I've tried using CTE, but haven't been able to figure it out. I want to change the multiple rows into one row with multiple columns going accross. Any way to go about this...
Current Result
ern CostPool
111 NULL
111 5
Desired Result
ern CostPool1 CostPool2
111 NULL 5
SELECT first_name, last_name, ern, pc, title, TitleDesc, OfficeTitle, SUM(earned) earned, fypaydate, q
, [RMTS, Support, or Partial Quarter], SUM(CAST([Staff Employment Status] AS INT)) sumEmpStatus, SUM(CAST(countisMHy AS INT)) sumcountisMHy, SUM(CAST(sumisMHy AS INT)) sumisMHy1
, SUM(CAST(sumEligible AS INT)) sumEligible1
, CostPool
FROM (
SELECT
e.first_name, e.last_name
, fss.ern
, fss.pc
, fss4.title
, u.OfficeTitle
, t.TitleDesc
, SUM(fss.gross*fss.[percent]) earned
, fss.fypaydate, fss.q
, cpayfss3, cpaypdq
, CASE WHEN cpayfss3 = cpaypdq THEN '1' --full q
WHEN cpayfss3 < cpaypdq THEN '2' --part q
ELSE 'Check'
END [RMTS, Support, or Partial Quarter]
, CASE WHEN COUNT(DISTINCT rc.isMHy) = 2 THEN '9' --split
WHEN fss.pc = 'A' AND COUNT(DISTINCT rc.isMHy) = 1 AND SUM(CAST(rc.isMHy AS INT)) > 0 THEN '1' --full
WHEN fss.pc IN ('X', 'O', 'W', 'L', 'K') AND SUM(CAST(rc.isMHy AS INT)) > 0 THEN '2' --part
ELSE '0'
END [Staff Employment Status]
, COUNT(DISTINCT rc.isMHy) countisMHy
, SUM(CAST(rc.isMHy AS INT)) sumisMHy
, SUM(CAST(rc.Eligible AS INT)) sumEligible --count distinct too?
, rc.CostPool
FROM [FIN_DataMart].[dbo].[FSSpaydetl_NEW] fss
LEFT JOIN FIN_DataMart.[dbo].[FSSRC_NEW] rc
ON fss.newrc = rc.RC
AND fss.fypaydate = rc.FY
INNER JOIN
(
SELECT ern, fypaydate, q, COUNT(DISTINCT paydate) cpayfss3
FROM [FIN_DataMart].[dbo].[FSSpaydetl_NEW]
GROUP BY fypaydate, q, ern
) fss3
ON fss.ern = fss3.ern
AND fss.fypaydate = fss3.fypaydate
AND fss.q = fss3.q
LEFT JOIN
(
SELECT COUNT(DISTINCT paydate) cpaypdq, fy, q
FROM [FIN_DataMart].[dbo].[FSSPayDateQ]
GROUP BY fy, q
) pdq
ON fss.fypaydate = pdq.fy
AND fss.q = pdq.q
LEFT JOIN
[FIN_DataMart].[dbo].FSSEmployeeInfo e
ON fss.ern = e.ern
INNER JOIN
(
SELECT DISTINCT ern, title, tlvl, fy, q, ROW_NUMBER() OVER (PARTITION BY ern, fy, q ORDER BY title DESC) rn
FROM [FIN_DataMart].[dbo].[FSSpaydetl_NEW]
) fss4
ON fss.ern = fss4.ern
AND fss.fypaydate = fss4.fy
AND fss.q = fss4.q
AND fss4.rn = '1'
LEFT JOIN
(
SELECT TCode, TLevel, GenericTDesc as TitleDesc, EED,
ROW_NUMBER() OVER (PARTITION BY TCode, TLevel ORDER BY EED DESC) rn
FROM [FIN_DataMart].[dbo].FSATitle
) t
ON fss4.title = t.TCode
AND case when fss4.tlvl = '' THEN '01' WHEN fss4.tlvl IS NULL THEN '01' ELSE fss4.tlvl END = t.TLevel
AND t.rn = 1
LEFT JOIN FIN_DataMart.[dbo].[FSSUserERN] u
ON fss.ern = u.ern
WHERE fss.fypaydate = 2015
AND fss.q = 1
AND fss.obj <> '049' AND fss.obj NOT LIKE 'x%'
AND fss.title NOT IN ('10209', '1020B', '10234', '10232', '20202', '21205', '30086', '34201')
GROUP BY
fss.ern
, fss.pc
, fss4.title
, fss.fypaydate, fss.q
, cpayfss3, cpaypdq
, rc.CostPool
, t.TitleDesc
, e.first_name
, e.last_name
, u.OfficeTitle
HAVING SUM(CAST(rc.Eligible AS INT)) >=1
) A
GROUP BY
first_name, last_name, ern, pc, title, fypaydate, q
, [RMTS, Support, or Partial Quarter]
, OfficeTitle
, TitleDesc
, CostPool
ORDER BY first_name, last_name, fypaydate, q
You can look into using the Pivot operator to convert your rows into columns.
https://technet.microsoft.com/en-us/library/ms177410(v=sql.105).aspx
That method would work, although your sample data and expected result do not quite match the massive query you have posted so I cannot provide a more specific example until you provide more test data/expected outputs (and table schema).
Related
What I'm looking to do is quantify the total value of purchases and the number of months in which a purchase was made within three different timeframes by account. I only want to look at accounts who made a purchase between 1-1-2020 and 4-1-2021.
I'm wondering if there is a more streamlined way to pull in the fields I'm creating using CASE WHEN below (maybe through a series of queries to create the calculations and the left joining?). This query is taking extremely long to pull back, so I'd like to enhance this code where I can. All of my code and desired output is listed below. Thank you!
Creating a temporary table to pull account numbers:
DROP TABLE IF EXISTS #accounts
SELECT DISTINCT s.account_no, c.code, c.code_desc
INTO #accounts
FROM sales AS s
LEFT JOIN customer AS c ON s.account_no = c.account_no
WHERE s.tran_date BETWEEN '2020-01-01' AND '2021-04-01'
GROUP BY s.account_no, c.code, c.code_desc;
Confirming row counts:
SELECT COUNT (*)
FROM #accounts
ORDER BY account_no;
Creating Sales and Sales period count columns for three timeframes:
SELECT
s.account_no, c.code, c.code_desc
SUM(CASE
WHEN s.tran_date BETWEEN '2020-01-01' AND '2021-04-01'
THEN VALUE_USD
END) AS Total_Spend_Pre,
SUM(CASE
WHEN s.tran_date BETWEEN '2021-04-01' AND '2022-03-31'
THEN VALUE_USD
END) Total_Spend_During,
SUM(CASE
WHEN s.tran_date > '2022-04-01'
THEN VALUE_USD
END) Total_Spend_Post,
COUNT(DISTINCT CASE WHEN s.tran_date BETWEEN '2020-01-01' AND '2021-04-01' THEN CONCAT(s.bk_month, s.bk_year) END) Pre_Periods,
COUNT(DISTINCT CASE WHEN s.tran_date BETWEEN '2021-04-01' AND '2022-03-31' THEN CONCAT(s.bk_month, s.bk_year) END) During_Periods,
COUNT(DISTINCT CASE WHEN s.tran_date > '2022-04-01' THEN CONCAT(s.bk_month, s.bk_year) END) Post_Periods
FROM
sales AS s
LEFT JOIN
customer AS c ON s.account_no = c.account_no
WHERE
c.account_no IN (SELECT DISTINCT account_no
FROM #accounts)
GROUP BY
s.account_no, c.code, c.code_desc;
Desired output:
account_no
code
code_desc
Total_Spend_Pre
Total_Spend_During
Total_Spend_Post
Pre_Periods
During_Periods
Post_Periods
25
1234
OTHER
1000
2005
500
2
14
5
11
5678
PC
500
100
2220
5
11
2
You may use your date ranges to join with dataset, and 'Tag' your result like below, this will result in 3 rows, for each group. If you need them in a single row, have PIVOTE over it
;With DateRanges AS (
SELECT CAST('2020-01-01' AS DATE) StartDate, CAST('2021-04-01' AS DATE) EndDate, 'Pre' Tag UNION
SELECT '2021-04-01', '2022-03-31', 'During' UNION
SELECT '2022-04-01', Null, 'Post'
)
SELECT s.account_no, c.code, c.code_desc, d.Tag,
SUM(VALUE_USD) AS Total_Spend,
COUNT(DISTINCT CONCAT(s.bk_month, s.bk_year)) RecordCount
FROM sales as s
LEFT JOIN customer as c
INNER JOIN DateRanges D ON s.tran_date BETWEEN D.StartDate AND ISNULL(D.EndDate,s.tran_date)
ON s.account_no = c.account_no
WHERE c.account_no IN (SELECT DISTINCT account_no FROM #accounts)
GROUP BY s.account_no, c.code, c.code_desc;
with [cte_accountActivityPeriods] as (
select [PeriodOrdinal] = 1, [PeriodName] = 'Total Spend Pre', [PeriodStart] = convert(date,'2020-01-01',23) , [PeriodFinish] = convert(date,'2021-03-31',23) union
select [PeriodOrdinal] = 2, [PeriodName] = 'Total Spend During', [PeriodStart] = convert(date,'2021-04-01',23) , [PeriodFinish] = convert(date,'2022-03-31',23) union
select [PeriodOrdinal] = 3, [PeriodName] = 'Total Spend Post', [PeriodStart] = convert(date,'2022-04-01',23) , [PeriodFinish] = convert(date,'9999-12-31',23)
)
, [cte_allsalesForActivityPeriod]
SELECT s.account_no, bk_month, bk_year, [PeriodOrdinal], s.tran_date, s.value_usd
FROM sales as s
cross join [cte_accountActivityPeriods]
on s.[tran_date] between [cte_ActivityPeriods].[PeriodStart] and [cte_ActivityPeriods].[PeriodFinish]
)
, [cte_uniqueAccounts] as ( /*Unique and qualifying Accounts*/
select distinct account_no from [cte_allsalesForActivityPeriod]
inner join #accounts accs on accs.[account_no] = [cte_allsalesForActivityPeriod].[account_no]
)
, [cte_AllSalesAggregatedByPeriod] as (
select account_no, [PeriodOrdinal], bk_month, bk_year, [PeriodTotalSpend] = sum([value_usd])
from [cte_allsalesForActivityPeriod]
group by s.account_no, [PeriodOrdinal], bk_month, bk_year
)
, [cte_PeriodAnalysis] as (
select account_no, [PeriodOrdinal], [ActivePeriods] = count(distinct concat(bk_month, bk_year))
from [cte_AllSalesAggregatedByPeriod]
group by s.account_no, [PeriodOrdinal]
)
, [cte_pivot_clumsily] as (
/* Aggregations already done - so simple pivot */
select [cte_uniqueAccounts].[account_no]
, [Total_Spend_Pre] = case when [SaleVal].[PeriodOrdinal] in (1) then [SaleVal].[PeriodTotalSpend] else 0 end
, [Total_Spend_During] = case when [SaleVal].[PeriodOrdinal] in (2) then [SaleVal].[PeriodTotalSpend] else 0 end
, [Total_Spend_Post] = case when [SaleVal].[PeriodOrdinal] in (3) then [SaleVal].[PeriodTotalSpend] else 0 end
, [Pre_Periods] = case when [SalePrd].[PeriodOrdinal] in (1) then [SalePrd].[ActivePeriods] else 0 end
, [During_Periods] = case when [SalePrd].[PeriodOrdinal] in (2) then [SalePrd].[ActivePeriods] else 0 end
, [Post_Periods] = case when [SalePrd].[PeriodOrdinal] in (3) then [SalePrd].[ActivePeriods] else 0 end
from [cte_uniqueAccounts]
left join [cte_AllSalesAggregatedByPeriod] [SaleVal] on [SaleVal].[account_no] = [cte_uniqueAccounts].[account_no]
left join [cte_PeriodAnalysis] [SalePrd] on [SalePrd].[account_no] = [cte_uniqueAccounts].[account_no]
)
select c.code, c.code_desc, [cte_pivot_clumsily].*
from [cte_pivot_clumsily]
LEFT JOIN customer as c
ON [cte_pivot_clumsily].account_no = c.account_no
I need to be able to get rid of one of the workdate and one of the sr_name columns but I can't figure out how to.
I'm getting the query returned like this:
Query
I'm also getting this error message when entered into tableau:
The column 'sr_name' was specified multiple times for 'Custom SQL Query'.
Below is the code I have. If I remove a sr_name from either subquery there will be an error in the join clause.
select *
from
(
select s.sr_name, cast(punchdatetime as date) as workdate,
((datediff(second, min(case when p.InOut = 1 then punchdatetime end),
max(case when p.InOut = 0 then punchdatetime end))/3600) - .5) as
hoursworked
from PunchClock p join ServiceReps s on p.ServRepID = s.ServRepID
where punchyear >= 2019
group by s.sr_name, cast(punchdatetime as date)
) v
join
(
select sr_name, t.*,
calls = (select count(*) from CRM_Correspondence cr where
cast(cr.DateCreated as date) = workdate and StatusType like '%call%' and
cr.ServRepID = t.servrepid),
reaches = (select count(*) from CRM_Correspondence cr where
cast(cr.DateCreated as date) = workdate and (StatusType = 'call reached'
or StatusType like '%SCHEDULE%') and cr.ServRepID = t.servrepid),
books = (select count(*) from os_appointments o where cast(o.DateCreated
as date) = workdate and isnull(o.confirmedby, o.booked_by) =
t.servrepid),
attends = (select count(*) from os_appointments o where
cast(o.DateCreated as date) = workdate and isnull(o.confirmedby,
o.booked_by) = t.servrepid and o.appointmentStatus = 'attended')
from
(
select cast(cor.datecreated as date) workdate, cor.ServRepID
from CRM_Correspondence cor
where cor.datecreated > '2019-01-01'
group by cast(cor.datecreated as date), cor.servrepid
) t
join ServiceReps sr on t.ServRepID = sr.ServRepID
) u on v.sr_name = u.sr_name and v.workdate = u.workdate
I need the same results just without the duplicate column so I can enter the query into tableau.
This is challenging because you have so many subqueries here. This could be refactored to use a single query which is what I would do. But using the existing query you could do something along these lines.
I had to format this very differently so I could isolate each piece.
select v.sr_name
, v.workdate
, v.hoursworked
, u.ServRepID
, u.calls
, u.reaches
, u.books
, u.attends
from
(
select s.sr_name
, cast(punchdatetime as date) as workdate
, ((datediff(second, min(case when p.InOut = 1 then punchdatetime end), max(case when p.InOut = 0 then punchdatetime end))/3600) - .5) as hoursworked
from PunchClock p
join ServiceReps s on p.ServRepID = s.ServRepID
where punchyear >= 2019
group by s.sr_name
, cast(punchdatetime as date)
) v
join
(
select sr_name
, t.*
, calls =
(
select count(*)
from CRM_Correspondence cr
where cast(cr.DateCreated as date) = workdate
and StatusType like '%call%'
and cr.ServRepID = t.servrepid
)
, reaches =
(
select count(*)
from CRM_Correspondence cr
where cast(cr.DateCreated as date) = workdate
and (StatusType = 'call reached' or StatusType like '%SCHEDULE%')
and cr.ServRepID = t.servrepid
)
, books =
(
select count(*)
from os_appointments o
where cast(o.DateCreated as date) = workdate and isnull(o.confirmedby, o.booked_by) = t.servrepid
)
, attends =
(
select count(*)
from os_appointments o
where cast(o.DateCreated as date) = workdate
and isnull(o.confirmedby, o.booked_by) = t.servrepid
and o.appointmentStatus = 'attended'
)
from
(
select cast(cor.datecreated as date) workdate
, cor.ServRepID
from CRM_Correspondence cor
where cor.datecreated > '2019-01-01'
group by cast(cor.datecreated as date)
, cor.servrepid
) t
join ServiceReps sr on t.ServRepID = sr.ServRepID
) u on v.sr_name = u.sr_name
and v.workdate = u.workdate
Spool space error
I ran the query and I get no more spool space in ID error. When I remove the 2 select statements (above the from statement), it runs fine. Need help optimizing the query please.
select NOT_FILETM_LOC_DTTM as documented_date, HNO_INFO.pat_enc_csn_id, AUTHOR_USER_ID, clarity_emp.name as md,patient.pat_id,hno_note_text.note_text, pat_mrn_id, cast(NOT_FILETM_LOC_DTTM as date) - cast( patient.birth_date as date) year (4) as age,
(select department_name from clarity_dep, clarity_adt where clarity_adt.department_id = dep.department_id and event_id =
(select max(event_id) from clarity_adt adt where pat_enc_hsp.pat_enc_csn_id = adt.pat_enc_csn_id and adt.EVENT_SUBTYPE_C <> 2 and adt.event_type_c<>6 and adt.effective_time <= NOT_FILETM_LOC_DTTM) ) as unit
from HNO_INFO, hno_note_text, NOTE_ENC_INFO, clarity_emp, patient, pat_enc_hsp
where OTE_ENC_INFO.note_id = HNO_INFO.note_id
and hno_note_text.note_id = HNO_INFO.note_id
and hno_note_text.note_text like ('%Procedural Sedation Stop Time:%')
and (hno_note_text.note_text like ('%PICC%') or hno_note_text.note_text like ('%Lumbar Puncture%'))
and emp.user_id = AUTHOR_USER_ID
and patient.pat_id = HNO_INFO.pat_id
and pat_enc_hsp.pat_enc_csn_id = HNO_INFO.pat_enc_csn_id
and cast(documented_date as date) >= '2018-01-01'
qualify row_number() over (partition by HNO_INFO.pat_enc_csn_id order by documented_date )=1
Okay, let's try this:
select
NOT_FILETM_LOC_DTTM as documented_date
, HNO_INFO.pat_enc_csn_id,
AUTHOR_USER_ID, emp."NAME" as md,patient.pat_id,hno_note_text.note_text, pat_mrn_id
, cast(NOT_FILETM_LOC_DTTM as date) - cast( patient.birth_date as date) year (4) as age
, department_name unit
, adt.event_id
from HNO_INFO
, hno_note_text
, NOTE_ENC_INFO
, clarity_emp emp
, patient
, pat_enc_hsp
,clarity_dep
--, clarity_adt
,(select max(event_id) event_id, adt.pat_enc_csn_id, department_id, effective_time from clarity_adt adt
where adt.EVENT_SUBTYPE_C <> 2 and adt.event_type_c<>6
group by adt.pat_enc_csn_id, department_id, effective_time
) adt
where
NOTE_ENC_INFO.note_id = HNO_INFO.note_id
and adt.department_id = clarity_dep.department_id
and pat_enc_hsp.pat_enc_csn_id = adt.pat_enc_csn_id
and adt.effective_time <= NOT_FILETM_LOC_DTTM
and hno_note_text.note_id = HNO_INFO.note_id
and hno_note_text.note_text like ('%Procedural Sedation Stop Time:%')
and (hno_note_text.note_text like ('%PICC%') or hno_note_text.note_text like ('%Lumbar Puncture%'))
and emp.user_id = AUTHOR_USER_ID
and patient.pat_id = HNO_INFO.pat_id
and pat_enc_hsp.pat_enc_csn_id = HNO_INFO.pat_enc_csn_id
and cast(documented_date as date) >= '2018-01-01'
qualify row_number() over (partition by HNO_INFO.pat_enc_csn_id order by documented_date )=1
;
Anyone know how I can change the Total Median near bottom to show an average of the median instead? For some reason, the Total Median is always 100. Not sure what I should do.
Thanks in advance for any ideas! Current results also below.
WITH CTE AS (
SELECT DISTINCT c.CaseID AS CaseID,
DATEDIFF(d, c.CaseAddDt, coip.DispoDt) AS DaysApart
, DATEPART(month,c.CaseAddDt) AS [Month]
, DATEPART(year,c.CaseAddDt) AS [Year]
, CAST(DATEPART(year,c.CaseAddDt) AS varchar) + '|' + CASE WHEN DATEPART(month,c.CaseAddDt) IN (10,11,12) THEN CAST(DATEPART(month,c.CaseAddDt) AS varchar) ELSE '0' + CAST(DATEPART(month,c.CaseAddDt) AS varchar) END AS Srt
FROM jw50_Case c
JOIN jw50_CaseInvPers def ON def.CaseID = c.CaseID
AND def.InvolveTypeMasterCode = 1
JOIN
jw50_CountInvPers coip ON coip.CaseID = c.CaseID
AND coip.CaseInvPersID = def.CaseInvPersID
AND coip.DispoCode IN ('CODE','CODE')
AND coip.CountNum > 0
OUTER APPLY (
SELECT TOP 1 caz.CaseAgencyID
FROM jw50_CaseAgency caz
WHERE caz.CaseID = c.CaseID
AND caz.AgencyCode = 'ABC'
AND caz.NumberTypeCode IN ('i#','in#')) caz
WHERE
EXISTS (SELECT 1 FROM jw50_CaseAttributes ca WHERE ca.CaseID = c.CaseID AND ca.CaseAttributeCode = 'oa7')
AND caz.CaseAgencyID IS NOT NULL
AND c.CaseStatusCode <> 'AAA'
AND c.CaseAddDt BETWEEN '01/01/2017' AND '08/01/2017'
AND c.CaseAddDt <= coip.DispoDt)
SELECT a.CaseID,
a.Month
, a.Year
, a.DaysApart
, a.Srt
, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY a.DaysApart) OVER (PARTITION BY a.Month, a.Year) AS MonMedian
, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY a.DaysApart) OVER (PARTITION BY 1) AS TotalMedian
FROM CTE a
Results:
The SQL below is written to return 'open orders'. This was written in a way I could understand but now I would like to try and optimize this and reduce the amount of code.
The SQL below gives me the desired outcome I'm looking for however, I would like to shorten the query without using WITH AS. Any suggestions using UNION or some other nesting method?
WITH
product AS --filter by dept
(SELECT item
, dept
FROM item_master
WHERE dept in ('353')
),
open_orders AS --view of orders in Status A with ordered units > received units
(SELECT ol.order_no
, ol.item
, ol.location
, oh.po_type
, oh.order_type
, oh.not_before_date
, oh.not_after_date
, oh.otb_eow_date
, SUM(ol.qty_ordered) AS qty_ordered
, SUM(NVL(ol.qty_received,0)) AS qty_received
FROM ordhead oh
, ordloc ol
WHERE oh.order_no = ol.order_no
AND oh.status = 'A'
AND ol.qty_ordered > NVL(ol.qty_received,0)
-- AND ol.order_no in ('18701212') --optional filter for specific PO's
GROUP BY ol.order_no
, ol.item
, ol.location
, oh.po_type
, oh.order_type
, oh.not_before_date
, oh.not_after_date
, oh.otb_eow_date
),
allocations AS --view of all allocations
(SELECT ah.alloc_no
, ah.order_no
, ah.item
, ad.to_loc
, NVL(ad.qty_allocated,0) AS qty_allocated
, NVL(ad.qty_received,0) AS qty_received
FROM alloc_header ah
, alloc_detail ad
WHERE ah.alloc_no = ad.alloc_no
)
SELECT p.dept --main query on above views
, oo.order_no
, oo.po_type
, oo.order_type
, oo.not_before_date
, oo.not_after_date
, oo.otb_eow_date
, oo.item
, CASE WHEN oo.po_type = 0 THEN oo.location ELSE aa.to_loc END AS loc
, SUM(oo.qty_ordered) AS order_qty
, CASE WHEN SUM(NVL(aa.qty_allocated,0)) - SUM(NVL(aa.qty_received,0)) = 0
THEN SUM(oo.qty_ordered) - SUM(NVL(oo.qty_received,0))
ELSE SUM(NVL(aa.qty_allocated,0)) - SUM(NVL(aa.qty_received,0))
END AS open_qty
FROM open_orders oo
, allocations aa
, product p
WHERE oo.order_no = aa.order_no(+)
AND oo.item = aa.item(+)
AND oo.item = p.item
AND (oo.qty_ordered - oo.qty_received) >0
GROUP BY p.dept
, oo.order_no
, oo.po_type
, oo.order_type
, oo.not_before_date
, oo.not_after_date
, oo.otb_eow_date
, oo.item
, CASE WHEN oo.po_type = 0 THEN oo.location ELSE aa.to_loc END
;
CTE's (Common Table Expressions) are just a way of organizing a query by sticking bits of code (that define a "derived" table) at the top that can be reused in the main statement. As such, where product, open_orders, and allocations are mentioned in the FROM clause, you can just swap those words out with the code that defines them:
SELECT p.dept --main query on above views
,
oo.order_no,
oo.po_type,
oo.order_type,
oo.not_before_date,
oo.not_after_date,
oo.otb_eow_date,
oo.item,
CASE
WHEN oo.po_type = 0
THEN oo.location
ELSE aa.to_loc
END AS loc,
SUM(oo.qty_ordered) AS order_qty,
CASE
WHEN SUM(NVL(aa.qty_allocated, 0)) - SUM(NVL(aa.qty_received, 0)) = 0
THEN SUM(oo.qty_ordered) - SUM(NVL(oo.qty_received, 0))
ELSE SUM(NVL(aa.qty_allocated, 0)) - SUM(NVL(aa.qty_received, 0))
END AS open_qty
FROM (
SELECT ol.order_no,
ol.item,
ol.location,
oh.po_type,
oh.order_type,
oh.not_before_date,
oh.not_after_date,
oh.otb_eow_date,
SUM(ol.qty_ordered) AS qty_ordered,
SUM(NVL(ol.qty_received, 0)) AS qty_received
FROM ordhead oh,
ordloc ol
WHERE oh.order_no = ol.order_no
AND oh.STATUS = 'A'
AND ol.qty_ordered > NVL(ol.qty_received, 0)
-- AND ol.order_no in ('18701212') --optional filter for specific PO's
GROUP BY ol.order_no,
ol.item,
ol.location,
oh.po_type,
oh.order_type,
oh.not_before_date,
oh.not_after_date,
oh.otb_eow_date
) oo,
(
SELECT ah.alloc_no,
ah.order_no,
ah.item,
ad.to_loc,
NVL(ad.qty_allocated, 0) AS qty_allocated,
NVL(ad.qty_received, 0) AS qty_received
FROM alloc_header ah,
alloc_detail ad
WHERE ah.alloc_no = ad.alloc_no
) aa,
(
SELECT item,
dept
FROM item_master
WHERE dept IN ('353')
) p
WHERE oo.order_no = aa.order_no(+)
AND oo.item = aa.item(+)
AND oo.item = p.item
AND (oo.qty_ordered - oo.qty_received) > 0
GROUP BY p.dept,
oo.order_no,
oo.po_type,
oo.order_type,
oo.not_before_date,
oo.not_after_date,
oo.otb_eow_date,
oo.item,
CASE
WHEN oo.po_type = 0
THEN oo.location
ELSE aa.to_loc
END;
This is obviously not shortened (but by a few characters), but I get the sense that "shortening" isn't your requirement. You are trying to get this query to work in a product that doesn't support CTEs.