历经了前面的各种安装，终于到canal的安装和配置了。这里依然采用docker-compose安装.

1、编写docker-compose.yml文件

version: '3'

services:

canal-server:

image: canal/canal-server:v1.1.3

container_name: canal-server

ports:

- 11111:11111

environment:

- canal.instance.mysql.slaveId=12

- canal.auto.scan=false

- canal.destinations=test

- canal.instance.master.address=192.168.1.9:3306

- canal.instance.dbUsername=canal

- canal.instance.dbPassword=canal

- canal.mq.topic=test

- canal.instance.filter.regex=esen_approval.apt_approval

volumes:

- ./conf:/canal-server/conf

- ./logs:/canal-server/logs

2、说明

canal.instance.mysql.slaveId：slaveId不能与mysql的serverId一样

canal.instance.master.address：mysql地址

canal.instance.dbUsername：mysql账号

canal.instance.dbPassword：mysql密码

3、启动

docker-compose up -d

4、到这一步，我们就实现了canal同步mysql binlog数据了

5、我们来测试下

1)我们采用maven，构建一个项目。加入pom

com.alibaba.otter

canal.client

1.1.0

2)在数据库里面有一个库test，我们新建一个表

CREATE TABLE `user` (

`id` bigint(20) NOT NULL AUTO_INCREMENT,

`name` varchar(255) DEFAULT NULL,

PRIMARY KEY (`id`)

) ENGINE=InnoDB

3)编写测试类

public class Cannel {

public static void main(String args[]) {

// 创建链接

CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("10.10.10.10",

11111), "test", "xxxx", "xxxx");

int batchSize = 1000;

int emptyCount = 0;

try {

connector.connect();

connector.subscribe(".*\\..*");

connector.rollback();

int totalEmptyCount = 120;

while (emptyCount < totalEmptyCount) {

Message message = connector.getWithoutAck(batchSize); // 获取指定数量的数据

long batchId = message.getId();

int size = message.getEntries().size();

if (batchId == -1 || size == 0) {

emptyCount++;

System.out.println("empty count : " + emptyCount);

try {

Thread.sleep(1000);

} catch (InterruptedException e) {

}

} else {

emptyCount = 0;

// System.out.printf("message[batchId=%s,size=%s] \n", batchId, size);

printEntry(message.getEntries());

}

connector.ack(batchId); // 提交确认

// connector.rollback(batchId); // 处理失败, 回滚数据

}

System.out.println("empty too many times, exit");

} finally {

connector.disconnect();

}

}

private static void printEntry(List entrys) {

for (CanalEntry.Entry entry : entrys) {

if (entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONBEGIN || entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONEND) {

continue;

}

CanalEntry.RowChange rowChage = null;

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);

}

CanalEntry.EventType eventType = rowChage.getEventType();

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));

for (CanalEntry.RowData rowData : rowChage.getRowDatasList()) {

if (eventType == CanalEntry.EventType.DELETE) {

printColumn(rowData.getBeforeColumnsList());

} else if (eventType == CanalEntry.EventType.INSERT) {

printColumn(rowData.getAfterColumnsList());

} else {

System.out.println("-------> before");

printColumn(rowData.getBeforeColumnsList());

System.out.println("-------> after");

printColumn(rowData.getAfterColumnsList());

}

}

}

}

private static void printColumn(List columns) {

for (CanalEntry.Column column : columns) {

System.out.println(column.getName() + " : " + column.getValue() + " update=" + column.getUpdated());

}

}

}

4)运行main方法，我们在数据库表user中insert、update，查看控制台的信息

，我们会收到binlogs信息。完美，我们实现了初步的同步。