canal -gtid 测试环境记录
canal
alibaba/canal: Canal 是由阿里巴巴开源的分布式数据库同步系统,主要用于实现MySQL数据库的日志解析和实时增量数据订阅与消费,广泛应用于数据库变更消息的捕获、数据迁移、缓存更新等场景。
项目地址:https://gitcode.com/gh_mirrors/ca/canal
免费下载资源
·
3个数据库的docker-compose yaml文件
version: '3.1'
services:
db_source:
image: mysql:5.7.31
# restart: always
environment:
MYSQL_ROOT_PASSWORD: source
ports:
- 3306:3306
volumes:
- ./source.cnf:/etc/mysql/my.cnf
db_destination:
image: mysql:5.7.31
# restart: always
environment:
MYSQL_ROOT_PASSWORD: destination
ports:
- 3307:3306
volumes:
- ./destination.cnf:/etc/mysql/my.cnf
db_tsdb:
image: mysql:5.7.31
# restart: always
environment:
MYSQL_ROOT_PASSWORD: tsdb
ports:
- 3308:3306
volumes:
- ./tsdb.cnf:/etc/mysql/my.cnf
3个一样的mysql cnf文件
[root@140 canal]# cat source.cnf
[mysqld] #服务端基本设置
gtid-mode=on
enforce-gtid-consistency=1
log-slave-updates=1
log-bin=log-bin
binlog-format=ROW
server-id=10[root@140 canal]#
[root@140 canal]# cat tsdb.cnf
[mysqld] #服务端基本设置
gtid-mode=on
enforce-gtid-consistency=1
log-slave-updates=1
log-bin=log-bin
binlog-format=ROW
server-id=12[root@140 canal]#
[root@140 canal]# cat destination.cnf
[mysqld] #服务端基本设置
gtid-mode=on
enforce-gtid-consistency=1
log-slave-updates=1
log-bin=log-bin
binlog-format=ROW
server-id=11[root@140 canal]#
instance.properties
#################################################
## mysql serverId , v1.0.26+ will autoGen
# canal.instance.mysql.slaveId=0
# enable gtid use true/false
canal.instance.gtidon=true
# position info
canal.instance.master.address=192.168.157.140:3306
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://192.168.157.140:3308/tsdb?useSSL=false
canal.instance.tsdb.dbUsername=tsdb
canal.instance.tsdb.dbPassword=tsdb
#canal.instance.tsdb.url
#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
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=gtid_source\\..*
# 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=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,.*\\..*
#################################################
canal.properties
#################################################
######### common argument #############
#################################################
# tcp bind ip
canal.ip =192.168.157.1
# register ip to zookeeper
canal.register.ip =
canal.port = 11115
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
canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, RocketMQ
canal.serverMode = tcp
# 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 ,what usage?
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.dir = ${canal.file.data.dir:../conf}/${canal.instance.destination:}
canal.instance.tsdb.url = jdbc:mysql://192.168.157.140:3308/tsdb?useSSL=false
canal.instance.tsdb.dbUsername = tsdb
canal.instance.tsdb.dbPassword = tsdb
canal.instance.tsdb.snapshot.interval = 1
# purge snapshot expire , default 360 hour(15 days)
canal.instance.tsdb.snapshot.expire = 2
#canal.instance.tsdb.spring.xml = classpath:spring/tsdb/h2-tsdb.xml
canal.instance.tsdb.spring.xml = classpath:spring/tsdb/mysql-tsdb.xml
# aliyun ak/sk , support rds/mq
canal.aliyun.accessKey =
canal.aliyun.secretKey =
#################################################
######### destinations #############
#################################################
canal.destinations = gtid-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
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 #############
##################################################
canal.mq.servers = 127.0.0.1:6667
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"
database schema mirror 配置,注意是配合代码 -修改canal支持不同schema mirror修改的
dataSourceKey: defaultDS ## Mirror schema synchronize config
destination: gtid-example
groupId: g1
outerAdapterKey: mysql1
concurrent: true
dbMapping:
mirrorDb: true
database: gtid_source
targetDb: gtid_destination
mapAll: true
GitHub 加速计划 / ca / canal
28.22 K
7.57 K
下载
alibaba/canal: Canal 是由阿里巴巴开源的分布式数据库同步系统,主要用于实现MySQL数据库的日志解析和实时增量数据订阅与消费,广泛应用于数据库变更消息的捕获、数据迁移、缓存更新等场景。
最近提交(Master分支:3 个月前 )
1e5b8a20 - 2 个月前
ff82fd65
2 个月前
更多推荐
已为社区贡献2条内容
所有评论(0)