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I have a data set of email addresses and dates that those email addresses were added to a table. There can be multiple entries of an email address for various different dates. For example, if I have the data set below. I would be looking to get the date and count of distinct emails that we have between said date and 3 days ago.

Date   | email  
-------+----------------
1/1/12 | test@test.com
1/1/12 | test1@test.com
1/1/12 | test2@test.com
1/2/12 | test1@test.com
1/2/12 | test2@test.com
1/3/12 | test@test.com
1/4/12 | test@test.com
1/5/12 | test@test.com
1/5/12 | test@test.com
1/6/12 | test@test.com
1/6/12 | test@test.com
1/6/12 | test1@test.com

Result set would look something like this if we use a date period of 3

date   | count(distinct email)
-------+------
1/1/12 | 3
1/2/12 | 3
1/3/12 | 3
1/4/12 | 3
1/5/12 | 1
1/6/12 | 2

I can get a distinct count of a date range using the query below, but looking to get a count of a range by day so I do not have to manually update the range for hundreds of dates.

select test.date, count(distinct test.email)  
from test_table as test  
where test.date between '2012-01-01' and '2012-05-08'  
group by test.date;
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1 Answer

Test case:

CREATE TABLE tbl (date date, email text);
INSERT INTO tbl VALUES
  ('2012-01-01', 'test@test.com')
, ('2012-01-01', 'test1@test.com')
, ('2012-01-01', 'test2@test.com')
, ('2012-01-02', 'test1@test.com')
, ('2012-01-02', 'test2@test.com')
, ('2012-01-03', 'test@test.com')
, ('2012-01-04', 'test@test.com')
, ('2012-01-05', 'test@test.com')
, ('2012-01-05', 'test@test.com')
, ('2012-01-06', 'test@test.com')
, ('2012-01-06', 'test@test.com')
, ('2012-01-06', 'test1@test.com`')
;

Query - returns only days where an entry exists in tbl:

SELECT date
     ,(SELECT count(DISTINCT email)
       FROM   tbl
       WHERE  date BETWEEN t.date - 2 AND t.date -- period of 3 days
      ) AS dist_emails
FROM   tbl t
WHERE  date BETWEEN '2012-01-01' AND '2012-01-06'  
GROUP  BY 1
ORDER  BY 1;

Or - return all days in the specified range, even if there are no rows for the day:

SELECT date
     ,(SELECT count(DISTINCT email)
       FROM   tbl
       WHERE  date BETWEEN g.date - 2 AND g.date
      ) AS dist_emails
FROM  (SELECT generate_series(timestamp '2012-01-01'
                            , timestamp '2012-01-06'
                            , interval  '1 day')::date) AS g(date);

db<>fiddle here

Result:

day        | dist_emails
-----------+------------
2012-01-01 | 3
2012-01-02 | 3
2012-01-03 | 3
2012-01-04 | 3
2012-01-05 | 1
2012-01-06 | 2

This sounded like a job for window functions at first, but I did not find a way to define the suitable window frame. Also, per documentation:

Aggregate window functions, unlike normal aggregate functions, do not allow DISTINCT or ORDER BY to be used within the function argument list.

So I solved it with correlated subqueries instead. I guess that's the smartest way.

BTW, "between said date and 3 days ago" would be a period of 4 days. Your definition is contradictory there.

Slightly shorter, but slower for few days:

SELECT g.date, count(DISTINCT email) AS dist_emails
FROM  (SELECT generate_series(timestamp '2012-01-01'
                            , timestamp '2012-01-06'
                            , interval  '1 day')::date) AS g(date)
LEFT   JOIN tbl t ON t.date BETWEEN g.date - 2 AND g.date
GROUP  BY 1
ORDER  BY 1;

Related:


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