Express Cannot Convert Different Data Types Automaticly????

Mar 8, 2006

I have a SQL Server 2000 database which works like a charm in my asp app. Joining tables by id columns which are of different data types (eg. int in one table and varchar in the other) is no problem with the SQL Server engine, but Native Client refuses to do so and hands me back an error. Even if columns have a slightly different collation (like Slovenian_CI_AS and SQL_Server_1250_CI_AS) SQL Express native client returns an ERROR????!!! Is it possible that Native client cannot resolve this on its own? Must I change the colattion and datatype on all my tables???? Please help!!!!

Peca, developer from Serbia

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Built-in Data Types In SQL Express: Best Practices?

Jul 21, 2006

Greetings,



I think these should be rather simple questions, yet I spent a number of hours last night digging through the forums here and msdn and couldn't find any satisfactory answers. Basically, there tend to be types of information that are commonly saved in most databases, like names, addresses, phone numbers, email addresses, etc...and there are a variety of built in data types in SQL Server. What are the best built in datatypes for some of the common entries in a sql database. Also, there are a number of character based types and I am curious why one would be more useful in certain situations than another. Why is there char( ), nchar( ), varchar( ), nvarchar( ) and text datatypes? Why so many? Also, what is the "text" datatype and when is it most likely to be used? There is very little about the text type that I can find in the msdn or SQL Server docs...aside from the fact that it's text. On top of all this, there's numerous binary types as well. I'm really not getting the reason behind all these different basic types and why I would want to use one over the other in any specific instance.



TIA,

Mark



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Apr 6, 2006

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print screens here:

http://www.webfound.net/excel_ssis.jpg

http://www.webfound.net/excel_to_oledb_mappings.jpg

Package Validation Error

------------------------------
ADDITIONAL INFORMATION:

Error at Data Flow Task [OLE DB Destination [27]]: Columns "Commission Agency" and "CommissionAgency" cannot convert between unicode and non-unicode string data types.

Error at Data Flow Task [OLE DB Destination [27]]: Column "Product" cannot convert between unicode and non-unicode string data types.

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Error at Data Flow Task [OLE DB Destination [27]]: Columns "Agency Name" and "AgencyName" cannot convert between unicode and non-unicode string data types.

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Error at Data Flow Task [OLE DB Destination [27]]: Columns "Tran Code" and "TranCode" cannot convert between unicode and non-unicode string data types.

Error at Data Flow Task [OLE DB Destination [27]]: Columns "User Id" and "UserID" cannot convert between unicode and non-unicode string data types.

Error at Data Flow Task [OLE DB Destination [27]]: Columns "Acct Number" and "AccountNumber" cannot convert between unicode and non-unicode string data types.

Error at Data Flow Task [DTS.Pipeline]: "component "OLE DB Destination" (27)" failed validation and returned validation status "VS_ISBROKEN".

Error at Data Flow Task [DTS.Pipeline]: One or more component failed validation.

Error at Data Flow Task: There were errors during task validation.

 (Microsoft.DataTransformationServices.VsIntegration)

 

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Hi,

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Oct 20, 2007



Hi,

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=================================
#Sample
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=================================

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