关于SpringBoot整合Canal数据同步的问题

关于SpringBoot整合Canal数据同步的问题

目录1、CentOS7编译安装mysql5.7.242、Mysql设置binLog配置3、linux下载安装Canal服务4、Boot项目中引入依赖5、修改properties配置文件6、修改Application启动类7、创建Canal配置类自动监听

1、CentOS7编译安装MySQL5.7.24

CentOS7编译安装MySQL5.7.24的教程详解

链接地址：https://jb51.net/article/152246.htm

2、Mysql设置binLog配置

（1）检查binlog功能是否有开启（2）如果显示状态为OFF表示该功能未开启，开启binlog功能

mysql> show variables like 'log_bin';

+---------------+-------+

| Variable_name | Value |

+---------------+-------+

| log_bin | OFF |

+---------------+-------+

1 row in set (0.00 sec)

1，修改 mysql 的配置文件 my.cnfvi /etc/my.cnf追加内容：

log-bin=mysql-bin #binlog文件名

binlog_format=ROW #选择row模式

server_id=1 #mysql实例id,不能和canal的slaveId重复

2，重启 mysql：service mysql restart

3，登录 mysql 客户端，查看 log_bin 变量

mysql> show variables like 'log_bin';

+---------------+-------+

| Variable_name | Value |

+---------------+-------+

| log_bin | ON|

+---------------+-------+

1 row in set (0.00 sec)

如果显示状态为ON表示该功能已开启

（3）在mysql里面添加以下的相关用户和权限

CREATE USER 'canal'@'%' IDENTIFIED BY 'canal';

GRANT SHOW VIEW, SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO

'canal'@'%';

FLUSH PRIVILEGES;

3、Linux下载安装Canal服务

下载地址：https://github.com/alibaba/canal/releases（1）下载之后，放到目录中，解压文件

mkdir /usr/local/canal

cd /usr/local/canal

canal.deployer-1.1.4.tar.gz

tar zxvf canal.deployer-1.1.4.tar.gz

（2）修改配置文件vi conf/example/instance.properties

#需要改成自己的数据库信息

canal.instance.master.address=39.106.224.236:3306

#需要改成自己的数据库用户名与密码

canal.instance.dbUsername=canal

canal.instance.dbPassword=canal

#需要改成同步的数据库表规则

#1、同步所有的表

canal.instance.filter.regex=.*\\..*

#2、需要同步的那个库中的那个表

#canal.instance.filter.regex=guli_ucenter.ucenter_member

mysql 数据解析关注的表，Perl正则表达式.多个正则之间以逗号(,)分隔，转义符需要双斜杠(\)常见例子：

所有表：.* or .\…canal schema下所有表： canal\…*canal下的以canal打头的表：canal\.canal.*canal schema下的一张表：canal.test1多个规则组合使用：canal\…*,mysql.test1,mysql.test2 (逗号分隔)注意：此过滤条件只针对row模式的数据有效(ps. mixed/statement因为不解析sql，所以无法准确提取tableName进行过滤).

（3）进入bin目录下启动

./startup.sh

4、Boot项目中引入依赖

org.springframework.boot

spring-boot-starter-web

mysql

mysql-connector-java

commons-dbutils

commons-dbutils

org.springframework.boot

spring-boot-starter-jdbc

com.alibaba.otter

canal.client

5 、修改properties配置文件

# mysql数据库连接

spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver

spring.datasource.url=jdbc:mysql://localhost:3306/guli?serverTimezone=GMT%2B8

spring.datasource.username=root

spring.datasource.password=123456

6、修改Application启动类

7、创建Canal配置类自动监听

注意： 在run()方法中自行修改Linux虚拟机Ip地址后直接使用！

package com.atguigu.canal.client;

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.InvalidProtocolBufferException;

import org.apache.commons.dbutils.DbUtils;

import org.apache.commons.dbutils.QueryRunner;

import org.springframework.stereotype.Component;

import javax.annotation.Resource;

import javax.sql.DataSource;

import java.net.InetSocketAddress;

import java.sql.Connection;

import java.sql.SQLException;

import java.util.List;

import java.util.Queue;

import java.util.concurrent.ConcurrentLinkedQueue;

@Component

public class CanalClient {

//sql队列

private Queue SQL_QUEUE = new ConcurrentLinkedQueue<>();

@Resource

private DataSource dataSource;

/**

* canal入库方法

*/

public void run() {

CanalConnector connector = CanalConnectors.newSingleConnector(new

/*

* 此处Ip地址为linux虚拟机地址

* 端口号为固定 11111

* 其他不用修改

*/

InetSocketAddress("39.106.224.236",

11111), "example", "", "");

int batchSize = 1000;

try {

connector.connect();

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

connector.rollback();

try {

while (true) {

//尝试从master那边拉去数据batchSize条记录，有多少取多少

Message message = connector.getWithoutAck(batchSize);

long batchId = message.getId();

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

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

Thread.sleep(1000);

http:// } else {

dataHandle(message.getEntries());

}

connector.ack(batchId);

//当队列里面堆积的sql大于一定数值的时候就模拟执行

if (SQL_QUEUE.size() >= 1) {

executeQueueSql();

}

}

} catch (InterruptedException e) {

e.printStackTrace();

} catch (InvalidProtocolBufferException e) {

e.printStackTrace();

}

} finally {

connector.disconnect();

VKuMjphU }

}

/**

* 模拟执行队列里面的sql语句

*/

public void executeQueueSql() {

int size = SQL_QUEUE.size();

for (int i = 0; i < size; i++) {

String sql = SQL_QUEUE.poll();

System.out.println("[sql]----> " + sql);

this.execute(sql.toString());

}

}

/**

* 数据处理

* @param entrys

*/

private void dataHandle(List entrys) throws

InvalidProtocolBufferException {

for (Entry entry : entrys) {

if (EntryType.ROWDATA == entry.getEntryType()) {

RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());

EventType eventType = rowChange.getEventType();

if (eventType == EventType.DELETE) {

saveDeleteSql(entry);

} else if (eventType == EventType.UPDATE) {

saveUpdateSql(entry);

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

saveInsertSql(entry);

}

}

}

}

/**

* 保存更新语句

* @param entry

*/

private void saveUpdateSql(Entry entry) {

try {

RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());

List rowDatasList = rowChange.getRowDatasList();

for (RowData rowData : rowDatasList) {

List newColumnList = rowData.getAfterColumnsList();

StringBuffer sql = new StringBuffer("update " +

entry.getHeader().getTableName() + " set ");

for (int i = 0; i < newColumnList.size(); i++) {

sql.append(" " + newColumnList.get(i).getName()

+ " = '" + newColumnList.get(i).getValue() + "'");

if (i != newColumnList.size() - 1) {

sql.append(",");

}

}

sql.append(" where ");

List oldColumnList = rowData.getBeforeColumnsList();

for (Column column : oldColumnList) {

if (column.getIsKey()) {

//暂时只支持单一主键

sql.append(column.getName() + "=" + column.getValue());

break;

}

}

SQL_QUEUE.add(sql.toString());

}

} catch (InvalidProtocolBufferException e) {

e.printStackTrace();

}

}

/**

* 保存删除语句

*

* @param entry

*/

private void saveDeleteSql(Entry entry) {

try {

RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());

List rowDatasList = rowChange.getRowDatasList();

for (RowData rowData : rowDatasList) {

List columnList = rowData.getBeforeColumnsList();

StringBuffer sql = new StringBuffer("delete from " +

entry.getHeader().getTableName() + " where ");

for (Column column : columnList) {

if (column.getIsKey()) {

//暂时只支持单一主键

sql.append(column.getName() + "=" + column.getValue());

break;

}

}

SQL_QUEUE.add(sql.toString());

}

} catch (InvalidProtocolBufferException e) {

e.printStackTrace();

}

}

/**

* 保存插入语句

*

* @param entry

*/

private void saveInsertSql(Entry entry) {

try {

RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());

List rowDatasList = rowChange.getRowDatasList();

for (RowData rowData : rowDatasList) {

List columnList = rowData.getAfterColumnsList();

StringBuffer sql = new StringBuffer("insert into "+entry.getHeader().getTableName() + " (");

for (int i = 0; i < columnList.size(); i++) {

sql.append(columnList.get(i).getName());

if (i != columnList.size() - 1) {

sql.append(",");

}

}

sql.append(") VALUES (");

for (int i = 0; i < columnList.size(); i++) {

sql.append("'" + columnList.get(i).getValue() + "'");

if (i != columnList.size() - 1) {

sql.append(",");

}

}

sql.append(")");

SQL_QUEUE.add(sql.toString());

}

} catch (InvalidProtocolBufferException e) {

e.printStackTrace();

}

}

/**

* 入库

* @param sql

*/

public void execute(String sql) {

Connection con = null;

try {

if(null == sql) return;

con = dataSource.getConnection();

QueryRunner qr = new QueryRunner();

int row = qr.execute(con, sql);

System.out.println("update: "+ row);

} catch (SQLException e) {

e.printStackTrace();

} finally {

DbUtils.closeQuietly(con);

}

}

}

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