I have a table like the following
ID created sent type
-----------------------------------------------------
0001463583000051783 31-JUL-12 1 270
0081289563000051788 01-AUG-12 1 270
0081289563000051792 01-AUG-12 1 270
0081289563000051791 01-AUG-12 1 270
0081289563000051806 01-AUG-12 1 270
0001421999000051824 06-AUG-12 1 270
0001421999000051826 06-AUG-12 1 270
0001464485000051828 06-AUG-12 1 270
0082162128000051862 09-AUG-12 2 278
0082162128000051861 09-AUG-12 2 278
0022409222082910259 09-AUG-12 3 278
I would like to have the following for output
created Count
---------------------
31-JUL-12 1
01-AUG-12 4
06-AUG-12 3
09-AUG-12 3
How hard would it be to accomplish this using SQL Developer on Oracle 10g?
I have tried several queries to generate such a table and in the end it does not group the count by date, just gives me a '1' for the count when we average 5000-10000 transactions daily. I'm probably overcomplicating it. But I would like something simple where I can pull the amount of transactions on a daily basis within a date range.
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How about you post the queries you've tried that didn't work? I wouldn't want to suggest a query only for you to reply that you've already tried it.FrustratedWithFormsDesigner– FrustratedWithFormsDesigner2012年10月30日 20:52:58 +00:00Commented Oct 30, 2012 at 20:52
1 Answer 1
Unless I am missing something, your query would be something like this:
select created, count(*) CreatedCount
from yourtable
group by created
order by created;
Or if you have a time associated with the date, you can use TRUNC
:
select trunc(created), count(*) CreatedCount
from yourtable
group by trunc(created)
order by trunc(created);
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2I'm guessing the "created" dates also have a time part, and some form of
trunc
ing would help the OP.Mat– Mat2012年10月31日 06:52:27 +00:00Commented Oct 31, 2012 at 6:52 -
@Mat good point, updated with query that includes
trunc
Taryn– Taryn2012年10月31日 10:00:00 +00:00Commented Oct 31, 2012 at 10:00 -
Nice solution! Didnt realize there is a trunc function for Oracle.Thyag– Thyag2019年08月29日 21:32:08 +00:00Commented Aug 29, 2019 at 21:32
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