[Spring cloud 一步步实现广告系统] 15. 监听Binlog 增量索引准备

发布时间：2020-07-05 02:55:00 作者：zhangpan0614
来源：网络阅读：513

MySQL Binlog简介

什么是binlog?

一个二进制日志，用来记录对数据发生或潜在发生更改的SQL语句，并以而进行的形式保存在磁盘中。

binlog 的作用？

最主要有3个用途：

数据复制（主从同步）

Mysql 的Master-Slave协议，让Slave可以通过监听binlog实现数据复制，达到数据一致性目的

数据恢复

通过mysqlbinlog工具恢复数据

增量备份

Binlog 变量
- log_bin (Binlog 开关，使用show variables like 'log_bin';查看)
- binlog_format (Binlog 日志格式，使用show variables like 'binlog_format';查看)
日志格式总共有三种：
- ROW，仅保存记录被修改的细节，不记录SQL语句上下文相关信息。（能清晰的记录下每行数据的修改细节，不需要记录上下文相关信息，因此不会发生某些特定情况下的procedure、function以及trigger 的调用无法被准确复制的问题，任何情况下都可以被复制，且能加快从库重放日志的效率，保证从库数据的一致性）
- STATEMENT，每一条修改数据的SQL都会被记录。（只记录执行语句的细节和上下文环境，避免了记录每一行的变化，在一些修改记录较多的情况下，相比ROW类型能大大减少binlog的日志量，节约IO,提高性能。还可以用于实时的还原，同时主从版本可以不一样，从服务器版本可以比主服务器版本高）
- MIXED，上述2种的混合使用
Binlog 管理
- show master logs; 查看所有binlog的日志列表
- show master status; 查看最后一个binlog日志编号名称，以及最后一个事件技术的位置（position）
- Flush logs; 刷新binlog,此刻开始产生一个新编号的binlog日志文件
- reset master; 清空所有的binlog日志
Binlog 相关SQL show binlog events[in 'log_name'][from position][limit [offset,]row_count]
常用的Binlog event
- QUERY - 与数据无关的操作，begin、drop table、truncate table等等
- TABLE_MAP - 记录下一个操作所对应的表信息，存储了数据库名称和表名称
- XID - 标记事务提交
- WRITE_ROWS 插入数据，即insert操作
- UPDATE_ROWS 更新数据，即update操作
- DELETE_ROWS 删除数据，即delete操作

Event包含header和data两部分，header提供了event的创建时间，哪个服务器等信息，data部分提供的是针对该event的具体信息，如具体数据的修改。

Tip: binlog不会记录数据表的列名

在接下来的实现中，我们会将自己的系统包装成一个假的Mysql Slave，通过开源工具mysql-binlog-connector-java来实现监听binlog。

开源工具mysql-binlog-connector-java

工具源码：Github传送门

组件使用

1.加依赖

<!-- binlog 日志监听,解析开源工具类库 -->
<dependency>
  <groupId>com.github.shyiko</groupId>
  <artifactId>mysql-binlog-connector-java</artifactId>
  <version>0.18.1</version>
</dependency>

2.创建一个测试接口

package com.sxzhongf.ad.service;

import com.github.shyiko.mysql.binlog.BinaryLogClient;
import com.github.shyiko.mysql.binlog.event.DeleteRowsEventData;
import com.github.shyiko.mysql.binlog.event.EventData;
import com.github.shyiko.mysql.binlog.event.UpdateRowsEventData;
import com.github.shyiko.mysql.binlog.event.WriteRowsEventData;

import java.io.IOException;

/**
* BinlogServiceTest for 测试Mysql binlog 监控
* {@code
* Mysql8 连接提示 Client does not support authentication protocol requested by server; consider upgrading MySQL client 解决方法
* USE mysql;
* ALTER USER 'root'@'localhost' IDENTIFIED WITH mysql_native_password BY 'password';
* FLUSH PRIVILEGES;
* }
*
* @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
*/
public class BinlogServiceTest {

  /**
   * --------Update-----------
   * UpdateRowsEventData{tableId=90, includedColumnsBeforeUpdate={0, 1, 2, 3, 4, 5, 6, 7}, includedColumns={0, 1, 2, 3, 4, 5, 6, 7}, rows=[
   *     {before=[11, 10, Test Bin Log, 1, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019], after=[11, 10, zhangpan test Binlog, 1, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019, Tue Jun 25 08:00:00 CST 2019]}
   * ]}
   *
   * --------Insert-----------
   * WriteRowsEventData{tableId=91, includedColumns={0, 1, 2, 3, 4, 5, 6, 7}, rows=[
   *     [10, 11, ad unit test binlog, 1, 0, 1236.7655, Thu Jun 27 08:00:00 CST 2019, Thu Jun 27 08:00:00 CST 2019]
   * ]}
   */

  public static void main(String[] args) throws IOException {

//        //构造BinaryLogClient，填充mysql链接信息
      BinaryLogClient client = new BinaryLogClient("127.0.0.1", 3306,
              "root", "12345678"
      );

      //设置需要读取的Binlog的文件以及位置，否则，client会从"头"开始读取Binlog并监听
//        client.setBinlogFilename("binlog.000035");
//        client.setBinlogPosition();

      //给客户端注册监听器，实现对Binlog的监听和解析
      //event 就是监听到的Binlog变化信息，event包含header & data 两部分
      client.registerEventListener(event -> {
          EventData data = event.getData();
          if (data instanceof UpdateRowsEventData) {
              System.out.println("--------Update-----------");
              System.out.println(data.toString());
          } else if (data instanceof WriteRowsEventData) {
              System.out.println("--------Insert-----------");
              System.out.println(data.toString());
          } else if (data instanceof DeleteRowsEventData) {
              System.out.println("--------Delete-----------");
              System.out.println(data.toString());
          }
      });

      client.connect();
  }
}

运行：

八月 08, 2019 9:13:32 上午 com.github.shyiko.mysql.binlog.BinaryLogClient connect
信息: Connected to 127.0.0.1:3306 at binlog.000038/951 (sid:65535, cid:336)
...

执行sql update ad_user set user_status=1 where user_id=10;

[Spring cloud 一步步实现广告系统] 15. 监听Binlog 增量索引准备

我们需要知道的是，我们的目的是实现对Mysql数据表的变更实现监听，并解析成我们想要的格式，也就是我们的java对象。根据上面我们看到的监听结果，我们知道了返回信息的大概内容，既然我们已经学会了简单的使用BinaryLogClient 来监听binlog，接下来，我们需要定义一个监听器，来实现我们自己的业务内容。

因为我们只需要Event中的内容，那么我们也就只需要通过实现com.github.shyiko.mysql.binlog.BinaryLogClient.EventListener接口，来自定义一个监听器实现我们的业务即可。通过Event的内容，来判定是否需要处理当前event以及如何处理。

构造解析binlog的模版文件

我们监听binlog来构造增量数据的根本原因，是为了将我们的广告投放系统和广告检索系统 业务解耦，由于我们的检索系统中没有定义数据库以及数据表的相关，所以，我们通过定义一份模版文件，通过解析模版文件来得到我们需要的数据库和表信息，因为binlog的监听是不区分是哪个数据库和哪个数据表信息的，我们可以通过模版来指定我们想要监听的部分。

{
  "database": "advertisement",
  "tableList": [
    {
      "tableName": "ad_plan",
      "level": 2,
      "insert": [
        {
          "column": "plan_id"
        },
        {
          "column": "user_id"
        },
        {
          "column": "plan_status"
        },
        {
          "column": "start_date"
        },
        {
          "column": "end_date"
        }
      ],
      "update": [
        {
          "column": "plan_id"
        },
        {
          "column": "user_id"
        },
        {
          "column": "plan_status"
        },
        {
          "column": "start_date"
        },
        {
          "column": "end_date"
        }
      ],
      "delete": [
        {
          "column": "plan_id"
        }
      ]
    },
    {
      "tableName": "ad_unit",
      "level": 3,
      "insert": [
        {
          "column": "unit_id"
        },
        {
          "column": "unit_status"
        },
        {
          "column": "position_type"
        },
        {
          "column": "plan_id"
        }
      ],
      "update": [
        {
          "column": "unit_id"
        },
        {
          "column": "unit_status"
        },
        {
          "column": "position_type"
        },
        {
          "column": "plan_id"
        }
      ],
      "delete": [
        {
          "column": "unit_id"
        }
      ]
    },
    {
      "tableName": "ad_creative",
      "level": 2,
      "insert": [
        {
          "column": "creative_id"
        },
        {
          "column": "type"
        },
        {
          "column": "material_type"
        },
        {
          "column": "height"
        },
        {
          "column": "width"
        },
        {
          "column": "audit_status"
        },
        {
          "column": "url"
        }
      ],
      "update": [
        {
          "column": "creative_id"
        },
        {
          "column": "type"
        },
        {
          "column": "material_type"
        },
        {
          "column": "height"
        },
        {
          "column": "width"
        },
        {
          "column": "audit_status"
        },
        {
          "column": "url"
        }
      ],
      "delete": [
        {
          "column": "creative_id"
        }
      ]
    },
    {
      "tableName": "relationship_creative_unit",
      "level": 3,
      "insert": [
        {
          "column": "creative_id"
        },
        {
          "column": "unit_id"
        }
      ],
      "update": [
      ],
      "delete": [
        {
          "column": "creative_id"
        },
        {
          "column": "unit_id"
        }
      ]
    },
    {
      "tableName": "ad_unit_district",
      "level": 4,
      "insert": [
        {
          "column": "unit_id"
        },
        {
          "column": "province"
        },
        {
          "column": "city"
        }
      ],
      "update": [
      ],
      "delete": [
        {
          "column": "unit_id"
        },
        {
          "column": "province"
        },
        {
          "column": "city"
        }
      ]
    },
    {
      "tableName": "ad_unit_hobby",
      "level": 4,
      "insert": [
        {
          "column": "unit_id"
        },
        {
          "column": "hobby_tag"
        }
      ],
      "update": [
      ],
      "delete": [
        {
          "column": "unit_id"
        },
        {
          "column": "hobby_tag"
        }
      ]
    },
    {
      "tableName": "ad_unit_keyword",
      "level": 4,
      "insert": [
        {
          "column": "unit_id"
        },
        {
          "column": "keyword"
        }
      ],
      "update": [
      ],
      "delete": [
        {
          "column": "unit_id"
        },
        {
          "column": "keyword"
        }
      ]
    }
  ]
}

上面的模版文件中，指定了一个数据库为advertisement，大家可以方便添加多个监听库。在数据库下面，我们监听了几个表的CUD操作以及每个操作所需要的字段信息。

实现模版 —> Java Entity

定义模版文件对应的实体

@Data
@AllArgsConstructor
@NoArgsConstructor
public class BinlogTemplate {
    //单数据库对应
  private String database;
    //多表
  private List<JsonTable> tableList;
}

对应的json 中 table信息

/**
* JsonTable for 用于表示template.json中对应的表信息
*
* @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
*/
@Data
@AllArgsConstructor
@NoArgsConstructor
public class JsonTable {
  private String tableName;
  private Integer level;

  private List<Column> insert;
  private List<Column> update;
  private List<Column> delete;

  @Data
  @AllArgsConstructor
  @NoArgsConstructor
  public static class Column {
      private String columnName;
  }
}

读取的对应表信息对象（最主要目的就是为了能将字段索引 映射到 字段名称）

@Data
@AllArgsConstructor
@NoArgsConstructor
public class TableTemplate {
  private String tableName;
  private String level;

    //操作类型 -> 多列
  private Map<OperationTypeEnum, List<String>> opTypeFieldSetMap = new HashMap<>();

  /**
   * Binlog日志中 字段索引 -> 字段名称 的一个转换映射
   * 因为binlog中不会显示更新的列名是什么，它只会展示字段的索引，因此我们需要实现一次转换
   */
  private Map<Integer, String> posMap = new HashMap<>();
}

解析模版文件到java对象

@Data
public class ParseCustomTemplate {

  private String database;

  /**
   * key -> TableName
   * value -> {@link TableTemplate}
   */
  private Map<String, TableTemplate> tableTemplateMap;

  public static ParseCustomTemplate parse(BinlogTemplate _template) {
      ParseCustomTemplate template = new ParseCustomTemplate();
      template.setDatabase(_template.getDatabase());

      for (JsonTable jsonTable : _template.getTableList()) {
          String name = jsonTable.getTableName();
          Integer level = jsonTable.getLevel();

          TableTemplate tableTemplate = new TableTemplate();
          tableTemplate.setTableName(name);
          tableTemplate.setLevel(level.toString());
          template.tableTemplateMap.put(name, tableTemplate);

          //遍历操作类型对应的列信息
          Map<OperationTypeEnum, List<String>> operationTypeListMap = tableTemplate.getOpTypeFieldSetMap();

          for (JsonTable.Column column : jsonTable.getInsert()) {
              getAndCreateIfNeed(
                      OperationTypeEnum.ADD,
                      operationTypeListMap,
                      ArrayList::new
              ).add(column.getColumnName());
          }

          for (JsonTable.Column column : jsonTable.getUpdate()) {
              getAndCreateIfNeed(
                      OperationTypeEnum.UPDATE,
                      operationTypeListMap,
                      ArrayList::new
              ).add(column.getColumnName());
          }

          for (JsonTable.Column column : jsonTable.getDelete()) {
              getAndCreateIfNeed(
                      OperationTypeEnum.DELETE,
                      operationTypeListMap,
                      ArrayList::new
              ).add(column.getColumnName());
          }
      }

      return template;
  }

  /**
   * 从Map中获取对象，如果不存在，创建一个
   */
  private static <T, R> R getAndCreateIfNeed(T key, Map<T, R> map, Supplier<R> factory) {
      return map.computeIfAbsent(key, k -> factory.get());
  }
}

解析字段索引 -> 字段名称的一个转换映射

首先，我们来看一下binlog的具体日志信息：

--------Insert-----------
WriteRowsEventData{tableId=91, includedColumns={0, 1, 2, 3, 4, 5, 6, 7}, rows=[
[10, 11, ad unit test binlog, 1, 0, 1236.7655, Thu Jun 27 08:00:00 CST 2019, Thu Jun 27 08:00:00 CST 2019]
--------Update-----------
UpdateRowsEventData{tableId=81, includedColumnsBeforeUpdate={0, 1, 2, 3, 4, 5}, includedColumns={0, 1, 2, 3, 4, 5}, rows=[
  {before=[10, Isaac Zhang, 2D3ABB6F2434109A105170FB21D00453, 0, Fri Jun 21 15:07:53 CST 2019, Fri Jun 21 15:07:53 CST 2019], after=[10, Isaac Zhang, 2D3ABB6F2434109A105170FB21D00453, 1, Fri Jun 21 15:07:53 CST 2019, Fri Jun 21 15:07:53 CST 2019]}

可以看到，在日志中includedColumns只包含了{0, 1, 2, 3, 4, 5}位置信息，那么我们怎么能知道它具体代表的是哪个字段呢，接下来我们来实现这步映射关系，在实现之前，我们先来查询一下数据库中我们的表中字段所处的具体位置：

sql> SELECT table_schema,table_name,column_name,ordinal_position FROM information_schema.COLUMNS
WHERE TABLE_SCHEMA = 'advertisement' AND TABLE_NAME='ad_user'

[Spring cloud 一步步实现广告系统] 15. 监听Binlog 增量索引准备

我们可以看到ordinal_position对应的是1-6，可是上面监听到的binlog日志索引是0-5，所以我们就可以看出来之间的对应关系。

我们开始编码实现，我们使用JdbcTemplate进行查询数据库信息：

@Slf4j
@Component
public class TemplateHolder {
  private ParseCustomTemplate template;

  private final JdbcTemplate jdbcTemplate;

  private String SQL_SCHEMA = "SELECT TABLE_SCHEMA,TABLE_NAME,COLUMN_NAME,ORDINAL_POSITION FROM information_schema.COLUMNS " +
          "WHERE TABLE_SCHEMA = ? AND TABLE_NAME = ?";

  @Autowired
  public TemplateHolder(JdbcTemplate jdbcTemplate) {
      this.jdbcTemplate = jdbcTemplate;
  }

  /**
   * 需要在容器加载的时候，就载入数据信息
   */
  @PostConstruct
  private void init() {
      loadJSON("template.json");
  }

  /**
   * 对外提供加载服务
   */
  public TableTemplate getTable(String tableName) {
      return template.getTableTemplateMap().get(tableName);
  }

  /**
   * 加载需要监听的binlog json文件
   */
  private void loadJSON(String path) {
      ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
      InputStream inputStream = classLoader.getResourceAsStream(path);

      try {
          BinlogTemplate binlogTemplate = JSON.parseObject(
                  inputStream,
                  Charset.defaultCharset(),
                  BinlogTemplate.class
          );

          this.template = ParseCustomTemplate.parse(binlogTemplate);
          loadMeta();
      } catch (IOException ex) {
          log.error((ex.getMessage()));
          throw new RuntimeException("fail to parse json file");
      }
  }

  /**
   * 加载元信息
   * 使用表索引到列名称的映射关系
   */
  private void loadMeta() {
      for (Map.Entry<String, TableTemplate> entry : template.getTableTemplateMap().entrySet()) {
          TableTemplate table = entry.getValue();

          List<String> updateFields = table.getOpTypeFieldSetMap().get(
                  OperationTypeEnum.UPDATE
          );
          List<String> insertFields = table.getOpTypeFieldSetMap().get(
                  OperationTypeEnum.ADD
          );
          List<String> deleteFields = table.getOpTypeFieldSetMap().get(
                  OperationTypeEnum.DELETE
          );

          jdbcTemplate.query(SQL_SCHEMA, new Object[]{
                          template.getDatabase(), table.getTableName()
                  }, (rs, i) -> {
                      int pos = rs.getInt("ORDINAL_POSITION");
                      String colName = rs.getString("COLUMN_NAME");

                      if ((null != updateFields && updateFields.contains(colName))
                          || (null != insertFields && insertFields.contains(colName))
                          || (null != deleteFields && deleteFields.contains(colName))) {
                                   table.getPosMap().put(pos - 1, colName);
                      }
                      return null;
                  }
          );
      }
  }
}

监听binlog实现
定义Event 解析所需要转换的java对象

@Data
public class BinlogRowData {

    private TableTemplate tableTemplate;

    private EventType eventType;

    private List<Map<String, String>> before;

    private List<Map<String, String>> after;

}

定义binlog client BinaryLogClient

/**
 * CustomBinlogClient for 自定义Binlog Client
 *
 * @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
 * @since 2019/6/27
 */
@Slf4j
@Component
public class CustomBinlogClient {

    private BinaryLogClient client;

    private final BinlogConfig config;
    private final AggregationListener listener;

    @Autowired
    public CustomBinlogClient(BinlogConfig config, AggregationListener listener) {
        this.config = config;
        this.listener = listener;
    }

    public void connect() {
        new Thread(() -> {
            client = new BinaryLogClient(
                    config.getHost(),
                    config.getPort(),
                    config.getUsername(),
                    config.getPassword()
            );

            if (!StringUtils.isEmpty(config.getBinlogName()) && !config.getPosition().equals(-1L)) {
                client.setBinlogFilename(config.getBinlogName());
                client.setBinlogPosition(config.getPosition());
            }

            try {
                log.info("connecting to mysql start...");
                client.connect();
                log.info("connecting to mysql done!");
            } catch (IOException e) {
                e.printStackTrace();
            }
        }).start();
    }

    public void disconnect() {
        try {
            log.info("disconnect to mysql start...");
            client.disconnect();
            log.info("disconnect to mysql done!");
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

使用client注册事件监听器com.github.shyiko.mysql.binlog.BinaryLogClient.EventListener

/**
 * Ilistener for 为了后续扩展不同的实现
 *
 * @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
 */
public interface Ilistener {

    void register();

    void onEvent(BinlogRowData eventData);
}

监听Binlog, 收集mysql binlog datas

@Slf4j
@Component
public class AggregationListener implements BinaryLogClient.EventListener {

    private String dbName;
    private String tbName;

    private Map<String, Ilistener> listenerMap = new HashMap<>();

    @Autowired
    private TemplateHolder templateHolder;

    private String genKey(String dbName, String tbName) {
        return dbName + ":" + tbName;
    }

    /**
     * 根据表实现注册信息
     */
    public void register(String dbName, String tbName, Ilistener listener) {
        log.info("register : {}-{}", dbName, tbName);
        this.listenerMap.put(genKey(dbName, tbName), listener);
    }

    @Override
    public void onEvent(Event event) {

        EventType type = event.getHeader().getEventType();
        log.info("Event type: {}", type);

        //数据库增删改之前，肯定有一个table_map event 的binlog
        if (type == EventType.TABLE_MAP) {
            TableMapEventData data = event.getData();
            this.tbName = data.getTable();
            this.dbName = data.getDatabase();
            return;
        }

        //EXT_UPDATE_ROWS 是Mysql 8以上的type
        if (type != EventType.EXT_UPDATE_ROWS
                && type != EventType.EXT_WRITE_ROWS
                && type != EventType.EXT_DELETE_ROWS
                ) {
            return;
        }

        // 检查表名和数据库名是否已经正确填充
        if (StringUtils.isEmpty(dbName) || StringUtils.isEmpty(tbName)) {
            log.error("Meta data got error. tablename:{},database:{}", tbName, dbName);
            return;
        }

        //找出对应数据表敏感的监听器
        String key = genKey(this.dbName, this.tbName);
        Ilistener ilistener = this.listenerMap.get(key);
        if (null == ilistener) {
            log.debug("skip {}", key);
        }

        log.info("trigger event:{}", type.name());

        try {
            BinlogRowData rowData = convertEventData2BinlogRowData(event.getData());
            if (null == rowData) {
                return;
            }
            rowData.setEventType(type);
            ilistener.onEvent(rowData);

        } catch (Exception e) {
            e.printStackTrace();
            log.error(e.getMessage());
        } finally {
            this.dbName = "";
            this.tbName = "";
        }
    }

    /**
     * 解析Binlog数据到Java实体对象的映射
     *
     * @param data binlog
     * @return java 对象
     */
    private BinlogRowData convertEventData2BinlogRowData(EventData data) {
        TableTemplate tableTemplate = templateHolder.getTable(tbName);
        if (null == tableTemplate) {
            log.warn("table {} not found.", tbName);
            return null;
        }

        List<Map<String, String>> afterMapList = new ArrayList<>();

        for (Serializable[] after : getAfterValues(data)) {
            Map<String, String> afterMap = new HashMap<>();

            int columnLength = after.length;
            for (int i = 0; i < columnLength; ++i) {
                //取出当前位置对应的列名
                String colName = tableTemplate.getPosMap().get(i);
                //如果没有，则说明不需要该列
                if (null == colName) {
                    log.debug("ignore position: {}", i);
                    continue;
                }

                String colValue = after[i].toString();
                afterMap.put(colName, colValue);
            }

            afterMapList.add(afterMap);
        }

        BinlogRowData binlogRowData = new BinlogRowData();
        binlogRowData.setAfter(afterMapList);
        binlogRowData.setTableTemplate(tableTemplate);

        return binlogRowData;
    }

    /**
     * 获取不同事件的变更后数据
     * Add & Delete变更前数据假定为空
     */
    private List<Serializable[]> getAfterValues(EventData eventData) {

        if (eventData instanceof WriteRowsEventData) {
            return ((WriteRowsEventData) eventData).getRows();
        }

        if (eventData instanceof UpdateRowsEventData) {
            return ((UpdateRowsEventData) eventData).getRows()
                                                    .stream()
                                                    .map(Map.Entry::getValue)
                                                    .collect(Collectors.toList()
                                                    );
        }

        if (eventData instanceof DeleteRowsEventData) {
            return ((DeleteRowsEventData) eventData).getRows();
        }

        return Collections.emptyList();
    }
}

解析binlog 数据对象BinlogRowData ,用于增量索引的后续处理

/**
 * MysqlRowData for 简化{@link BinlogRowData} 以方便实现增量索引的实现
 *
 * @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
 */
@Data
@AllArgsConstructor
@NoArgsConstructor
public class MysqlRowData {

    //实现多数据的时候，需要传递数据库名称
    //private String database;
    private String tableName;
    private String level;
    private OperationTypeEnum operationTypeEnum;
    private List<Map<String, String>> fieldValueMap = new ArrayList<>();
}

因为我们需要将Binlog EventType转换为我们的操作类型OperationTypeEnum，所以，我们在OperationTypeEnum中添加一个转换方法：

public enum OperationTypeEnum {
...
    public static OperationTypeEnum convert(EventType type) {
        switch (type) {
            case EXT_WRITE_ROWS:
                return ADD;
            case EXT_UPDATE_ROWS:
                return UPDATE;
            case EXT_DELETE_ROWS:
                return DELETE;
            default:
                return OTHER;
        }
    }
}

我们还需要定义一个表包含的各个列名称的java类，方便我们后期对数据表的CUD操作：

package com.sxzhongf.ad.mysql.constant;

import java.util.HashMap;
import java.util.Map;

/**
 * Constant for 各个列名称的java类，方便我们后期对数据表的CUD操作
 *
 * @author <a href="mailto:magicianisaac@gmail.com">Isaac.Zhang | 若初</a>
 */
public class Constant {

    private static final String DATABASE_NAME = "advertisement";

    public static class AD_PLAN_TABLE_INFO {

        public static final String TABLE_NAME = "ad_plan";

        public static final String COLUMN_PLAN_ID = "plan_id";
        public static final String COLUMN_USER_ID = "user_id";
        public static final String COLUMN_PLAN_STATUS = "plan_status";
        public static final String COLUMN_START_DATE = "start_date";
        public static final String COLUMN_END_DATE = "end_date";
    }

    public static class AD_CREATIVE_TABLE_INFO {

        public static final String TABLE_NAME = "ad_creative";

        public static final String COLUMN_CREATIVE_ID = "creative_id";
        public static final String COLUMN_TYPE = "type";
        public static final String COLUMN_MATERIAL_TYPE = "material_type";
        public static final String COLUMN_HEIGHT = "height";
        public static final String COLUMN_WIDTH = "width";
        public static final String COLUMN_AUDIT_STATUS = "audit_status";
        public static final String COLUMN_URL = "url";
    }

    public static class AD_UNIT_TABLE_INFO {

        public static final String TABLE_NAME = "ad_unit";

        public static final String COLUMN_UNIT_ID = "unit_id";
        public static final String COLUMN_UNIT_STATUS = "unit_status";
        public static final String COLUNN_POSITION_TYPE = "position_type";
        public static final String COLUNN_PLAN_ID = "plan_id";
    }

    public static class RELATIONSHIP_CREATIVE_UNIT_TABLE_INFO {

        public static final String TABLE_NAME = "relationship_creative_unit";

        public static final String COLUMN_CREATIVE_ID = "creative_id";
        public static final String COLUMN_UNIT_ID = "unit_id";
    }

    public static class AD_UNIT_DISTRICT_TABLE_INFO {

        public static final String TABLE_NAME = "ad_unit_district";

        public static final String COLUMN_UNIT_ID = "unit_id";
        public static final String COLUMN_PROVINCE = "province";
        public static final String COLUMN_CITY = "city";
    }

    public static class AD_UNIT_KEYWORD_TABLE_INFO {

        public static final String TABLE_NAME = "ad_unit_keyword";

        public static final String COLUMN_UNIT_ID = "unit_id";
        public static final String COLUMN_KEYWORD = "keyword";
    }

    public static class AD_UNIT_HOBBY_TABLE_INFO {

        public static final String TABLE_NAME = "ad_unit_hobby";

        public static final String COLUMN_UNIT_ID = "unit_id";
        public static final String COLUMN_HOBBY_TAG = "hobby_tag";
    }

    //key -> 表名
    //value -> 数据库名
    public static Map<String, String> table2db;

    static {
        table2db = new HashMap<>();
        table2db.put(AD_PLAN_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(AD_CREATIVE_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(AD_UNIT_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(RELATIONSHIP_CREATIVE_UNIT_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(AD_UNIT_DISTRICT_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(AD_UNIT_HOBBY_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
        table2db.put(AD_UNIT_KEYWORD_TABLE_INFO.TABLE_NAME, DATABASE_NAME);
    }
}

[Spring cloud 一步步实现广告系统] 15. 监听Binlog 增量索引准备

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