I have been writing a query that allows me to select and count rows for specific product id's and shipment types.
Within this data, what I am now trying to achieve is count which rows have a specific field populated (second member name) and which have not. Then return this as a separate column in my query results.
Here's the query which I have written:
select count(job.JobID) as itemsCount, Lookup_Pack.PackDescription, Lookup_Pack.PackCode, Lookup_Pack.ID, job.shipping,
CASE
WHEN Job.secondMemForename <> '' THEN count(job.JobID)
ELSE 0
END AS [Extra card count]
from job
inner join Lookup_Pack on Lookup_Pack.ID = job.packTypeID
where Lookup_Pack.PackType = 'REN'
AND job.createDate >= '2015-06-01' and Job.createDate <= '2015-06-30'
GROUP BY Lookup_Pack.PackDescription, Lookup_Pack.PackCode, Lookup_Pack.ID, Job.shipping
If I run this query, I get an error returned as I am not grouping by Job.secondMemForename:
[FreeTDS][SQL Server]Column 'job.secondMemForename' is invalid in the
select list because it is not contained in either an aggregate
function or the GROUP BY clause.
although Job.secondMemForename does not form part of the query results.
I have subsequently added this field to the GROUP BY statement, the problem with this is that the data returned for all rows where the CASE applies is un-grouped as the Job.secondMemForename is different for all of them.
Any idea how I can resolve this?
Thanks.
Steeve.
Change Count() to Sum() and add it before CASE
SUM (CASE WHEN Job.secondMemForename <> '' THEN 1 END) AS [Extra card count]
Related
The SQL query returns the results i'm looking for however, i would like to exclude the results where balance (aliased field) equals zero, to reduce the set of results that appear.
I've using Where "balance" <> 0 and variations this, but keep getting error aggregation cannot be used in where clause. I tried nested selects as well, same error
SELECT "Item"."ItemCode"
,"ItmWhs"."WhsCode"
,"ItmWhs"."AvgPrice"
,"ItmWhs"."OnHand" AS "On Hand"
,"ItemGrp"."ItmsGrpNam"
,"Item"."ItmsGrpCod"
,"Item"."U_StyleCode"
,"Item"."U_StyleName"
,"Item"."U_ColourCode"
,"Item"."U_ColourName"
,"Item"."U_Size"
,"Item"."U_Gender"
,"Item"."U_LCC"
,SUM("Document"."InQty")
,SUM("Document"."OutQty")
,(SUM("Document"."InQty") - SUM("Document"."OutQty")) AS "Balance"
FROM "SBK_UA"."OINM" AS "Document"
,"SBK_UA"."OITW" AS "ItmWhs"
,"SBK_UA"."OITM" AS "Item"
INNER JOIN "SBK_UA"."OITB" AS "ItemGrp" ON "Item"."ItmsGrpCod" = "ItemGrp"."ItmsGrpCod"
WHERE "Document"."ItemCode" = "ItmWhs"."ItemCode"
AND "Document"."Warehouse" = "ItmWhs"."WhsCode"
AND "Item"."ItemCode" = "ItmWhs"."ItemCode"
AND "Document"."CreateDate" <= ?
GROUP BY "Item"."ItemCode"
,"ItmWhs"."WhsCode"
,"ItmWhs"."AvgPrice"
,"ItmWhs"."OnHand"
,"ItemGrp"."ItmsGrpNam"
,"Item"."ItmsGrpCod"
,"Item"."U_StyleCode"
,"Item"."U_StyleName"
,"Item"."U_Size"
,"Item"."U_ColourCode"
,"Item"."U_ColourName"
,"Item"."U_Gender"
,"Item"."U_LCC"
To return all the results except where the balance is zero.
You want a HAVING clause. After the GROUP BY add:
HAVING SUM("Document"."InQty") - SUM("Document"."OutQty") <> 0
I have a simple SQL query on IBM DB2. I'm trying to run something as below:
select case when a.custID = 42285 then 'Credit' when a.unitID <> '' then 'Sales' when a.unitID = '' then 'Refund'
else a.unitID end TYPE, sum(a.value) as Total from transactions a
group by a.custID, a.unitID
This query runs, however I have a problem with group by a.custID - I'd prefer not to have this, but the query won't run unless it's present. I'd want to run the group by function based on the result of the CASE function, not the condition pool behind it. So, I'm looking something like:
group by TYPE
However adding group by TYPE reports an error message "Column or global variable TYPE not found". Also removing a.custID from group section reports "Column custID or expression in SELECT list not valid"
Is this going to be possible at all or do I need to review my CASE function and avoid using the custID column since at the moment I'm getting a grouping also based on custID column, even though it's not present in SELECT.
I understand why the grouping works as it does, I'm just wondering if it's possible to get rid of the custID grouping, but still maintain it within CASE function.
If you want terseness of code, you could use a subquery here:
SELECT TYPE, SUM(value) AS Total
FROM
(
SELECT CASE WHEN a.custID = 42285 THEN 'Credit'
WHEN a.unitID <> '' THEN 'Sales'
WHEN a.unitID = '' THEN 'Refund'
ELSE a.unitID END TYPE,
value
FROM transactions a
) t
GROUP BY TYPE;
The alternative to this would be to just repeat the CASE expression in the GROUP BY clause, which is ugly, but should still work. Note that some databases (e.g. MySQL) have overloaded GROUP BY and do allow aliases to be used in at least some cases.
I need to get a state level count on number of services. For the purposes of this I only have two services. The first column is the states, the second column is the first services and the third column is the second service. What I am struggling with is to have the second and third column show up on the results in one query. Here is my code:
SELECT Distinct allstates.Name, count (data.StateName) as CareCase_Management_Services, count(data.StateName) Caregiver_Support_Services
From
(select distinct Name from USstate) allstates
Left Join
Client2017 data
on
allstates.Name = data.StateName and
data.FiscalYear = 2017 and
data.SrvstartCareCaseMgmtCode NOT IN('999','', '998') and
data.SrvstartCaregiverSuppCode NOT IN('999','', '998')
GROUP BY allstates.Name
ORDER BY allstates.Name ASC
I understand that you are looking to compute, for each state, the count of services that match certain criteria. There are two types of services, stored in two different columns.
If so, your query could be simplified using conditional aggregation :
SELECT
allstates.Name,
SUM(CASE WHEN c.SrvstartCareCaseMgmtCode NOT IN ('999', '', '998') THEN 1 ELSE 0 END) CareCase_Management_Services,
SUM(CASE WHEN c.SrvstartCaregiverSuppCode NOT IN ('999', '', '998') THEN 1 ELSE 0 END) Caregiver_Support_Services
FROM
(SELECT DISTINCT Name FROM USstate) s
LEFT JOIN Client2017 c ON s.Name = c.StateName AND c.FiscalYear = 2017
GROUP BY allstates.Name
With this technique, each service is counted according to its own logic ; when conditions are met, the record is counted in (1 is added to the SUM()), else it is ignored (+ 0).
NB : do you really have duplicated state names in USstate ? if no, you can replace subquery (SELECT DISTINCT Name FROM USstate) s with just USstate
I need to update a column based on the results of a subquery. If the subquery returns results for that column then the columns must be updated, is the query returns no results for that column then I need to update with 0.
I do not know where to place the subquery and how to combine it with the CASE statement. This is what I thought but the syntax is not correct. Can anybody help please?
(SELECT datazones.ogc_fid, count(*) as total
FROM suppliersnew suppliers, datazone_report_resupply datazones
WHERE St_contains(datazones.geom, suppliers.geometry) AND (suppliers.status = 'Under construction' OR
suppliers.status = 'Unknown' OR suppliers.status = 'Operational') GROUP by datazones.ogc_fid ORDER BY total ASC) sources
UPDATE datazone_report_resupply
SET es_actual =
CASE
WHEN datazone_report_resupply.ogc_fid = sources.ogc_fid THEN sources.total
ELSE 0
END
The query is a little hard to follow, because the aggregation is on the outer column (this is unusual). However, you don't need aggregation or order by. You only seem to care whether a row exists.
I think the logic is:
UPDATE datazone_report_resupply r
SET es_actual =
(CASE WHEN EXISTS (SELECT 1
FROM suppliersnew s
WHERE St_contains(r.geom, s.geometry) AND
s.status IN ('Under construction', 'Unknown', 'Operational')
)
THEN 1 ELSE 0
END);
Currently I am having an issue bringing back the correct data for this particular query below. I am attempting to bring back data that excludes select criteria from the subselect statement after MINUS keyword.
SELECT
DISTINCT ORDER.OWNER, ORDER_H.PO_ID
FROM ORDER ORDER
WHERE ORDER.TYPE != 'X'
AND ORDER.STATUS='10'
AND ORDER.CLOSE_DATE IS NULL MINUS
(
SELECT
DISTINCT ORDER.OWNER, ORDER.PO_ID
FROM ORDER ORDER
INNER JOIN COST COST ON COST.PO_ID = ORDER.PO_ID
AND COST.CODE IN
(
'LGSF',
'DFCDC',
'BOF',
'TFR',
'RFR',
'TFLHC',
'BF',
'CBF',
'CHAP',
'DYPH' ,
'OFFP',
'PTWT',
'DTEN',
'OTHR',
'DMSG',
'STOR',
'TOF',
'ANTCV',
'ANTIP',
'CVD',
'TRAN'
)
WHERE ORDER.TYPE != 'OTR'
AND ORDER.STATUS = '10'
AND (COST.E_AMT > 0 AND COST.A_AMT IS NULL)
)
FOR READ ONLY WITH UR
The data coming back includes the data within the subquery instead of excluding this data from the resultset. I cannot figure out why this is the case. Does anyone have any idea why after MINUS it doesn't exclude this data and is bringing back data where COST.E_AMT is actually greater than 0 and COST.A_AMT is actually populated for each CODE listed in the subquery? Any help would be appreciated, thanks.