[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
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
- log_bin (Binlog 开关，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'
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); } }
在编程的道路上，一往无前，埋头狂奔。
[奔跑的人生] | [segmentfault] | [spring4all] | [csdn] | [掘金] | [OSChina] | [简书] | [知乎] | [51CTO]
[奔跑的人生] | [segmentfault] | [spring4all] | [csdn] | [掘金] | [OSChina] | [简书] | [知乎] | [51CTO]
