关于SpringBoot整合Canal数据同步的问题关于SpringBoot整合Canal数据同步

1、CentOS7编译安装MySQL5.7.24
2、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

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1、CentOS7编译安装MySQL5.7.24 CentOS7编译安装MySQL5.7.24的教程详解
【关于SpringBoot整合Canal数据同步的问题】链接地址：https://www.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.cnf
vi /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/canalcd /usr/local/canalcanal.deployer-1.1.4.tar.gztar 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=canalcanal.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.bootspring-boot-starter-webmysqlmysql-connector-javacommons-dbutilscommons-dbutilsorg.springframework.bootspring-boot-starter-jdbccom.alibaba.ottercanal.client

5 、修改properties配置文件

# mysql数据库连接spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driverspring.datasource.url=jdbc:mysql://localhost:3306/guli?serverTimezone=GMT%2B8spring.datasource.username=rootspring.datasource.password=123456

6、修改Application启动类

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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; @Componentpublic class CanalClient {//sql队列private Queue SQL_QUEUE = new ConcurrentLinkedQueue<>(); @Resourceprivate 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); } 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(); }}/*** 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) throwsInvalidProtocolBufferException {for (Entry entry : entrys) {if (EntryType.ROWDATA =https://www.it610.com/article/= 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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