9.6 KiB
9.6 KiB
数据库表结构说明
连接信息验证
数据库连接信息已验证有效:
- 主机: 129.211.213.226
- 端口: 9527
- 用户名: root 密码:aiotAiot123!
- 数据库: niumall
表结构详情
1. users 表(用户表)
CREATE TABLE `users` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`openid` varchar(64) NOT NULL UNIQUE,
`nickname` varchar(50) NOT NULL,
`avatar` varchar(255),
`gender` enum('male','female','other'),
`birthday` datetime,
`phone` varchar(20) UNIQUE,
`email` varchar(100) UNIQUE,
`uuid` varchar(36) UNIQUE,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
2. orders 表(订单表)
CREATE TABLE `orders` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`order_no` varchar(32) NOT NULL UNIQUE,
`user_id` bigint(20) NOT NULL,
`supplier_id` bigint(20) NOT NULL,
`cattle_type` varchar(50) NOT NULL,
`cattle_breed` varchar(50) NOT NULL,
`cattle_count` int(11) NOT NULL,
`expected_weight` decimal(10,2) NOT NULL,
`actual_weight` decimal(10,2),
`unit_price` decimal(10,2) NOT NULL,
`total_amount` decimal(15,2) NOT NULL,
`paid_amount` decimal(15,2) NOT NULL DEFAULT '0.00',
`remaining_amount` decimal(15,2) NOT NULL,
`status` enum('pending','confirmed','preparing','shipping','delivered','accepted','completed','cancelled','refunded') NOT NULL DEFAULT 'pending',
`delivery_address` varchar(200) NOT NULL,
`expected_delivery_date` datetime NOT NULL,
`actual_delivery_date` datetime,
`notes` text,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
3. payments 表(支付表)
CREATE TABLE `payments` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`order_id` bigint(20) NOT NULL,
`user_id` bigint(20) NOT NULL,
`amount` decimal(15,2) NOT NULL,
`paid_amount` decimal(15,2),
`payment_type` enum('wechat','alipay','bank') NOT NULL,
`payment_method` enum('mini_program','app','web') NOT NULL,
`payment_no` varchar(50) NOT NULL UNIQUE,
`third_party_id` varchar(100),
`status` enum('pending','paid','failed','refunded') DEFAULT 'pending',
`paid_time` datetime,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
4. transports 表(运输表)
CREATE TABLE `transports` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`order_id` bigint(20) NOT NULL,
`driver_id` bigint(20) NOT NULL,
`vehicle_id` bigint(20) NOT NULL,
`start_location` varchar(255) NOT NULL,
`end_location` varchar(255) NOT NULL,
`scheduled_start_time` datetime NOT NULL,
`actual_start_time` datetime,
`scheduled_end_time` datetime NOT NULL,
`actual_end_time` datetime,
`status` enum('scheduled','in_transit','completed','cancelled') DEFAULT 'scheduled',
`estimated_arrival_time` datetime,
`cattle_count` int(11) NOT NULL,
`special_requirements` text,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_order_id` (`order_id`),
KEY `idx_driver_id` (`driver_id`),
KEY `idx_vehicle_id` (`vehicle_id`)
);
5. suppliers 表(供应商表)
CREATE TABLE `suppliers` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`code` varchar(20) NOT NULL UNIQUE,
`contact` varchar(50) NOT NULL,
`phone` varchar(20) NOT NULL UNIQUE,
`address` varchar(200) NOT NULL,
`business_license` varchar(255),
`qualification_level` varchar(10) NOT NULL,
`certifications` json,
`cattle_types` json,
`capacity` int(11),
`rating` decimal(3,2),
`cooperation_start_date` datetime,
`status` enum('active','inactive','suspended') DEFAULT 'active',
`region` varchar(20) NOT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
6. vehicles 表(车辆表)
CREATE TABLE `vehicles` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`license_plate` varchar(20) NOT NULL UNIQUE,
`vehicle_type` varchar(50) NOT NULL,
`capacity` int(11) NOT NULL,
`driver_id` bigint(20) NOT NULL,
`status` enum('available','in_use','maintenance','retired') DEFAULT 'available',
`last_maintenance_date` datetime,
`next_maintenance_date` datetime,
`insurance_expiry_date` datetime,
`registration_expiry_date` datetime,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
7. admins 表(管理员用户表)
CREATE TABLE `admins` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(50) NOT NULL UNIQUE,
`password_hash` varchar(255) NOT NULL,
`phone` varchar(20) NOT NULL UNIQUE,
`email` varchar(100),
`user_type` enum('client','supplier','driver','staff','admin') NOT NULL,
`status` enum('active','inactive','locked') DEFAULT 'active',
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`deleted_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
表索引信息
users 表索引
- PRIMARY: 主键索引 (id)
- openid: 唯一索引
- phone: 唯一索引
- email: 唯一索引
- uuid: 唯一索引
orders 表索引
- PRIMARY: 主键索引 (id)
- order_no: 唯一索引
- orders_order_no: 唯一索引
- orders_user_id: 普通索引
- orders_supplier_id: 普通索引
- orders_status: 普通索引
- orders_created_at: 普通索引
payments 表索引
- PRIMARY: 主键索引 (id)
- payment_no: 唯一索引
suppliers 表索引
- PRIMARY: 主键索引 (id)
- code: 唯一索引
- phone: 唯一索引
transports 表索引
- PRIMARY: 主键索引 (id)
- idx_order_id: 普通索引
- idx_driver_id: 普通索引
- idx_vehicle_id: 普通索引
vehicles 表索引
- PRIMARY: 主键索引 (id)
- license_plate: 唯一索引
admins 表索引
- PRIMARY: 主键索引 (id)
- username: 唯一索引
- phone: 唯一索引
表关系说明
users表与orders表通过user_id字段关联suppliers表与orders表通过supplier_id字段关联orders表与payments表通过order_id字段关联users表与payments表通过user_id字段关联orders表与transports表通过order_id字段关联users表与transports表通过driver_id字段关联vehicles表与transports表通过vehicle_id字段关联users表与vehicles表通过driver_id字段关联
数据示例
orders 表数据示例
[
{
"id": 1,
"order_no": "ORD20240520001",
"user_id": 2,
"user_name": "采购商",
"supplier_id": 3,
"supplier_name": "供应商",
"trader_id": null,
"trader_name": null,
"cattle_breed": "西门塔尔牛",
"cattle_count": 10,
"expected_weight": "5000.00",
"actual_weight": null,
"unit_price": "35.00",
"total_amount": "175000.00",
"paid_amount": "50000.00",
"remaining_amount": "125000.00",
"status": "pending",
"delivery_address": "北京市朝阳区某某路123号",
"expected_delivery_date": "2024-06-01T00:00:00.000Z",
"actual_delivery_date": null,
"notes": "请按时交货,质量要保证",
"created_at": "2025-09-18T15:04:29.000Z",
"updated_at": "2025-09-18T15:04:29.000Z",
"deleted_at": null
}
]
suppliers 表数据示例
{
"id": 3,
"name": "内蒙古草原牧业有限公司",
"code": "NM001",
"contact": "张牧",
"phone": "13800000001",
"address": "内蒙古自治区呼和浩特市草原牧场1号",
"business_license": "",
"qualification_level": "A",
"certifications": "[]",
"cattle_types": "[\"西门塔尔牛\",\"夏洛莱牛\"]",
"capacity": 1000,
"rating": "0.00",
"cooperation_start_date": "2025-09-18T15:25:05.000Z",
"status": "active",
"region": "north",
"created_at": "2025-09-18T15:25:05.000Z",
"updated_at": "2025-09-18T15:25:05.000Z",
"deleted_at": null
}
admins 表数据示例
{
"id": 1,
"username": "admin",
"password_hash": "$2a$10$yQ2odJuDRDjPwiyT6v/NuO/V0wjTaUx9DlDmHqXwa.hMQ9km0cWPe",
"phone": "13800138001",
"email": "admin@niumall.com",
"user_type": "admin",
"status": "active",
"created_at": "2025-09-18T15:04:28.000Z",
"updated_at": "2025-09-18T15:04:28.000Z",
"deleted_at": null
}
使用建议
-
数据初始化:当前数据库中已有一些基础数据,包括5个供应商、3个管理员用户和2个订单。在开发过程中可以直接使用这些数据进行测试。
-
权限管理:admins 表中包含了不同角色的用户(admin、client、supplier),可以通过 user_type 字段进行权限控制。
-
订单状态管理:orders 表中的 status 字段包含了完整的订单状态流程,从 pending(待确认)到 completed(已完成)或 cancelled(已取消)。
-
索引优化:已为
transports表添加了order_id、driver_id、vehicle_id等字段的索引以提高查询性能。建议继续为经常查询的字段添加索引,如orders.status、orders.created_at等。 -
字段命名统一:已完成统一使用下划线命名法,所有字段均采用下划线命名规范,保持了命名一致性。
-
数据完整性:可以添加外键约束来保证数据完整性,例如在
orders表中添加外键约束关联users表和suppliers表。 -
扩展性考虑:已为所有表添加了软删除字段
deleted_at以支持数据恢复功能。 -
字段类型优化:部分字段可以考虑使用更合适的类型,例如
orders.status可以使用 TINYINT 类型配合枚举值映射来节省存储空间。