direct



##################################################
#########             Pulsar         #############
##################################################

添加server

添加instant

把这之前instant的配置copy到里面来

#################################################
## mysql serverId , v1.0.26+ will autoGen
## mysql serverId，这里的slaveId不能和myql集群中已有的server_id一样
canal.instance.mysql.slaveId=1234

# 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=
# mysql主库链接时起始的binlog偏移量
canal.instance.master.position=
# mysql主库链接时起始的binlog的时间戳
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@123456
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex
# table regex .*\..*表示监听所有表 也可以写具体的表名，用，隔开
canal.instance.filter.regex=.*\..*
# table black regex
# mysql 数据解析表的黑名单，多个表用，隔开
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
# rabbitmq 的 routing key
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
# 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
#################################################

测试HA功能

这个instant现在属于node2（192.168.1.4:11114）

也可以查看zk当前支持的工作cannal节点当前工作的节点为192.168.1.4:11114

zkCli.cmd
[zk: localhost:2181(CONNECTED) 0] get /otter/canal/destinations/example/running
{"active":true,"address":"192.168.1.4:11114"}
[zk: localhost:2181(CONNECTED) 1]

那我们就把这个192.168.1.4:11114给停掉
使用管理后台的停止只是停止服务，但是服务jvm进程本身还是没有停的。jvm进程停了就是断开状态

随后192.168.1.4:11114上的instant也停止了

ok，过了几秒钟后刷新页面再次查看，instant又起来了。这次所属主机变成了node1

我们再次查看zk的工作节点信息
发现已经变成了192.168.1.4:11111了，说明故障转移测试成功！

[zk: localhost:2181(CONNECTED) 12] get /otter/canal/destinations/example/running
{"active":true,"address":"192.168.1.4:11111"}
[zk: localhost:2181(CONNECTED) 13]

几种instance的实现

对应的两个位点组件，目前都有几种实现：

memory (memory-instance.xml中使用)
zookeeper
mixed
period (default-instance.xml中使用，集合了zookeeper+memory模式，先写内存，定时刷新数据到zookeeper上)

memory-instance.xml介绍：

所有的组件(parser , sink , store)都选择了内存版模式，记录位点的都选择了memory模式，重启后又会回到初始位点进行解析
特点：速度最快，依赖最少(不需要zookeeper)
场景：一般应用在quickstart，或者是出现问题后，进行数据分析的场景，不应该将其应用于生产环境

default-instance.xml介绍：

store选择了内存模式，其余的parser/sink依赖的位点管理选择了持久化模式，目前持久化的方式主要是写入zookeeper，保证数据集群共享.
特点：支持HA
场景：生产环境，集群化部署.

group-instance.xml介绍：

主要针对需要进行多库合并时，可以将多个物理instance合并为一个逻辑instance，提供客户端访问。场景：分库业务。比如产品数据拆分了4个库，每个库会有一个instance，如果不用group，业务上要消费数据时，需要启动4个客户端，分别链接4个instance实例。使用group后，可以在canal server上合并为一个逻辑instance，只需要启动1个客户端，链接这个逻辑instance即可.

instance.xml设计初衷

允许进行自定义扩展，比如实现了基于数据库的位点管理后，可以自定义一份自己的instance.xml，整个canal设计中最大的灵活性在于此

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