Reputation: 136
I am trying to do report for email status and I need to keep records on monthly basis.
Here is my table structure for data:
sent_on date;
sent boolean;
open date;
clicked date;
The final output that I expect would be:
Month | Year | Sent Count | Open Count | Clicked Count
I know that I can do it if I make an individual statement such as
Select MONTH(sent_on), YEAR(sent_on), count(sent_on) FROM my_table
WHERE sent = true;
Select MONTH(open), YEAR(open), count(open) FROM my_table;
Select MONTH(clicked ), YEAR(clicked ), count(clicked ) FROM my_table;
Can you guys help me on this and provide any simple ideas? I'm sure I'm missing something. ps USING sql HERE
Upvotes: 0
Views: 2954
Reputation: 77657
Unpivot the dates, then group the results conditionally:
SELECT
MONTH(eventdate) AS Month,
YEAR (eventdate) AS Year,
COUNT(CASE eventkind WHEN 'sent_on' THEN 1 END) AS SentCount,
COUNT(CASE eventkind WHEN 'open' THEN 1 END) AS OpenCount,
COUNT(CASE eventkind WHEN 'clicked' THEN 1 END) AS ClickedCount
FROM (
SELECT
x.eventkind,
CASE x.eventkind
WHEN 'sent_on' THEN sent_on
WHEN 'open' THEN open
WHEN 'clicked' THEN clicked
END AS eventdate
FROM my_table AS t
CROSS JOIN (VALUES ('sent_on', 'open', 'clicked')) AS x (eventkind)
WHERE t.sent = true
) AS s
GROUP BY
MONTH(eventdate),
YEAR (eventdate)
;
Upvotes: 0
Reputation: 125214
select
date_trunc('month', d) "month",
count(sent and sent_on = d or null) sent_on,
count(open = d or null) open,
count(clicked = d or null) clicked
from
t
inner join
generate_series(
(select least(min(sent_on), min(open), min(clicked)) from t),
(select greatest(max(sent_on), max(open), max(clicked))from t)
, '1 day'
) s(d) on s.d in (t.sent_on, t.open, t.clicked)
group by 1
order by 1
Upvotes: 1
Reputation: 17643
Not necessarly performant code:
SELECT m, y, sent_count, open_count, clicked_count
FROM
(SELECT MONTH(sent_on) as m, YEAR(sent_on) as y
FROM my_table
WHERE sent = true
GROUP BY MONTH(sent_on), YEAR(sent_on)
UNION ALL
SELECT MONTH(open), YEAR(open)
FROM my_table
WHERE sent = true
GROUP BY MONTH(open), YEAR(open)
UNION ALL
SELECT MONTH(open), YEAR(open)
FROM my_table
WHERE sent = true
GROUP BY MONTH(open), YEAR(open)) d
LEFT JOIN
(Select MONTH(sent_on) as m , YEAR(sent_on) as y, count(sent_on) sent_count
FROM my_table
WHERE sent = true
GROUP BY MONTH(sent_on), YEAR(sent_on)) s on (s.y=d.y and s.m=d.m)
LEFT JOIN
(Select MONTH(open) as m , YEAR(open) as y, count(open) open_count
FROM my_table
WHERE sent = true
GROUP BY MONTH(open), YEAR(open)) o on (o.y=d.y and o.m=d.m)
LEFT JOIN
(Select MONTH(clicked) as m , YEAR(clicked) as y, count(clicked) clicked_count
FROM my_table
WHERE sent = true
GROUP BY MONTH(clicked), YEAR(clicked)) c on (c.y=d.y and c.m=d.m);
Supposed open and clicked are sent.
UPDATE: For performance we can start form folowing query:
Select MONTH(sent_on) sm, YEAR(sent_on) sy,
MONTH(OPEN) om, YEAR(OPEN) oy,
MONTH(clicked) cm, YEAR(clicked) cy,
count(sent_on) sent_cnt, count(clicked) clicked_cnt, count(open) open_cnt
FROM my_table
WHERE sent = true
GROUP BY MONTH(sent_on), YEAR(sent_on),
MONTH(OPEN), YEAR(OPEN),
MONTH(clicked), YEAR(clicked);
Upvotes: 0