I am trying to change the datatype of a field in a MS Access table. I want to change it from Long Integer to Single but Access keeps giving the error message:
Operation is not supported for this type of object MS Access.
Access will only accept Long Integer. All the other Number types namely: Single, Integer, Double, Byte, Decimal, Replication ID are producing this error message.
Could this be a setting that has been implemented on the database? I should mention that the table I am using is a SQL Server (not sure what this means but my data team changed it to SQL Server for efficiency reasons I presume) but before it was an ordinary table and changing datatypes did not produce any error messages.
I have tried changing the datatype in design view and it is not working. I have also tried to change it in datasheet view -> fields tab -> properties group but the fields tab is grey so Access won't allow me to click on anything.
This is probably an easy fix but I just don't know how to fix it.
Related
I am trying to migrate the entire backend of an Access application onto SQL Server. The first part of my project involves moving all of the tables whilst making minimum changes after the migration (no SQL Views, Pass-through queries etc. yet).
I have two queries in particular that I am using here:
ProductionSystemUnAllocatedPurchases - Which executes and returns a resultset successfully.
This is the full formula (sorry its extremely complex) for QtyAvailableOnPurchase:
QtyAvailableOnPurchase: I believe this field could be the problem here?
IIf((IIf([Outstanding Qty]>([P-ORDER-T with Qty Balance]![QTY]-[SumOfQty]),
([P-ORDER-T with Qty Balance]![QTY]-[SumOfQty]),[Outstanding Qty]))>0,
(IIf([Outstanding Qty]>([P-ORDER-T with Qty Balance]![QTY]-[SumOfQty]),([P-
ORDER-T with Qty Balance]![QTY]-[SumOfQty]),[Outstanding Qty])),0)
ProductionSystemUnAllocatedPurchasesTotal - Which gives an 'Invalid Operation' error message
Now the strange thing for me is that the first query works perfectly fine, but the second which uses the first as a source table, gives me this error message when executing. This query works perfectly fine with an access backend, but fails with SQL Server tables.
Any Ideas?
Can QtyAvailableOnPurchase be NULL? That would explain why Sum fails. Use Nz(QtyAvailableOnPurchase,0) instead.
My approach is to decompose queries. Create two queries :
First query selects needed data
Second query applies group operations (e.g. Sum)
You'll get easy way to check every step.
I have managed to find a solution to this error.
It seems that the problem is not so much with the query but rather the data type on SQL Server. SQL Server Migration Assistant (SSMA) automatically maps any Number (Double) fields to float on SQL Server. This mapping needed manually changing to Decimal.
Now according to this SO post, Decimal is the preferred for its precision up to 38 points (which is more than enough for my application), While float allows more than this, the data is stored in approximates.
Source: Difference between numeric, float and decimal in SQL Server
I have an SSIS project that I'm using to automate pulling CRM data into a SQL Server Database using Kingswaysoft. These SSIS packages are autogenerated, so my solution to this issue needs to be compatible with that.
The description field on Contact in CRM is a nvarchar(2000), but this CRM org still has old data, and some of those old contact records have a description longer than 2000 characters. When I try to pull those using Kingsway, I get this error:
Error: 0xC002F304 at Stage Data for contact, Export contact Data [2]: An error occurred with the following error message: "The input value for 'description' field (or one of its related fields) does not fit into the output buffer, please consider increasing the output column's Length property or changing its data type to one that can accommodate more data such as ntext (DT_NTEXT). This change can be done using the component's Advanced Editor window.".
This makes sense, since I'm pulling a column longer than specified in the metadata, but the problem is that I want to ignore this error, truncate the column, and continue the data load. Obviously I could set the column to DT_NTEXT and not worry about it, but since these packages are autogenerated I have no way of knowing beforehand which columns have old data and which don't, so I won't know which should be DT_NTEXT.
So is there a way to make Kingswaysoft truncate input data which is longer than what's specified in the metadata?
Thank you for choosing KingswaySoft as your integration solution. For this situation, unfortunately there is no way to make that work without making those changes in the component’s Advanced Editor.
If the source component just simply ignores the error and truncates the value, you will lose some of your data and thus affect the data integrity during the integration. Therefore, you may need to change the data type to DT_NTEXT or increase the length of this field in order to handle this situation properly. Alternatively, you can try to change the field length on your CRM side so that the SSIS package can be generated correctly.
I am trying to import data from database access file into SQL server. To do that, I have created SSIS package through SQL Server Import/Export wizard. All tables have passed validation when I execute package through execute package utility with "validate without execution" option checked. However, during the execution I received the following chunk of errors (using a picture, since blockquote uses a lot of space):
Upon the investigation, I found exactly the table and the column, which was causing the problem. However, this is problem I have been trying to solve for a couple days now, and I'm running dry on possible options.
Structure of the troubled table column
As noted from the error list, the trouble occurs in RHF Repairs table on the Date Returned column. In Access, the column in question is Date/Time type. Inside the actual table, all inputs are in a form of 'mmddyy', which when clicked upon, turn into 'mm/dd/yyyy' format:
In SSIS package, it created OLEDB Source/Destination relationship like following:
Inside this relationship, in both output columns and external columns data type is DT_DATE (I still think it is a key cause of my problems). What bugs me the most is that the adjacent to Date Returned column is exactly the same as what I described above, and none of the errors applied to it or any other columns of the same type, Date Returned is literally the only black sheep in the flock.
What have I tried
I have tried every option from the following thread, the error remains the same.
I tried Data conversion option, trying to convert this column into datestamp or even unicode string. It didn't work.
I tried to specify data type with the advanced source editor to both datestamp/unicode string. I tried specifying it only in output columns, tried in both external and output columns, same result.
Plowing through the data in access table also did not give me anything. All of them use the same 6-char formatting through it all.
At this point, I literally exhausted all options I could think of. Can you please point me in the right direction on what else I could possibly try to resolve it, since it drives me nuts for last two days.
PS: On my end, I will plow through each row individually, while not trying to get discouraged by the fact that there are 4000+ row entries...
UPDATE:
I resolved this matter by plowing through data. There were 3 faulty entries among 4000+ rows... Since the issue was resolved in a manner unlikely to help others, please close that question.
It sounds to me like you have one or more bad dates in the column. With 4,000 rows, I actually would visually scan and look for something very short or very long.
You could change your source to selecting top 1 instead of all 4,000. Do those insert? If so, that would lend weight to the bad date scenario. If 1 row does not flow through, it is another issue.
(I will just share my experience, how I overcame this problem, in case it helps someone)
My scenario:
One of the column Identifier in the ole db data source has changed from int to bigint. I was getting the error message - Conversion failed because the data value overflowed the specified type.
Basically, it was telling me the source data size was greater than the destination data size.
What I have tried:
In the ole db data source and destination both places, I clicked "show advanced editior", checkd the data type Identifier was bigint. But still, I was getting the error message
The solution worked for me:
In the ole db data source--> show advanced edition option--> Input and Output Properties--> OLE DB Source Output--> there are two options - External columns & Output columns.
In my case, though the Identifier column in the External columns was showing the data type bigint, but in the Output columns was showing the data type int. So, I changed the data type to bigint and it has solved my problem.
Now and then I get this problem, specially when I have a big table with lots of data.
I hope it helps.
We had this error when someone had entered the year as 216 instead of 2016. The data source was reading the data ok but it was failing on the OLEDB destination task.
We use a script task in the data flow for validation. By adding a check that dates aren't too far in the past we are able to trap this kind of error and at least generate a meaningful error message to find and correct the problem quickly.
Lately I have migrated my Access 2000 backend data and tables to a 2012 SQL server. In the access frontend I have linked the SQL tables that were migrated. Most of it is working fine except for (now) one form.
In this form the data is being loaded from the SQL server using this query:
SELECT * FROM qryAbonementens WHERE EindDatum is null or EindDatum>=now()
It also used a filter and sort:
((Lookup_cmbOrderNummer.Omschrijving="GJK"))
And the sort:
Lookup_cmbOrderNummer.Omschrijving
These things may be irrelevant but Ill just post as much as possible.
The data loads in the form perfectly, however when I try to change a record in the form, I keep getting the:
error invalid character value for cast specification (#0)
While checking out posts with the same problem I encountered this post:
MS Access error "ODBC--call failed. Invalid character value for cast specification (#0)"
This made me believe that I was missing a PK somewhere so First I checked the linked table in Access design mode:
Tekst = text, Numeriek = numeric, Datum/tijd = date (sorry for it being dutch).
The same table in SQL looked like this:
They both have PK so I guess this is not the problem.
Though, when looking at both datatypes you can see 2 differences on the InkoopPrijs and VerkoopPrijs fields. In SQL these two are decimals(30,2) and in the design view in the linked access table they are, I guess unknown, and so they are being cast to text values. Perhaps this is the cause of my error message?
The record I am trying to change and which gives the error is this one (but it is on all the records):
I've read somewhere that adding a timestamp field to the SQL server could help but I have no clue it also works in my case or how to do this.
As you have guessed, the decimal(30, 2) columns are the problem.
They are too large for Access to be used as numbers.
I can reproduce the problem with Access 2010, although I can enter numeric data into the field. But when I enter text, I get the exact same error message.
decimal(18,2) works fine (it's the default decimal precision for Sql Server 2008).
Surely you don't have prices in the 10^30 range? :-)
You might also consider using the money datatype instead, although I don't know how well Access 2000 works with that.
Alright I got it fixed. #Andre451 post about changing the 30,2 decimal values in the SQL server to 18,2 gave me the the record is changed by another user error. This caused me to look differently at the problem and instead of fixing the
error invalid character value for cast specification (#0)
error I looked at the
record was changed by another user error
I came across this post: Linked Access DB "record has been changed by another user"
Here someone suggested to add a TimeStamp field to the SQL table. So I did and now it seems to work again! And it also seems to work with the original (decimal 30,2) value!
I am trying do a query on a table via jdbc in my java program.
I know there are three rows in that table.
I've got the resultset, and can read and process data of the first row. but when I try to move the resultset to next row, an exception is thorwn.
the exception pointed [SQL0181]
You can use the SQL Message Finder to look up message codes.
The SQL0181 message text is:
Value in date, time, or timestamp string not valid.
This indicates you have a value in a row that can not be represented as an SQL Datetime value.
It is not uncommon for legacy HLL programs to introduce these sorts of errors as they are capable of writing directly to the table row without the same validation enforced by the SQL interface.
See also this previously asked SO question: Why am I getting a “[SQL0802] Data conversion of data mapping error” exception?
I know this is an old question, but it's a top search result for SQL0181, and the answers is wrong.
The problem is the date being retrieved can't be represented in the date format being used. The IBM i allows several non-ISO date formats, which can't handle things like the beginning & ending of time. The error stems from trying to use one of them.
You can either have your user profile changed or use ISO on your JDBC settings.
"jdbc:as400://RCHASSLH;date format=iso;time format=iso;"
ref:
http://www-01.ibm.com/support/docview.wss?uid=nas8N1017268