这篇文章主要介绍“SpringBoot整合Canal数据同步的方法”，在日常操作中，相信很多人在SpringBoot整合Canal数据同步的方法问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”SpringBoot整合Canal数据同步的方法”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
1、CentOS7编译安装MySQL5.7.24
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_membermysql 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.sh4、Boot项目中引入依赖
<dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <!--mysql--> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>commons-dbutils</groupId> <artifactId>commons-dbutils</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency> <dependency> <groupId>com.alibaba.otter</groupId> <artifactId>canal.client</artifactId> </dependency> </dependencies>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=1234566、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;@Componentpublic class CanalClient { //sql队列 private Queue<String> SQL_QUEUE = new ConcurrentLinkedQueue<>(); @Resource private DataSource dataSource; public void run() { CanalConnector connector = CanalConnectors.newSingleConnector(new 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(); } } 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()); } } private void dataHandle(List<Entry> 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); } } } } private void saveUpdateSql(Entry entry) { try { RowChange rowChange = RowChange.parseFrom(entry.getStoreValue()); List<RowData> rowDatasList = rowChange.getRowDatasList(); for (RowData rowData : rowDatasList) { List<Column> 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<Column> 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(); } } private void saveDeleteSql(Entry entry) { try { RowChange rowChange = RowChange.parseFrom(entry.getStoreValue()); List<RowData> rowDatasList = rowChange.getRowDatasList(); for (RowData rowData : rowDatasList) { List<Column> 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(); } } private void saveInsertSql(Entry entry) { try { RowChange rowChange = RowChange.parseFrom(entry.getStoreValue()); List<RowData> rowDatasList = rowChange.getRowDatasList(); for (RowData rowData : rowDatasList) { List<Column> 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(); } } 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); } }}到此，关于“SpringBoot整合Canal数据同步的方法”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注编程网网站，小编会继续努力为大家带来更多实用的文章！
