For single query...
Plan A:
Repeat the SELECT as once for each (MIN, AVG, etc) as a subquery in
WHERE bottom = ( SELECT MIN(bottom) ... )
Plan B:
FROM ( SELECT @min = MIN(bottom),
@max = MAX(bottom), ... )
JOIN data_cst mn ON bottom = @min
JOIN data_cst mx ON bottom = @max
Plan C:
Get rid of 3rd party packages that eventually get in your way instead of
'helping'.
> -----Original Message-----
> From: Larry Martell [mailto:[email protected]]
> Sent: Tuesday, September 18, 2012 4:57 AM
> To: [email protected]
> Cc: [email protected]
> Subject: Re: getting certain rows from a group by
>
> On Tue, Sep 18, 2012 at 7:52 AM, Peter Brawley
> <[email protected]> wrote:
> > On 2012-09-18 5:53 AM, Larry Martell wrote:
> >>
> >> I have this query:
> >>
> >> SELECT data_target.name as Target,
> >> q1.ep as EP,
> >> COUNT(*) as Wafers,
> >> Lots,
> >> SUM(numonep)/(COUNT(*)+SUM(CASE WHEN reruns > 0 THEN reruns
> >> ELSE 0 END)) as 'Sites/Wafer',
> >> MAX(LastRun) as "Last Run",
> >> SUM(CASE WHEN reruns > 0 THEN reruns ELSE 0 END) as Rerun,
> >> COUNT(*)+SUM(CASE WHEN reruns > 0 THEN reruns ELSE 0 END) as
> Runs,
> >> avgbottom as "Avg Bottom",
> >> 3*stdbottom as "3 Sig",
> >> maxbottom as Max,
> >> minbottom as Min,
> >> SUM(numonep) as Count,
> >> SUM(numonep) - SUM(numbottoms) as NAs,
> >> 100-((SUM(numonep) - SUM(numbottoms))/SUM(numonep)*100) as
> "%
> >> Success",
> >> 3*stdbottom/avgbottom as "3Sig/Avg",
> >> AVG(avgbottom) as 'Wafer Avg',
> >> AVG(Wafer3Sigma) as 'Wafer 3 Sigma',
> >> AVG(Ranges) as 'Avg Range',
> >> 3*STD(Ranges) as '3Sig of Ranges',
> >> MAX(Ranges) as 'Max Range',
> >> MIN(Ranges) as 'Min Range',
> >> (SUM(numonep) - SUM(numbottoms))/COUNT(*) as 'NAs/Wafer'
> >> FROM (SELECT target_name_id,
> >> ep,
> >> wafer_id,
> >> COUNT(bottom) as numbottoms,
> >> AVG(bottom) as avgbottom,
> >> STD(bottom) as stdbottom,
> >> MAX(bottom) as maxbottom,
> >> MIN(bottom) as minbottom,
> >> MAX(date_time) as "LastRun",
> >> COUNT(*) as numonep,
> >> COUNT(DISTINCT target_name_id, ep, lot_id,
> >> data_file_id)-1 as reruns,
> >> COUNT(DISTINCT(lot_id)) as Lots,
> >> 3*STD(bottom) as Wafer3Sigma,
> >> MAX(bottom) - MIN(bottom) as Ranges
> >> FROM data_cst
> >> WHERE target_name_id IN (775, 776, 777, 778, 779, 780, 45,
> 44,
> >> 116, 117, 118, 119, 120, 121)
> >> AND data_cst.date_time BETWEEN '2010-03-04 00:00:00' AND
> >> '2010-03-04 23:59:59'
> >> GROUP BY target_name_id, ep, wafer_id
> >> HAVING count(*) < 999) q1,
> >> data_target
> >> WHERE data_target.id = target_name_id GROUP BY q1.target_name_id,
> >> q1.ep;
> >>
> >>
> >> This works fine. But now I need to get a certain column
> >> (image_measurer_id) with each row returned that corresponds to the
> >> row from the group that has bottom = Min(bottom), bottom =
> >> Max(bottom), bottom closest to Avg(bottom), and bottom from the row
> >> where date_time = Max(date_time).
> >>
> >> Is this even possible from one query?
> >
> >
> > Might be, but what's the importance of doing it as one query?
>
> Because it's part of a django based web app, and the class that this is
> part of only supports having a single query. To use multiple queries
> will require a fairly major rewrite of the server side of that app.
>
> > I'd start by
> > saving this result to a temp table and developing the new query. When
> > that's running, see if you can to optimise a query built by replacing
> > the reference to the temp table with the original query.
>
> Thanks, I'll look into this.
>
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