获取两个日期之间的日期列表

我将使用这个存储过程，将您需要的间隔生成到名为 time_intervals ，然后JOIN并使用temp time_intervals 表汇总您的数据表。

I would use this stored procedure to generate the intervals you need into the temp table named time_intervals, then JOIN and aggregate your data table with the temp time_intervals table.

该过程可以生成您看到的所有不同类型的间隔在其中指定：

The procedure can generate intervals of all the different types you see specified in it:

call make_intervals('2009-01-01 00:00:00','2009-01-10 00:00:00',1,'DAY')
.
select * from time_intervals  
.
interval_start      interval_end        
------------------- ------------------- 
2009-01-01 00:00:00 2009-01-01 23:59:59 
2009-01-02 00:00:00 2009-01-02 23:59:59 
2009-01-03 00:00:00 2009-01-03 23:59:59 
2009-01-04 00:00:00 2009-01-04 23:59:59 
2009-01-05 00:00:00 2009-01-05 23:59:59 
2009-01-06 00:00:00 2009-01-06 23:59:59 
2009-01-07 00:00:00 2009-01-07 23:59:59 
2009-01-08 00:00:00 2009-01-08 23:59:59 
2009-01-09 00:00:00 2009-01-09 23:59:59 
.
call make_intervals('2009-01-01 00:00:00','2009-01-01 02:00:00',10,'MINUTE')
. 
select * from time_intervals
.  
interval_start      interval_end        
------------------- ------------------- 
2009-01-01 00:00:00 2009-01-01 00:09:59 
2009-01-01 00:10:00 2009-01-01 00:19:59 
2009-01-01 00:20:00 2009-01-01 00:29:59 
2009-01-01 00:30:00 2009-01-01 00:39:59 
2009-01-01 00:40:00 2009-01-01 00:49:59 
2009-01-01 00:50:00 2009-01-01 00:59:59 
2009-01-01 01:00:00 2009-01-01 01:09:59 
2009-01-01 01:10:00 2009-01-01 01:19:59 
2009-01-01 01:20:00 2009-01-01 01:29:59 
2009-01-01 01:30:00 2009-01-01 01:39:59 
2009-01-01 01:40:00 2009-01-01 01:49:59 
2009-01-01 01:50:00 2009-01-01 01:59:59 
.
I specified an interval_start and interval_end so you can aggregate the 
data timestamps with a "between interval_start and interval_end" type of JOIN.
.
Code for the proc:
.
-- drop procedure make_intervals
.
CREATE PROCEDURE make_intervals(startdate timestamp, enddate timestamp, intval integer, unitval varchar(10))
BEGIN
-- *************************************************************************
-- Procedure: make_intervals()
--    Author: Ron Savage
--      Date: 02/03/2009
--
-- Description:
-- This procedure creates a temporary table named time_intervals with the
-- interval_start and interval_end fields specifed from the startdate and
-- enddate arguments, at intervals of intval (unitval) size.
-- *************************************************************************
   declare thisDate timestamp;
   declare nextDate timestamp;
   set thisDate = startdate;

   -- *************************************************************************
   -- Drop / create the temp table
   -- *************************************************************************
   drop temporary table if exists time_intervals;
   create temporary table if not exists time_intervals
      (
      interval_start timestamp,
      interval_end timestamp
      );

   -- *************************************************************************
   -- Loop through the startdate adding each intval interval until enddate
   -- *************************************************************************
   repeat
      select
         case unitval
            when 'MICROSECOND' then timestampadd(MICROSECOND, intval, thisDate)
            when 'SECOND'      then timestampadd(SECOND, intval, thisDate)
            when 'MINUTE'      then timestampadd(MINUTE, intval, thisDate)
            when 'HOUR'        then timestampadd(HOUR, intval, thisDate)
            when 'DAY'         then timestampadd(DAY, intval, thisDate)
            when 'WEEK'        then timestampadd(WEEK, intval, thisDate)
            when 'MONTH'       then timestampadd(MONTH, intval, thisDate)
            when 'QUARTER'     then timestampadd(QUARTER, intval, thisDate)
            when 'YEAR'        then timestampadd(YEAR, intval, thisDate)
         end into nextDate;

      insert into time_intervals select thisDate, timestampadd(MICROSECOND, -1, nextDate);
      set thisDate = nextDate;
   until thisDate >= enddate
   end repeat;

 END;

在这篇文章，其中我为SQL Server构建了一个类似的功能。

Similar example data scenario at the bottom of this post, where I built a similar function for SQL Server.