Sorry you will have to bear with me as i am relativly new to SQL. I am querying an ODBC in EXCEL. At the moment my dataset is massive so i am looking to narrow it down by grouping it by company name and date. not all my columns are calculated fields.I have put the Sum on the two i need adding up. When i try to return the data i get the error of Non-group-by expression in select clause
Please can someone help me out.
SELECT
SopOrder_0.SooOrderNumber
, Company_0.CoaCompanyName
, InvoiceCreditItem_0.InvoiceCreditItemID
, InvoiceCreditItem_0.IciInvoiceApproved
, InvoiceCreditItem_0.InvoiceCreditID
, InvoiceCreditItem_0.CompanySiteID
, InvoiceCreditItem_0.VatID
, InvoiceCreditItem_0.NominalID
, InvoiceCreditItem_0.IciCreatedDate
, Sum(InvoiceCreditItem_0.IciTotalNettValue)
, Sum(InvoiceCreditItem_0.IciVatValue)
FROM
SBS.PUB.Company Company_0
, SBS.PUB.Customer Customer_0
, SBS.PUB.InvoiceCreditItem InvoiceCreditItem_0
, SBS.PUB.SopOrder SopOrder_0
WHERE
SopOrder_0.SopOrderID = InvoiceCreditItem_0.SopOrderID
AND InvoiceCreditItem_0.CompanyID = Customer_0.CompanyID
AND InvoiceCreditItem_0.CompanyID = Company_0.CompanyID
AND (Company_0.CoaCompanyName<>'ATOS')
AND InvoiceCreditItem_0.IciCreatedDate >= ?
GROUP BY
Company_0.CoaCompanyName, InvoiceCreditItem_0.IciCreatedDate
Related
Could someone please confirm what code language is it and how do I edit it to fit with Power BI function to import data from SQL Database please?
Got this from IT person but when I try to paste it into Power Query it gives error messages.
SELECT distinct Z.Territory , (z.AccountNumber ) as AccountNumber , (a.AccountType ) as AccountType , (z.CompanyName ) as CompanyName , (z.AccountNumber ) as AccountNumber , (z.CompanyName ) as CompanyName , z.SubscriptionReference ,z.SubscriptionID , (isnull(z.serialnumber,r.SerialNumber) ) as SerialNumber ,case when (rpc.billingperiodalignment) = 'AlignToCharge' then (z.product) else isnull(r.ProductDescription,z.product) end as Description , (r.ProductVersion ) as ProductVersion , (r.CoverExpiryDate ) as CoverExpiryDate , (z.SubscriptionStatus ) as SubscriptionStatus ,z.SubscriptionVersion
--, MAX(z.RenewalTerm) AS RenewalTerm , (z.[SubscriptionTermType]) as [SubscriptionTermType] , (case when z.[UnitofMeasure] = 'Desktop Users' then z.[Quantity] end) as 'Desktop Users' , (z.billingperiod ) as BillingPeriod ,(rpc.BillingPeriodAlignment) BillingPeriodAlignment ,(z.[ContractEffectiveDate]) as ContractEffectiveDate ,(z.TermEndDate) as TermEndDate
It's SQL, but it's invalid, so you'll need to get it fixed. It looks like it got cut off. When it's valid you should be able to paste it into a SQL Server Management Studio query window and test it.
To use it in Power Query use Value.NativeQuery, like this;
let
Source = Sql.Database("localhost", "adventureworks2017"),
Query = "
select *
from Sales.SalesOrderHeader
",
Data = Value.NativeQuery(Source, Query, null, [EnableFolding=true])
in
Data
I have below data in the Ms SQL server table.
I would like to get the output like below.
I have tried two sets of queries but it didn't helped me.
1st set query gives me the null values
Query
SELECT
[id]
, [sav]
, [cat]
, [tech]
, [asset]
, CASE
WHEN [objname] = 'FieldName'
THEN [stringvalue]
END AS [fieldname]
, CASE
WHEN [objname] = 'FieldValue'
THEN [stringvalue]
END AS [fieldvalue]
FROM [test].[dbo].[sample];
Output
2nd set query gives me 0 as field value, because i have hard coded it.
Query
SELECT
ROW_NUMBER() OVER(ORDER BY [fieldname]) AS 'id'
, [sav]
, [cat]
, [tech]
, [asset]
, [fieldname]
, 0 AS [fieldvalue]
FROM [test].[dbo].[sample] PIVOT(MAX([stringvalue]) FOR [objname] IN(
[fieldname])) [p]
WHERE [fieldname] IS NOT NULL;
Output
How to achieve it ?
You have a very arcane data structure. SQL tables are inherently unordered. From what I can tell, the SQL value is in the "next" row based on the id.
If so, you can use lead():
select . . .,
stringvalue as fieldname, next_string_value as stringvalue
from (select t.*, lead(t.stringvalue) over (order by id) as next_string_value
from t
) t
where t.objname = 'objname';
If you are really using SQL Server 2008, you can use a self-join. This does assume that the ids have no gaps in them.
I am having this issue with making consolidate for rows, I have made the query, but the result aren't correct.
It may consolidate the rows but for some result it will divide them into two different rows , what i need is to make them all in one row only if the id
is matching.
And here is the query :
Select
trxTransactionSaleItem.TransactionKey
, 'Sale' As TrxnType
, InvProduct.Id
, InvProduct.UPC
, trxTransactionSaleItem.Description
, invproduct.Description2
, invProduct.ProductGroupKey
, sum (Quantity/ISNULL(UOMBaseQuantity,1)) as Quantity
, Price
, SUM(DiscountAmount) AS DA
, SUM(SurchargeTotal) AS ST
, sum (Total) as Total
, ISNULL(UOM.Description,'') as UOM
From
trxTransactionSaleItem
INNER JOIN
InvProduct on trxTransactionSaleItem.ProductKey = InvProduct.ProductKey
LEFT JOIN
InvUOMGroupDetail UOMD on UOMGroupDetailKey = UOMD.UOMGroupDetailKey
LEFT JOIN
InvUOM UOM on UOMD.UOMKey = UOM.UOMKey
Where
Type = 0
And IsExchange = 0
And trxTransactionSaleItem.TransactionKey = 60000000022537
group by
trxTransactionSaleItem.TransactionKey
, InvProduct.Id
, InvProduct.UPC
, trxTransactionSaleItem.Description
, invproduct.Description2
, invProduct.ProductGroupKey
, Quantity
, Price
, DiscountAmount
, SurchargeTotal
, Total
, UOM.Description
So why its not coming in one row ?
Your group by should have only the fields that are not in aggregation functions. It should look like:
group by trxTransactionSaleItem.TransactionKey,
InvProduct.Id,
InvProduct.UPC,
trxTransactionSaleItem.Description,
invproduct.Description2,
invProduct.ProductGroupKey,
Price,
ISNULL(UOM.Description, '')
My query goes like this. If I just run the query without a distinct, it takes only 11 seconds. While it takes 46 seconds to run with distinct. Any advice on how this can be optimized?
SELECT * FROM (
SELECT DISTINCT ELIGIBLE_TO_SIGN_DT
, LAST_NAME
, FIRST_NAME
, EXTENDED_LAST_NAME
, DT_OF_BIRTH
, BIRTH_COUNTRY_ID
, REG_BY
, LAST_UPDATED_BY
, REVIEW_STATUS_1
, REVIEW_STATUS_2
, REVIEW_STATUS_3
, MLSB_MATCH_FILTER
, REG_STATUS_ID
, REG_STATUS
, HAS_TRAVELED
, PLAYER_ID_SHOW
, MLSB_MATCH
, TRAINER_AGENT_NAME
, NATIONAL_ID
, RES_FOLLOW_UP
, ATTACHMENT
, COMMENTS
, PLAYER_ID
, CHECKBOX
, INTL_AMA_ENTRY_ID
, ALSO_REG_BY
, MIDDLE_NAME
, BIRTH_COUNTRY_NAME
FROM AS_INTL_ADMIN_REG_VIEW
where VARCHAR_FORMAT(ELIGIBLE_TO_SIGN_DT, 'YYYY-MM-DD') >= date('07/02/2015') AND VARCHAR_FORMAT(ELIGIBLE_TO_SIGN_DT, 'YYYY-MM-DD') <= date('08/31/2015')
) order by case when UPPER(LAST_NAME) is null or trim(UPPER(LAST_NAME)) = '' then 'ZZZZZZ' else UPPER(LAST_NAME) end ASC, case when FIRST_NAME is null or trim(FIRST_NAME) = '' then 'ZZZZZZ' else FIRST_NAME end ASC
limit 200 offset 0
If the example as written is your actual code, then the difference is accounted for by the LIMIT you have on the query. When you run it without the DISTINCT, the query engine can just take the first 200 rows. But with the DISTINCT, it must first run on the entire table to find the distinct rows, then select the first 200.
DISTINCT is costly, ORDER BY ... UPPER()... can be costly
In the query given, it seems likely to me that DISTINCT is being used unnecessarily or to fix duplicates that shouldn't be there. If the data is bad, consider fixing it rather than working around it.
Make sure you have a case insensitive index built
create index myindex on mytable UPPER(LAST_NAME)
UPDATE :
-----
the error might be in sum(si.amt_pd) from item table (as there is no relation) :
select SUM(si.amt_pd)amt_pd from [HMIS_REPORTING].HMIS_RPT_ME.dbo.item i
where
is there a work around?
----------
I am trying to run this query. The query just fetches the amount of a month based on some tables. It is just a part of a big query.
select s.sales_Contract_Nbr
, s.Sales_Id
, s.Sale_Dt
, YEAR(s.Sale_Dt) 'YEAR'
, MONTH(s.Sale_Dt) 'MONTH'
, s.Sales_Need_TYpe_Cd
, s.Sales_Status_Cd
, si.Posted
, s.location_Cd
, jan2011 = (
select SUM(si.amt_pd)amt_pd
from [HMIS_REPORTING].HMIS_RPT_ME.dbo.item i
where i.Item_Id = si.Product_Item_ID
and i.Item_Cd <> '*INT'
and convert(varchar(10),SI.Sales_Item_Dt,126) >= '2011-01-01'
and convert(varchar(10),SI.Sales_Item_Dt,126) >= '2011-01-31'
) INTO dbo.#a_acomparision
FROM [HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales S
, [HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales_Item SI
WHERE SI.Sales_Id = S.Sales_Id
and s.Sales_Contract_Nbr in (
select distinct (Sales_Contract_Nbr)
from mountainviewContracts
where Sales_Contract_Nbr <> '')
but I am getting the following error message.
Msg 8120, Level 16, State 1, Line 1
Column 'HMIS_REPORTING.HMIS_RPT_ME.dbo.Sales.Sales_Contract_Nbr' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.
I just can't understand why my query should have a group by for sales_contract_nbr and even if I put in the group by clause it tells me that inner query si.Product_item_id and SI.sales_item_dt should also be contained in group by clause.
Please help me out.
Thanks in advance
This is a very subtle problem. However, I think the subquery should be:
select SUM(i.amt_pd)amt_pd from [HMIS_REPORTING].HMIS_RPT_ME.dbo.item i
That is, the alias should be i not si.
What is happening is that the sum in the subquery is on a value in the outer query. So, the SQL compiler assumes an aggregation query. As soon as the first column is found that is not an aggregation, it complains with the message that you have.
By the way, you should use proper join syntax, so you from clause looks like:
FROM [HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales S join
[HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales_Item SI
on SI.Sales_Id = S.Sales_Id
As #Gordon Linoff says, this is almost certainly because the query optimizer is treating this like a SUM operation, normalizing away the subquery for "jan2001".
If the amt_pd column is present in the ITEM table, Gordon's solution is the right one.
If not, you have to add the group by statement, as below.
select s.sales_Contract_Nbr
, s.Sales_Id
, s.Sale_Dt
, YEAR(s.Sale_Dt) 'YEAR'
, MONTH(s.Sale_Dt) 'MONTH'
, s.Sales_Need_TYpe_Cd
, s.Sales_Status_Cd
, si.Posted
, s.location_Cd
, jan2011 = (
select SUM(si.amt_pd)amt_pd
from [HMIS_REPORTING].HMIS_RPT_ME.dbo.item i
where i.Item_Id = si.Product_Item_ID
and i.Item_Cd <> '*INT'
and convert(varchar(10),SI.Sales_Item_Dt,126) >= '2011-01-01'
and convert(varchar(10),SI.Sales_Item_Dt,126) >= '2011-01-31'
) INTO dbo.#a_acomparision
FROM [HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales S
, [HMIS_REPORTING].HMIS_RPT_ME.dbo.Sales_Item SI
WHERE SI.Sales_Id = S.Sales_Id
and s.Sales_Contract_Nbr in (
select distinct (Sales_Contract_Nbr)
from mountainviewContracts
where Sales_Contract_Nbr <> '')
GROUP BY s.sales_Contract_Nbr
, s.Sales_Id
, s.Sale_Dt
, YEAR
, MONTH
, s.Sales_Need_TYpe_Cd
, s.Sales_Status_Cd
, si.Posted
, s.location_Cd