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? 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.
PB
>
