canal实现Elasticsearch数据同步
canal实现Elasticsearch数据同步
⼀.canal介绍
canal 主要⽤途是基于 MySQL 数据库增量⽇志解析，提供增量数据订阅和消费
基于⽇志增量订阅和消费的业务包括
数据库镜像
数据库实时备份
索引构建和实时维护(拆分异构索引、倒排索引等)
业务 cache 刷新
带业务逻辑的增量数据处理
当前的 canal ⽀持源端 MySQL 版本包括 5.1.x , 5.5.x , 5.6.x , 5.7.x , 8.0.x
⼆. canal⼯作原理
植物种子的传播方式
MySQL主备复制原理
MySQL master 将数据变更写⼊⼆进制⽇志( binary log, 其中记录叫做⼆进制⽇志事件binary log events，可以通过 show binlog events 进⾏查看)
MySQL slave 将 master 的 binary log events 拷贝到它的中继⽇志(relay log)
MySQL slave 重放 relay log 中事件，将数据变更反映它⾃⼰的数据
canal ⼯作原理
canal 模拟 MySQL slave 的交互协议，伪装⾃⼰为 MySQL slave ，向 MySQL master 发送dump 协议
MySQL master 收到 dump 请求，开始推送 binary log 给 slave (即 canal )
canal 解析 binary log 对象(原始为 byte 流)
三. 其他同步⽅案对⽐
四. canal搭建配置
canal.adapter下载地址:
canal-server下载地址:
canal-server： canal.properties配置
>>>>>>>>>####
>####  common argument  >>###
>>>>>>>>>####
# tcp bind ip
canal.ip = 192.168.2.224
# register ip to zookeeper
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canal.port = 11111
# 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
#canal.zkServers = 192.168.2.224:2181
# flush data to zk
canal.withoutNetty = false
# tcp, kafka, RocketMQ
canal.serverMode = tcp
# flush meta cursor/parse position to file
canal.file.data.dir = ${f.dir}
canal.file.flush.period = 1000
## memory store RingBuffer size, should be Math.pow(2,n)
buffer.size = 16384
## memory store RingBuffer used memory unit size , default 1kb
unit = 1024
## meory store gets mode used MEMSIZE or ITEMSIZE
de = MEMSIZE
rawEntry = true
## detecing config
canal.able = false
王者荣耀雅典娜#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.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
ansaction.size =  1024
# mysql fallback connected to new master should fallback times
canal.instance.fallbackIntervalInSeconds = 60
# network config
iveBufferSize = 16384
canal.instancework.sendBufferSize = 16384
canal.instancework.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. = false
canal.ws = false
canal. = false
# binlog format/image check
canal.instance.binlog.format = ROW,STATEMENT,MIXED
canal.instance.binlog.image = FULL,MINIMAL,NOBLOB
# binlog ddl isolation
ddl.isolation = false
# parallel parser config
canal.instance.parser.parallel = true
## concurrent thread number, default 60% available processors, suggest not to Runtime().availableProcessors() #canal.instance.parser.parallelThreadSize = 16
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## disruptor ringbuffer size, must be power of 2
canal.instance.parser.parallelBufferSize = 256
# table meta tsdb info
canal.able = 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
# dump snapshot interval, default 24 hour
canal.instance.tsdb.snapshot.interval = 24
# purge snapshot expire , default 360 hour(15 days)
canal.instance.pire = 360
# aliyun ak/sk , support rds/mq
canal.aliyun.accessKey =
canal.aliyun.secretKey =
>>>>>>>>>####
>####  destinations  >>###
>>>>>>>>>####
canal.destinations = mogu  #实例名称，需要在conf⽂件夹内创建同名⽂件夹，并添加instance.properties⽂件# conf root dir
# auto scan instance dir add/remove and start/stop instance
canal.auto.scan = true
canal.auto.scan.interval = 5
canal.instance.l = classpath:spring/l
#canal.instance.l = classpath:spring/l
canal.de = spring
canal.instance.global.lazy = false
canal.instance.global.manager.address = ${canal.admin.manager}
#canal.instance.l = classpath:l
canal.instance.l = classpath:l
#canal.instance.l = classpath:l
>>>>>>>>>>
>####        MQ        >>###
>>>>>>>>>>
canal.mq.servers = 127.0.0.1:6667
ies = 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.mqpressionType = 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.able = false
canal.mq.kafka.kerberos.krb5FilePath = "../conf/f"
canal.mq.kafka.kerberos.jaasFilePath = "../conf/f"
canal-server：instance.properties配置
>>>>>>>>>####
## mysql serverId , v1.0.26+ will autoGen
# sql.slaveId=0
# enable gtid use true/false
idon=false
# position info
canal.instance.master.address=192.168.2.243:3306 #mysql主数据库地址
canal.instance.master.journal.name=
canal.instance.master.position=
canal.instance.master.timestamp=
canal.id=
# rds oss binlog
canal.instance.rds.accesskey=
canal.instance.rds.secretkey=
canal.instance.rds.instanceId=
# table meta tsdb info
canal.able=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.id=
# username/password
canal.instance.dbUsername=root  #数据库⽤户名
canal.instance.dbPassword=root  #数据库密码
tionCharset = UTF-8
# enable druid Decrypt database password
ableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiN
# table regex
canal.=.*\\..*
# table black regex
canal.instance.=
# 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
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# 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
pic=example
# 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,.*\\..*
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>>>>>>>>>####
canal-adapter(canal是配置⽤于同步es、kafka、mq)：l 配置
server:
port: 8081

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