Question on Optimization in SQL:
What do you think would be faster, a CASE statement for all 50 states to
group them into regions, or inner joining to a file that has the regions
setup and each state defined?
With CASE, I would not have to have the 5th file joined to this query, and
as the origin state field is non-indexed, I think the inner join would
hamper the query pretty badly.
Anyone have any 'best practice' advice?
Here is my current query....
SELECT
SUM(CASE
WHEN F2.ORBAMT > 0 THEN F2.ORBAMT
ELSE ((SELECT
SUM(DISMNF)
FROM
LOAD
WHERE
LOAD.DIODR## = F2.ORODR##) * 1.35)
END) as Revenue,
MONTH(SUBSTR(DIGITS(0+F1.DIDATE),2,7)) as Month,
YEAR(SUBSTR(DIGITS(0+F1.DIDATE),2,7)) as Year,
F4.NMAREG as Region,
SUM(F1.DISMNF) as LoadedMiles,
SUM(F1.DIEMIL) as EmptyMiles,
COUNT(F2.ORODR##) as OrderCount
FROM
LOADDATE F1 INNER JOIN ORDBILL F2 ON F1.DIODR## = F2.ORODR##
INNER JOIN ORDER F3 ON F1.DIODR## = F3.ORODR##
INNER JOIN NMSAREA F4 ON Trim(F3.OROST) = Trim(F4.NMACOD) WHERE
F1.DIDATE >= 2004001
AND F1.DIDATE <= 2004274
AND F1.DIDISP = '01'
AND ORSTAT IN ('D', 'E')
GROUP BY
YEAR(SUBSTR(DIGITS(0+F1.DIDATE),2,7)),
MONTH(SUBSTR(DIGITS(0+F1.DIDATE),2,7)), F4.NMAREG
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