I have a BIDS package. The final "Data Flow Task" exports a SQL table to Flat File. I receive a truncation error on this process. What would cause a truncation error while exporting to flat file? The error was occurring within the "OLE DB" element under the Data Flow tab for the "Data Flow Task".
I have set the column to ignore truncation errors and the export works fine.
I understand truncation errors. I understand why they would happen when you are importing data into a table. I do not understand why this would happen when outputting to a flat file.
This might be occurring for many reasons. Please make sure some of the steps listed below:
1) Check the source Data types that has to match with destination data type. If there are different it might through Truncation Error.
2) Check if there are blocks :- You can check this by creating Data viewer before the Destination and see the data come through.
Related
I've tried finding a solution for my issue but alas the problem continues. I've got an Excel Data Destination which I am trying to map in to SSIS [Please note I am saying the issue with the way SSIS identifies the Data Type of the Excel input. The scenario is OLE DB Source > Data Conversion > Excel Destination, please don't tell me to do a Data Conversion or use the Input and Output Properties method because it doesn't work, it just converts back to what SSIS "thinks" it's meant to be the instant I click out of the operations window]. I'm trying to create a new Excel Document through SSIS by mapping out the template to my data source from OLE DB Source.
Now when I do it with example data in the Excel Destination, it works fine because SSIS registers that the value in the workbook is a NTEXT [which is what I want]. However, the instant I apply the expression to use a blank template [with just headers no example data] it converts the Data Type in my Template to NVARCHAR(255) which is wrong and my package fails when I execute it, due to incompatible Data Type.
I've tried converting the Data Type within the Excel workbook to a TEXT format but it doesn't matter because when you pull it in to the Data Flow SSIS overwrites it and identifies that Column as a NVARCHAR(255). Even when I give up and comply and change the Input Data to NVARCHAR(255) because I'm just so annoyed, it still doesn't work because it fails my package and gives me an error message that it truncates my column field [-_-"]. I can't win.
I'll probably try and use a SQL Command to force it to identify the column as a NTEXT in the Excel Destination Editor or just rewrite some form of Forced SSIS to identify the Column as NTEXT but is there another way I am not aware of? I feel this is quite a known issue and there should be a plausible solution. Any assistance will be appreciated. Thank you.
I am trying to import a CSV into MSSQL 2008 by using the flat file import method but I am getting an Overflow error. Any ideas on how to go around it?
I used the tool before for files containing up to 10K-15K records but this file has 75K records in it....
These are the error messages
Messages
Error 0xc020209c: Data Flow Task 1: The column data for column "ClientBrandID" overflowed the disk I/O buffer.
(SQL Server Import and Export Wizard)
Error 0xc0202091: Data Flow Task 1: An error occurred while skipping data rows.
(SQL Server Import and Export Wizard)
Error 0xc0047038: Data Flow Task 1: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on component "Source - Shows_csv" (1) returned error code 0xC0202091. 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)
This could be a format problem of the csv file e.g. the delimiter. Check if the delimiters are consistent within the file.
It could also be a problem of blank lines. I had a similar problem a while ago. I've solved it by removing all blank lines in the csv file. Worth a try anyway.
You may have one or more bad data elements. Try loading a small subset of your data to determine if it's a small number of bad records or a large one. This will also tell you if your loading scheme is working and your datatypes match.
Sometimes you can quickly spot data issues if you open the csv file in excel.
Another possible reason for this error is that input file has wrong encoding. So, when you manually check data, it seems fine. For example, in my case correct files were in 8-bit ANSI, and wrong files in UTF-16 - you can tell the difference by looking at files size, wrong files were twice bigger than correct files.
I'm trying to insert a large CSV file (several gigs) into SQL Server, but once I go through the Import Wizard and finally try to import the file I get the following error report:
Executing (Error)
Messages
Error 0xc02020a1: Data Flow Task 1: Data conversion failed. The data
conversion for column ""Title"" returned status value 4 and status
text "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 "Source -
Train_csv.Outputs[Flat File Source Output].Columns["Title"]" failed
because truncation occurred, and the truncation row disposition on
"Source - Train_csv.Outputs[Flat File Source Output].Columns["Title"]"
specifies failure on truncation. A truncation error occurred on the
specified object of the specified component.
(SQL Server Import and Export Wizard)
Error 0xc0202092: Data Flow Task 1: An error occurred while processing
file "C:\Train.csv" on data row 2.
(SQL Server Import and Export Wizard)
Error 0xc0047038: Data Flow Task 1: SSIS Error Code
DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on Source - Train_csv
returned error code 0xC0202092. 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 created the table to insert the file into first, and I set each column to hold varchar(MAX), so I don't understand how I can still have this truncation issue. What am I doing wrong?
In SQL Server Import and Export Wizard you can adjust the source data types in the Advanced tab (these become the data types of the output if creating a new table, but otherwise are just used for handling the source data).
The data types are annoyingly different than those in MS SQL, instead of VARCHAR(255) it's DT_STR and the output column width can be set to 255. For VARCHAR(MAX) it's DT_TEXT.
So, on the Data Source selection, in the Advanced tab, change the data type of any offending columns from DT_STR to DT_TEXT (You can select multiple columns and change them all at once).
This answer may not apply universally, but it fixed the occurrence of this error I was encountering when importing a small text file. The flat file provider was importing based on fixed 50-character text columns in the source, which was incorrect. No amount of remapping the destination columns affected the issue.
To solve the issue, in the "Choose a Data Source" for the flat-file provider, after selecting the file, a "Suggest Types.." button appears beneath the input column list. After hitting this button, even if no changes were made to the enusing dialog, the Flat File provider then re-queried the source .csv file and then correctly determined the lengths of the fields in the source file.
Once this was done, the import proceeded with no further issues.
I think its a bug, please apply the workaround and then try again: http://support.microsoft.com/kb/281517.
Also, go into Advanced tab, and confirm if Target columns length is Varchar(max).
The Advanced Editor did not resolve my issue, instead I was forced to edit dtsx-file through notepad (or your favorite text/xml editor) and manually replace values in attributes to
length="0" dataType="nText" (I'm using unicode)
Always make a backup of the dtsx-file before you edit in text/xml mode.
Running SQL Server 2008 R2
Goto Advanced tab----> data type of column---> Here change data type from DT_STR to DT_TEXT and column width 255. Now you can check it will work perfectly.
Issue:
The Jet OLE DB provider reads a registry key to determine how many rows are to be read to guess the type of the source column.
By default, the value for this key is 8. Hence, the provider scans the first 8 rows of the source data to determine the data types for the columns. If any field looks like text and the length of data is more than 255 characters, the column is typed as a memo field. So, if there is no data with a length greater than 255 characters in the first 8 rows of the source, Jet cannot accurately determine the nature of the data type.
As the first 8 row length of data in the exported sheet is less than 255 its considering the source length as VARCHAR(255) and unable to read data from the column having more length.
Fix:
The solution is just to sort the comment column in descending order.
In 2012 onwards we can update the values in Advance tab in the Import wizard.
Data conversion failed. The data conversion for column "TIME PERIOD" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
Error: 0xC0209029 at Data Flow Task, Flat File Source [565]: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "output column "TIME PERIOD" (590)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "TIME PERIOD" (590)" specifies failure on error. An error occurred on the specified object of the specified component. There may be error messages posted before this with more information about the failure.
I suggest importing flat files to staging tables (all text fields, no casting) then migrating them to your final table. Importing them without casting will sidestep errors like this, as long as your text fields are sufficiently long as to avoid truncation.
When you migrate the data in SSIS from staging to final table you can direct rows that error to an appropriate error output that you can use to isolate the problematic rows and decide how to handle them. Then you can fix and migrate those rows separately.
To my knowledge there's not an easy way to handle capturing problematic rows when casting on flat-file import in SSIS
You could change your SSIS to not fail the package on error, but then you'd have to dig for the problematic rows in the csv.
I am using the SQL Server Import and Export Wizard to try to import a particular xlsx spreadsheet into an existing table in SQL. The existing table contains a sub-set of the columns in the spreadsheet and I am ignoring the many columns that don't match.
The spreadsheet has 123 columns and 238 lines of data.
Initially when I was importing the spreadsheet the wizard was hanging on 'Executing' and I had to kill the process. Something I have never come across before.
After copy and pasting the data into a new spreadsheet it is now coming up with the following error:
Error 0xc020901c: Data Flow Task 1: There was an error with output column "Confidentiality Clause Comments" (108) 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 "Confidentiality Clause Comments" (108)" failed because truncation occurred, and the truncation row disposition on "output column "Confidentiality Clause Comments" (108)" specifies failure on truncation. A truncation error occurred on the specified object of the specified component.
(SQL Server Import and Export Wizard)
What I am confused about it, the column "Confidentiality Clause Comments" is one of the columns being ignored - it is not being imported into the database!
I have tried setting "HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Microsoft\Jet 4.0\Engines\Excel\TypeGuessRows" to both 0 and higher numbers like 238 and 1000 to increase the sample size. (Although the table does already exist with fields large enough for the data being imported). I also have the "On Truncation (global)" and "On Error (global)" set to Ignore (but this setting seems to be 'ignored').
I have also tried importing the data into a new table, and get the same truncation error message (but on different fields dependant on the data sort).
I thought about importing as a CSV file but there are embedded comma's in many of the fields and it completely messed the data up.
Any ideas on how to get data imported? I have spent over 3 hours on this already, and have got nowhere.
Thanks,Steve
Instead of CSV, you could save as Text (Tab delimited) (*.txt) - that way you won't encounter the comma problem.
Also, if you only need to do this once, and because the dataset is not exactly huge, I'd consider just copying from excel and pasting directly into sql server management studio.