Hi.
I'm trying to prevent duplicate values from being part of SUM().
(complete schema with INSERTs below)
I have this query to count all log-entries per activity per month in a sub-query, then adding a value from another table in the outer query, which I'd then like to sum but only count values from the same month once:
SELECT info.*, stuff.value + info.total_for_month AS new_value , SUM(stuff.value + info.total_for_month) OVER () AS total_new_value_sum
FROM ( SELECT DISTINCT
date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) AS month
, log.activity_id , count(log.entity_id) OVER(partition by date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE), log.activity_id) AS num_logs_per_activity , count(log.entity_id) OVER (partition by date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE)) AS total_for_month FROM
log_entry log
ORDER BY date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) ASC, log.activity_id ASC
) AS info
LEFT OUTER JOIN stuff ON info.month = stuff.month
;
What I want is this result:
month | activity_id | num_logs_per_activity | total_for_month | new_value | total_new_value_sum |
---|
2017-01-01 00:00:00.000000 | 1 | 4 | 8 | 30 | 141 |
2017-01-01 00:00:00.000000 | 2 | 4 | 8 | 30 | 141 |
2017-02-01 00:00:00.000000 | 1 | 10 | 12 | 111 | 141 |
2017-02-01 00:00:00.000000 | 2 | 2 | 12 | 111 | 141 |
2017-03-01 00:00:00.000000 | 1 | 1 | 1 | NULL | 141 |
But what I get is:
month | activity_id | num_logs_per_activity | total_for_month | new_value | total_new_value_sum |
---|
2017-01-01 00:00:00.000000 | 1 | 4 | 8 | 30 | 282 |
2017-01-01 00:00:00.000000 | 2 | 4 | 8 | 30 | 282 |
2017-02-01 00:00:00.000000 | 1 | 10 | 12 | 111 | 282 |
2017-02-01 00:00:00.000000 | 2 | 2 | 12 | 111 | 282 |
2017-03-01 00:00:00.000000 | 1 | 1 | 1 | NULL | 282 |
The problem is I don't know how to prevent every values in "new_value"-column from being included in the SUM().
I'd like something like this:
, SUM(stuff.value + info.total_for_month) <distinct by month> AS total_new_value_sum
Any hints on how to accomplish this?
Here is the complete schema:
DROP TABLE IF EXISTS stuff;
DROP TABLE IF EXISTS log_entry;
CREATE TABLE log_entry( entity_id SERIAL PRIMARY KEY, start_date DATE NOT NULL, activity_id BIGINT NOT NULL, logged_for BIGINT NOT NULL
);
CREATE TABLE stuff( entity_id SERIAL PRIMARY KEY, month DATE NOT NULL UNIQUE, value INTEGER NOT NULL
);
INSERT INTO log_entry(start_date, activity_id, logged_for)
VALUES ('2017-01-01', 1, 5) , ('2017-01-02', 1, 5) , ('2017-01-03', 2, 5) , ('2017-01-04', 2, 5) , ('2017-02-01', 1, 5) , ('2017-02-01', 2, 5) , ('2017-02-01', 1, 5) , ('2017-02-02', 1, 5) , ('2017-02-02', 1, 5) , ('2017-02-03', 1, 5) , ('2017-01-01', 1, 6) , ('2017-01-02', 1, 6) , ('2017-01-03', 2, 6) , ('2017-01-04', 2, 6) , ('2017-02-01', 1, 6) , ('2017-02-01', 2, 6) , ('2017-02-01', 1, 6) , ('2017-02-02', 1, 6) , ('2017-02-02', 1, 6) , ('2017-02-03', 1, 6) , ('2017-03-01', 1, 6);
INSERT INTO stuff(month, value) VALUES('2017-01-01', 22),('2017-02-01', 99);
Thanks in advance.
--
Andreas Joseph Krogh
CTO / Partner - Visena AS
Mobile: +47 909 56 963