Failed to convert NVARCHAR to INT, but I'm not trying to - sql

I get this error:
Msg 245, Level 16, State 1, Line 5
Conversion failed when converting the nvarchar value 'L NOVAK ENTERPRISES, INC' to data type int.
I've been wrestling with this query for quite a while and just can't figure out in what place that the conversion is being attempted. Using SQL Server 2017.
DECLARE #StartDate AS DateTime
DECLARE #MfgGroupCode AS Varchar(20)
SET #StartDate='2/27/2020'
SET #MfgGroupCode = 'VOLVO_NLA'
SELECT DISTCINT
CT.No_ AS [Contact Number],
CT.Name AS [Contact Name],
UAL.Time AS [Search Date],
UAL.Param1 AS [Search Part],
CT.[E-Mail] AS [Contact Email],
CT.[Phone No_] AS [Contact Phone],
CT.[Company Name] AS [Search By Customer],
(SELECT C.Name
FROM dbo.[Customer] C
WHERE C.No_ = SL.[Sell-to Customer No_]
AND C.Name <> '') AS [Sold To Customer],
SL.[Posting Date] AS [Invoice Date],
SL.[Document No_] AS [Invoice],
SL.Quantity AS [Quantity],
SL.[Unit Price] AS [Unit Price],
SL.Amount AS [Amount],
DATEDIFF(DAY, UAL.Time, SL.[Posting Date]) AS [Interval]
FROM
dbo.[User Action Log] UAL
JOIN
dbo.[User Action Types] UAT ON UAL.[User Action ID] = UAT.ID
JOIN
dbo.[Item] I ON UAL.Param1 = I.[OEM Part Number]
JOIN
dbo.[Contact] CT ON UAL.[Contact No_] = CT.No_
LEFT OUTER JOIN
dbo.[Sales Invoice Line] SL ON UAL.Param1 = SL.[OEM Part Number]
AND SL.[Posting Date] >= #StartDate
WHERE
UAT.Name IN ('SinglePartSearch', 'MultiPartSearch')
AND UAL.[MFG Group Code] = #MfgGroupCode
AND UAL.Time >= #StartDate
AND UAL.Param3 > 0
-- AND DATEDIFF(DAY, UAL.Time, SL.[Posting Date]) < 0 -- Uncomment to see Current Searches with Past Orders
-- AND DATEDIFF(DAY, UAL.Time, SL.[Posting Date]) > -1 -- Uncomment to see Searches resulting in Future Order
AND DATEDIFF(DAY, UAL.Time, SL.[Posting Date]) IS NULL -- Uncomment to See Searches with no Order
ORDER BY
Interval DESC

Thanks to all of your help and questioning, I was able to identify that the culprit is UAL.Param3.
The User Action Log table stores a variety of different "Actions" and the parameters that are affiliated with each type of action (param1, param2, param3). For one action "RequestForAccess", the "L NOVAK" value is perfectly acceptable. For this query, we're looking at the "SinglePartSearch" and "MultiPartSearch" actions, which will only contain numeric values in UAL.Param3
I replaced this line (AND UAL.Param3 > 0) with (AND ISNUMERIC(UAL.Param3) = 1 AND UAL.Param3 <> 0) in the Where clause and it is now returning the results I hoped for.
Let me know if there is a more correct way of doing this and thank you to all who contributed!

Related

Meeting 2 conditions in 2 different columns

I'm trying to run a query where I need very specific conditions to be met:
Sales code is All
Item has Original Price flag set
Item has a price with no Original Price flag set that is the same as the Price with Original Price flag set
Price without Original price flag set must be created after the price with Original price flag
Currently I am using the following query to get the information I need;
select [item no_], [variant code],[unit price including vat],
[original price], [Starting Date], [Ending Date] from [Sales Price]
where [Sales Code] = 'all'
and [Ending Date] = '1753-01-01 00:00:00.000'
This is the example result:
1 means Original Price flag is set and 0 means it is not
The result I need from this query would be to only show these two:
I am assuming you are working with SQL Server as your current query syntax suggests.
If, so you can use lag() :
select sp.*
from (select sp.*,
lag([original price]) over (partition by [item no_] order by [Starting Date]) as prev_price
from [Sales Price] sp
where [Sales Code] = 'all'
) sp
where ([original price] = 1 or prev_price = 1);
let me know if you need me to explain; else its pretty straight forward.
select a.*
from (
select [item no_]
, [variant code]
,[unit price including vat]
, [original price]
, [Starting Date]
, [Ending Date]
,Column_Test = case when ( [original price] = 1 and [original price] = 0 ) and ([Starting Date]<[Ending Date]) then 1 else 0 end
from [Sales Price]
where [Sales Code] = 'all'
and [Ending Date] = '1753-01-01 00:00:00.000'
) a
where Column_Test = 1

Script help - count , total and avg

I have the following script, trying to count how many distinct customers are there , how many distinct orders , what is total of all orders under £15 and its's avg, total of orders above £20 and it's avg.
with consignments as
(select
[Sell-to Customer No_],
[Convert-to Document No_],
ic.[Shipping Agent Service Code],
[Pick Completed DateTime] as [Shipped DateTime],
ROUND((ic.[Amount Including VAT] + ic.Postage + ic.[Gift Wrap Price] +
ic.[Handling Fee] + ic.[Personalisation Fee]),2) as [Document Amount]
from dbo.[Temp$Consignment] ic inner join [dbo].
[Temp$Order] oh
on ic.[Owner Header GuID]=oh.[Order Guid]
where ic.[Shipping Agent Service Code]='secstan' and ic.[Pick Completed
DateTime] >= '2016-11-01T00:00:00.000' AND
ic.[Pick Completed DateTime] <= '2016-11-30T23:59:55.000' ),summary as
(select *,CASE WHEN [Document Amount] > 15 THEN 1 ELSE 0 END as 'Over15'
from consignments )select * from summary
I have working script like below, but as I am new to sql I am bit confused how to convert above script to below.
select amountclass,[Shipping Agent Service Code],
count(distinct [Sell-to Customer No_]) as Total_customers,
count(*) as Total_orders,
sum([Amount]) as total_revenue,
avg([Amount] * 1.0) as AOV
from
(
select [Sell-to Customer No_], oh.[Original Order No_], [Amount],ic.
[Shipping Agent Service Code],
case when [Amount] <= 20 then 'Under_20'
else 'Over_20'
end as amountclass
from [TBW_BI].[dbo].[Temp$Order] oh INNER JOIN [TBW_BI].[dbo].
[Temp$Consignment] IC
ON IC.[Owner Header GuID]=OH.[Order Guid]
where[order date] >= '2016-09-01' AND
[order date] <= '2016-09-30' AND [COUNTRY]='UNITED KINGDOM' and
[document type] like 'ord%' and ic.[Shipping Agent Service
Code]='secstan'
) dt
group by amountclass,[Shipping Agent Service Code]
order by amountclass,[Shipping Agent Service Code]
It looks like you have a query with a 2 Common Table Expressions (CTE) and you want to convert the CTE to a derived table. First, we can eliminate one of the CTEs.
summary as
(select *,CASE WHEN [Document Amount] > 15 THEN 1 ELSE 0 END as 'Over15'
from consignments )
select * from summary
The CTE for summary is unnecessary. We can convert that code to this:
select *,CASE WHEN [Document Amount] > 15 THEN 1 ELSE 0 END as 'Over15'
from consignments
Now, instead of using the consignments CTE; we can copy the sql code within it to create a derived table.
select *,CASE WHEN [Document Amount] > 15 THEN 1 ELSE 0 END as 'Over15'
from (
select [Sell-to Customer No_],
[Convert-to Document No_],
ic.[Shipping Agent Service Code],
[Pick Completed DateTime] as [Shipped DateTime],
ROUND((ic.[Amount Including VAT] + ic.Postage + ic.[Gift Wrap Price] +
ic.[Handling Fee] + ic.[Personalisation Fee]),2) as [Document Amount]
from dbo.[Temp$Consignment] ic
inner join [dbo].[Temp$Order] oh on ic.[Owner Header GuID]=oh.[Order Guid]
where ic.[Shipping Agent Service Code]='secstan'
and ic.[Pick Completed
DateTime] >= '2016-11-01T00:00:00.000'
AND
ic.[Pick Completed DateTime] <= '2016-11-30T23:59:55.000' ) as t

Subquery returned more than 1 rows inside case statement

I have been working on a query whereby in a subquery I am selecting the column Cust_Status under certain conditions.
select distinct
C.Cust_Code [Cust #],
C.Cust_Start_Date [Start Date],
C.Cust_End_date [End Date],
(select
Cust_Status = (case
when cast(CUST_UPDATE_DATE_LT as DATE) = cast('2017-01-23 00:00:00' as Date)
then 'V'
when cast(CUST_UPDATE_DATE_LT as DATE) = cast('2017-01-22 00:00:00' as Date)
then 'I'
end)
from tblCustomers) [Cust Status],
M.Machine_ID,
M.Machine_Location
from
tblCustomers C
inner join
tblMachine M on C.Cust_Mach_Pkey = M.Pkey
When I run this query I get an error
subquery returned more than 1 value error.
When I remove the subquery inside case, it's fine. But I am sure there is only 1 record present for both date conditions. So not sure how my subquery returning more than 1 values. Please enlighten me.
I am guessing that you just want to compare the latest date. If so, there are much simpler ways:
select C.Cust_Code as [Cust #], C.Cust_Start_Date as [Start Date],
C.Cust_End_date as [End Date],
(case when max(cast(CUST_UPDATE_DATE_LT as DATE)) = '2017-01-23'
then 'V'
when max(cast(CUST_UPDATE_DATE_LT as DATE)) = '2017-01-22'
then 'I'
end) as Cust_status
M.Machine_ID,
M.Machine_Location
from tblCustomers C inner join
tblMachine M
on C.Cust_Mach_Pkey = M.Pkey
group by C.Cust_Code, C.Cust_Start_Date, C.Cust_End_date,
M.Machine_ID, M.Machine_Location

DATEDIFF displaying null values

I have used DATEDIFF to distinguish between when the first unit rate was created and the posting date is when the first transaction of that item was posted.
I have the result that I need , however the DateDiff function gives me NULL values starting date for some rows.
SELECT DISTINCT b.[Entry No_] ,
a.[Starting Date],
b.[Posting Date],
b.[Item No_],
b.[Invoiced Quantity],
a.[Litre Conversion Factor],
a.[Unit Rate] ,
b.[Location Code],
a.[Excise Location],
a.[Excise Type Code],
a.[Unit Of Measure Code]
FROM [Spier Live$Value Entry] b
LEFT JOIN [Transfer Excise Tbl] a
ON a.[No_] = b.[Item No_]
AND b.[Location Code] = a.[Location Code]
AND DateDiff(y,b.[Posting Date],a.[Starting Date]) > -365 --DateDiff Year -365 for starting date
AND DateDiff(y,b.[Posting Date],a.[Starting Date]) < 0 --DateDiff Yer < 0 for posting date
WHERE b.[Posting Date] > '2013-02-26' --This is when the unit rate was entered
AND b.[Gen_ Bus_ Posting Group] IN ('LOCA','EXSA')
AND b.[Invoiced Quantity] <>0 --Removing all zero values
AND b.[Item No_] = 'F00335'
ORDER BY b.[Posting Date]
My Result
Transfer Excise Tbl This is the table I am joining on
As alex points out in the comments, you're looking for things with datediffs based on day of year, not year. Did you mean <= 0, btw? These criteria don't make sense and so probably aren't what you really want. If so, they'd cause joins to fail where you don't really want them to, leading to nulls showing for table a columns.

JOIN two tables but only return rows from Table 1 that match Table 2

Good day
I have two tables I need to Join , Transfer Excise Tbl and Value Entry.
Transfer Excise Tbl: No must match the Item no in the Value Entry table. I did do a comparison for Items not in Transfer Excise that is in Value entry and found a few.
Transfer Excise Tbl:
Starting Date No_ Excise Location Location Code Unit Rate Excise Type Code Unit Of Measure Code Litre Conversion Factor
----------------------- -------------------- --------------- ------------- --------------------------------------- ---------------- -------------------- ---------------------------------------
2013-02-28 00:00:00.000 600011263 NONBOND ~DUTY PAID 2.70000000000000000000 UWNEPACK LITRES 1.33333000000000000000
2014-02-27 00:00:00.000 600011263 NONBOND ~DUTY PAID 2.87000000000000000000 UWNEPACK LITRES 1.33333000000000000000
2015-02-26 00:00:00.000 600011263 NONBOND ~DUTY PAID 3.07000000000000000000 UWNEPACK LITRES 1.33333000000000000000
2016-02-25 00:00:00.000 600011263 NONBOND ~DUTY PAID 3.31000000000000000000 UWNEPACK LITRES 1.33333000000000000000
Value Entry Table:
Item No_ Location Code Gen_ Bus_ Posting Group Invoiced Quantity
-------------------- ------------- ----------------------- ---------------------------------------
F00330 VINI EXSA -10.00000000000000000000
F00331 VINI EXSA -30.00000000000000000000
F00332 VINI EXSA -40.00000000000000000000
I want to write the query to exclude duplicates as the script below still creates duplicates. The PK is Item No and the FK is Location Code. you will see on the Transfer excise table that for each year I new unit rate was supplied for a specific Item and Location
SELECT DISTINCT a.[Starting Date],
b.[Posting Date],
b.[Item No_],
b.[Invoiced Quantity],
a.[Litre Conversion Factor],
a.[Unit Rate] ,
a.[Location Code],
a.[Excise Location],
a.[Excise Type Code],
a.[Unit Of Measure Code]
FROM [Transfer Excise Tbl] a JOIN [Spier Live$Value Entry] b
ON a.[No_] = b.[Item No_]
WHERE b.[Posting Date] > '2013-02-26 '
AND b.[Location Code] = a.[Location Code]
AND b.[Gen_ Bus_ Posting Group] IN ('LOCA','EXSA')
AND b.[Posting Date] >= a.[Starting Date]
AND b.[Invoiced Quantity] <>0
First of all, there is something wrong with your [Value Entry] table.
1) In your query you refer to [Posting Date] column, but there is no such column in your example data.
Now, if I have well understood the scenario, I think your problem is related to how you join lines from the two tables.
I get more lines than you expect because you JOIN each line in [Value Entry] with ALL lines in [Transfer Excise Tbl] with a [Starting Date] older, not only the LAST (valid) line.
To solve the problem you should pre-calc the period of validity of your [Transfer Excise Tbl] line finding the [End Date] of each line, and then you will
JOIN b.[Posting Date] BETWEEN a.[Starting Date] AND a.[End Date]
final query will be something like:
;WITH
EndDates as (-- add [End Date] to [Transfer Excise Tbl]
select t1.*, ISNULL([End Date], CONVERT(date, '9999-12-31', 121)) [End Date]
from [Transfer Excise Tbl] t1
outer apply (
select MIN([Starting Date]) [End Date]
from [Transfer Excise Tbl]
where [Starting Date] > t1.[Starting Date]
) T2
)
SELECT DISTINCT a.[Starting Date],
b.[Posting Date],
b.[Item No_],
b.[Invoiced Quantity],
a.[Litre Conversion Factor],
a.[Unit Rate] ,
a.[Location Code],
a.[Excise Location],
a.[Excise Type Code],
a.[Unit Of Measure Code]
FROM [EndDates] a JOIN [Spier Live$Value Entry] b ON a.[No_] = b.[Item No_] AND b.[Posting Date] BETWEEN a.[Starting Date] AND a.[End Date]
WHERE b.[Posting Date] > '2013-02-26 '
AND b.[Location Code] = a.[Location Code]
AND b.[Gen_ Bus_ Posting Group] IN ('LOCA','EXSA')
AND b.[Invoiced Quantity] <> 0
It should return only the number of rows you expect
I hope this helps