以下是一个基于苏宁易购模式设计的"凌优购"电商APP开发方案,融合O2O新零售特点,采用Spring Cloud+Flutter+Elasticsearch技术栈:
用户端 (Flutter跨平台) 商家端 (React管理后台) 配送端 (Android SDK)
↑ ↑ ↑
API网关 (Spring Cloud Gateway)
↑
微服务集群 (商品/订单/会员/营销)
↑
数据中台 (HBase+Elasticsearch+Redis)
↑
基础设施 (K8s集群+阿里云IoT)
// 商品三级分类+属性管理
@Entity
public class Product {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@ElementCollection
@CollectionTable(name="product_specs")
private Map<String, String> specifications; // 商品规格
@Embedded
private PriceStrategy priceStrategy; // 价格策略(满减/折扣/会员价)
}
// 分布式库存服务
@RestController
@RequestMapping("/inventory")
public class InventoryController {
@DistributedLock(key = "#skuId")
@PostMapping("/deduct")
public Boolean deductStock(@RequestParam String skuId,
@RequestParam Integer quantity) {
// 使用Redis+Lua保证原子性
String script = "if redis.call('get', KEYS[1]) >= ARGV[1] then " +
"return redis.call('decrby', KEYS[1], ARGV[1]) " +
"else return -1 end";
Long result = redisTemplate.execute(
new DefaultRedisScript<>(script, Long.class),
Collections.singletonList("stock:"+skuId),
quantity.toString());
return result != -1;
}
}
// Flutter配送地图集成
class DeliveryTrackingPage extends StatefulWidget {
_DeliveryTrackingPageState createState() => _DeliveryTrackingPageState();
}
class _DeliveryTrackingPageState extends State<DeliveryTrackingPage> {
final Completer<GoogleMapController> _controller = Completer();
Set<Marker> _createMarkers(DeliveryInfo info) {
return {
Marker(
markerId: MarkerId('store'),
position: LatLng(info.storeLat, info.storeLng),
icon: BitmapDescriptor.defaultMarkerWithHue(120.0)
),
Marker(
markerId: MarkerId('rider'),
position: LatLng(info.riderLat, info.riderLng),
icon: BitmapDescriptor.defaultMarkerWithHue(0.0)
),
Marker(
markerId: MarkerId('user'),
position: LatLng(info.userLat, info.userLng),
icon: BitmapDescriptor.defaultMarkerWithHue(240.0)
)
};
}
Widget build(BuildContext context) {
return GoogleMap(
initialCameraPosition: CameraPosition(
target: LatLng(31.2304, 121.4737),
zoom: 12,
),
markers: _createMarkers(deliveryInfo),
onMapCreated: (controller) => _controller.complete(controller),
);
}
}
-- 促销活动组合策略表
CREATE TABLE promotion_strategy (
id BIGINT PRIMARY KEY AUTO_INCREMENT,
strategy_type ENUM('COUPON','DISCOUNT','GIFT','POINT'),
condition JSON NOT NULL, -- {"minAmount":100, "applicableCates":[1,3]}
benefit JSON NOT NULL, -- {"discountRate":0.2, "maxDiscount":50}
overlap_rules VARCHAR(50) -- 叠加规则(互斥/叠加/优先)
);
-- 用户领券中心
CREATE TABLE user_coupon (
id BIGINT PRIMARY KEY,
user_id BIGINT,
coupon_template_id BIGINT,
status ENUM('UNUSED','USED','EXPIRED'),
obtain_time DATETIME,
expire_time DATETIME,
INDEX idx_user_status (user_id, status)
);
# 基于Three.js的3D门店展示
import json
from django.http import JsonResponse
def generate_store_3dmodel(store_id):
store = Store.objects.get(id=store_id)
model_data = {
"metadata": {"version": 4.5},
"geometries": [],
"materials": [],
"object": {
"uuid": str(uuid.uuid4()),
"type": "Scene",
"children": []
}
}
# 动态生成货架模型
for shelf in store.shelves.all():
shelf_geo = {
"uuid": str(uuid.uuid4()),
"type": "BoxGeometry",
"width": shelf.width,
"height": shelf.height,
"depth": shelf.depth
}
model_data['geometries'].append(shelf_geo)
# 添加商品模型到货架...
return JsonResponse(model_data)
// 基于Spark MLlib的推荐引擎
val als = new ALS()
.setMaxIter(10)
.setRegParam(0.01)
.setUserCol("userId")
.setItemCol("applianceId")
.setRatingCol("rating")
val model = als.fit(ratingsDataset)
val recommendations = model.recommendForAllUsers(5)
.selectExpr("userId",
"explode(recommendations) as rec")
.select("userId", "rec.applianceId", "rec.rating")
// LBS服务发现
navigator.geolocation.getCurrentPosition(position => {
const {latitude, longitude} = position.coords;
axios.get('/api/services/nearby', {
params: {
lat: latitude,
lng: longitude,
radius: 5000, // 5公里范围
categories: ['repair','install','clean']
}
}).then(response => {
this.services = response.data.map(service => ({
...service,
distance: calculateDistance(latitude, longitude,
service.lat, service.lng)
}));
});
});
# Spring Cloud微服务配置示例
spring:
application:
name: order-service
cloud:
nacos:
discovery:
server-addr: 192.168.1.100:8848
sentinel:
transport:
dashboard: 192.168.1.100:8080
gateway:
routes:
- id: product_route
uri: lb://product-service
predicates:
- Path=/api/product/**
Flink实时计算 → 用户行为画像
↓
Hive数仓 → 商品热力分析
↓
Kylin OLAP → 多维报表
# 基于Prometheus的监控配置
- job_name: 'spring_app'
metrics_path: '/actuator/prometheus'
static_configs:
- targets: ['app1:8080', 'app2:8080']
relabel_configs:
- source_labels: [__address__]
regex: '(.*):\d+'
target_label: instance
replacement: '$1'
等级 | 成长值要求 | 权益 |
---|---|---|
普通 | 0 | 基础积分 |
白银 | 1000 | 生日礼包 |
黄金 | 5000 | 专属客服 |
钻石 | 20000 | 线下活动 |
家电品牌 ↔ 凌优购 ↔ 物流公司 ↔ 安装服务商
↓ ↓ ↓
联合营销 订单共享 服务集成
交易安全:
数据安全:
// 敏感数据脱敏处理
public class DataMasker {
public static String maskPhone(String phone) {
return phone.replaceAll("(\\d{3})\\d{4}(\\d{4})", "$1****$2");
}
public static String maskIdCard(String idCard) {
return idCard.replaceAll("(\\d{4})\\d{10}(\\w{4})", "$1**********$2");
}
}
网络安全:
该方案实现了传统电商与O2O新零售的深度融合,通过三级服务化架构支撑百万级日订单量,结合VR/AR技术创新购物体验。建议首期开发聚焦核心交易链路(商品-购物车-订单-支付),后续迭代扩展本地生活服务和社交电商功能。
侵权必究,创作不易。