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Canal-保存mysql篇

2022-04-10 00:00:07 作者：互联网

Canal-保存mysql篇

一、java实现

先用java代码手写一遍，方便后续业务逻辑理解

1、maven配置：

<dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <!--mysql-->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.24</version>
        </dependency>

        <dependency>
            <groupId>commons-dbutils</groupId>
            <artifactId>commons-dbutils</artifactId>
            <version>1.6</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>

        <dependency>
            <groupId>com.alibaba.otter</groupId>
            <artifactId>canal.client</artifactId>
            <version>1.1.4</version>
        </dependency>

2、application.properties配置

# 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/cancal_mysql?serverTimezone=GMT%2B8
spring.datasource.username=root
spring.datasource.password=603409875

3、代码实现

首先声明一个队列来接收sql语句

		//sql队列
    private Queue<String> SQL_QUEUE = new ConcurrentLinkedQueue<>();
		@Resource
    private DataSource dataSource;

编写主流程方法

// 创建链接
        CanalConnector connector = CanalConnectors.newSingleConnector(
                new InetSocketAddress("127.0.0.1",
                11111), "example", "", "");
        int batchSize = 1000;
        try {
            connector.connect();
            connector.subscribe("cancal_mysql\\..*");//订阅cancal_mysql库下的全表
            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 {
                        //数据处理
                        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();
        }

数据处理方法

 /**
     * 数据处理
     *
     * @param entrys
     */
    private void dataHandle(List<CanalEntry.Entry> entrys) throws InvalidProtocolBufferException {
        for (CanalEntry.Entry entry : entrys) {
            if (CanalEntry.EntryType.ROWDATA == entry.getEntryType()) {
                CanalEntry.RowChange rowChange = CanalEntry.RowChange.parseFrom(entry.getStoreValue());
                CanalEntry.EventType eventType = rowChange.getEventType();
                if (eventType == CanalEntry.EventType.DELETE) {
                    saveDeleteSql(entry);
                } else if (eventType == CanalEntry.EventType.UPDATE) {
                    saveUpdateSql(entry);
                } else if (eventType == CanalEntry.EventType.INSERT) {
                    saveInsertSql(entry);
                }
            }
        }
    }

解析sql并保存sql语句方法

删除(只做了简单的语句删除，下面类似)

/**
     * 保存删除语句
     *
     * @param entry
     */
    private void saveDeleteSql(CanalEntry.Entry entry) {
        try {
            CanalEntry.RowChange rowChange = CanalEntry.RowChange.parseFrom(entry.getStoreValue());
            List<CanalEntry.RowData> rowDatasList = rowChange.getRowDatasList();
            for (CanalEntry.RowData rowData : rowDatasList) {
                List<CanalEntry.Column> columnList = rowData.getBeforeColumnsList();
                StringBuffer sql = new StringBuffer("delete from " + entry.getHeader().getTableName() + " where ");
                for (CanalEntry.Column column : columnList) {
                    if (column.getIsKey()) {
                        //暂时只支持单一主键
                        if(column.getMysqlType().contains("varchar")){
                            sql.append(column.getName() + "='" + column.getValue()+"'");
                        }else {
                            sql.append(column.getName() + "=" + column.getValue());
                        }
                        break;
                    }
                }
                SQL_QUEUE.add(sql.toString());
            }
        } catch (InvalidProtocolBufferException e) {
            e.printStackTrace();
        }
    }

新增

/**
     * 保存插入语句
     *
     * @param entry
     */
    private void saveInsertSql(CanalEntry.Entry entry) {
        try {
            CanalEntry.RowChange rowChange = CanalEntry.RowChange.parseFrom(entry.getStoreValue());
            List<CanalEntry.RowData> rowDatasList = rowChange.getRowDatasList();
            for (CanalEntry.RowData rowData : rowDatasList) {
                List<CanalEntry.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();
        }
    }

修改

/**
     * 保存更新语句
     *
     * @param entry
     */
    private void saveUpdateSql(CanalEntry.Entry entry) {
        try {
            CanalEntry.RowChange rowChange = CanalEntry.RowChange.parseFrom(entry.getStoreValue());
            List<CanalEntry.RowData> rowDatasList = rowChange.getRowDatasList();
            for (CanalEntry.RowData rowData : rowDatasList) {
                List<CanalEntry.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<CanalEntry.Column> oldColumnList = rowData.getBeforeColumnsList();
                for (CanalEntry.Column column : oldColumnList) {
                    if (column.getIsKey()) {
                        //暂时只支持单一主键
                        if(column.getMysqlType().contains("varchar")){
                            sql.append(column.getName() + "='" + column.getValue()+"'");
                        }else {
                            sql.append(column.getName() + "=" + column.getValue());
                        }
                        break;
                    }
                }
                SQL_QUEUE.add(sql.toString());
            }
        } catch (InvalidProtocolBufferException e) {
            e.printStackTrace();
        }
    }

jdbc操作

 /**
     * 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.update(con, sql);
            System.out.println("update: "+ row);
        } catch (SQLException e) {
            e.printStackTrace();
        } finally {
            DbUtils.closeQuietly(con);
        }
    }

4、效果

运行sql语句：

INSERT INTO `tb_commodity_info` ( `id`, `commodity_name`, `commodity_price`, `number`, `description` )
VALUES
	( '030acbd3b71011ecb9760242ac110005', '测试0001', '5.88', 11, '描述信息0001' );

执行结果：

库1:

库2:

二、使用canal.adapter来做实现

上面的代码初步可以实现一般情况下的数据迁移，接下来我们来实现一下给予adapter的方式

1、安装canal.adapter

先从github上将adapter下载下来

wget https://github.com/alibaba/canal/releases/download/canal-1.1.5/canal.adapter-1.1.5.tar.gz
wget https://github.com/alibaba/canal/releases/download/canal-1.1.5-alpha-2/canal.adapter-1.1.5-SNAPSHOT.tar.gz

解压

mkdir /tmp/canal_adapter
tar zxvf canal.adapter-1.1.5.tar.gz  -C /tmp/canal_adapter

修改配置文件conf/application.yml

server:
  port: 8081
spring:
  jackson:
    date-format: yyyy-MM-dd HH:mm:ss
    time-zone: GMT+8
    default-property-inclusion: non_null

canal.conf:
  mode: tcp #tcp kafka rocketMQ rabbitMQ
  flatMessage: true
  zookeeperHosts:
  syncBatchSize: 1000
  retries: 0
  timeout:
  accessKey:
  secretKey:
  consumerProperties:
    # canal tcp consumer
    canal.tcp.server.host: 127.0.0.1:11111
    canal.tcp.zookeeper.hosts:
    canal.tcp.batch.size: 500
    canal.tcp.username:
    canal.tcp.password:
    # kafka consumer
    #kafka.bootstrap.servers: 127.0.0.1:9092
    #kafka.enable.auto.commit: false
    #kafka.auto.commit.interval.ms: 1000
    #kafka.auto.offset.reset: latest
    #kafka.request.timeout.ms: 40000
#    kafka.session.timeout.ms: 30000
#    kafka.isolation.level: read_committed
#    kafka.max.poll.records: 1000
    # rocketMQ consumer
#    rocketmq.namespace:
#    rocketmq.namesrv.addr: 127.0.0.1:9876
#    rocketmq.batch.size: 1000
#    rocketmq.enable.message.trace: false
#    rocketmq.customized.trace.topic:
#    rocketmq.access.channel:
#    rocketmq.subscribe.filter:
    # rabbitMQ consumer
#    rabbitmq.host:
#    rabbitmq.virtual.host:
#    rabbitmq.username:
#    rabbitmq.password:
#    rabbitmq.resource.ownerId:

  srcDataSources:
    defaultDS:
      url: jdbc:mysql://源数据库ip:端口/cancal_mysql?useUnicode=true
      username: root
      password: root
  canalAdapters:
  - instance: example # canal instance Name or mq topic name
    groups:
    - groupId: g1
      outerAdapters:
#      - name: logger
      - name: rdb
        key: mysql1
        properties:
          jdbc.driverClassName: com.mysql.jdbc.Driver
          jdbc.url: jdbc:mysql://127.0.0.1:3306/cancal_mysql?useUnicode=true
          jdbc.username: root
          jdbc.password: 603409875
#      - name: rdb
#        key: oracle1
#        properties:
#          jdbc.driverClassName: oracle.jdbc.OracleDriver
#          jdbc.url: jdbc:oracle:thin:@localhost:49161:XE
#          jdbc.username: mytest
#          jdbc.password: m121212
#      - name: rdb
#        key: postgres1
#        properties:
#          jdbc.driverClassName: org.postgresql.Driver
#          jdbc.url: jdbc:postgresql://localhost:5432/postgres
#          jdbc.username: postgres
#          jdbc.password: 121212
#          threads: 1
#          commitSize: 3000
#      - name: hbase
#        properties:
#          hbase.zookeeper.quorum: 127.0.0.1
#          hbase.zookeeper.property.clientPort: 2181
#          zookeeper.znode.parent: /hbase
#      - name: es
#        hosts: 127.0.0.1:9300 # 127.0.0.1:9200 for rest mode
#        properties:
#          mode: transport # or rest
#          # security.auth: test:123456 #  only used for rest mode
#          cluster.name: elasticsearch
#        - name: kudu
#          key: kudu
#          properties:
#            kudu.master.address: 127.0.0.1 # ',' split multi address

修改conf/rdb/tb_commodity_info.yml

修改需要监听的表名为yml，若监听多个表可以生产多个yml

mv mytest_user.yml tb_commodity_info.yml

在修改配置文件

dataSourceKey: defaultDS
destination: example
groupId: g1
outerAdapterKey: mysql1
concurrent: true
dbMapping:
  database: cancal_mysql
  table: tb_commodity_info
  targetTable: tb_commodity_info
  targetPk:
    id: id
  mapAll: true
#  targetColumns:
#    id:
#    name:
#    role_id:
#    c_time:
#    test1:
#  etlCondition: "where c_time>={}"
  commitBatch: 3000 # 批量提交的大小


## Mirror schema synchronize config
#dataSourceKey: defaultDS
#destination: example
#groupId: g1
#outerAdapterKey: mysql1
#concurrent: true
#dbMapping:
#  mirrorDb: true
#  database: mytest

注意：由于我存的是mysql8，所以需要在lib中加入8的mysql-connector-java-8.0.24.jar
执行启动命令

sh bin/startup.sh

不出意外的果然出意外了

由于出现了意外，所以我们吧源码拉下来跑一遍后，更换了上面的配置等问题，终于成功了

三、源码解析

1、拉取源码到本地

git clone https://github.com/alibaba/canal.git

2、打开项目

3、修改配置

adapter项目启动入口是client-adapter包下的launcher模块

修改配置文件：application.yml与rdb目录下的tb_commodity_info.yml

4、启动项目

启动类CanalAdapterApplication

5、记录问题

spi找不到rdb扩展实现类

通过源码追溯

在启动时，依据配置需要加载rdb的spi，需要在之前加载logger，所以需要在配置中加入logger

canalAdapters:
    - instance: example # canal instance Name or mq topic name
      groups:
        - groupId: g1
          outerAdapters:
          - name: logger   #解决此bug问题
            - name: rdb
              key: mysql1
              properties:
                jdbc.driverClassName: com.mysql.jdbc.Driver
                jdbc.url: jdbc:mysql://localhost:3306/cancal_mysql?serverTimezone=GMT%2B8
                jdbc.username: root
                jdbc.password: 603409875

解决了logger问题后还是有上面问题

这时候可以将client-adapter的maven进行install一遍，会出现不少缺jar包的方式，我执行时缺了俩个jar

将这俩个jar打包出来后，在install adapter就可以了

注意：若还不行，可以先将launcher package然后在执行

mysql1的kay找不到bug

进入ConfigLoader&load(Properties envProperties)方法中，看到加载表映射关系，跟代码后发现，说没有映射文件

为了查这个问题，我又跑到spi加载文件的地方去查，查到加载的路径是：

canal/1.1.5/canal-canal-1.1.5/client-adapter/launcher/target/canal-adapter/plugin/client-adapter.rdb-1.1.5-jar-with-dependencies.jar

打开jar包，原来是之前没改的时候的jar，此时又去查询install了rdb的包，在重新pack一遍，终于可以运行了

标签：Canal,canal,jdbc,CanalEntry,mysql,保存,sql,entry
来源： https://www.cnblogs.com/java5wanping/p/16124352.html

Canal-保存mysql篇

Canal-保存mysql篇

一、java实现

1、maven配置：

2、application.properties配置

3、代码实现

4、效果

二、使用canal.adapter来做实现

1、安装canal.adapter

先从github上将adapter下载下来

解压

三、源码解析

1、拉取源码到本地

2、打开项目

3、修改配置

4、启动项目

5、记录问题