Question

我有以下给定日期范围的费率表。

我想编写一个sql查询（PostgreSQL）来获取给定期间的价格总和，如果它是一个连续的时期......例如：

如果我在第一组中指定2011-05-02至2011-05-09，则应返回6行的总和，

但是

如果我在第二集上指定2011-05-02到2011-05-011，则不应返回任何内容。

我的问题是我不知道如何确定日期范围是否连续...你能帮忙吗？非常感谢

案例1：预期总和

 price       from_date      to_date
------    ------------  ------------
   1.0      "2011-05-02"  "2011-05-02"
   2.0      "2011-05-03"  "2011-05-03"
   3.0      "2011-05-04"  "2011-05-05"
   4.0      "2011-05-05"  "2011-05-06"
   5.0      "2011-05-06"  "2011-05-07"
   4.0      "2011-05-08"  "2011-05-09"

案例2：没有预期的结果

 price       from_date      to_date
------    ------------  ------------
   1.0      "2011-05-02"  "2011-05-02"
   2.0      "2011-05-03"  "2011-05-03"
   3.0      "2011-05-07"  "2011-05-09"
   4.0      "2011-05-09"  "2011-05-011"

我没有重叠的费率日期范围。

Answer 1

我不确定我完全理解这个问题，但是这个：

select * 
from prices
where not exists (
  select 1 from (
     select from_date - lag(to_date) over (partition by null order by from_date asc) as days_diff
     from prices
     where from_date >= DATE '2011-05-01' 
       and to_date < DATE '2011-07-01'
  ) t 
  where coalesce(days_diff, 0) > 1
) 
order by from_date

Answer 2

这是一种解决问题的方法：

WITH RECURSIVE t AS (
  SELECT * FROM d WHERE '2011-05-02' BETWEEN start_date AND end_date 
  UNION ALL
  SELECT d.* FROM t JOIN d ON (d.key=t.key AND d.start_date=t.end_date+'1 DAY'::INTERVAL)  
     WHERE d.start_date <= '2011-05-09') 
  SELECT sum(price), min(start_date), max(end_date) 
  FROM t 
  HAVING min(start_date) <= '2011-05-02' AND max(end_date)>= '2011-05-09';

Answer 3

我认为你需要结合窗口函数和CTE：

WITH
raw_rows AS (
SELECT your_table.*,
       lag(to_date) OVER w as prev_date,
       lead(from_date) OVER w as next_date
FROM your_table
WHERE ...
WINDOW w as (ORDER by from_date, to_date)
)
SELECT sum(stuff)
FROM raw_rows
HAVING bool_and(prev_date >= from_date - interval '1 day' AND
                next_date <= to_date + interval '1 day');

http://www.postgresql.org/docs/9.0/static/tutorial-window.html

http://www.postgresql.org/docs/9.0/static/queries-with.html

PostgreSQL价格适用于多个日期范围

3 个答案: