101 lines
2.6 KiB
Markdown
101 lines
2.6 KiB
Markdown
|
# 发货记录 Redis 存储结构说明
|
|||
|
|
|
|||
|
|
## Redis 数据结构
|
|||
|
|
|
|||
|
|
### Hash 表：shipment_sn_mapping
|
|||
|
|
|
|||
|
|
用于存储 SN/MAC 到出货信息的映射关系。
|
|||
|
|
|
|||
|
|
**数据类型**: Redis Hash
|
|||
|
|
|
|||
|
|
**Key**: `shipment_sn_mapping`
|
|||
|
|
|
|||
|
|
**结构**:
|
|||
|
|
```
|
|||
|
|
Hash Key (Field) -> Hash Value
|
|||
|
|
SN/MAC 号 -> JSON 格式的出货信息
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
### 存储示例
|
|||
|
|
|
|||
|
|
```redis
|
|||
|
|
HSET shipment_sn_mapping "SN0001" '{"date":"2025-11-20","box":"BOX001","ts":"2025-11-20T10:30:00"}'
|
|||
|
|
HSET shipment_sn_mapping "SN0002" '{"date":"2025-11-20","box":"BOX001","ts":"2025-11-20T10:30:00"}'
|
|||
|
|
HSET shipment_sn_mapping "SN0021" '{"date":"2025-11-20","box":"BOX002","ts":"2025-11-20T10:30:00"}'
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
### JSON 值格式
|
|||
|
|
|
|||
|
|
```json
|
|||
|
|
{
|
|||
|
|
"date": "2025-11-20", // 出货日期
|
|||
|
|
"box": "BOX001", // 箱号
|
|||
|
|
"ts": "2025-11-20T10:30:00" // 记录时间戳
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
## 查询方式
|
|||
|
|
|
|||
|
|
### 1. 通过 API 查询
|
|||
|
|
|
|||
|
|
**接口**: `GET /api/shipments/query-by-sn?sn=SN0001`
|
|||
|
|
|
|||
|
|
**响应示例**:
|
|||
|
|
```json
|
|||
|
|
{
|
|||
|
|
"found": true,
|
|||
|
|
"sn": "SN0001",
|
|||
|
|
"date": "2025-11-20",
|
|||
|
|
"box": "BOX001",
|
|||
|
|
"ts": "2025-11-20T10:30:00"
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
### 2. 直接使用 Redis 命令查询
|
|||
|
|
|
|||
|
|
```bash
|
|||
|
|
# 查询单个 SN
|
|||
|
|
redis-cli HGET shipment_sn_mapping "SN0001"
|
|||
|
|
|
|||
|
|
# 查询多个 SN
|
|||
|
|
redis-cli HMGET shipment_sn_mapping "SN0001" "SN0002" "SN0003"
|
|||
|
|
|
|||
|
|
# 查看所有记录数量
|
|||
|
|
redis-cli HLEN shipment_sn_mapping
|
|||
|
|
|
|||
|
|
# 查看所有 SN（谨慎使用，数据量大时会很慢）
|
|||
|
|
redis-cli HKEYS shipment_sn_mapping
|
|||
|
|
|
|||
|
|
# 扫描部分数据
|
|||
|
|
redis-cli HSCAN shipment_sn_mapping 0 COUNT 100
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
## 数据导入流程
|
|||
|
|
|
|||
|
|
1. 用户上传 Excel 文件（包含：出货日期、箱号、SN1-SN20）
|
|||
|
|
2. 系统解析 Excel 文件
|
|||
|
|
3. 提取每行的出货日期、箱号和所有 SN
|
|||
|
|
4. 将数据保存到 SQLite（用于统计和列表展示）
|
|||
|
|
5. 同时将每个 SN 映射关系写入 Redis Hash（用于快速查询）
|
|||
|
|
|
|||
|
|
## 性能特点
|
|||
|
|
|
|||
|
|
- **查询速度**: O(1) 时间复杂度，毫秒级响应
|
|||
|
|
- **存储效率**: Hash 结构比单独的 Key-Value 更节省内存
|
|||
|
|
- **批量写入**: 使用 Pipeline 批量写入，提高导入速度
|
|||
|
|
- **容错性**: Redis 写入失败不影响 SQLite 数据保存
|
|||
|
|
|
|||
|
|
## 使用场景
|
|||
|
|
|
|||
|
|
1. **快速查询**: 扫描 SN 后立即查询出货信息
|
|||
|
|
2. **追溯管理**: 根据 MAC 地址追溯出货批次
|
|||
|
|
3. **质量追踪**: 结合不良品记录，追溯出货批次
|
|||
|
|
4. **客户服务**: 快速响应客户关于产品出货信息的查询
|
|||
|
|
|
|||
|
|
## 维护建议
|
|||
|
|
|
|||
|
|
1. **定期备份**: 使用 Redis RDB 或 AOF 持久化
|
|||
|
|
2. **监控容量**: 定期检查 Hash 大小 `HLEN shipment_sn_mapping`
|
|||
|
|
3. **数据清理**: 根据业务需求定期清理过期数据
|
|||
|
|
4. **索引优化**: 如需按日期或箱号查询，可建立额外的索引结构
|