Hutoll简介:
Hutool是一个小而全的Java工具类库,通过静态方法封装,降低相关API的学习成本,提高工作效率,使Java拥有函数式语言般的优雅,让Java语言也可以“甜甜的”。
Hutool中的工具方法来自每个用户的精雕细琢,它涵盖了Java开发底层代码中的方方面面,它既是大型项目开发中解决小问题的利器,也是小型项目中的效率担当;
Hutool网站:
Hutool🍬一个功能丰富且易用的Java工具库,涵盖了字符串、数字、集合、编码、日期、文件、IO、加密、数据库JDBC、JSON、HTTP客户端等功能。
业务需求:
需要我去通过各种不同的id找到不同的表,最后的重点是通过数据库表里存的连接信息,用户名和密码去指定数据库类型(比如MySql、DM等)数据库做链接然后找到对应数据表里的所有信息。
pom文件增加Hutool依赖
<!-- hutool依赖 --> <dependency> <groupId>cn.hutool</groupId> <artifactId>hutool-all</artifactId> <version>5.8.25</version> </dependency>
代码
/**
* @Title: getDataPreview
* @Description: 数据资产拿到数据库的数据
* @author: sxy
* @date 2025-02-20
* @return ResultData
*/
@PostMapping(value = "/getDataPreview")
public ResultData getDataPreview(Long code) throws SQLException {
//通过code找到med_data_dictory表的dd_scheme_id
if (code == null) {
return ResultData.error(ResultData.PARAM_ERROR_CODE, "参数错误");
}
DataDictoryDto dataDictory = dataDictoryMapper.getInfo(code);
Long schemeId = dataDictory.getSchemaId();
//获取数据库表名字
String tableName = dataDictory.getTableName();
//通过dd_scheme_id找到med_data_scheme表的ds_pk_id
DataSchema dataSchema = dataSchemaMapper.selectById(schemeId);
//获取数据源id
Long dataBaseSourceId = dataSchema.getDsDatabaseId();
//通过ds_pk_id去和云平台的ma_dataBase_source表的id去匹配拿到数据库的链接
//通过数据源id去云平台ma_dataBase_source表里找数据
JSONObject manageDataSource = cloudFlowUtil.getManageDataSource(dataBaseSourceId);
MaDataSourceDto maDataSourceDto = new MaDataSourceDto();
if (manageDataSource.getInteger("code") == 20000) {
maDataSourceDto=JSONObject.parseObject(manageDataSource.getString("data"), MaDataSourceDto.class);
}
String dbType = maDataSourceDto.getDbType();
String url = maDataSourceDto.getUrl();
String userName = maDataSourceDto.getUserName();
String password = maDataSourceDto.getPassword();
String driverClassName = maDataSourceDto.getDriverClassName();
//引入hutool工具包创建数据源对象
DruidDataSource ds = new DruidDataSource();
//判断数据库类型是否为MySql
if (dbType.equals("MySql")){
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("DM")){
//判断数据库类型是否为达梦数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if(dbType.equals("Oracle")){
//判断数据库类型是否为Oracle数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("Marinadb")){
//判断数据库类型是否为Marinadb数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("SQLServer")){
//判断数据库类型是否为SQLServer数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("PostgreSQL")){
//判断数据库类型是否为PostgreSQL数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("瀚高")){
//判断数据库类型是否为瀚高数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}else if (dbType.equals("Hive")){
//判断数据库类型是否为Hive数据库
ds.setUrl(url);
ds.setUsername(userName);
ds.setPassword(password);
ds.setDriverClassName(driverClassName);
Connection conn = ds.getConnection();
//查询数据
List<Entity> entityList = SqlExecutor.query(conn, "select * from " + tableName , new EntityListHandler());
return ResultData.success("ok",entityList);
}
return ResultData.success("ok");
}
cloudFlowUtil:
public JSONObject getManageDataSource(Long code) {
HttpHeaders headers = new HttpHeaders();
headers.setContentType(MediaType.APPLICATION_JSON);
headers.add(StpUtil.getTokenName(), StpUtil.getTokenValue());
ResponseEntity<String> postForEntity = restTemplate.postForEntity(
BASE_URL + "maDataSource/getInfoDataAsset?code=" + code, headers, String.class);
JSONObject reData = JSONObject.parseObject(postForEntity.getBody());
return reData;
}
返回数据: