[Spring cloud 一步步实现广告系统] 15. 使用开源组件监听Binlog 实现增量索引准备

江枫思渺然 提交于 2019-11-26 18:03:14
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;

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' 

    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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