引入相关依赖
<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>
创建配置文件
# 服务端口 server.port=10000 # 服务名 spring.application.name=canal-client # 环境设置:dev、test、prod spring.profiles.active=dev # 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&characterEncoding=utf-8 spring.datasource.username=root spring.datasource.password=root
Canal环境搭建
需要先登录mysql数据库,检查binlog功能是否有开启。
mysql> show variables like 'log_bin';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| log_bin | OFF |
+---------------+-------+
1 row in set (0.00 sec)
如果显示状态为OFF表示该功能未开启,那么这个时候就需要到my.ini里面进行相关配置了,在原来的my.ini(my.cnf)配置底部插入以下内容:
server-id=192 log-bin=mysql-bin binlog_format = ROW
当再次通过客户端查看log_bin状态为ON的时候,就表示binlog已经开启:
mysql> show variables like 'log_bin';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| log_bin | ON |
+---------------+-------+
1 row in set (0.00 sec)
然后在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;
开启之后,我们可以前往canal的官方地址进行相应版本的安装包进行下载:
https://github.com/alibaba/canal/releases
下载好指定的版本之后,找到里面的bin目录底下的startup脚本,启动。
首先是导入相应的依赖文件:
<dependency> <groupId>com.alibaba.otter</groupId> <artifactId>canal.client</artifactId> <version>1.1.0</version> </dependency>
编写客户端类
开启canal的远程监听,当size大于0时,说明数据有变化,那么执行数据处理,有三种类型的数据处理,包括删除,修改,新增,每种数据处理都对应这特有的方法,而三种方法思路相同,都是将改变的数据拼接成对应的sql语句,然后放入队列中,当队列的大小大于0时就执行对应的方法,方法就是从队列中取出sql语句,然后把语句做执行,最终会在本地库中同步改变的数据。
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.Iterator; import java.util.List; import java.util.Queue; import java.util.concurrent.ConcurrentLinkedQueue; @Component public class CanalClient { //sql队列 private Queue<String> SQL_QUEUE = new ConcurrentLinkedQueue<>(); @Resource private DataSource dataSource; /** * canal入库方法 */ public void run() { CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.235.130", 11111), "example", "", ""); int batchSize = 1000; try { connector.connect(); connector.subscribe("guli.members"); 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<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); } } } } /** * 保存更新语句 * * @param 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(); } } /** * 保存删除语句 * * @param entry */ 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(); } } /** * 保存插入语句 * * @param entry */ 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(); } } /** * 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); } } }
修改启动类
实现一个接口,使得启动类启动时去调用canal客户端进行监听。
import com.renzhe.canal.client.CanalClient; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.CommandLineRunner; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class CanalApplication implements CommandLineRunner { @Autowired private CanalClient canalClient; public static void main(String[] args) { SpringApplication.run(CanalApplication.class,args); } @Override public void run(String... args) throws Exception { //项目启动,执行canal客户端监听 canalClient.run(); } }
https://www.cnblogs.com/javazhiyin/archive/2019/05/09/10836846.html
https://www.jianshu.com/p/9677ca6ca34e