Django DRF+PostgreSQL 电商 API：构建高并发商品与订单核心接口

发布时间：2026/7/23 3:54:44

Django DRF+PostgreSQL 电商 API：构建高并发商品与订单核心接口

做Python后端开发，电商类项目绝对是最经典、最能锻炼架构能力的实战场景。不同于普通的管理系统，电商项目对并发能力、数据一致性、查询效率、事务安全性要求极高。很多新手习惯用 Django 默认的 SQLite 做开发，虽然搭建快，但一旦涉及商品秒杀、订单创建、并发查询，就会出现锁表、查询卡顿、事务失效等一系列问题。

而在企业生产环境中，电商后端基本都是Django DRF + PostgreSQL的技术栈组合。PostgreSQL 相比 MySQL 在复杂查询、事务隔离、大数据量分页、JSON字段存储方面优势明显，非常适合电商商品、订单、sku复杂业务场景。今天我就带大家从零搭建一套企业级高并发电商核心API，包含商品模型设计、订单事务处理、DRF序列化与接口开发，代码可直接用于二次开发。

一、为什么电商项目优选 DRF+PostgreSQL？

很多初学者疑惑，电商项目为什么不选MySQL？并不是MySQL不行，而是中小型电商、复杂订单业务场景下，PostgreSQL适配性更强。首先它完整支持事务、行级锁、高并发读写，能有效避免订单超卖、重复下单问题；其次原生支持JSON字段，无需额外建表就能存储商品参数、规格属性，极大简化数据表结构。

搭配 Django REST Framework 开发接口，自带序列化校验、权限控制、分页、限流功能，不用重复造轮子。相比于原生Django，DRF开发的接口更规范、兼容性更强，完全适配前后端分离架构，是目前企业电商后端主流技术选型。

二、项目环境依赖安装

本次实战基于Python3.9+，适配主流服务器环境，核心依赖Django、DRF、PostgreSQL驱动，大家直接复制安装即可：

pip install django==4.2 pip install djangorestframework pip install psycopg2-binary # PostgreSQL数据库驱动

安装完成后，创建Django项目与app，提前在本地或服务器搭建好PostgreSQL数据库，创建对应的库名，用于后续项目连接配置。

三、数据库配置（settings.py 核心配置）

首先修改项目数据库配置，替换默认SQLite为PostgreSQL，同时注册DRF应用和电商业务app，这是保证项目正常运行的基础：

INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'rest_framework', # 注册DRF框架 'goods', # 商品模块 'order' # 订单模块 ] # PostgreSQL数据库配置 DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql', 'NAME': 'ecommerce_db', 'USER': 'postgres', 'PASSWORD': '123456', 'HOST': '127.0.0.1', 'PORT': '5432' } } # 开启DRF分页、默认渲染器 REST_FRAMEWORK = { 'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination', 'PAGE_SIZE': 10 }

四、核心模型设计（商品+订单）

电商系统的核心就是商品和订单模型，我结合企业规范设计模型，利用PostgreSQL优势，使用JSONField存储商品规格，同时订单加入事务保护字段，避免并发异常：

# goods/models.py from django.db import models class Goods(models.Model): """商品模型""" name = models.CharField(max_length=200, verbose_name="商品名称") price = models.DecimalField(max_digits=10, decimal_places=2, verbose_name="商品价格") stock = models.IntegerField(default=0, verbose_name="库存数量") # PG特色：JSON字段存储规格、参数，无需分表 specs = models.JSONField(default=dict, verbose_name="商品规格") create_time = models.DateTimeField(auto_now_add=True) class Meta: verbose_name = "商品表" db_table = "tb_goods"

# order/models.py from django.db import models from django.db import transaction from goods.models import Goods class Order(models.Model): """订单模型""" ORDER_STATUS = ( (1, "待支付"), (2, "已支付"), (3, "已取消"), ) goods = models.ForeignKey(Goods, on_delete=models.CASCADE, verbose_name="关联商品") order_sn = models.CharField(max_length=50, unique=True, verbose_name="订单编号") status = models.IntegerField(choices=ORDER_STATUS, default=1, verbose_name="订单状态") create_time = models.DateTimeField(auto_now_add=True) class Meta: verbose_name = "订单表" db_table = "tb_order"

五、DRF序列化 + 高并发订单接口（核心）

这里是整篇文章的重点！电商订单最大的问题就是并发下单超卖、数据不一致。我在接口中加入数据库事务原子性操作，结合行级锁，彻底解决高并发场景下的库存错乱问题，生产可直接复用：

# order/views.py from rest_framework.views import APIView from rest_framework.response import Response from django.db import transaction from .models import Order from goods.models import Goods import uuid class CreateOrderView(APIView): @transaction.atomic() # 开启事务，要么全部成功，要么全部回滚 def post(self, request): goods_id = request.data.get("goods_id") buy_num = int(request.data.get("buy_num", 1)) # 行级锁：select_for_update 防止并发超卖 goods = Goods.objects.select_for_update().filter(id=goods_id).first() if not goods: return Response({"code":400, "msg":"商品不存在"}) if goods.stock < buy_num: return Response({"code":400, "msg":"库存不足，下单失败"}) # 扣减库存 goods.stock -= buy_num goods.save() # 生成唯一订单号 order_sn = str(uuid.uuid4()).replace("-","") Order.objects.create( goods=goods, order_sn=order_sn, status=1 ) return Response({"code":200, "msg":"下单成功", "order_sn":order_sn})

六、路由配置与项目启动

配置完接口后，注册路由，执行数据库迁移命令，即可正常调试所有电商接口：

# urls.py from django.contrib import admin from django.urls import path from order.views import CreateOrderView urlpatterns = [ path('admin/', admin.site.urls), path('api/order/create/', CreateOrderView.as_view()), ]

执行迁移命令：

python manage.py makemigrations python manage.py migrate python manage.py runserver

七、高并发优化实战心得

在实际电商项目开发中，很多新手只写业务逻辑，忽略并发防护，线上极易出现超卖、重复订单问题。我总结两个核心优化点：第一，一定要用select_for_update()行锁锁住查询语句，防止多请求同时读取库存导致超卖；第二，所有下单、退款、库存变动逻辑，必须包裹在事务中，保证数据一致性。

另外PostgreSQL相比MySQL，在高并发读写场景下锁冲突更少，JSON字段存储商品规格无需频繁分表，维护成本更低，非常适合中小型电商项目快速迭代。后续还可以搭配Redis缓存热点商品、接口限流，进一步提升服务并发能力。

八、实战总结

Django DRF + PostgreSQL 是中小型电商后端性价比极高的技术方案。DRF规范了前后端交互接口，简化了重复开发工作；PostgreSQL凭借优秀的事务机制和灵活的数据类型，完美适配电商商品、订单核心复杂业务。

本文搭建的这套核心接口，解决了电商最关键的并发下单、库存超卖、数据不一致问题，代码规范、贴近企业生产标准，大家可以在此基础上拓展支付、购物车、分页查询、权限校验等功能，快速搭建完整电商后端项目。ShAre.rEaD.MnSte.CoM/Article/details/477719.sHtML
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