canal1.1.7实战
1.环境搭建
canal可以用来监听mysql数据库的变化,用来同步数据
先下载最新的部署版本,release地址:Releases · alibaba/canal · GitHub
包下载地址: https://github.com/alibaba/canal/releases/download/canal-1.1.7/canal.deployer-1.1.7.tar.gz
下载完后,在linux上新建一个canal文件夹,放入tar包解压: tar -zxvf canal.xxx.tar.gz
解压完后修改配置文件
查看conf/canal.properties,其中canal.port是客户端连接的端口,需要放开,canal.admin.user和canal.admin.passwd是客户端连接的账号
再打开conf/example/ instance.properties, master.address填数据库地址,dbUsername和dbPassword是数据库账号,flter.regex可以用来过滤数据库,默认是监听所有数据库,如果想监听db_开头的数据可以这么写db_.*\\..*,多个用逗号分隔
修改完成后,进入bin目录,执行./startup.sh是启动,./stop.sh是关闭
进入logs/example,执行tail -f -n 300 example.log,看到以下输出说明搭建成功了
2.客户端代码
引入依赖
<dependencies>
<dependency>
<groupId>com.alibaba.otter</groupId>
<artifactId>canal.client</artifactId>
<version>1.1.7</version>
</dependency>
<dependency>
<groupId>com.alibaba.otter</groupId>
<artifactId>canal.protocol</artifactId>
<version>1.1.7</version>
</dependency>
</dependencies>
代码实现:
package cn.hollycloud.iplatform;
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 com.google.protobuf.ByteString;
import com.google.protobuf.InvalidProtocolBufferException;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.junit.Test;
import java.net.InetSocketAddress;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
/**
* Unit test for simple App.
*/
@Slf4j
public class CanalTest {
private Map<String, String> errorMap = new HashMap<>();
@Test
public void testCanal() {
initThread();
}
private void initThread() {
new Thread(new Runnable() {
@Override
public void run() {
while (true) {
try {
initConnect();
} catch (Exception e) {
String key = "canal_connection_error";
if (!hasSameError(key, e.getMessage())) {
log.error("canal连接出错: {}", e);
}
}
try {
Thread.sleep(10000);
} catch (InterruptedException e) {
}
}
}
}).start();
}
private void initConnect() {
String canalIp = "localhost";
int canalPort = 11111;
String canalDestination = "example";
String canalUsername = "admin";
String canalPassword = "123456";
CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress(canalIp,
canalPort), canalDestination, canalUsername, canalPassword);
int batchSize = 200;
try {
connector.connect(); // 连接到canal server
connector.subscribe("db_.*\\..*"); // 订阅指定的消息
connector.rollback(); // 回滚到未进行ack 的地方
log.info("canal连接成功");
while (true) {
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) {
try {
//未获取到消息则睡眠
Thread.sleep(2000);
} catch (InterruptedException e) {
}
} else {
try {
//处理消息
log.info("从canal接收到: {} 条消息,消息批次: {},开始处理", size, message.getId());
handleMessage(message.getEntries());
} catch (Exception e) {
connector.rollback(batchId); // 处理失败, 回滚数据
String key = "canal_sync_data_error";
String errMsg = e.getMessage();
if (StringUtils.isEmpty(errMsg)) errMsg = e.toString();
if (!hasSameError(key, errMsg)) {
log.error("同步数据出错: {}", e);
}
//休眠一段时间继续获取数据
try {
Thread.sleep(10000);
} catch (InterruptedException ex) {
ex.printStackTrace();
}
continue;
}
}
connector.ack(batchId); // 提交确认
}
} finally {
connector.disconnect();
}
}
private boolean hasSameError(String key, String error) {
String lastError = errorMap.get(key);
if (Objects.equals(lastError, error)) {
return true;
}
errorMap.put(key, error);
return false;
}
private void handleMessage(List<CanalEntry.Entry> entrys) throws InvalidProtocolBufferException {
for (CanalEntry.Entry entry : entrys) {
if (entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONBEGIN || entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONEND) {
continue;
}
//根据数据库名获取租户名
String databaseName = entry.getHeader().getSchemaName();
String tableName = entry.getHeader().getTableName();
log.info("数据库: {}, 表名: {}", databaseName, tableName);
// 获取类型
CanalEntry.EntryType entryType = entry.getEntryType();
// 获取序列化后的数据
ByteString storeValue = entry.getStoreValue();
if (CanalEntry.EntryType.ROWDATA.equals(entryType)) {
// 反序列化数据
CanalEntry.RowChange rowChange = CanalEntry.RowChange.parseFrom(storeValue);
// 获取当前事件的操作类型
CanalEntry.EventType eventType = rowChange.getEventType();
if (eventType == CanalEntry.EventType.INSERT || eventType == CanalEntry.EventType.UPDATE
|| eventType == CanalEntry.EventType.DELETE) {
// 获取数据集
List<CanalEntry.RowData> rowDataList = rowChange.getRowDatasList();
// 遍历rowDataList,并打印数据集
for (CanalEntry.RowData rowData : rowDataList) {
List<CanalEntry.Column> afterColumnsList = rowData.getAfterColumnsList();
List<CanalEntry.Column> beforeColumnsList = rowData.getBeforeColumnsList();
// 变更前数据
for (CanalEntry.Column column : beforeColumnsList) {
log.info("变更前数据: name: {}, value: {}", column.getName(), column.getValue());
}
// 变更后数据
for (CanalEntry.Column column : afterColumnsList) {
log.info("变更后数据: name: {}, value: {}", column.getName(), column.getValue());
}
}
}
}
}
}
}