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
Related
It works well so far but I am stumped from here as I am brand new to this. This query finds the closest distance match, pairing up every item in the "FAILED" folder against everything that isn't in the "FAILED" folder.
There is a column "RouteID" in the "table p" that I want to match up with the min() aggregate.
I cannot process how to make the SELECT query simply show the associated "RouteID" column from tbl p but ultimately, I want to turn this into an update query that will SET a.Route = p.Route that is associated with the min()
Any help would be appreciated.
SELECT a.name, a.Reference1,
MIN(round(ACOS(COS(RADIANS(90-a.lat))
*COS(RADIANS(90-p.latpoint))
+SIN(RADIANS(90-a.lat))
*SIN(RADIANS(90-p.latpoint))
*COS(RADIANS(a.lon-p.longpoint)))
*3958.756,2)) AS 'DISTANCE'
FROM tblOrder AS a WITH (NOLOCK)
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrder b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS p ON 1=1
WHERE a.CustID = 180016
AND a.RouteID = 'FAILED'
AND a.StopType = 1
AND P.RouteID <> 'FAILED'
GROUP BY
a.name, a.Reference1
You can select them separately and then join them
SELECT c.name, c.Reference1, q.RouteID
FROM
(
SELECT a.name, a.Reference1,
MIN(round(ACOS(COS(RADIANS(90-a.lat))
*COS(RADIANS(90-p.latpoint))
+SIN(RADIANS(90-a.lat))
*SIN(RADIANS(90-p.latpoint))
*COS(RADIANS(a.lon-p.longpoint)))
*3958.756,2)) AS 'DISTANCE'
FROM tblOrder AS a WITH (NOLOCK)
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrder b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS p ON 1=1
WHERE a.CustID = 180016
AND a.RouteID = 'FAILED'
AND a.StopType = 1
AND P.RouteID <> 'FAILED'
GROUP BY
a.name, a.Reference1
) c
LEFT JOIN
(
SELECT b.lat AS latpoint, b.lon AS longpoint,
b.Sequence, b.routeid
from tblOrderRouteStops b WITH (NOLOCK)
WHERE b.CUSTID = 180016
AND b.routeID <> 'FAILED'
AND b.StopType = 1
) AS q
ON q.routeID = c.DISTANCE
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.
I am trying to do a left outer join on two tables (well, an inline view and a table).
What I want to happen is to list all the grads (I know there are 3815 DISTINCT Grads) with any of their enrolments (there could be 0 or n enrolments). What I'm getting is only a list of the grads that have enrolments (3649 DISTINCT students). I'm not sure where I'm going wrong with not getting all the rows from the grad 'view' (I don't have create view privs so this is my workaround).
This is my code:
SELECT C.*, D.FREEZE_EVENT, D.ACADEMIC_PERIOD, D.CAMPUS, D.COLLEGE, D.COLLEGE_DESC,D.MAJOR, D.MAJOR_DESC , D.STUDENT_RATE
FROM
(SELECT A.STUDENT_LEVEL_DESC, A.CAMPUS, A.CAMPUS_DESC, A.COLLEGE, A.COLLEGE_DESC, A.MAJOR_DESC, A.MAJOR, A.DEGREE_DESC, A.PERSON_UID, A.ID, A.NAME,
A.OUTCOME_GRADUATION_DATE, A.STATUS, A.GRAD_YEAR, A.TRAINING_LOCATION, B.CITIZENSHIP_TYPE
FROM ACAD_OUTOCME A, PERSON_DETAIL B
WHERE A.STUDENT_LEVEL IN ('02','03') AND A.GRAD_YEAR = '2015' AND A.FREEZE_EVENT = '10TH_SEP2016' AND B.FREEZE_EVENT = '10TH_SEP2016'
AND A.ID = B.ID) C
LEFT OUTER JOIN ACAD_STUDY D ON
C.CAMPUS = D.CAMPUS
AND C.COLLEGE = D.COLLEGE
AND C.MAJOR = D.MAJOR
AND C.PERSON_UID = D.PERSON_UID
WHERE D.FREEZE_EVENT = '10TH_SEP2016'
ORDER BY C.NAME
Any suggestions? I'm using Toad Data Point. I'm also the loan developer at work, so I don't have anyone I can ask to help out with this, and google has failed me.
Thanks!
Move your WHERE condition to the ON condition:
Select C.*
, D.FREEZE_EVENT
, D.ACADEMIC_PERIOD
, D.CAMPUS
, D.COLLEGE
, D.COLLEGE_DESC
, D.MAJOR
, D.MAJOR_DESC
, D.STUDENT_RATE
From (Select A.STUDENT_LEVEL_DESC
, A.CAMPUS
, A.CAMPUS_DESC
, A.COLLEGE
, A.COLLEGE_DESC
, A.MAJOR_DESC
, A.MAJOR
, A.DEGREE_DESC
, A.PERSON_UID
, A.ID
, A.NAME
, A.OUTCOME_GRADUATION_DATE
, A.STATUS
, A.GRAD_YEAR
, A.TRAINING_LOCATION
, B.CITIZENSHIP_TYPE
From ACAD_OUTOCME A
Join PERSON_DETAIL B On A.ID = B.ID
Where A.STUDENT_LEVEL In ('02', '03')
And A.GRAD_YEAR = '2015'
And A.FREEZE_EVENT = '10TH_SEP2016'
And B.FREEZE_EVENT = '10TH_SEP2016'
) C
Left Outer Join ACAD_STUDY D
On C.CAMPUS = D.CAMPUS
And C.COLLEGE = D.COLLEGE
And C.MAJOR = D.MAJOR
And C.PERSON_UID = D.PERSON_UID
And D.FREEZE_EVENT = '10TH_SEP2016'
Order By C.NAME;
The WHERE clause is evaluated after the OUTER JOIN, which would cause it to filter out the NULL records from the LEFT JOIN. So, having the right-hand table of a LEFT JOIN in the WHERE clause will effectively transform the OUTER JOIN into an INNER JOIN.
I have 2 queries.
Query # 1: inserts some data into a temp table
Query # 2: inserts the data from the temp table (with some joins) into a new table.
Running Query #1 alone takes 3 seconds. Running Query #2 alone takes 12 seconds.
When I run them both together as one execution, it runs forever (over 4 minutes).
What could possibly be the reason for this?
(I would post my code but it's very long and not much understandable to the outsider.)
Here's my SQL (at your own risk): Remember they run fine when ran alone.
-- START QUERY #1
SELECT * INTO #TempProdForSiteGoingTrim
FROM
(
SELECT
p.idProduct
, p.active
, p.sku
, p.description
, p.listprice
, p.price
, p.imageurl
, p.smallimageurl
, p.idManufacturer
, sortOrder
, CASE WHEN p.pgroup = '' OR p.pgroup IS NULL THEN CAST(p.idProduct AS VARCHAR) ELSE pgroup END [pgroup]
, CASE WHEN pa2.attr IS NULL THEN CAST(p.idProduct AS VARCHAR) ELSE CASE WHEN p.pgroup = '' OR p.pgroup IS NULL THEN CAST(p.idProduct AS VARCHAR) ELSE pgroup END END [RugGroup]
, pa1.attr [Color]
, pa3.attr [Collection]
, pa2.attr [RugSize]
, pa4.attr[RugShape]
FROM
(SELECT DISTINCT idProduct FROM ProdSite WHERE idSite = 39 ) s
INNER JOIN (SELECT * FROM products p WHERE active = -1 ) p ON s.idproduct = p.idproduct
LEFT OUTER JOIN (SELECT t.idproduct, attr FROM (SELECT max(idprodattr) [idprodattr], idproduct, b.idattrset FROM productattr a JOIN product_attr b on a.idattr = b.idattr WHERE idattrset = 1 GROUP BY a.idproduct, b.idattrset )t JOIN productattr a ON t.idprodattr = a.idprodattr JOIN product_attr b ON a.idattr = b.idattr) pa1 ON p.idproduct = pa1.idproduct
LEFT OUTER JOIN (SELECT t.idproduct, attr FROM (SELECT max(idprodattr)[idprodattr], idproduct, b.idattrset FROM productattr a JOIN product_attr b on a.idattr = b.idattr WHERE idattrset = 160 GROUP BY a.idproduct, b.idattrset )t JOIN productattr a ON t.idprodattr = a.idprodattr JOIN product_attr b ON a.idattr = b.idattr) pa2 ON p.idproduct = pa2.idproduct
LEFT OUTER JOIN (SELECT t.idproduct, attr FROM (SELECT max(idprodattr)[idprodattr], idproduct, b.idattrset FROM productattr a JOIN product_attr b on a.idattr = b.idattr WHERE idattrset = 6 GROUP BY a.idproduct, b.idattrset )t JOIN productattr a ON t.idprodattr = a.idprodattr JOIN product_attr b ON a.idattr = b.idattr) pa3 ON p.idproduct = pa3.idproduct
LEFT OUTER JOIN (SELECT t.idproduct, attr FROM (SELECT max(idprodattr)[idprodattr], idproduct, b.idattrset FROM productattr a JOIN product_attr b on a.idattr = b.idattr WHERE idattrset = 62 GROUP BY a.idproduct, b.idattrset )t JOIN productattr a ON t.idprodattr = a.idprodattr JOIN product_attr b ON a.idattr = b.idattr) pa4 ON p.idproduct = pa4.idproduct
)t
-- END QUERY #1
-- START QUERY #2
DECLARE #listRugSizes TABLE (idmanufacturer int, RugGroup VARCHAR(500), RugSizes VARCHAR(1000))
INSERT INTO #listRugSizes
SELECT
t1.idmanufacturer
, t1.RugGroup
, STUFF(( SELECT ', ' + RugSize FROM #TempProdForSiteGoingTrim t2 WHERE t2.RugGroup = t1.RugGroup and t2.idmanufacturer = t1.idmanufacturer FOR XML PATH(''), TYPE ).value('.', 'varchar(max)'), 1, 1, '') [Values]
FROM
#TempProdForSiteGoingTrim t1
GROUP BY
t1.RugGroup
, t1.idmanufacturer
INSERT INTO [NewTableForSiteGoingTrim]
SELECT
p.idProduct
, p.sku
, p.description
, p.listPrice
, p.price
, p.imageUrl
, p.smallImageUrl
, p.sortOrder
, p.idManufacturer
, p.pgroup
, p.ruggroup
, c.idCategory
, c.idCategory [fidcategory]
, c.idParentCategory
, c.idParentCategory [gidcategory]
, pc.idParentCategory [hidCategory]
, ppc.idParentCategory [iidCategory]
, m.Name
, rp.rewrite_key [rewrite_index]
, rm.rewrite_key [rewrite_key]
, color [Color]
, collection [Collection]
, rugsize [RugSize]
, ruggroup.rugcount
, ruggroup.maxprice
, ruggroup.minprice
, rs.RugSizes
, p.rugshape
FROM
#TempProdForSiteGoingTrim p
LEFT OUTER JOIN (
SELECT
MIN(c.idCategory) [idCategory]
, c.idProduct
FROM
(
SELECT
cp.idProduct
, cp.idCategory
FROM
dbo.categories_products cp
JOIN categories c ON cp.idcategory = c.idCategory
WHERE
c.idSite = 24
) c
GROUP BY
c.idProduct
) cp ON p.idProduct = cp.idProduct
LEFT OUTER JOIN categories c ON cp.idCategory = c.idCategory
LEFT OUTER JOIN categories pc ON c.idParentCategory = pc.idCategory
LEFT OUTER JOIN categories ppc ON pc.idParentCategory = ppc.idCategory
LEFT OUTER JOIN manufacturer m ON p.idManufacturer = m.idManufacturer
LEFT OUTER JOIN (SELECT * FROM rewrite WHERE type = 3) rm ON p.idManufacturer = rm.id
LEFT OUTER JOIN (SELECT * FROM rewrite WHERE type = 1) rp ON p.idProduct = rp.id
LEFT OUTER JOIN #listRugSizes rs ON p.RugGroup = rs.RugGroup and p.idmanufacturer = rs.idmanufacturer
LEFT OUTER JOIN
(
SELECT
p.ruggroup
, p.idmanufacturer
, min(price) [minPrice]
, count(*) [RugCount]
, m.maxprice
FROM
#TempProdForSiteGoingTrim p
LEFT OUTER JOIN
(
SELECT
r.ruggroup
, r.idmanufacturer
, max(price) [maxprice]
FROM
#TempProdForSiteGoingTrim r
WHERE
r.idproduct = (SELECT MAX(idproduct) FROM #TempProdForSiteGoingTrim WHERE ruggroup = r.ruggroup AND price = r.price and idmanufacturer = r.idmanufacturer)
GROUP BY
ruggroup
, idmanufacturer
) m ON p.ruggroup = m.ruggroup and p.idmanufacturer = m.idmanufacturer
GROUP BY
p.ruggroup
, m.maxprice
, p.idmanufacturer
) ruggroup ON p.ruggroup = ruggroup.ruggroup and p.idmanufacturer = ruggroup.idmanufacturer
-- END QUERY #2
Edit
When I change the last join "ruggroup" to only group and join by column "ruggroup" and not "ruggroup" and "idmanufacturer" then it works fine.
I Have a table which holds date but I need to know the latest date where a condition is true per location, only issue is once I add a column called 'notes' it breaks the query and returns too many rows, current query is ...
SELECT
Location,
MAX(date) AS date,
type,
notes
FROM NotesTable a
INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY Location, type, notes
If I comment out the notes column then it works fine but as soon as I add that to the grouping it then returns more rows than required.
Have tried using a subquery but still cant get it working, subquery below
SELECT
r.location,
r.date,
r.type,
t.notes
FROM (SELECT Location, MAX(date), type
FROM NotesTable a INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY location,type
) r
INNER JOIN NotesTable t ON t.date = r.date
Anyone got any other suggestions?
select * from
(
SELECT Location,Date, Type, Notes, Row_Number() Over (Partition By Location, Type order by date desc) RN
FROM
NotesTable a
INNER JOIN Location b on a.LocationID = b.LocationID
INNER JOIN Type c on a.typeid = c.typeid
WHERE typeid <> 8
) v
WHERE rn = 1
Your query is almost correct, you need to add this additional condition in ON clause
AND
t.location = r.location AND
t.type = r.type
full query,
SELECT r.location
, r.DATE
, r.type
, t.notes
FROM (
SELECT Location
, MAX(DATE) maxDate
, type
FROM NotesTable a
INNER JOIN Location b
ON a.LocationID = b.LocationID
INNER JOIN Type c
ON a.typeid = c.typeid
WHERE typeid <> 8
GROUP BY location
, type
) r
INNER JOIN NotesTable t
ON t.DATE = r.maxDate AND
t.location = r.location AND
t.type = r.type