基于累计销量计算每日销量的SQL实现问题求助
计算分组后的日销售差值(Daily_Sale)
原始数据表结构
| ID | Sale_Date(YYYY-MM-DD) | Total_Volume |
|---|---|---|
| 123 | 2022-01-01 | 0 |
| 123 | 2022-01-02 | 2 |
| 123 | 2022-01-03 | 5 |
| 456 | 2022-04-06 | 38 |
| 456 | 2022-04-07 | 40 |
| 456 | 2022-04-08 | 45 |
期望结果表
| ID | Sale_Date(YYYY-MM-DD) | Total_Volume | Daily_Sale |
|---|---|---|---|
| 123 | 2022-01-01 | 0 | 0 |
| 123 | 2022-01-02 | 2 | 2 |
| 123 | 2022-01-03 | 5 | 3 |
| 456 | 2022-04-06 | 38 | 38 |
| 456 | 2022-04-07 | 40 | 2 |
| 456 | 2022-04-08 | 45 | 5 |
错误尝试的SQL语句
with x as ( select distinct t1.ID, t1.Sale_Date, t1.Total_volume, rank() over (partition by ID order by Sale_Date) as ranker from t t1 order by t1.Sale_Date) select t2.ID, t2.ranker, t2.Sale_date, t1.Total_volume, t1.Total_volume - t2.Total_volume as Daily_sale from x t1, x t2 where t1.ID = t2.ID and t2.ranker = t1.ranker-1 order by t1.ID;
正确的SQL实现方案
方法一:使用LAG窗口函数(推荐)
大部分现代数据库(MySQL 8.0+、PostgreSQL、SQL Server等)都支持窗口函数,LAG可以直接获取分组内前一行的Total_Volume值,逻辑简洁高效:
SELECT ID, Sale_Date, Total_Volume, COALESCE(Total_Volume - LAG(Total_Volume) OVER (PARTITION BY ID ORDER BY Sale_Date), Total_Volume) AS Daily_Sale FROM t ORDER BY ID, Sale_Date;
- 说明:
LAG(Total_Volume) OVER (PARTITION BY ID ORDER BY Sale_Date)按ID分组、日期排序,取出当前行的前一行Total_Volume;COALESCE处理分组第一行的空值情况,直接取当前行的Total_Volume作为Daily_Sale。
方法二:自连接(兼容旧版本数据库)
如果数据库不支持窗口函数,可通过自连接实现:
SELECT t1.ID, t1.Sale_Date, t1.Total_Volume, CASE WHEN t2.Total_Volume IS NULL THEN t1.Total_Volume ELSE t1.Total_Volume - t2.Total_Volume END AS Daily_Sale FROM t t1 LEFT JOIN t t2 ON t1.ID = t2.ID AND t2.Sale_Date = DATE_SUB(t1.Sale_Date, INTERVAL 1 DAY) ORDER BY t1.ID, t1.Sale_Date;
- 说明:用
LEFT JOIN关联同表,匹配条件为相同ID且t2日期是t1的前一天;分组第一行无匹配记录时,直接取当前行Total_Volume,其余行用当日值减前一日值。
内容的提问来源于stack exchange,提问作者hjun
相关产品推荐
相关产品推荐

