Vorher habe ich Folgendes getan, um die Anzahl der Tage aus der Berichtstabelle zu ermitteln.

SELECT COUNT(*) AS count_all, tracked_on
 FROM `reports`
 WHERE (domain_id = 939 AND tracked_on >= '2014-01-01' AND tracked_on <= '2014-12-31')
 GROUP BY tracked_on
 ORDER BY tracked_on ASC;

ffensichtlich gibt mir das keine 0 für fehlende Daten.

Dann habe ich endlich ein @ gefundoptimale Lösung, um Datumsreihen zwischen angegebenen Datumsbereichen zu generieren. Die nächste Herausforderung besteht jedoch darin, sie mit meiner Berichtstabelle zu verknüpfen und die Anzahl nach Datum zu gruppieren.

select count(*), all_dates.Date as the_date, domain_id
from (
    select curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY as Date
    from (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as a
    cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as b
    cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as c
) all_dates
inner JOIN reports r
    on all_dates.Date >= '2014-01-01'
  and all_dates.Date <= '2014-12-31'
where all_dates.Date between '2014-01-01' and '2014-12-31' AND domain_id = 939 GROUP BY the_date order by the_date ASC ;

Das Ergebnis bekomme ich ist

count(*)    the_date    domain_id
46  2014-01-01  939
46  2014-01-02  939
46  2014-01-03  939
46  2014-01-04  939
46  2014-01-05  939
46  2014-01-06  939
46  2014-01-07  939
46  2014-01-08  939
46  2014-01-09  939
46  2014-01-10  939
46  2014-01-11  939
46  2014-01-12  939
46  2014-01-13  939
46  2014-01-14  939
...

Warum freue ich mich darauf, die fehlenden Daten mit 0 @ zu fülle

etwas wi

count(*)    the_date    domain_id
12  2014-01-01  939
23  2014-01-02  939
46  2014-01-03  939
0   2014-01-04  939
0   2014-01-05  939
99  2014-01-06  939
1   2014-01-07  939
5   2014-01-08  939
...

Ein weiterer Versuch, den ich gab, war:

select count(*), all_dates.Date as the_date, domain_id
from (
    select curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY as Date
    from (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as a
    cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as b
    cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as c
) all_dates
inner JOIN reports r
    on all_dates.Date = r.tracked_on
where all_dates.Date between '2014-01-01' and '2014-12-31' AND domain_id = 939 GROUP BY the_date order by the_date ASC ;

Ergebnisse

count(*)    the_date    domain_id
38        2014-09-03     939
8         2014-09-04     939

Minimaldaten mit obigen Abfragen:http: //sqlfiddle.com/#! 2 / dee3e / 6