I'm using SSIS and trying to import data from Filelmaker into SQL Server. In the Solution Explorer, I right click on "SSIS Packages" and select SQL Server Import and Export Wizard". During the process, I use my DSN as the source, SQL Server as the destination, use a valid query to pull data from Filemaker, and set the mappings.
Each time I try to run the package, I receive the following message:
The "output column "LastNameFirst" (12)" has a length that is not valide. The length must be between 0 and 4000.
I do not understand this error exactly, but in the documentation for ODBC:
http://www.filemaker.com/downloads/pdf/fm9_odbc_jdbc_guide_en.pdf (page 47) it states:
"The maximum column length of text is 1 million characters, unless you specify a smaller Maximum number of characters for the text field in FileMaker. FileMaker returns empty strings as NULL."
I'm thinking that the data type is too large when trying to convert it to varchar. But even after using a query of SUBSTR(LastNameFirst, 1, 2000), I get the same error.
Any suggestions?
I had this problem, and don't know the cause but these are the steps I used to find the offending row:
-in filemaker, export the data to CSV
-open the CSV in excel
-double click on the LastNameFirst column to maximize its width
-scroll down until you see a column '#########' -the way excel indicates data that is too large to be displayed.
I'm sure theres a better way, and I'd love to hear it!
You should use this:
nvarchar (max)
Related
I have the following problem:
I have an SSIS package that starts with a query executed at an Oracle DB and I would like to export a Fixed Width flat file with ANSI 1253 Code Page. I get an error:
The data conversion for column [column_name] returned status value 4
and status text "Text was truncated or one or more characters had no
match in the target code page"
The problem has to do with the second part of the message, as the width is ok. I tried to use Data Conversion from Toolbox but it didn't work (probably I didn't use it on the right way). I have only select privileges to the database so I cannot add any sql procedures to remove special characters at the query. Also the idea to load data to a staging table wouldn't be the best choice at my case. Does anyone has any idea on how to convert my data without getting this error?
Thanks a lot in advance
Load data using your Source from Oracle DB and keep the data types they are giving you.
add a derived column and cast your column.
(DT_STR,[Insert Length],1252) [columnName]
if the column is ntext you need to do 2 steps to get to string.
(DT_STR...) (DT_WSTR) Ntextcolumn
I am using SSIS to move data between environments, and I am getting the following error quite often inside Lookup components, when mapping the input columns to the output columns:
I fixed the problem in most locations, and using nvarchar(MAX) as the type was the cause of the problem, but I am still getting it, even when the type of the input and output columns is nvarchar(100). Any idea why I am getting this error? I tried to use a data conversion on the source data before, but without any success!
EDIT
Below you can find screenshots from my lookup's configuration (named lookup update rows)
EDIT 2
When I open the .dtsx file related with the project in a text editor, I have several datatypes set as nText (like shown below), which I think is the cause of my problem.
dataType="nText"
cachedDataType="nText"
I change these lines to, respectively, the following lines:
dataType="wstr"
length="100"
cachedDataType="wstr"
cachedLength="100"
But when I build, my changes disappear, and the ntext types are once again set.
The solution to get rid of BLOB types is to change the datatypes (SSIS datatypes) for the components within the dataflow in the advanced editor.
For each component, right click on it, and choose "Show advanced
editor"
Click in the column "Input and output properties"
For all the input and output columns listed there, change the datatype when it is DT_NEXT to DT_WSTR, choosing an appropriate length as well
This didn't work for me as I was using an ODBC data source.
I had to CAST my blob table fields as varchar(max) using the SQL command text box in the ODBC Source Editor and then go to the advanced editor and edit all ODBC source Output columns that I had CAST as DataType string[DT_STR].
Hope this helps someone.
What solved my problem is that my source had string constraint of 50 chars while my destination was varchar(max). I changed to metadata in the destination column that was giving me the error from max to 50. Problem solved.
We are trying to push a single order in to MS CRM (dev instance) via SSIS package.
Most of the columns coming from source (staging table) are of data type 'DT_STR' and their mapped fields in CRM are of 'DT_WSTR' data type.
I already looked for the solution on this site but in all cases the question is for converting wstr to str. In my case I need to convert str to wstr. when I run the package I get error saying,
Column xxxx cannot convert between unicode and non unicode string data type
I have already tried two solution:
1. Right click on the OLE source and convert datatype to wstr and
2. Using 'Data Conversion'
In both cases the error remains the same. Has anyone else had similar issue?
In OLE DB Source properties don't change data types. If you want you can change in
SELECT statement in OLE DB source.
you can change in 'Data Conversion'
Derived Column element
In Derived Column element code is:
(DT_WSTR, 50)([YourString])
Don't replace column, add new column in Derived column element.
You doing something wrong if you can't convert, you don't give real error message (or picture of your design), real error message is in Output window when you execute the package.
I'm trying and playing around a CSV file to import data into the SQL Server table using SSIS.
The package is simple with File Source Task and SQL Server Destination.
The CSV file has 2 fields Transaction_Date and Account_Created. The dates in these fields are the format of 1/2/2009 6:00:00 AM. I am seeing the below error message:
"Error: An exception has occurred during data insertion, the message returned from the provider is: The given value of type String from the data source cannot be converted to type datetime of the specified target column."
Steps I tried below:
I tried using various other destination transformations.
I tried playing around the Data Types inside the Flatfile Connection Managers.
I tried using the Data Conversion Transformations between the Source Task and SQL Server Destination.
When I tried to load the data by providing connection only to Transaction_Date it works. However, when I tried to load by providing connection only to Account_Created it fails.
I am sure I'm missing something silly. Please help.
Regards,
KK
I tired a different method to build the package from start using the Wizard. I used the actual CSV file which had many other columns like Price, Product_name and so on. When I tried to execute the package I see a different error message as below:
"[Destination for AdventureWorks [58]] Error: There was an error with input column "Price" (91) on input "OLE DB Destination Input" (71). The column status returned was: "The value could not be converted because of a potential loss of data.".
"
When I tried a CSV file with only 2 date fields it worked excellent.
I am really puzzled now and thinking this is some kind of data type issues which I am not getting it correct. Can some one pls shred some light into this problem?
Regards,
KK
To load the first two fields (Transaction_Date, Account_Created), you need a DataFlow Task that contains:
Flatfile Source
Derived Column (create two columns to Replace 'Transaction_Date' and 'Account_Created' with formula below)
SQL Server Destination
Notes:
Date format like '1/2/2009 6:00:00 AM' is not parsed by SSIS, make sure the Flatfile Connection Manager treats the fields as Strings (length > 22)
In Derived Column, you can parse '01/02/2009' with this formula:
(DT_DBDATE)(SUBSTRING([Column 2],7,4) + "-" + SUBSTRING([Column 2],4,2) + "-" + SUBSTRING([Column 2],1,2))
The current date format that you have in the file '1/2/2009' makes the conversion very tricky due to the lack of advanced datetime parsing functions of SSIS. Depending on the day and month you will have to subtract from a variable length string, therefore you will have to combine SUBSTRING with FINDSTRING to determine the position of the separator '/'
Good luck
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I am importing Data from excel sheet. I am struggling with the following problems -
Executing (Error) Messages Error 0xc020901c: Data Flow Task 1: There was an error with output column "Intelligence" (21) on output "Excel
Source Output" (9). The column status returned was: "Text was
truncated or one or more characters had no match in the target code
page.". (SQL Server Import and Export Wizard)
Error 0xc020902a: Data Flow Task 1: The "output column "Intelligence" (21)" failed because truncation occurred, and the
truncation row disposition on "output column "Intelligence" (21)"
specifies failure on truncation. A truncation error occurred on the
specified object of the specified component. (SQL Server Import and
Export Wizard)
Error 0xc0047038: Data Flow Task 1: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on component "Source - MainSheetData$" (1) returned error code 0xC020902A. The component returned a failure code when the pipeline engine called PrimeOutput().
The meaning of the failure code is defined by the component, but the
error is fatal and the pipeline stopped executing. There may be error
messages posted before this with more information about the failure.
(SQL Server Import and Export Wizard)
I was banging my head against the wall with this same exact error.
Try importing into MS Access and then importing into SQL Server.
turns out it only checks first 8 rows or so of the Excel sheet..so if it decides length is 225 and later on encounters more than 225 chars an error occurs , what I did to solve the problem was make a first fake row containing the worst scenario (max of everything) and problem solved !
The first error is telling you that your source data for the Intelligence column is either longer than your target column or contains charachers that your target column cannot accept.
The second error is telling you that the Intelligence column is longer than your target column and therefore its failing. I expect this is the true issue.
You can either
expand the size of your target column to cover the larger input
or
switch the Error Output of the component to "Ignore failure" on Truncation
I was having the very same issue, and although I tried numerous suggestions from searching here, the option that worked for me was to convert the excel file to a CSV and use a bulk insert command instead.
This bypassed the need to edit mappings which wasn't working for me. I had a field that was not updating when I changed the field type.
Code below from this answer:
BULK INSERT TableName
FROM 'C:\SomeDirectory\my table.txt'
WITH
(
FIELDTERMINATOR = '\t',
ROWTERMINATOR = '\n'
)
GO
Importing using CSV is difficult as the import process doesn't know the max length for any field. Therefore when it hits a row longer than the initial column length it errors.
Simply save your csv file as a excel workbook and re import. You'll need to delete an existing tables that were created before failute last time.
As it's excel, it can obtain the correct field length when creating the table.
I was getting the same error while importing from Excel to SQL Server 2008. I was able to do it by exporting from xlsx to csv and then importing the csv file into Sql Server. Yes, I had to adjust the columns length by hand but it worked just fine!
I was having the same problem and had to manually go through Excel to find the problem. One time saver, if you click Report -> View Report at the bottom, it will open up a new window. If you scroll all the way to the bottom of the report, it will tell you how many rows were processed. It doesn't necessarily mean that the problem is in the next row, but at least you can skip going through all the rows before that.
What I did next in Excel was take only the amount of characters that would fit into SQL (i.e. LEFT([Column], 255) and truncate the rest.
It is not ideal, but it worked in my case.
Export
You need to change "On Error" option to Ignore and "On Truncation" option to Ignore in Review Data Type Mapping.
This will solve the problem.
I am not sure, if anyone has tried this or not:
Copy the content of the file from excel .xls or whatever excel format it is in currently and paste it into new excel file as value. Save the file in .xlsx format and try importing again with sql server.
It will be a success!!
It is enough to place the biggest length in the first row. Then it functions.