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?

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