I am using a Select query to select Members, a variable that serves as a unique identifier, and transaction date, a Date format (MM/DD/YYYY).
Select Members , transaction_date,
FROM table WHERE Criteria = 'xxx'
Group by Members, transaction_date;
My ultimate aim is to count the # of unique members by month (ie, a unique member in day 3, 6, 12 of a month is only counted once). I don't want to select any data, but rather run this calculation (count distinct by month) and output the calculation.
This will give distinct count per month.
select month,count(*) as distinct_Count_month
from
(
select members,to_char(transaction_date, 'YYYY-MM') as month
from table1
/* add your where condition */
group by members,to_char(transaction_date, 'YYYY-MM')
) a
group by month
So for this input
+---------+------------------+
| members | transaction_date |
+---------+------------------+
| 1 | 12/23/2015 |
| 1 | 11/23/2015 |
| 1 | 11/24/2015 |
| 2 | 11/24/2015 |
| 2 | 10/24/2015 |
+---------+------------------+
You will get this output
+----------+----------------------+
| month | distinct_count_month |
+----------+----------------------+
| 2015-10 | 1 |
| 2015-11 | 2 |
| 2015-12 | 1 |
+----------+----------------------+
You might want to try this. This might work.
SELECT REPLACE(CONVERT(DATE,transaction_date,101),'-','/') AS [DATE],
COUNT(MEMBERS) AS [NO OF MEMBERS]
FROM BAR
WHERE REPLACE(CONVERT(DATE,transaction_date,101),'-','/') IN
(
SELECT REPLACE(CONVERT(DATE,transaction_date,101),'-','/')
FROM BAR
)
GROUP BY REPLACE(CONVERT(DATE,transaction_date,101),'-','/')
ORDER BY REPLACE(CONVERT(DATE,transaction_date,101),'-','/')
Use COUNT(DISTINCT members) and date_trunc('month', transaction_date) to retain timestamps for most calculations (and this can also help with ordering the result). to_char() can then be used to control the display format but it isn't required elsewhere.
SELECT
to_char(date_trunc('month', transaction_date), 'YYYY-MM')
, COUNT(DISTINCT members) AS distinct_Count_month
FROM table1
GROUP BY
date_trunc('month', transaction_date)
;
result sample:
| to_char | distinct_count_month |
|---------|----------------------|
| 2015-10 | 1 |
| 2015-11 | 2 |
| 2015-12 | 1 |
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