标签：dbn row_count equals 数据一致性 autowire 数据恢复 eset pos temp
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。
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
show variables like ‘log_bin‘;查看)show variables like ‘binlog_format‘;查看)show binlog events[in ‘log_name‘][from position][limit [offset,]row_count]
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。
mysql-binlog-connector-java<!-- 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。
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。
@Data
@AllArgsConstructor
@NoArgsConstructor
public class BinlogTemplate {
//单数据库对应
private String database;
//多表
private List<JsonTable> tableList;
}/**
* 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;
}
}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<>();
}@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());
}
}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;
}
);
}
}
}@Data
public class BinlogRowData {
private TableTemplate tableTemplate;
private EventType eventType;
private List<Map<String, String>> before;
private List<Map<String, String>> after;
}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();
}
}
}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);
}@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();
}
}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. 使用开源组件监听Binlog 实现增量索引准备
标签：dbn row_count equals 数据一致性 autowire 数据恢复 eset pos temp
原文地址：https://www.cnblogs.com/zhangpan1244/p/11329817.html
