Building a package to pull data from SQL Server view and load it into an excel file. Getting a generic error (Multiple-step OLE DB operation generated errors... No work was done. Apparently this is usually from data type mis-matches. I am looking over the mapping in the Data Conversion task, but I don't see anything wrong. When I tried creating this in the Data Export wizard in SQL Server, I was getting truncation errors.
I have heard that I can use the "Derived Columns' task to fix the conversion failures, but I need to identify which columns are having trouble. How do I pinpoint the exact problem columns?
EDIT - Using BIDS 2008, exporting to an excel destination. I first tried with the import/export wizard in SSMS but kept failing, so I am now trying to do it in SSIS/BIDS.
I am currently getting the 0x80040E37 when I try to open the mapping tab in the Destination task. Apparently the fixes are to set to 32 bit or fix the mappings. I am running in 32 bit and I can't fix the mappings because the tab wont open because of this error.
The problem was Excel 2007 has a 255 length limit on fields. Two choices are to either switch your destination file type to 97-2003, or add a derived column task to truncate (substring) the field, which looses data. There is probably another option having to do with error handling and dumping the row off to a flat file or something.
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I'm trying to import data into SQL Server using SQL Server Management Studio and I keep getting the "output column... failed because truncation occurred" error. This is because I'm letting the Studio autodetect the field length which it isn't very good at.
I know I can go back and extend the column length but I'm thinking there must be a better way to get it right first time without having to manaully work out how long each column is.
I know that this must be a common issue but my Google searches aren't coming up with anything as I'm more looking for a technique rather than a specific issue.
One approach you may take, assuming the import is not something which would take hours to complete, is to just set every text column to VARCHAR(MAX), and then complete the CSV import. Once you have the actual table in SQL Server, you can inspect each column using LEN to see how wide it is. Based on that, you can either alter columns, or you could just take notes, drop the table, and reimport using appropriate widths.
You should look into leveraging SSIS for this task. There is somewhat of a fixed cost in terms of spending time setting up the process for importing the csv file and creating a physical table in the database. Ultimately, though, you will be able to set the data types for each column/field in your file. Further, SSIS will enable you to transform or reformat the data to say the least.
I would suggest downloading Visual Studio and SQL Server Data Tools. The latter contains the necessary tools, including SSIS, SSRS, and SSAS, for which you would need to complete this task.
The main point is being able to automate this task, especially if it's an ongoing project of uploading csv files into the database.
First SSIS experience so I'm willing to accept I'm doing things completely wrong here:
Using SSIS:
I'm importing from an Excel sheet
exporting to a client's SQL (SQL Server) database
The data has >250 columns
The Client's database rows are all various nvarchar lengths like 3,5,8, etc
I can assume that the excel data will fit into the database properly, so if I truncate I won't lose any data
What I think I have to do here is truncate the data using a "Data Conversion" transform. The problem I have is it's going to take me hours to do this in the "Data Conversion" editor window because I'm dealing with so many columns, when it would only take me a few minutes in a text editor.
Is there any way to bulk update the Data Conversion settings? Am I doing this the wrong way?
The solution I ended up with was:
- change the package to not fail on truncation.
- Once I did this I could get rid of the transform.
- in the database I created a staging table with the excel column names to import to so that I didn't have to manually match everything up in SSIS
I am developing a SSIS package which is retrieving data from database and exporting it into a pre-formatted Excel file. This is not the first time I am doing this, but this time it won't work and I can't find out why..
As you can see in attached image, SSIS exports data successfully but writes it in the bad cells, I specified the value "operateur$B14:F19" in the OpenRowset property of Excel destination in SSIS though..
In addition, I am getting an error which is saying:
Cannot Expand Named Range
How can I fix this?
SSIS is not right tool set to solve this type of scenario. Use SSRS.
But any way you can try below steps.
Populate required data in table and use micro or data connection to populate excel...
I am developing a new system to pull down IT ticket reports from an external system, import them periodically to a SQL DB, run calculations on the values and export the results.
I am using SSIS to import the excel reports to the DB. But when I setup my Excel Source, it seems to be ignoring the last column of the worksheet. I can't figure out why. All the datatypes are correct, and the import is working for all the other columns.
Any help would be greatly appreciated!
If you could not find answer quickly, you could force the Excel connection manager to load data from which column to which column, try to locate open rowsetproperties in advanced properties window, for example, Sheet1$A1:Z will writes data to column A to column Z start from row #1 (regardless of the header)
I am new to SSIS. I am using SSIS 2012 to transfer data from Excel(COZYROC Excel Source Plus component) to SQL server database(OLE DB Destination). My requirement is whenever columns in the excel are not matched with mapped columns or any columns are missing, I should log the error message in the database.
Please help to resolve this problem.
I don't believe that is possible.
SSIS (and SSRS and other applications) require a 'contract' between source and destination such that any changes to the source will throw a mapping error and force the developer to re-map the data flow.
SSIS is not capable of a scenario such as 'if the source columns change, pump the rest and log the changes to another path'.
This is also an example of why Excel makes a terrible data source for a normalized database/ETL project, because users can easily change the Excel doc in such a way that would break data mapping.
Good luck.