微前端架构如何改变企业的开发模式与效率提升
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2022-10-24
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-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-/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-fvi /etc/my-f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-安装Canal服务
-:https://github.com/alibaba/canal/releases(1)-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
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-.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
@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
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
for (RowData rowData : rowDatasList) {
List
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
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
for (RowData rowData : rowDatasList) {
List
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
for (RowData rowData : rowDatasList) {
List
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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