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
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.
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.
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 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
i'm working on ssis package and i'm taking values from .xml file to ado .net destination
but when i enter values iinto table getting following error :
potential data loss may occur due to inserting data from input column "Copy of swaps_Id" with data type "DT_I8" to external column "swaps_id" with data type "DT_I4". If this is intended, an alternative way to do conversion is using a Data Conversion component before ADO NET destination component
I have used Data conversion transformation editor then also getting above error
what should be corrected?
This warning means that data in Copy of swaps_Id is 64bit integer and you trying to insert it into 32bit integer column in destination table. What should you do depends on your data.
If you are sure that data in your column is in 32bit signed integer range (-2^31 (-2,147,483,648) to 2^31-1 (2,147,483,647)) you can leave it as is (data truncation will never occur, bur warning will stay) or do data conversion or change Copy of swaps_Id column data type
If not, you should change column data type in your destination data table to 64bit integer (bigint in Sql Server)
This simply means that your source data type is Larger than what your destination can handle. On the Data Conversion Transformation, you may want to convert the column to DT_I8 datatype in order for that warning to disappear.