I am trying to import data from a CSV file into a table.
I am presented by this error:
"Error 0xc02020a1: Data Flow Task 1: Data conversion failed. The data
conversion for column "dstSupport" returned status value 2 and status
text "The value could not be converted because of a potential loss of
data."."
However, I do not even need to convert this column, as you see in the image below:
The column is of type bit, and I used DST_BOOL.
This ended up being a parsing error. I had a string with commas within it, and these strings within the commas were being placed in my bit column. I fixed it by changing the delimiter from a comma to a pipe
Related
I'm attempting to upload a CSV file (which is an output from a BCP command) to BigQuery using the gcloud CLI BQ Load command. I have already uploaded a custom schema file. (was having major issues with Autodetect).
One resource suggested this could be a datatype mismatch. However, the table from the SQL DB lists the column as a decimal, so in my schema file I have listed it as FLOAT since decimal is not a supported data type.
I couldn't find any documentation for what the error means and what I can do to resolve it.
What does this error mean? It means, in this context, a value is REQUIRED for a given column index and one was not found. (By the way, columns are usually 0 indexed, meaning a fault at column index 8 is most likely referring to column number 9)
This can be caused by myriad of different issues, of which I experienced two.
Incorrectly categorizing NULL columns as NOT NULL. After exporting the schema, in JSON, from SSMS, I needed to clean it
up for BQ and in doing so I assigned IS_NULLABLE:NO to
MODE:NULLABLE and IS_NULLABLE:YES to MODE:REQUIRED. These
values should've been reversed. This caused the error because there
were NULL columns where BQ expected a REQUIRED value.
Using the wrong delimiter The file I was outputting was not only comma-delimited but also tab-delimited. I was only able to validate this by using the Get Data tool in Excel and importing the data that way, after which I saw the error for tabs inside the cells.
After outputting with a pipe ( | ) delimiter, I was finally able to successfully load the file into BigQuery without any errors.
SSIS Error: 0xC02020A1
Tying to import data to SQL 2008 from CSV file, I am getting below error.
> Error: 0xC02020A1 at Data Flow Task, Source – Distribution by xyz
> table from CSV [1]: Data conversion failed.
> The data conversion for column "ID" returned status value 4 and
> status text "Text was truncated or one or more characters had no match
> in the target code page.".
previous have used varchar and never a problem, I have tried to convert data to Int and even increased the size but still getting this error. I have also tried using the Advance editor and changed data to almost anything I could think would cover datatype on that column, still getting an error. Thanks for the advice
Most likely you have "bad" records in your raw file.
For "bad", if could be one of these two: 1) implicitly conversion cannot be done to the string value; 2) string is too large (exceed 8000).
For debugging this, change the destination column to VARCHAR(MAX).
Then load the raw file (do not forget to increase the external column length to 8000 in the Advanced page in flag file connection manager).
if:
1) it is loaded successfully, query the table where ISNUMERIC([that numeric column]) =0, if anything returned, that is the bad record that cannot be converted when loading.
2) it is not loaded correctly, try to see if you have any value from that field has more than 8000 characters. (could use C# script if it is impossible to manually check)
I'm converting a database from one structure into a new structure. The old database is FoxPro and the new one is SQL server. The problem is that some of the data is saved as char data in foxpro but are actually foreign key tables. This means they need to be int types in sql. Problem is When i try to do a data conversion in SSIS from any of the character related types to an integer, I get something along the following error message:
There was an error with the output column "columnName"(24) on output "OLE DB Source Output" (22). The column status returned was : "The value could not be converted because of potential loss of data".
How do i convert from a string or character to an int without getting the potential loss of data error. I hand checked the values and it looks like all of them are small enough to fit into an int data type.
Data source -> Data Conversion Task.
In Data Conversion Task, click Configure Error Output
For Error and Truncation, change it from Fail Component to Redirect Row.
Now you have two paths. Good data will flow out of the DCT with the proper types. The bad data will go down the Red path. Do something with it. Dump to a file, add a data view and inspect, etc.
Values like 34563927342 exceed the max size for integer. You should use Int64 / bigint
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.
I get an input CSV file that I have to upload to my oracle database.
Here is some sample data
ContractId, Date, HourEnding, ReconciledAmount
13860,"01-mar-2010",1,-.003
13860,"01-mar-2010",2,.923
13860,"01-mar-2010",3,2.542
I have to convert the incoming column to DB_TIMESTAMP (to match the structure in the destination table).
But when I use Data Conversion to convert, I get an error
Data conversion failed while converting column "Date" (126) to column "Date" (496). The conversion returned status value 2 and status text "The value could not be converted because of a potential loss of data.
What should I do to be able to properly convert this data?
What you could do in this situation is change the Text Qualifer in your Flat File connection to be a single double quote (").
This will cause SSIS to interperet
13860,"01-mar-2010",1,-.003
as
13860,01-mar-2010,1,-.003
This also has the added bonus of being able to catch any embedded commas in your data if they are also qualfied with quotes.
The problem is with the quotation marks ["] in the file.
You should remove them from the file or add a Derived Column before the Data Conversion component to remove the " with the expression
REPLACE([TextDateColumn],"\"","")