找出两个日期之间的月数

Question

select 
  (age('2012-11-30 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp)),
  (age('2012-12-31 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp)),
  (age('2013-01-31 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp)),
  (age('2013-02-28 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp))

它给出以下内容：

  0 years 0 mons 30 days 0 hours 0 mins 0.00 secs
  0 years 2 mons 0 days 0 hours 0 mins 0.00 secs
  0 years 3 mons 0 days 0 hours 0 mins 0.00 secs
  0 years 3 mons 28 days 0 hours 0 mins 0.00 secs

但是我想获得下个月的定义，该怎么办？

  0 years 1 mons 0 days 0 hours 0 mins 0.00 secs
  0 years 2 mons 0 days 0 hours 0 mins 0.00 secs
  0 years 3 mons 0 days 0 hours 0 mins 0.00 secs
  0 years 4 mons 0 days 0 hours 0 mins 0.00 secs

Answer 1

表达方式

age('2012-11-30 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp)

给30 days。我们期望1 month这两个值都指向每月的最后几天。如果将1天添加到值中，我们将获得下个月的第一天，

age('2012-12-01 00:00:00'::timestamp, '2012-11-01 00:00:00'::timestamp)

会给我们1个月的预期时间。因此，让我们检查是否有一个月的最后两天，在这种情况下，我们要返回第二天的年龄间隔。在其他情况下，我们将返回原始值的年龄间隔：

create or replace function age_m (t1 timestamp, t2 timestamp)
returns interval language plpgsql immutable
as $$
declare
    _t1 timestamp = t1+ interval '1 day';
    _t2 timestamp = t2+ interval '1 day';
begin
    if extract(day from _t1) = 1 and extract(day from _t2) = 1 then
        return age(_t1, _t2);
    else
        return age(t1, t2);
    end if;
end $$;

一些例子：

with my_table(date1, date2) as (
values
    ('2012-11-30 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp),
    ('2012-12-31 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp),
    ('2013-01-31 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp),
    ('2013-02-28 00:00:00'::timestamp, '2012-10-31 00:00:00'::timestamp)
)

select *, age(date1, date2), age_m(date1, date2)
from my_table

        date1        |        date2        |      age       | age_m  
---------------------+---------------------+----------------+--------
 2012-11-30 00:00:00 | 2012-10-31 00:00:00 | 30 days        | 1 mon
 2012-12-31 00:00:00 | 2012-10-31 00:00:00 | 2 mons         | 2 mons
 2013-01-31 00:00:00 | 2012-10-31 00:00:00 | 3 mons         | 3 mons
 2013-02-28 00:00:00 | 2012-10-31 00:00:00 | 3 mons 28 days | 4 mons
(4 rows)