SQL实现新增列展示同ClaimID下部门变更日期及历史部门数据
解决方案
你可以用SQL标准窗口函数LAG()实现该需求,该函数兼容绝大多数主流数据库(MySQL 8.0+、PostgreSQL、SQL Server、Oracle等),不需要写复杂的子查询关联逻辑。
实现逻辑
- 按
ClaimID分组,组内按日期升序排列,保证同个索赔ID的记录按时间先后排序 - 用
LAG()函数分别取当前行的上一行部门值、上一行日期值 - 对比当前行部门和上一行部门:若不一致则将上一行日期作为变更日期、上一行部门作为前部门;若一致或没有上一行记录则两列都填N/A
完整SQL代码
SELECT ClaimID, Department, `Date`, CASE WHEN Department <> LAG(Department) OVER (PARTITION BY ClaimID ORDER BY STR_TO_DATE(`Date`, '%b-%d-%Y')) THEN LAG(`Date`) OVER (PARTITION BY ClaimID ORDER BY STR_TO_DATE(`Date`, '%b-%d-%Y')) ELSE 'N/A' END AS `Date Changed`, CASE WHEN Department <> LAG(Department) OVER (PARTITION BY ClaimID ORDER BY STR_TO_DATE(`Date`, '%b-%d-%Y')) THEN LAG(Department) OVER (PARTITION BY ClaimID ORDER BY STR_TO_DATE(`Date`, '%b-%d-%Y')) ELSE 'N/A' END AS `Previous` FROM your_table_name;
注:如果你的数据库不是MySQL,将STR_TO_DATE替换为对应数据库的日期转换函数即可:SQL Server用CONVERT(DATE, [Date], 107)、PostgreSQL用TO_DATE("Date", 'Mon-dd-YYYY'),核心是将字符串格式的日期转为可正确排序的日期类型,避免字符串排序逻辑出错。
示例数据运行结果
| ClaimID | Department | Date | Date Changed | Previous |
|---|---|---|---|---|
| ABC12 | Sales | Jun-12-2020 | N/A | N/A |
| ABC12 | Sales | Jul-13-2020 | N/A | N/A |
| ABC12 | Marketing | Aug-15-2020 | Jul-13-2020 | Sales |
| DEF23 | IT | Jul-13-2020 | N/A | N/A |
| DEF23 | IT | Sept-12-2020 | N/A | N/A |
| DEF23 | IT | Oct-21-2020 | N/A | N/A |
| DEF23 | Sales | Nov-12-2020 | Oct-21-2020 | IT |
内容的提问来源于stack exchange,提问作者Vikram Magal
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