SQL Server 2014 - Multiple SUM/COUNT with subqueries - sql-server

Question

I have a two part question.
First part is about the speed of what I am doing below. I am taking a data set and getting each DISTINCT, then joining a subquery that sums/counts with criteria, then repeating that five times. After the first LEFT JOIN I have a run time of 02 seconds, after the second LEFT JOIN I have a run time of 04 seconds, but on the third LEFT JOIN my run time goes to 44 seconds. If that pull that query aside and run it alone, it is just 01 second. The total run time for the finished query is 70 seconds.
First part question:
What is making this query dramatically slower at the third join?
Second part: I am sure that I am accomplishing this in an inefficient way. I looked around for a while and was unable to find a way to accomplish what I am doing in a simple way while still being able to have different criteria for each subquery.
Second part question:
Is there a better way of accomplishing this query?
Edit after user1413's comment.
SELECT DISTINCT at the beginning was showing 49% cost in SQL Server execution plan view. I changed the table that the SELECT DISTINCT was selecting from and my run time went down to below 01 second.
SELECT DISTINCT
od.location, currentTires, currentAlignments, currentLubes,
currentBatteries,currentSiping,currentCarcount
FROM
comm.dbo.ordetail as od
LEFT JOIN
(SELECT
od2.location, SUM(od2.qty_shipped) as currentTires
FROM
comm.dbo.ordetail as od2
JOIN
comm.dbo.invmas as invmas2 ON invmas2.item_num = od2.item#
JOIN
comm.dbo.ordhrd as oh2 ON oh2.location = od2.location
AND oh2.inv_date = od2.inv_date
AND oh2.invoice# = od2.invoice#
WHERE
(oh2.type_of_rec = '01' OR oh2.type_of_rec = '02')
AND od2.inv_date >= '2017-02-01 00:00:00.000'
AND od2.inv_date <= '2017-02-28 00:00:00.000'
AND ( invmas2.category = 'uhp' OR invmas2.category = 'tour' OR invmas2.category = 'mass' OR invmas2.category = 'suv' OR invmas2.category = 'ltat' OR invmas2.category = 'ltmt' OR invmas2.category = 'lthwy' OR invmas2.category = 'snow' OR invmas2.category = 'stdls' )
GROUP BY
od2.location) as currentTires ON od.location = currentTires.location
LEFT JOIN
(SELECT
od3.location, SUM(od3.qty_shipped) as currentAlignments
FROM
comm.dbo.ordetail as od3
JOIN
comm.dbo.invmas as invmas3 ON invmas3.item_num = od3.item#
JOIN
comm.dbo.ordhrd as oh3 ON oh3.location = od3.location
AND oh3.inv_date = od3.inv_date
AND oh3.invoice# = od3.invoice#
WHERE
(oh3.type_of_rec = '01' OR oh3.type_of_rec = '02')
AND od3.inv_date >= '2017-02-01 00:00:00.000'
AND od3.inv_date <= '2017-02-28 00:00:00.000'
AND (od3.item# = '8501' OR od3.item# = '8502')
GROUP BY
od3.location) as currentAlignments ON od.location = currentAlignments.location
LEFT JOIN
(SELECT
od4.location, SUM(od4.qty_shipped) as currentLubes
FROM
comm.dbo.ordetail as od4
JOIN
comm.dbo.invmas as invmas4 ON invmas4.item_num = od4.item#
JOIN
comm.dbo.ordhrd as oh4 ON oh4.location = od4.location
AND oh4.inv_date = od4.inv_date
AND oh4.invoice# = od4.invoice#
WHERE
(oh4.type_of_rec = '01' OR oh4.type_of_rec = '02')
AND od4.inv_date >= '2017-02-01 00:00:00.000'
AND od4.inv_date <= '2017-02-28 00:00:00.000'
AND (od4.item# = '200fs' OR od4.item# = '200c' OR od4.item# = '200m' OR od4.item# = '200s')
GROUP BY
od4.location) as currentLubes ON od.location = currentLubes.location
LEFT JOIN ( SELECT od5.location,SUM(od5.qty_shipped) as currentBatteries
FROM comm.dbo.ordetail as od5
JOIN comm.dbo.invmas as invmas5
ON invmas5.item_num = od5.item#
JOIN comm.dbo.ordhrd as oh5
ON oh5.location = od5.location
AND oh5.inv_date = od5.inv_date
AND oh5.invoice# = od5.invoice#
WHERE ( oh5.type_of_rec = '01' OR oh5.type_of_rec = '02' )
AND od5.inv_date >= '2017-02-01 00:00:00.000'
AND od5.inv_date <= '2017-02-28 00:00:00.000'
AND invmas5.manufact = 'inter'
GROUP BY od5.location) as currentBatteries
ON od.location = currentBatteries.location
LEFT JOIN ( SELECT od6.location,SUM(od6.qty_shipped) as currentSiping
FROM comm.dbo.ordetail as od6
JOIN comm.dbo.invmas as invmas6
ON invmas6.item_num = od6.item#
JOIN comm.dbo.ordhrd as oh6
ON oh6.location = od6.location
AND oh6.inv_date = od6.inv_date
AND oh6.invoice# = od6.invoice#
WHERE ( oh6.type_of_rec = '01' OR oh6.type_of_rec = '02' )
AND od6.inv_date >= '2017-02-01 00:00:00.000'
AND od6.inv_date <= '2017-02-28 00:00:00.000'
AND invmas6.manufact = 'inter'
GROUP BY od6.location) as currentSiping
ON od.location = currentSiping.location
LEFT JOIN ( SELECT od7.location,COUNT(DISTINCT oh7.invoice#) as currentCarcount
FROM comm.dbo.ordetail as od7
JOIN comm.dbo.ordhrd as oh7
ON oh7.location = od7.location
AND oh7.inv_date = od7.inv_date
AND oh7.invoice# = od7.invoice#
WHERE ( oh7.type_of_rec = '01' OR oh7.type_of_rec = '02' )
AND od7.inv_date >= '2017-02-01 00:00:00.000'
AND od7.inv_date <= '2017-02-28 00:00:00.000'
AND oh7.veh_make != ''
AND od7.item# != ''
GROUP BY od7.location) as currentCarcount
ON od.location = currentCarcount.location
ORDER BY od.location
Sample data output:

Answer 1

There are a lot of things that could be made better here. For starters, one of the following joins below could be eliminated as the same items are returned for both od5 and od6.
LEFT JOIN ( SELECT od5.location,SUM(od5.qty_shipped) as currentBatteries
FROM comm.dbo.ordetail as od5
JOIN comm.dbo.invmas as invmas5
ON invmas5.item_num = od5.item#
JOIN comm.dbo.ordhrd as oh5
ON oh5.location = od5.location
AND oh5.inv_date = od5.inv_date
AND oh5.invoice# = od5.invoice#
WHERE ( oh5.type_of_rec = '01' OR oh5.type_of_rec = '02' )
AND od5.inv_date >= '2017-02-01 00:00:00.000'
AND od5.inv_date <= '2017-02-28 00:00:00.000'
AND invmas5.manufact = 'inter'
GROUP BY od5.location) as currentBatteries
ON od.location = currentBatteries.location
LEFT JOIN ( SELECT od6.location,SUM(od6.qty_shipped) as currentSiping
FROM comm.dbo.ordetail as od6
JOIN comm.dbo.invmas as invmas6
ON invmas6.item_num = od6.item#
JOIN comm.dbo.ordhrd as oh6
ON oh6.location = od6.location
AND oh6.inv_date = od6.inv_date
AND oh6.invoice# = od6.invoice#
WHERE ( oh6.type_of_rec = '01' OR oh6.type_of_rec = '02' )
AND od6.inv_date >= '2017-02-01 00:00:00.000'
AND od6.inv_date <= '2017-02-28 00:00:00.000'
AND invmas6.manufact = 'inter'
GROUP BY od6.location) as currentSiping
ON od.location = currentSiping.location
As for performance and readability try something like below. NOTE : I can not possibly test this, however, it may give insight to someone with more time to fiddle with performance tuning your query.
DECLARE #LowDate DATETIME = '2017-02-01 00:00:00.000'
DECLARE #HighDate DATETIME = '2017-02-28 00:00:00.000'
SELECT
DetailList.location,
currentTires = SUM(currentTires),
currentAlignments = SUM(currentAlignments),
currentLubes = SUM(currentLubes),
currentBatteries = SUM(currentBatteries),
currentSiping = SUM(currentSiping),
carCount = SUM(hasCar)
FROM
(
SELECT
od.location,
currentLubes=CASE WHEN ( od.item# = '200fs' OR od.item# = '200c' OR od.item# = '200m' OR od.item# = '200s' ) THEN od.qty_shipped ELSE NULL END,
currentAlignments=CASE WHEN ( od.item# = '8501' OR od.item# = '8502' ) THEN od.qty_shipped ELSE NULL END,
currentSiping = CASE WHEN ( invmas.item_num = 'p15' OR invmas.item_num = 'u15' ) THEN od.qty_shipped ELSE NULL END,
currentBatteries = CASE WHEN invmas.manufact = 'inter' THEN od.qty_shipped ELSE NULL END,
currentTires= CASE WHEN ( invmas.category = 'uhp' OR invmas.category = 'tour' OR invmas.category = 'mass' OR invmas.category = 'suv' OR invmas.category = 'ltat' OR
invmas.category = 'ltmt' OR invmas.category = 'lthwy' OR invmas.category = 'snow' OR invmas.category = 'stdls' ) THEN od.qty_shipped ELSE NULL END,
hasCar= CASE WHEN (oh.veh_make != '' AND od.item# !='') THEN 1 ELSE 0 END
FROM
comm.dbo.ordetail as od
LEFT JOIN comm.dbo.invmas as invmas ON invmas.item_num = od.item# --FOR currentCarcount
INNER JOIN comm.dbo.ordhrd as oh ON oh.location = od.location AND oh.inv_date = od.inv_date AND oh.invoice# = od.invoice#
WHERE
od.inv_date BETWEEN '2017-02-01 00:00:00.000' AND '2017-02-28 00:00:00.000'
AND
oh.type_of_rec IN('01','02')
)AS DetailList
GROUP BY
DetailList.location