I need to select extra columns from another table in my sql query.
SELECT
d.UnitID,
b.BookingID,
d.ProjectID,
b.ClientName,
(SELECT LetterTypeID
FROM Letters
WHERE ProjectID = 27 AND BookingID = b.BookingID)
FROM
ScheduledDues AS d
INNER JOIN
Booking AS b ON d.BookingID = b.BookingID
INNER JOIN
Units AS u ON d.UnitID = u.UnitID
WHERE
d.ProjectID = 27
AND DueFrom <= GETDATE()
GROUP BY
d.BookingID, d.UnitID, d.ProjectID,
u.UnitNo, b.ClientName
HAVING
SUM(DueTill) = 0
How can I do this? and have it in group by. Is selecting LetterTypeID possible?
Need to use LetterTypeID in group by like below or You can fetch results without letters table into temp and join it with letters to get LetterTypeID
SELECT d.UnitID,
b.BookingID,
d.ProjectID,
b.ClientName,
l.LetterTypeID
FROM ScheduledDues AS d INNER JOIN
Booking AS b ON d.BookingID = b.BookingID INNER JOIN
Units AS u ON d.UnitID = u.UnitID INNER JOIN
Letters AS l ON b.BookingID=l.BookingID AND l.ProjectID=27
WHERE d.ProjectID = 27 AND
DueFrom <= GETDATE()
GROUP BY d.BookingID,
d.UnitID,
d.ProjectID,
u.UnitNo,
b.ClientName,
l.LetterTypeID
HAVING SUM(DueTill) = 0
Can you try this query
SELECT BookingID, UnitID, ProjectID
UnitNo, ClientName ,LetterTypeID FROM (SELECT
d.UnitID,
b.BookingID,
d.ProjectID,
b.ClientName,
DueTill,
(SELECT LetterTypeID
FROM Letters
WHERE ProjectID = 27 AND BookingID = b.BookingID) LetterTypeID
FROM
ScheduledDues AS d
INNER JOIN
Booking AS b ON d.BookingID = b.BookingID
INNER JOIN
Units AS u ON d.UnitID = u.UnitID
WHERE
d.ProjectID = 27
AND DueFrom <= GETDATE()) x
GROUP BY
BookingID, UnitID, ProjectID,
UnitNo, ClientName ,LetterTypeID
HAVING
SUM(DueTill) = 0
Related
Is there a way to multiply an aggregate function? I need to multiply SUM(ma.gewight) for every article (an article is, for example, H114972 which is iron and is 32,1 meters) so the GROUP BY groups all same articles and for every different article I need to multiply a different number (the column that I am using to multiply is e.best_wert which is the meters, mentioned above). So basically I need to multiply the SUM(ma.gewicht) with e.best_wert - but it doesn't work.
PS. Gewicht = weight
PSS. e.best_wert = weight value/meters
SELECT m.artikel, COUNT(ei.bestell_po) bestell_po_menge, SUM(ma.gewicht) AS summe_gewicht--, SUM(e.best_wert*ma.gewicht) AS summe_kg
FROM MATV030 m
INNER JOIN EINV030 e ON e.BESTELL_NR = m.BESTELL_NR
INNER JOIN EINV035 ei ON e.bestell_nr = ei.bestell_nr
INNER JOIN MATV010 ma ON m.ARTIKEL = ma.ARTIKEL
WHERE e.lieferant = '6000176' AND m.menge_buch <> 0
--AND m.artikel = 'H114972'
AND m.bs = 'WE' AND m.budatum >= '20190101' AND m.budatum < '20190201'
GROUP BY m.artikel, ma.gewicht
ORDER BY m.artikel ASC
Try like this
SELECT m.artikel, COUNT(ei.bestell_po) bestell_po_menge, SUM(ma.gewicht) AS summe_gewicht, (e.best_wert * SUM(ma.gewicht)) AS summe_kg
FROM MATV030 m
INNER JOIN EINV030 e ON e.BESTELL_NR = m.BESTELL_NR
INNER JOIN EINV035 ei ON e.bestell_nr = ei.bestell_nr
INNER JOIN MATV010 ma ON m.ARTIKEL = ma.ARTIKEL
WHERE e.lieferant = '6000176' AND m.menge_buch <> 0
--AND m.artikel = 'H114972'
AND m.bs = 'WE' AND m.budatum >= '20190101' AND m.budatum < '20190201'
GROUP BY m.artikel, e.best_wert
ORDER BY m.artikel ASC
Try this,
;With CTE as
(
SELECT ma.ARTIKEL, SUM(ma.gewicht) AS summe_gewicht--, SUM(e.best_wert*ma.gewicht) AS summe_kg
FROM MATV030 m
INNER JOIN MATV010 ma ON m.ARTIKEL = ma.ARTIKEL
WHERE m.menge_buch > 0
--AND m.artikel = 'H114972'
AND m.bs = 'WE' AND m.budatum >= '20190101' AND m.budatum < '20190201'
GROUP BY m.ARTIKEL
--ORDER BY m.artikel ASC
)
SELECT m.artikel, COUNT(ei.bestell_po) bestell_po_menge,summe_gewicht, summe_gewicht*e.best_wert AS summe_kg
FROM CTE C
inner join MATV030 m on m.artikel=c.artikel
INNER JOIN EINV030 e ON e.BESTELL_NR = m.BESTELL_NR
INNER JOIN EINV035 ei ON e.bestell_nr = ei.bestell_nr
WHERE e.lieferant = '6000176'
GROUP BY m.artikel
ORDER BY m.artikel ASC
You can create A CTE (Common Table Expression) table with your aggregate values and then multiply both the tables using CTE.
I have the following query which takes around 4 minutes to execute.
DECLARE #tdate DATETIME = '2019-09-01 00:00:00.000'
SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h
ON c.id = h.clid
WHERE h.status = 1
AND h.connect_radius IS NOT NULL
AND c.status = 1
AND h.type = 'Residential'
AND h.holdinNo NOT IN (SELECT holdingNo
FROM [db_land].[dbo].tbl_bill
WHERE year(date_month) = YEAR(#tdate)
AND MONTH(date_month) = MONTH(#tdate)
AND ( update_by IS NOT NULL
OR ispay = 1 ))
I found the inner join takes only few seconds.
SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h
ON c.id = h.clid
WHERE h.status = 1
AND h.connect_radius IS NOT NULL
AND c.status = 1
AND h.type = 'Residential'
It's the NOT IN checking which takes a lot of time. How I can optimize this query? For me it's needed to execute the query at least with in minute.
Make sure the WHERE and JOIN clause predicates are sargable. Applying a function to a column (e.g. YEAR(date_month)) prevents indexes on the column from being used efficiently.
Try this expression instead to avoid the functions. There are other methods depending on the SQL Server version.
WHERE
date_month >= DATEADD(day, 1, DATEADD(month, -1, EOMONTH(#tdate)))
AND date_month < DATEADD(day, 1, DATEADD(month, 1, EOMONTH(#tdate)))
Try by replacing NOT IN with a LEFT JOIN of the table [db_land].[dbo].tbl_bill on all the conditions and adding in the WHERE clause holdingNo is null so the returned rows are the non matching rows:
select c.id as clid, h.id as hlid,h.holdinNo, c.cliendID, c.clientName, h.floor, h.connect_radius
from [db_land].[dbo].tbl_client as c
inner join [db_land].[dbo].tx_holding as h
on c.id= h.clid
left join [db_land].[dbo].tbl_bill as b
on b.holdingNo = h.holdinNo and year(b.date_month) = YEAR(#tdate) and MONTH(b.date_month) = MONTH(#tdate)
and (b.update_by is not null or b.ispay = 1)
where h.status = 1 and h.connect_radius is not null and c.status=1 and h.type='Residential' and b.holdingNo is null
I would recommend changing the NOT IN to NOT EXISTS and adding an index:
WHERE . . . AND
NOT EXISTS (SELECT 1
FROM [db_land].[dbo].tbl_bill b
WHERE b.holdingNo = h.holdingNo AND
b.date_month >= DATEFROMPARTS(YEAR(#tdate), MONTH(#tdate), 1) AND
b.date_month < DATEADD(month, 1, DATEFROMPARTS(YEAR(#tdate), MONTH(#tdate), 1)) AND
(b.update_by IS NOT NULL OR b.ispay = 1
)
Then the index that you want is on tbl_bill(holdingNo, date_month, update_by, ispay).
Put your sub query into temp table :
DECLARE #tdate DATETIME = '2019-09-01 00:00:00.000'
SELECT holdingNo
into #TmpholdingNo
FROM [db_land].[dbo].tbl_bill
WHERE year(date_month) = YEAR(#tdate)
AND MONTH(date_month) = MONTH(#tdate)
AND ( update_by IS NOT NULL
OR ispay = 1 )
SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h
ON c.id = h.clid
WHERE h.status = 1
AND h.connect_radius IS NOT NULL
AND c.status = 1
AND h.type = 'Residential'
AND h.holdinNo NOT IN (SELECT holdingNo from #TmpholdingNo)
drop table #TmpholdingNo
Rather than using functions in your WHERE clause try calculating the start and end filter dates, using OPTION (RECOMPILE) can help SQL to use the actual values of your variables in your query plan. I would also change NOT IN to NOT EXISTS:
DECLARE #tdate DATETIME = '2019-09-01 00:00:00.000'
DECLARE #startDate DATE = DATEFROMPARTS(YEAR(#tdate), MONTH(#tdate), 1)
DECLARE #endDate DATE = DATEADD(day,1,EOMONTH(#tdate))
SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h
ON c.id = h.clid
WHERE h.status = 1
AND h.connect_radius IS NOT NULL
AND c.status = 1
AND h.type = 'Residential'
AND NOT EXISTS (SELECT holdingNo
FROM [db_land].[dbo].tbl_bill
WHERE holdingNo = h.holdinNo AND
date_month >= #startDate AND
date_month < #endDate AND
AND ( update_by IS NOT NULL
OR ispay = 1 ))
OPTION (RECOMPILE)
give a try try this:
select main.* from
(SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h
ON c.id = h.clid
WHERE h.status = 1
AND h.connect_radius IS NOT NULL
AND c.status = 1
AND h.type = 'Residential')main
left join
(select holdingNo from
(SELECT holdingNo, update_by, ispay
FROM [db_land].[dbo].tbl_bill
WHERE year(date_month) = YEAR(#tdate)
AND MONTH(date_month) = MONTH(#tdate))bill1
where update_by IS NOT NULL OR ispay = 1)bill2
on main.holdinNo = bill2.holdinNo
where bill2.holdinNo is null
put the filter list at variable,then them apply the filter
DECLARE #filter TABLE INSERT INTO #filter SELECT FROM [db_land].[dbo].tbl_bill
them apply the filter
DECLARE #tdate DATETIME = '2019-09-01 00:00:00.000'
SELECT c.id AS clid,
h.id AS hlid,
h.holdinNo,
c.cliendID,
c.clientName,
h.floor,
h.connect_radius
FROM [db_land].[dbo].tbl_client AS c
INNER JOIN [db_land].[dbo].tx_holding AS h ON c.id= h.clid
WHERE h.status=1
AND h.connect_radius IS NOT NULL
AND c.status=1
AND h.type='Residential'
AND h.holdinNo NOT IN (filter)
I have the below query that gets counts of distinct USERID's from the various tables and sums them to a grand total. I am expecting a total of 35 as the results, however I am only getting 30 as a result from this query. What it appears to be doing is when it finds the same USERID in more than one row in any table, it is counting them only once (It is fine that USERID's appear more than once in a table based on how it was structured).
I would like to get Distinct values based on the combination of USERID and EXAM_DT, as this combination will satisfy the uniqueness I need.
SQL:
SELECT 'TOTAL', '', COUNT (DISTINCT G.USERID) + COUNT (DISTINCT H.USERID) +
COUNT (DISTINCT J.USERID) + COUNT (DISTINCT M.USERID) + COUNT (DISTINCT
P.USERID) + COUNT(DISTINCT S.USERID) + COUNT (DISTINCT V.USERID) + COUNT (
DISTINCT Y.USERID)
FROM PS_JOB F INNER JOIN PS_EMPLMT_SRCH_QRY F1 ON (F.USERID =
F1.USERID AND F.EMPL_RCD = F1.EMPL_RCD )
LEFT OUTER JOIN PS_GHS_HS_ANN_EXAM G ON F.USERID = G.USERID AND G.EMPL_RCD
= F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_ANTINEO H ON F.USERID = H.USERID AND H.EMPL_RCD
= F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_AUDIO J ON F.USERID = J.USERID AND J.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_DOT M ON F.USERID = M.USERID AND M.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_HAZMAT P ON F.USERID = P.USERID AND P.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_PREPLACE S ON F.USERID = S.USERID AND S.EMPL_RCD
= F.EMPL_RCD
LEFT OUTER JOIN PS_GH_RESP_FIT V ON F.USERID = V.USERID AND V.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_ASBESTOS Y ON F.USERID = Y.USERID AND Y.USERID =
F.USERID
WHERE ( ( F.EFFDT =
(SELECT MAX(F_ED.EFFDT) FROM PS_JOB F_ED
WHERE F.USERID = F_ED.USERID
AND F.EMPL_RCD = F_ED.EMPL_RCD
AND F_ED.EFFDT <= SUBSTRING(CONVERT(CHAR,GETDATE(),121), 1, 10))
AND F.EFFSEQ =
(SELECT MAX(F_ES.EFFSEQ) FROM PS_JOB F_ES
WHERE F.USERID = F_ES.USERID
AND F.EMPL_RCD = F_ES.EMPL_RCD
AND F.EFFDT = F_ES.EFFDT) ))
My results:
(No column name) (No column name) (No column name)
TOTAL 30
Here is an example from one of the tables in the query that contains the USERID 816455 twice, but only counting (in above query) one distinct occurrence of it (when I need the distinct to be based on the combination of USERID and EXAM_DT)
USERID USER_RCD EXAM_DT EXAM_TYPE_CD EXPIRE_DT
001 0 2018-04-17 ANN 2019-04-17
03 0 2018-04-03 ANN 2019-04-27
816455 0 2018-03-02 ANN 2018-03-31
816455 0 2018-03-26 ANN 2018-06-30
410908 0 2018-03-05 ANN 2019-05-30
I would like to avoid having to use subqueries to do the aggregation on the joins if possible as I need to add the sql to a tool that doesn't support that use. Any help is appreciated!
EDIT:
As LukStorms suggested I tried "Method 1" from his answer as follows:
SELECT count (distinct concat(G.USERID, G.EXAM_DT))
+ count (distinct concat(H.USERID, H.EXAM_DT)) + count (distinct
concat(J.USERID, J.EXAM_DT)) + count (distinct concat(M.USERID, M.EXAM_DT))
+ count (distinct concat(P.USERID, P.EXAM_DT)) + count (distinct
concat(S.USERID, S.EXAM_DT)) + count (distinct concat(V.USERID, V.EXAM_DT))
+ count (distinct concat(Y.USERID, Y.EXAM_DT)) AS 'Total_Unique'
FROM PS_JOB F
LEFT OUTER JOIN PS_GHS_HS_ANN_EXAM H ON F.USERID = H.USERID AND
H.EMPL_RCD = F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_ANTINEO G ON F.USERID = G.USERID AND G.EMPL_RCD
= F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_AUDIO J ON F.USERID = J.USERID AND J.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_DOT M ON F.USERID = M.USERID AND M.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_HAZMAT P ON F.USERID = P.USERID AND P.EMPL_RCD
= F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_PREPLACE S ON F.USERID = S.USERID AND S
.EMPL_RCD = F.EMPL_RCD
LEFT OUTER JOIN PS_GH_RESP_FIT V ON F.USERID = V.USERID AND V.EMPL_RCD =
F.EMPL_RCD
LEFT OUTER JOIN PS_GHS_HS_ASBESTOS Y ON F.USERID = Y.USERID
WHERE ( ( F.EFFDT =
(SELECT MAX(F_ED.EFFDT) FROM PS_JOB F_ED
WHERE F.USERID = F_ED.USERID
AND F.EMPL_RCD = F_ED.EMPL_RCD
AND F_ED.EFFDT <= SUBSTRING(CONVERT(CHAR,GETDATE(),121), 1, 10))
AND F.EFFSEQ =
(SELECT MAX(F_ES.EFFSEQ) FROM PS_JOB F_ES
WHERE F.USERID = F_ES.USERID
AND F.EMPL_RCD = F_ES.EMPL_RCD
AND F.EFFDT = F_ES.EFFDT) ))
From the above query I am getting a total count of 42, not 30. I looked at the data without the COUNT aggregation and it appears to retrieving a blank row in the tables, along with the concatenated data.
So you want to count distinct based on a combination of USERID and EXAM_DT?
But a count(distinct ...) only allows one field.
So then combine the 2 fields.
You can use concat for that.
Or the alternative. Group em on the date, then sum the totals.
Simplified example snippet:
declare #T table (id int identity(1,1) primary key, userid int, exam_dt datetime);
insert into #T (userid, exam_dt) values
(100, GETDATE()),(200, GETDATE()),(100, GETDATE()-1),(200, GETDATE()+0.001),(NULL,NULL);
select * from #T;
-- Method 1.1
select count(distinct concat(userid,'_',cast(exam_dt as date))) as total_unique from #T where userid is not null;
-- Method 1.2 : Adjustment because of the left joins. When there's no match then the values of the joined table would appear as NULL
select count(distinct nullif(concat(userid,'_',cast(exam_dt as date)),'_')) as total_unique from #T;
-- Method 2
select sum(total) as total_unique
from(
select count(distinct t.userid) as total
from #T t
group by cast(t.exam_dt as date)
) q;
Returns 3.
Because userid 100 has 2 records with different dates, therefore counts as 2.
While userid 200 has 2 records with the same date, therefore counts as 1.
Simplified example snippet with joins:
declare #T table (id int identity(1,1) primary key, userid int, empl_rcd int default 0, exam_dt date);
declare #F1 table (id int identity(1,1) primary key, userid int, empl_rcd int default 0, exam_dt date);
declare #F2 table (id int identity(1,1) primary key, userid int, empl_rcd int default 0, exam_dt date);
insert into #T (userid, exam_dt) values (100, GETDATE()),(200, GETDATE()),(100, GETDATE()-1),(200, GETDATE()),(300, GETDATE());
insert into #F1 (userid, exam_dt) values (100, GETDATE()),(200, GETDATE()),(200, GETDATE()+1);
insert into #F2 (userid, exam_dt) values (100, GETDATE()),(300, GETDATE()+1),(300, GETDATE()+2);
select (total0 + total1 + total2) as total, q.*
from (
select
count(distinct nullif(concat(t0.userid,'_',t0.exam_dt),'_')) as total0,
count(distinct nullif(concat(f1.userid,'_',f1.exam_dt),'_')) as total1,
count(distinct nullif(concat(f2.userid,'_',f2.exam_dt),'_')) as total2
from #T t0
left join #F1 f1 on (f1.userid = t0.userid and f1.empl_rcd = t0.empl_rcd)
left join #F2 f2 on (f2.userid = t0.userid and f2.empl_rcd = t0.empl_rcd)
) q;
I have the following SQL query and need to know the count of companyid as I can see repeating data. How do I find the count of it. Following is the query
SELECT a.companyId 'companyId'
, i.orgDebtType 'orgDebtType'
, d.ratingTypeName 'ratingTypeName'
, c.currentRatingSymbol 'currentRatingSymbol'
, c.ratingStatusIndicator 'ratingStatusIndicator'
, g.qualifierValue 'qualifierValue'
, c.ratingdate 'ratingDate'
, h.value 'outlook'
FROM ciqRatingEntity a
JOIN ciqcompany com
on com.companyId = a.companyId
JOIN ciqratingobjectdetail b ON a.entitySymbolValue = b.objectSymbolValue
JOIN ciqRatingData c ON b.ratingObjectKey = c.ratingObjectKey
JOIN ciqRatingType d ON b.ratingTypeId = d.ratingTypeId
JOIN ciqRatingOrgDebtType i ON i.orgDebtTypeId=b.orgDebtTypeId
JOIN ciqRatingEntityData red ON red.entitySymbolValue=a.entitySymbolValue
AND red.ratingDataItemId='1' ---CoName
LEFT JOIN ciqRatingDataToQualifier f ON f.ratingDataId = c.ratingDataId
LEFT JOIN ciqRatingQualifiervalueType g ON g.qualifiervalueid = f.qualifierValueId
LEFT JOIN ciqRatingValueType h ON h.ratingValueId = c.outlookValueId
WHERE 1=1
AND b.ratingTypeId IN ( '130', '131', '126', '254' )
-- and a.companyId = #companyId
AND a.companyId IN
(SELECT distinct TOP 2000000
c.companyId
FROM ciqCompany c
inner join ciqCompanyStatusType cst on cst.companystatustypeid = c.companystatustypeid
inner join ciqCompanyType ct on ct.companyTypeId = c.companyTypeId
inner join refReportingTemplateType rep on rep.templateTypeId = c.reportingtemplateTypeId
inner join refCountryGeo rcg on c.countryId = rcg.countryId
inner join refState rs on rs.stateId = c.stateId
inner join ciqSimpleIndustry sc on sc.simpleIndustryId = c.simpleIndustryId
ORDER BY companyid desc)
ORDER BY companyId DESC, c.ratingdate, b.ratingTypeId, c.ratingStatusIndicator
This will list where there are duplicate companyID's
SELECT companyId, count(*) as Recs
FROM ciqCompany
GROUP BY ciqCompany
HAVING count(*) > 1
I understand that you wish to add a column to the query with the count of each companyId, you can use COUNT() OVER():
select count(a.companyId) over (partition by a.companyId) as companyCount,
<rest of the columns>
from ciqRatingEntity a
join <rest of the query>
This would return in each row the count of the companyId of that row without grouping the results.
Using a group by to group a select stament
SELECT
k.Ivalue, k.JOBDESCRIPTION ,
count( k.Ivalue) as TOTAL
FROM
(SELECT
a."ID" as Ivalue, b."JOBDESCRIPTION", rq."CURRENTSTATUS"
FROM
tblG2o_Requests a
INNER JOIN
tblG2o_JOBS b ON a."JOBPOSTID" = b."ID"
INNER JOIN
(SELECT
r.REQUESTID, ir."CURRENTSTATUS"
FROM
TBLG2O_RESULTSPOOL r
INNER JOIN
tblG2o_Requests ir ON r.RequestID = ir."ID"
WHERE
r.ShortListed = '1') rq ON rq.REQUESTID = a."ID"
WHERE
"ACTIVE" = '1'
AND "DATECOMPLETED" IS NULL
ORDER BY
"REQUESTDATE" DESC) k
GROUP BY
k.JOBDESCRIPTION
What is the question? You seem to be missing the group by clause, and you do not need double quotes around field names unless you have spaces in them, and even then, if TSQL for example, you would use [] in preference.
I had to remove an ORDER BY in the subquery, that isn't allowed unless other conditions demand it (like TOP n in TSQL)
SELECT
k.Ivalue
, k.JOBDESCRIPTION
, COUNT(k.Ivalue) AS TOTAL
FROM (
SELECT
a.ID AS Ivalue
, b.JOBDESCRIPTION
, rq.CURRENTSTATUS
FROM tblG2o_Requests a
INNER JOIN tblG2o_JOBS b
ON a.JOBPOSTID = b.ID
INNER JOIN (
SELECT
r.REQUESTID
, ir.CURRENTSTATUS
FROM TBLG2O_RESULTSPOOL r
INNER JOIN tblG2o_Requests ir
ON r.RequestID = ir.ID
WHERE r.ShortListed = '1'
) rqenter
ON rq.REQUESTID = a.ID
WHERE ACTIVE = '1'
AND DATECOMPLETED IS NULL
) k
GROUP BY
k.Ivalue
, k.JOBDESCRIPTION
Finally worked
SELECT
k.Ivalue
, l.JOBDESCRIPTION
, k.TOTAL,
k.CURRENTSTATUS
FROM (
SELECT
a.ID AS Ivalue
,b.ID as JobPostID
, rq."CURRENTSTATUS"
,COUNT(a.ID) AS TOTAL
FROM tblG2o_Requests a
INNER JOIN tblG2o_JOBS b
ON a."JOBPOSTID" = b.ID
INNER JOIN (
SELECT
r."REQUESTID"
, ir."CURRENTSTATUS"
FROM TBLG2O_RESULTSPOOL r
INNER JOIN tblG2o_Requests ir
ON r."REQUESTID" = ir.ID
WHERE r."SHORTLISTED" = 1
) rq
ON rq."REQUESTID" = a.ID
WHERE ACTIVE = '1'
AND DATECOMPLETED IS NULL
GROUP BY
a.ID ,b.ID
, rq."CURRENTSTATUS" ) k
inner join tblG2o_JOBS l on k.JobPostID =l.ID
enter code here