Postgres 13

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CREATE TABLE mytable(id bigint, version smallint, date_from timestamp);

INSERT INTO mytable VALUES
(4084036, 1, '2006-12-22 22:46:35'),
(4084938, 1, '2006-12-23 16:19:13'),
(4084938, 2, '2006-12-23 16:20:23'),
(4084939, 1, '2006-12-23 16:29:14'),
(4084954, 1, '2006-12-23 16:28:28'),
(4250653, 1, '2007-02-12 21:58:53'),
(4250657, 1, '2007-03-12 21:58:53');

CREATE TABLE



INSERT 0 7


-- new, better, faster solution
SELECT to_char(mon, 'yyyy-mm') AS monat
     , COALESCE(t.ct, 0) AS eintraege
FROM  (
   SELECT date_trunc('month', date_from)::date AS mon
        , count(*) AS ct
   FROM   mytable
   WHERE  version = 1     
   GROUP  BY 1
   ) t
RIGHT JOIN (
   SELECT generate_series(date_trunc('month', min(date_from))
                        , max(date_from)
                        , interval '1 mon')::date
   FROM   mytable
   ) m(mon) USING (mon)
ORDER  BY mon;


monat
eintraege


2006-12
4

2007-01
0

2007-02
1

2007-03
1



SELECT 4


-- old solution:
SELECT to_char(s.tag,'yyyy-mm') AS monat
     , count(t.id) AS eintraege
FROM  (
   SELECT generate_series(min(date_from)::date
                        , max(date_from)::date
                        , interval '1 day'
          )::date AS tag
   FROM   mytable t
   ) s
LEFT   JOIN mytable t ON t.date_from::date = s.tag AND t.version = 1   
GROUP  BY 1
ORDER  BY 1;


monat
eintraege


2006-12
4

2007-01
0

2007-02
1

2007-03
1



SELECT 4


-- old solution, improved
SELECT to_char(s.tag,'yyyy-mm') AS monat
     , count(t.id) AS eintraege
FROM  (
   SELECT generate_series(date_trunc('day', min(date_from))
                        , max(date_from)
                        , interval '1 day')::date AS tag
   FROM   mytable
   ) s
LEFT   JOIN mytable t ON t.date_from::date = s.tag AND t.version = 1   
GROUP  BY 1
ORDER  BY 1;


monat
eintraege


2006-12
4

2007-01
0

2007-02
1

2007-03
1



SELECT 4