yum install maven mvn -v 安装maven时会帮安装jdk
yum install git git --version 2.27.0
yum install nodejs node -v v12.22.11
yum install npm npm -v 6.14.16
# 第1步:创建docker配置目录
mkdir /etc/docker
# 第2步:创建配置文件
tee /etc/docker/daemon.json <<-'EOF'
{
"debug": true,
"storage-driver": "overlay2",
"storage-opts":["overlay2.override_kernel_check=true"],
"graph":"/opt/docker",
"registry-mirrors": [
"https://hub-mirror.c.163.com",
"https://docker.mirrors.ustc.edu.cn",
"https://registry.docker-cn.com"
]
}
EOF
# 第3步:使用镜像源安装docker
dnf install docker
# 第4步:启动docker
systemctl start docker
# 第5步:开机自动启动
systemctl enable docker
# 第6步:查看docker版本信息
docker info
dnf install docker-compose
# 第一步:创建文件夹
mkdir test-canal
# 第二步:创建docker-compose.yml文件
vim docker-compose.yml
# 附:文件代码
version: "3"
services:
mysql:
network_mode: mynetwork
container_name: mymysql
ports:
- 3306:3306
restart: always
volumes:
- /etc/localtime:/etc/localtime
- /home/mycontainers/mymysql/data:/data
- /home/mycontainers/mymysql/mysql:/var/lib/mysql
- /home/mycontainers/mymysql/conf:/etc/mysql
environment:
- MYSQL_ROOT_PASSWORD=root
command:
--character-set-server=utf8mb4
--collation-server=utf8mb4_unicode_ci
--log-bin=/var/lib/mysql/mysql-bin
--server-id=1
--binlog-format=ROW
--expire_logs_days=7
--max_binlog_size=500M
image: mysql:5.7.20
rabbitmq:
container_name: myrabbit
ports:
- 15672:15672
- 5672:5672
restart: always
volumes:
- /etc/localtime:/etc/localtime
- /home/mycontainers/myrabbit/rabbitmq:/var/lib/rabbitmq
network_mode: mynetwork
environment:
- RABBITMQ_DEFAULT_USER=admin
- RABBITMQ_DEFAULT_PASS=123456
image: rabbitmq:3.8-management
canal-server:
container_name: canal-server
restart: always
ports:
- 11110:11110
- 11111:11111
- 11112:11112
volumes:
- /home/mycontainers/canal-server/conf/canal.properties:/home/admin/canal-server/conf/canal.properties
- /home/mycontainers/canal-server/conf/instance.properties:/home/admin/canal-server/conf/example/instance.properties
- /home/mycontainers/canal-server/logs:/home/admin/canal-server/logs
network_mode: mynetwork
depends_on:
- mysql
- rabbitmq
# - canal-admin
image: canal/canal-server:v1.1.5
sudo docker-compose -f /home/test-canal/docker-compose.yml up -d
我们需要修改下Canal环境的配置文件:canal.properties
和instance.properties
,映射Canal中的以下两个路径:
/home/admin/canal-server/conf/canal.properties。其中canal.destinations
意思是server上部署的instance列表,
/home/admin/canal-server/conf/example/instance.properties
。这里的/example是指instance即实例名,要和上面canal.properties
内instance配置对应,canal会为实例创建对应的文件夹,一个Client对应一个实例
以下是我们需要准备的两个配置文件具体内容:
canal.properties,并上传到指定位置?
# 第一步:创建配置文件所在的目录
mkdir -p /home/admin/canal-server/conf
# 第二步:把配置文件上传到下面的目录
cd /home/admin/canal-server/conf
附:文件内容
################################################
######## 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 = canal-admin:8089
# canal.admin.port = 11110
# canal.admin.user = admin
# canal.admin.passwd = 6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9
# admin auto register 自动注册
# canal.admin.register.auto = true
# 集群名,单机则不写
# canal.admin.register.cluster =
# Canal Server 名字
# canal.admin.register.name = canal-admin
canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ
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
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 = canal-exchange
# 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
#################################################
######## RabbitMQ ############
#################################################
rabbitmq.host = myrabbit
rabbitmq.virtual.host = /
rabbitmq.exchange = canal-exchange
rabbitmq.username = admin
rabbitmq.password = RabbitMQ密码
此时canal.serverMode = tcp
,即TCP直连,我们先开启这个服务,然后手写Java客户端代码去连接它,等下再改为RabbitMQ。
通过注释可以看到,canal支持的服务模式有:tcp, kafka, rocketMQ, rabbitMQ, pulsarMQ,即主流的消息队列都支持
(2)第2步:创建instance.properties,并上传到指定位置?
# 第一步:创建配置文件所在的目录
mkdir -p /home/admin/canal-server/conf/example
# 第二步:把配置文件上传到下面的目录
cd /home/admin/canal-server/conf/example
附:文件内容
################################################
# mysql serverId , v1.0.26+ will autoGen
#canal.instance.mysql.slaveId=123
# enable gtid use true/false
canal.instance.gtidon=false
# position info
canal.instance.master.address=mymysql: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=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=.*\..*
# 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=canal-routing-key
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,topic2:mytest2\..*,.*\..*
canal.mq.partition=0
把这两个配置文件映射好,再次提醒,注意实例的路径名,默认是:/example/instance.properties
我们需要修改这个实例配置文件,去连接MySQL,确保以下的配置正确:
canal.instance.master.address=mymysql:3306??
canal.instance.dbUsername=canal??
canal.instance.dbPassword=canal??
mymysql是同为docker容器的MySQL环境,端口3306是指内部端口。
这里多说明一下,docker端口配置时假设为:13306:3306,那么容器对外的端口就是13306,内部是3306,在本示例中,MySQL和Canal都是容器环境,所以Canal连接MySQL需要满足以下条件:
处于同一网段(docker-compose.yml中的mynetwork)
访问内部端口(即3306,而非13306)
dbUsername和dbPassword为MySQL账号密码,为了开发方便可以使用root/root,但是我仍建议自行创建用户并分配访问权限(我没做):
#?进入docker中的mysql容器??
docker?exec?-it?mymysql?bash??
#?进入mysql指令模式??
mysql?-uroot?-proot??
??
#?编写MySQL语句并执行??
>?...??
--?选择mysql??
use?mysql;??
--?创建canal用户,账密:canal/canal??
create?user?'canal'@'%'?identified?by?'canal';??
--?分配权限,以及允许所有主机登录该用户??
grant?SELECT,?INSERT,?UPDATE,?DELETE,?REPLICATION?SLAVE,?REPLICATION?CLIENT?on?*.*?to?'canal'@'%';??
??
--?刷新一下使其生效??
flush?privileges;??
??
--?附带一个删除用户指令??
drop?user?'canal'@'%';??
用navicat或者shell去登录canal这个用户,可以访问即创建成功
有必要的话降低spring boot的版本:
<canal.version>1.1.5</canal.version>??
??
<!--canal-->??
<dependency>??
??<groupId>com.alibaba.otter</groupId>??
??<artifactId>canal.client</artifactId>??
??<version>${canal.version}</version>??
</dependency>??
<dependency>??
??<groupId>com.alibaba.otter</groupId>??
??<artifactId>canal.protocol</artifactId>??
??<version>${canal.version}</version>??
</dependency>??
import?com.alibaba.otter.canal.client.CanalConnector;??
import?com.alibaba.otter.canal.client.CanalConnectors;??
import?com.alibaba.otter.canal.protocol.CanalEntry;??
import?com.alibaba.otter.canal.protocol.Message;??
import?org.springframework.boot.CommandLineRunner;??
import?org.springframework.stereotype.Component;??
??
import?java.net.InetSocketAddress;??
import?java.util.List;??
??
@Component??
public?class?CanalClient?{??
??
????private?final?static?int?BATCH_SIZE?=?1000;??
??
????public?void?run()?{??
????????//?创建链接??
????????CanalConnector?connector?=?CanalConnectors.newSingleConnector(new?InetSocketAddress("localhost",?11111),?"canal-exchange",?"canal",?"canal");??
????????try?{??
????????????//打开连接??
????????????connector.connect();??
????????????//订阅数据库表,全部表??
????????????connector.subscribe(".*\..*");??
????????????//回滚到未进行ack的地方,下次fetch的时候,可以从最后一个没有ack的地方开始拿??
????????????connector.rollback();??
????????????while?(true)?{??
????????????????//?获取指定数量的数据??
????????????????Message?message?=?connector.getWithoutAck(BATCH_SIZE);??
????????????????//获取批量ID??
????????????????long?batchId?=?message.getId();??
????????????????//获取批量的数量??
????????????????int?size?=?message.getEntries().size();??
????????????????//如果没有数据??
????????????????if?(batchId?==?-1?||?size?==?0)?{??
????????????????????try?{??
????????????????????????//线程休眠2秒??
????????????????????????Thread.sleep(2000);??
????????????????????}?catch?(InterruptedException?e)?{??
????????????????????????e.printStackTrace();??
????????????????????}??
????????????????}?else?{??
????????????????????//如果有数据,处理数据??
????????????????????printEntry(message.getEntries());??
????????????????}??
????????????????//进行?batch?id?的确认。确认之后,小于等于此?batchId?的?Message?都会被确认。??
????????????????connector.ack(batchId);??
????????????}??
????????}?catch?(Exception?e)?{??
????????????e.printStackTrace();??
????????}?finally?{??
????????????connector.disconnect();??
????????}??
????}??
??
????/**??
?????*?打印canal?server解析binlog获得的实体类信息??
?????*/??
????private?static?void?printEntry(List<CanalEntry.Entry>?entrys)?{??
????????for?(CanalEntry.Entry?entry?:?entrys)?{??
????????????if?(entry.getEntryType()?==?CanalEntry.EntryType.TRANSACTIONBEGIN?||?entry.getEntryType()?==?CanalEntry.EntryType.TRANSACTIONEND)?{??
????????????????//开启/关闭事务的实体类型,跳过??
????????????????continue;??
????????????}??
????????????//RowChange对象,包含了一行数据变化的所有特征??
????????????//比如isDdl?是否是ddl变更操作?sql?具体的ddl?sql?beforeColumns?afterColumns?变更前后的数据字段等等??
????????????CanalEntry.RowChange?rowChage;??
????????????try?{??
????????????????rowChage?=?CanalEntry.RowChange.parseFrom(entry.getStoreValue());??
????????????}?catch?(Exception?e)?{??
????????????????throw?new?RuntimeException("ERROR?#?parser?of?eromanga-event?has?an?error?,?data:"?+?entry.toString(),?e);??
????????????}??
????????????//获取操作类型:insert/update/delete类型??
????????????CanalEntry.EventType?eventType?=?rowChage.getEventType();??
????????????//打印Header信息??
????????????System.out.println(String.format("================》;?binlog[%s:%s]?,?name[%s,%s]?,?eventType?:?%s",??
????????????????????entry.getHeader().getLogfileName(),?entry.getHeader().getLogfileOffset(),??
????????????????????entry.getHeader().getSchemaName(),?entry.getHeader().getTableName(),??
????????????????????eventType));??
????????????//判断是否是DDL语句??
????????????if?(rowChage.getIsDdl())?{??
????????????????System.out.println("================》;isDdl:?true,sql:"?+?rowChage.getSql());??
????????????}??
????????????//获取RowChange对象里的每一行数据,打印出来??
????????????for?(CanalEntry.RowData?rowData?:?rowChage.getRowDatasList())?{??
????????????????//如果是删除语句??
????????????????if?(eventType?==?CanalEntry.EventType.DELETE)?{??
????????????????????printColumn(rowData.getBeforeColumnsList());??
????????????????????//如果是新增语句??
????????????????}?else?if?(eventType?==?CanalEntry.EventType.INSERT)?{??
????????????????????printColumn(rowData.getAfterColumnsList());??
????????????????????//如果是更新的语句??
????????????????}?else?{??
????????????????????//变更前的数据??
????????????????????System.out.println("------->;?before");??
????????????????????printColumn(rowData.getBeforeColumnsList());??
????????????????????//变更后的数据??
????????????????????System.out.println("------->;?after");??
????????????????????printColumn(rowData.getAfterColumnsList());??
????????????????}??
????????????}??
????????}??
????}??
??
????private?static?void?printColumn(List<CanalEntry.Column>?columns)?{??
????????for?(CanalEntry.Column?column?:?columns)?{??
????????????System.out.println(column.getName()?+?"?:?"?+?column.getValue()?+?"????update="?+?column.getUpdated());??
????????}??
????}??
}??
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class CanalDemoApplication extends CommandLineRunner {
@Autowired
private CanalClient canalClient;
@Override
public void run(String... args) throws Exception {
canalClient.run();
}
public static void main(String[] args) {
SpringApplication.run(CanalDemoApplication.class, args);
}
}
????????启动程序,此时新增或修改数据库中的数据,我们就能从客户端中监听到