[Spring cloud 一步步实现广告系统] 15. Binlog 增量准备

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[Spring cloud 一步步实现广告系统] 15. Binlog 增量准备

Isaac Zhang 2019-08-11 12:52:12 浏览226
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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]

UTOOLS1565224352749.png

UTOOLS1565224799877.png

  • 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

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;

UTOOLS1565227012106.png

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'

UTOOLS1565311337937.png

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);
    }
}

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