Re: SQL Count Magic Required.... First Iteration...

From: <operationsengineer1(at)yahoo(dot)com>
To: Sean Davis <sdavis2(at)mail(dot)nih(dot)gov>, "pgsql-novice(at)postgresql(dot)org" <pgsql-novice(at)postgresql(dot)org>
Subject: Re: SQL Count Magic Required.... First Iteration...
Date: 2006-06-01 18:04:12
Message-ID: 20060601180412.49119.qmail@web33306.mail.mud.yahoo.com
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> On 5/31/06 7:32 PM, "operationsengineer1(at)yahoo(dot)com"
> <operationsengineer1(at)yahoo(dot)com> wrote:
>
> > i have the following query that yields a series of
> > true or false results:
> >
> > -- distinct on is pgsql extension --
> > SELECT DISTINCT ON (t_inspect_result.inspect_id)
> > t_inspect_result.inspect_result_id,
> >
> > t_inspect_result.inspect_result_pass,
> > t_inspect_area.inspect_area,
> >
> > t_inspect_result.inspect_result_timestamp
> > --,t_inspect.serial_number_id,
> > t_inspect.inspect_id
> > FROM t_inspect_result, t_inspect, t_inspect_area,
> > t_serial_number,
> > t_link_contract_number_job_number, t_job_number,
> > t_product
> > WHERE t_inspect.inspect_area_id =
> > t_inspect_area.inspect_area_id
> > AND t_inspect.serial_number_id =
> > t_serial_number.serial_number_id
> > AND
> t_serial_number.link_contract_number_job_number_id
> > =
> >
> >
>
t_link_contract_number_job_number.link_contract_number_job_number_id
> > AND
> t_link_contract_number_job_number.job_number_id =
> > t_job_number.job_number_id
> > AND t_product.product_id =
> > t_job_number.product_id
> > AND t_inspect.inspect_id =
> > t_inspect_result.inspect_id
> > AND t_inspect.serial_number_id = '200'
> > ORDER BY t_inspect_result.inspect_id DESC,
> > t_inspect_result.inspect_result_timestamp ASC
> > -- used to get first pass yield pass / fail (true
> /
> > false) data.
> > -- inspect_id desc impacts end result. time desc
> > impacts the groups prior to being distinctly
> listed
> >
> > the simplified output may look like
> >
> > f,t,t,f,f,f,t,f,t,f
> >
> > the COUNT magic comes into play b/c i want to
> count
> > the result set's "t"s and total, but i have no
> clue
> > how to get this done.
> >
> > #ts: 4
> > #total: 10
> >
> > when i have this data, i can apply some math and
> come
> > up with a 40% yield.
>
> You can do a query like (untested, and needs to be
> translated into your
> monster query):
>
> select
> a.id,a.total,b.failed,(a.total::numeric)/b.total as
> yield
> from (select count(test_result) as total from
> table) as a,
> (select count(test_result) as failed from
> table where
> test_result='f') as b where a.id = b.id;
>
> The point is to do the queries separately as
> subqueries and join them on
> some primary key so that you get the count "total"
> and the count "failed".
> Then you can do the math as above. Note that you
> have to cast at least one
> of the integers to numeric if you want a numeric
> result.

for those following on (probably just yours truly ;-),
the first iteration (tested and works):

SELECT a.total, b.passed, b.passed/(a.total::numeric)
as yield
FROM (SELECT count(inspect_result_pass) as total
FROM t_inspect_result)
AS a,
(SELECT count(inspect_result_pass) as passed
FROM t_inspect_result
WHERE inspect_result_pass = 't')
AS b

this generates results based on the whole table (not
limited to first entry and not limited by unique
product/serial combo.

in my test case, i have 5 passes and 9 total and 5/9
is displayed as

0.55555555555555...

should i format this in my application code, or does
pgsql allow for formatting? i want to display 55.5%.

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