I have a recurring issue with importing Excel spreadsheets into SQL Server. As a work around, I am trying to convert the worksheet to a text file, comma delimited. I can convert the excel file to text but cannot seem to then import the text file into SQL. When I try to create a path between the text file and the OLE DB destination. I do notice that the flat file is showing as a destination ("Flat File Destination"). Is there a way to get this to go from the destination text file to SQL after doing the transformation to text?
If you are trying to do this in one dataflow, turning your 1st destination into a source, you can't do it like that.
If you have a dataflow that moves the data from an Excel Source to a Flat File Destination, you then need to create a second dataflow that uses the Flat File as a SOURCE, and moves the data to an OLEDB Destination.
Just place the second dataflow after the first one on the Control Flow.
Related
I want to remove a few columns from my flat file as I want to load in SQL server Data Warehouse using SSIS, How I can achieve this transformation using SSIS, see attachment for description. For e.g. I don't want %Salary and Address in my transformation.
You can follow the below steps:
Create Data Flow Task
Define Flat File Source and create new connection manager and point to source file.
Create empty flat file with the headers you want. Define Flat File Destination and point to Flat file empty destination, by following the subsequent steps.
Right click Flat file destination, click Edit. It will be throwing a popup as given below. Click Yes.
Define new connection manager pointing to destination file.
Now, point to your empty destination file. If you go to columns tab, only specific columns will be present.
Now, connect the Flat file source to Flat file destination. Now, only specific columns will be mapped as given below:
6.Now, you run the package, only specific columns will be loaded.
UPDATE: Sorry. I misunderstood destination as Flat File Destination. If you are having SQL Server Data Warehouse as the destination, you need to follow below steps.
you can create Table in destination with specific columns.
Connect Flat file source to OLEDB Destination, as given below:
Mapping should be done only for specific columns. You dont need specific transformations in the middle.
Even if the provided approach will work fine, why you should load all useless columns into your data pipeline to ignore them at the end. You can simply uncheck them from the Flat File Source editor.
After creating a dynamic Excel connection manager with Visual Studio 2015 SSIS and iterating through multiple Excel files in a directory I have run into the problem of not being able to change the number of columns in the connection manager. The Excel files do not have the same number of columns (or heading names/locations). I'm passing the data from the connection manager straight into a script component in order to handle this.
I tried creating an Excel connection manager with more columns they I will ever use before switching it to a Package Connection and setting the Expressions ExcelFilePath to my For/Each loop variable but this doesn't seem to work. I've received the VS_NEEDSNEWMETADATA error after this and, after rebuilding, received a
"Column "F18" cannot be found at the datasource"
error when an Excel sheet with fewer than 18 columns was passed through the for/each loop.
Any suggestions or assistance would be appreciated. Thank you.
If the columns count are different between Excel files, you cannot use the same Excel source to import them. You will always get the×VS_NEEDSNEWMETADATA exception that you mentioned.
If you are handling Excel files with same structure but with different columns order you can refer to my detailed answer on the link below:
Importing excel files having variable headers
If you have the choice to convert Excel files to Flat files, there are many links that describe the full process on how to import files with different structure.
If you don't have this choice, you must think on automating packages creation which is more complex (using BIML or DTS wrappers)
Update 1
Some links about converting Excel to csv:
Script task for converting Excel to CSV
Convert XLS to CSV on command line
Auto convert Xls to CSV
Convert xlsx file to csv using batch
Batch convert xls-Files to csv
SSIS process for saving .xlsx file as .csv file
SSIS using Script task - Convert XLS to CSV
I am using VS2015,I have input as a flat file which doesn't have headers.I need to add the multiple columns that is all most more than 200 columns as flat file header.Basically how we can do is we will open FLAT FILE CONNECTION MANAGER and will go to ADVANCED tab and will add the columns one by one.But adding more than 200 columns will take more time.
My question is how to add all the columns headers in to ADVANCED at once so that it can reduce a lot of time for me? Is there any solution for this or we need to add it one by one which will take long time?Is there any solution for this?
Create a flat file with no data
As a workaround, create a comma separated flat file and write the header manually then choose it in the flat file connection manager and after defining metadata select the original file and choose to keep the metadata. (Writing in flat file is more easier from writing in Flat File Connection Manager)
You can achieve this using BIML
With BIML it is easier to create files dynamically, you can refer to the following link for more details:
Using BIML to Generate an SSIS Import Package
Should I reuse the same Flat File Connection Manager or I should place individual Flat File Connection Manager for each files to be imported?
Description:
I have 30 CSV files with different structure and I need to import these files into the SQL Server database.
Currently I am using separate Flat File Connection Manager for each Flat File Source. Then pushing the data into the SQL Server database using OLEDB Destination.
Should I reuse the same Flat File Connection Manager?
Can you guide me - how to do this? Any links will be helpful.
Because the structure differs between your files you should use separate connections. This allows you to properly define the column names, sizes and data types for each file type.
Instead of creating 30 Flat File Connections just use one inside a Foreach Loop container passing in an Expression for the file name.
To solve the problem of your CSV files being in different formats, when you create the Flat File Connection select Ragged right instead of delimited, this will treat each row in file as one very wide column instead of multiple fields (make sure you make the column wide enough to handle your files).
You can then send the output of your Flat File Source into a Script Component, in to which you can put all the logic to handle your files. Use a Regex or a split to convert each row back into fields and then you have the full power of C# to process each row. A Script Component can also have multiple outputs so you can even use it like a Conditional Split.
This might seem like a bit more work (depends or what your files are like and how you are processing them), but then end result is less moving parts.
I think you can use MultiFaltFile as Source connection Manager. Using this you can select multiple files at a time.
See the link below:
http://www.sqlservergeeks.com/sql-server-import-multiple-files-in-ssis-using-multi-flat-file
I have a SSIS package created in VS2008 that dumps a SQL Server table into a flat file. I then try to copy that flat file into AWS Redshift and it bombs due to the flat file having a BOM in the first position. I changed the flat file manager's code page to 65001 (UTF-8) thinking this would solve the problem, but it didn't. How do I prevent a BOM from being added to the flat file?