I have written a query that's doing an aggregation of X.
It starts from this week's Monday up to current day.
select
extract(dow from time_sent) days
, count(id)
from messages
where time_sent between date_trunc('week', now()) and now()
group by days
order by days;
I would like a hint on how to set a default value for Monday when no row was added on Monday.
ie, Monday was empty, so I'm getting this:
[ anonymous { day: 2, count: '1' },
anonymous { day: 3, count: '1' },
anonymous { day: 4, count: '1' },
anonymous { day: 5, count: '1' },
anonymous { day: 6, count: '1' } ]
Expected result:
[ anonymous { day: 1, count: '0' },
anonymous { day: 2, count: '1' },
anonymous { day: 3, count: '1' },
anonymous { day: 4, count: '1' },
anonymous { day: 5, count: '1' },
anonymous { day: 6, count: '1' } ]
Edit: Add table structure and sample output.
id | time_sent
1 | 2018-01-13 15:26:21.443828+08
2 | 2018-01-12 15:26:21.44755+08
3 | 2018-01-11 15:26:21.459208+08
4 | 2018-01-10 15:26:21.440648+08
5 | 2018-01-09 15:26:21.457262+08
Query #1:
select
coalesce(extract(dow from time_sent), d) days
, count(message_batch_id)
from generate_series(0,6) d
left join messages
on d = extract(dow from time_sent)
where time_sent between date_trunc('week', now()) and now()
group by days
order by days;
Query #1 output:
days | count
2 | 1
3 | 1
4 | 1
5 | 1
6 | 1
Edit: I need to clarify that the messages
table didn't have any row entry on Monday.
Edit:
For some reason, this query returns the row structure that I wanted:
select
extract(dow from d.*) days,
count(id)
from GENERATE_SERIES(DATE_TRUNC('WEEK', NOW()), NOW(), '1
DAY'::INTERVAL) d
left outer join messages m
on m.time_sent::DATE = d
group by days
order by days;