上传源代码版本

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# 到货信息统计 MySQL 语句
## 1. 基本统计语句
```sql
SELECT
COALESCE(l.BillOfLadingNumber, l.MasterPackageNumber, 'Unknown') AS `Key`,
c.CustomerCode AS CustomerCode,
COUNT(*) AS ArrivalOrderCount,
SUM(CASE WHEN l.Label IS NULL OR l.Label = '' THEN 1 ELSE 0 END) AS NoLabelDataCount,
SUM(CASE WHEN l.Label IS NOT NULL AND l.Label != '' THEN 1 ELSE 0 END) AS LabeledOrderCount,
CONCAT(ROUND((SUM(CASE WHEN l.Label IS NOT NULL AND l.Label != '' THEN 1 ELSE 0 END) / COUNT(*)) * 100, 2), '%') AS LabelRate,
(SELECT COUNT(*)
FROM label_scan_history s
WHERE s.NeutralWaybillNumber = l.NeutralWaybillNumber
AND s.Result = 0) AS ReplaceCompletedCount,
COUNT(*) - (SELECT COUNT(*)
FROM label_scan_history s
WHERE s.NeutralWaybillNumber = l.NeutralWaybillNumber
AND s.Result = 0) AS ReplacePendingCount,
(SELECT MIN(h.ReceiptTime)
FROM arrival_handover_forms h
WHERE h.HandoverNumber = COALESCE(l.BillOfLadingNumber, l.MasterPackageNumber)) AS ArrivalTime,
MAX(l.BillOfLadingNumber) AS BillOfLadingNumber,
MAX(l.MasterPackageNumber) AS MasterPackageNumber
FROM
label_replace_requests l
LEFT JOIN
customers c ON l.CustomerId = c.Id
WHERE
1=1
-- 客户ID过滤
AND (l.CustomerId = 1 OR 1 IS NULL)
-- 日期范围过滤
AND (l.CreatedAt >= '2026-01-01' OR '2026-01-01' IS NULL)
AND (l.CreatedAt <= '2026-12-31' OR '2026-12-31' IS NULL)
GROUP BY
COALESCE(l.BillOfLadingNumber, l.MasterPackageNumber, 'Unknown')
ORDER BY
l.CreatedAt DESC;
```
## 2. 优化版本(使用子查询优化扫描记录统计)
```sql
WITH scan_summary AS (
SELECT
NeutralWaybillNumber,
COUNT(*) AS ReturnedLabelCount
FROM
label_scan_history
WHERE
Result = 0
GROUP BY
NeutralWaybillNumber
),
arrival_summary AS (
SELECT
HandoverNumber,
MIN(ReceiptTime) AS MinReceiptTime
FROM
arrival_handover_forms
GROUP BY
HandoverNumber
)
SELECT
COALESCE(l.BillOfLadingNumber, l.MasterPackageNumber, 'Unknown') AS `Key`,
c.CustomerCode AS CustomerCode,
COUNT(*) AS ArrivalOrderCount,
SUM(CASE WHEN l.Label IS NULL OR l.Label = '' THEN 1 ELSE 0 END) AS NoLabelDataCount,
SUM(CASE WHEN l.Label IS NOT NULL AND l.Label != '' THEN 1 ELSE 0 END) AS LabeledOrderCount,
CONCAT(ROUND((SUM(CASE WHEN l.Label IS NOT NULL AND l.Label != '' THEN 1 ELSE 0 END) / COUNT(*)) * 100, 2), '%') AS LabelRate,
COALESCE(SUM(s.ReturnedLabelCount), 0) AS ReplaceCompletedCount,
COUNT(*) - COALESCE(SUM(s.ReturnedLabelCount), 0) AS ReplacePendingCount,
COALESCE(a.MinReceiptTime, b.MinReceiptTime) AS ArrivalTime,
MAX(l.BillOfLadingNumber) AS BillOfLadingNumber,
MAX(l.MasterPackageNumber) AS MasterPackageNumber
FROM
label_replace_requests l
LEFT JOIN
customers c ON l.CustomerId = c.Id
LEFT JOIN
scan_summary s ON l.NeutralWaybillNumber = s.NeutralWaybillNumber
LEFT JOIN
arrival_summary a ON l.BillOfLadingNumber = a.HandoverNumber
LEFT JOIN
arrival_summary b ON l.MasterPackageNumber = b.HandoverNumber
WHERE
1=1
-- 客户ID过滤
AND (l.CustomerId = 1 OR 1 IS NULL)
-- 日期范围过滤
AND (l.CreatedAt >= '2026-01-01' OR '2026-01-01' IS NULL)
AND (l.CreatedAt <= '2026-12-31' OR '2026-12-31' IS NULL)
GROUP BY
COALESCE(l.BillOfLadingNumber, l.MasterPackageNumber, 'Unknown')
ORDER BY
l.CreatedAt DESC;
```
## 3. 实现说明
### 3.1 分组逻辑
使用 `COALESCE` 函数实现提单号优先的分组逻辑:
-`BillOfLadingNumber` 不为 NULL 时,使用 `BillOfLadingNumber` 作为分组依据
-`BillOfLadingNumber` 为 NULL 时,使用 `MasterPackageNumber` 作为分组依据
- 当两者都为 NULL 时,使用 'Unknown' 作为分组依据
### 3.2 统计计算
- **到货订单数量**:使用 `COUNT(*)` 统计每个分组的记录数
- **无标签数据数量**:使用 `SUM(CASE WHEN l.Label IS NULL OR l.Label = '' THEN 1 ELSE 0 END)` 统计
- **已有标签订单数**:使用 `SUM(CASE WHEN l.Label IS NOT NULL AND l.Label != '' THEN 1 ELSE 0 END)` 统计
- **已有标签率**:计算已有标签订单数占总订单数的百分比
- **换单完成数量**:统计有扫描记录且结果为 0 的记录数
- **未换单完成数量**:总订单数减去换单完成数量
- **到货时间**:从到货交接单表中获取最早的收货时间
### 3.3 过滤条件
- **客户ID过滤**可根据需要修改客户ID值
- **日期范围过滤**:可根据需要修改日期范围
## 4. 性能优化建议
1. **索引优化**
-`label_replace_requests` 表上添加以下索引:
- `(CustomerId, CreatedAt)`
- `(BillOfLadingNumber)`
- `(MasterPackageNumber)`
-`label_scan_history` 表上添加索引:
- `(NeutralWaybillNumber, Result)`
-`arrival_handover_forms` 表上添加索引:
- `(HandoverNumber, ReceiptTime)`
2. **查询优化**
- 使用 CTE (Common Table Expressions) 减少重复子查询
- 避免在 GROUP BY 子句中使用复杂表达式
- 合理使用 JOIN 替代子查询
3. **数据量控制**
- 考虑添加分页功能,避免一次性返回大量数据
- 对于历史数据,可以考虑归档策略
## 5. 使用说明
1. **参数调整**
- 客户ID修改 `l.CustomerId = 1` 中的 1 为实际客户ID
- 日期范围:修改 `'2026-01-01'``'2026-12-31'` 为实际日期范围
2. **结果解释**
- `Key` 列:表示分组依据,可能是提单号、主包号或 'Unknown'
- 其他列:表示各统计指标
3. **注意事项**
- `Key` 是 MySQL 关键字,使用反引号包围
- 所有字符串参数都使用单引号包围
- 日期参数使用 'YYYY-MM-DD' 格式
- 可以根据实际需要修改示例值