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Rufen Sie eine Liste der Daten zwischen zwei Daten ab

Ich würde diese gespeicherte Prozedur verwenden, um die benötigten Intervalle in der temporären Tabelle mit dem Namen time_intervals zu generieren , dann JOIN und aggregieren Sie Ihre Datentabelle mit den temporären time_intervals Tabelle.

Die Prozedur kann Intervalle aller verschiedenen Typen erzeugen, die Sie darin angegeben sehen:

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;

Ein ähnliches Beispieldatenszenario am Ende von diesen Beitrag , wo ich eine ähnliche Funktion für SQL Server erstellt habe.