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Spring Boot + MyBatis 实现站位标记系统实战

news 2025/9/18 8:25:10

项目背景

本系统主要用于地图站位小程序，通过地图站位展示贷款相关的地理位置信息，支持按不同条件筛选和统计，帮助业务人员更好地进行贷后管理。

核心功能分析

1. 功能架构

系统支持以下核心功能：

地图标记点展示（客户、担保人、抵押物）
表内外数据区分
距离范围筛选
多维度条件查询
贷款状态统计

2. Controller层实现

@RestController
@RequestMapping("/bank/app/mapwork")
public class AppMapworkController {@Autowiredprivate AppMapworkService appMapworkService;@GetMapping("/index")@Operation(summary = "首页")public CommonResult<?> getIndex(AppMapworkReqVO req) {Map<String, Object> data = new HashMap<>();data.put("normal",0);data.put("overdue",0);data.put("lawsuit",0);List<AppMapworkRespVO> result = new ArrayList<>();// IO标志处理逻辑boolean inFlag = false;boolean outFlag = false;if(StringUtils.isEmpty(req.getIoFlag())){inFlag = true;outFlag = true;}else{if("in".equals(req.getIoFlag())){inFlag = true;}else if("out".equals(req.getIoFlag())){outFlag = true;}else if("all".equals(req.getIoFlag())){inFlag = true;outFlag = true;}}// 表内数据查询if(inFlag){if(StringUtils.isEmpty(req.getOther())){// 查询全部类型List<AppMapworkRespVO> custList = appMapworkService.getCustomerInMark(req);List<AppMapworkRespVO> guarantorList = appMapworkService.getGuarantorInMark(req);List<AppMapworkRespVO> mortgageList = appMapworkService.getMortgageInMark(req);result.addAll(custList);result.addAll(guarantorList);result.addAll(mortgageList);}else{// 按类型查询if("cust".equals(req.getOther())){// 客户查询，特殊处理地址标记点List<AppMapworkRespVO> custList = appMapworkService.getCustomerInMark(req);if(UxUtil.isListNotEmpty(custList) && custList.size() == 1){AppMapworkRespVO cust = custList.get(0);List<AppMapworkRespVO> addressList = appMapworkService.getCustomerInAddressMark(req,cust.getMarkId());if(UxUtil.isListNotEmpty(addressList)){for(AppMapworkRespVO c : addressList){c.setLoanId(cust.getLoanId());c.setCustName(cust.getCustName());c.setContractCode(cust.getContractCode());c.setAmount(cust.getAmount());}result.addAll(addressList);}}result.addAll(custList);}// ... 其他类型处理}}// 表外数据查询（逻辑类似）if(outFlag){// ... 同表内处理逻辑}data.put("marks",result);data.put("total",result.size());// 贷款状态统计if(StringUtils.isNotEmpty(req.getOther()) && "cust".equals(req.getOther()) && UxUtil.isListNotEmpty(result)){Long normalCount = result.stream().filter(o -> (o.getOverdueFlag() == 0 && o.getLawsuitFlag() == 0)).count();Long overdueCount = result.stream().filter(o -> (o.getOverdueFlag() == 1 && o.getLawsuitFlag() == 0)).count();Long lawsuitCount = result.stream().filter(o -> (o.getLawsuitFlag() == 1)).count();data.put("normal",normalCount);data.put("overdue",overdueCount);data.put("lawsuit",lawsuitCount);}return success(data);}
}

Service层设计

@Service
@Validated
public class AppMapworkServiceImpl implements AppMapworkService {@Autowiredprivate MapworkMapper mapworkMapper;@Overridepublic List<AppMapworkRespVO> getCustomerInMark(AppMapworkReqVO req) {LambdaQueryWrapper<LoanInDO> queryWrapper = new LambdaQueryWrapper<>();// 模糊查询支持（客户名/代码/合同号）if(StringUtils.isNotEmpty(req.getCustName())){queryWrapper.apply(" (m.cust_name like {0} or m.cust_code like {1} or m.contract_code like {2} )",UxUtil.likeForSql(req.getCustName()),UxUtil.likeForSql(req.getCustName()),UxUtil.likeForSql(req.getCustName()));}// 状态筛选if(StringUtils.isNotEmpty(req.getStatus())){if("normal".equals(req.getStatus())){queryWrapper.apply(" (m.overdue_flag = {0} and m.lawsuit_flag = {1})", 0,0);}else if("overdue".equals(req.getStatus())){queryWrapper.apply(" (m.overdue_flag = {0} and m.lawsuit_flag = {1}) ", 1,0);}else if("lawsuit".equals(req.getStatus())){queryWrapper.apply(" m.lawsuit_flag = {0} ", 1);}}return mapworkMapper.getCustomerInMark(req,queryWrapper);}// 其他方法实现类似...
}

Mapper层核心技术

1. 站位计算

MapworkMapper.java

public interface MapworkMapper {List<AppMapworkRespVO> getCustomerInMark(@Param("req") AppMapworkReqVO req, @Param("ew") LambdaQueryWrapper<LoanInDO> queryWrapper);...
}

MapworkMapper.xml

<select id="getCustomerInMark" resultType="com.mxx.module.bank.controller.admin.app.vo.AppMapworkRespVO">SELECTcu.id * 10 + 1 as id,cu.id as mark_id,'ux_customer_in' as mark_type,cu.latitude as lat,cu.longitude as lng,m.overdue_flag,m.lawsuit_flag,1 as in_out_flag,m.id as loan_id,m.cust_code,m.cust_name,m.cust_id,m.contract_code,m.amount,cu.contact_way,cu.detail_address as address,<!-- 核心距离计算公式 -->ROUND(111.111 * sqrt(pow(cu.latitude - #{req.latitude}, 2) + pow(cos(radians(#{req.latitude})) * (cu.longitude - #{req.longitude}),2)), 2) AS distanceFROMux_loan_in mLEFT JOIN ux_customer_in cu ON cu.id = m.cust_idWHERE 1 = 1<if test="ew != null"><if test="ew.sqlSegment != null"><if test="ew.sqlSegment != ''">AND ${ew.sqlSegment}</if></if></if>AND m.deleted = 0AND cu.deleted = 0AND cu.latitude is not nullAND cu.longitude is not nullHAVING #{req.radius} > distance
</select>

2. 唯一ID生成策略

-- 不同类型标记点的唯一ID生成，避免ID冲突
cu.id * 10 + 1 as id,  -- 客户表内
cu.id * 10 + 2 as id,  -- 客户表外
cu.id * 10 + 3 as id,  -- 担保人表内
cu.id * 10 + 4 as id,  -- 担保人表外

技术亮点解析

1. 灵活的查询策略

系统支持多种组合查询：

ioFlag: in/out/all（表内/表外/全部）
other: cust/guarant/mortgage/all（客户/担保人/抵押物/全部）
status: normal/overdue/lawsuit（正常/逾期/诉讼）

2. 地理位置计算优化

-- 基于经纬度的距离计算，考虑地球曲率
ROUND(111.111 * sqrt(pow(cu.latitude - #{req.latitude}, 2) + pow(cos(radians(#{req.latitude})) * (cu.longitude - #{req.longitude}),2)), 2) AS distance

3. 数据聚合设计

// 多种业务类型统一返回VO
List<AppMapworkRespVO> result = new ArrayList<>();
result.addAll(custList);      // 客户
result.addAll(guarantorList); // 担保人
result.addAll(mortgageList);  // 抵押物