I want to copy data from database A to database B.
I created a saved SSIS package successfully and data was indeed copied from A to B. Now I want to automate the process but when I'm launching the saved .dtsx file I get this error:
"Error: Executing the query
"CREATE TABLE ... failed with the following error:
"There is already an object named ... in the database"..."
Seems like SSIS is trying to create the table again. How do I set SSIS to copy the data only, without recreating the table?
Ta.
You can either directly edit the package in BIDS and take out the CREATE TABLE part, or you can use the wizard to make a new package that uses the existing table rather than creating a new one.
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Hi I have one doubt in ssis
I want load source excel file data into sql server database table.
Source excel file have billions of data(huge data).
whiel loading time halfoffrecords are loaded into destination table after that its failed due some data comes incorrect format .
in this sistuvation how will handle package for loading all data into destination using ssis.
source: excel(Emp information data)
destination : Table : emp
I tried using check point configuration for rerun at the point of failure..
but its not usefully to handled data row level and duplicate data is loading.
and I tried another way truncate data in the destination table.
after that I used redirect row for error handling.buts its not good implementation due to
trunating destination table.
please tell me how many way to achive this task(complete load) in ssis package level.
Load your data from Excel into a staging table, which you truncate before every load.
Make all of the columns of the staging table nvarchar(max) type, so they can handle any format of incoming character data.
Then run a stored procedure that de-dupes, formats and transfers the data to the final destination table.
I am new to SSIS space while developing incremental data load SSIS package I am trying to load data from ole db destination to database. however I can't find a way to create destination table dynamically?
This is my package I am using project level parameter to input Source conn string(pSourceConnectionString) destination conn string (pDestiConnectionString)
source table (pSourceTable) destination table (pDestiTable).
Similar problem
You could do it with a script component as your destination. The script would start with a command that creates the table if it doesn't exist, and then would insert the incoming rows to it.
There is no way to create an OLEDB Destination to a table that doesn't yet exist. However, you could also look into BiML which lets you dynamically create packages based on meta data.
I am kinda new to SSIS and apologize in advance if this is a repeat post, or simply a dumb question.
I am trying to create the following process in SSIS:
1- [SQL Execute Task] Create Table in SQL DB
2- [Data Flow Task] Load Data from a source file (.xls) into the Created SQL table
3- [SQL Execute Task] Run Code on Created SQL table
4- [SQL Execute Task] Drop the SQL table that was created
The problem I am running into is when I set my OLE DB Destination it wants a table that is already created. I tried to create the table and then run the process, it works the first time, but errors the 2nd time saying the table doesnt exist, even though it is skipping step 1 of creating the table.
Any ideas on a work around, or am I missing something very obvious here?
Thanks in advance!
So first, why drop the table every time? Your package is going to require consistent metadata for the table, so why not just truncate it and save it for the next load? This is a really kind of terrible approach to SSIS packages.
The reason it's failing is because SSIS does both design-time and runtime validation of all your components, so all it sees is the table's not there that it expects to be there.
But if your heart's set on this approach, you need to set the ValidateExternalMetadata property of your destination component to false. As long as the External Columns on the component match the actual columns being generated by your CREATE TABLE statement, you'll be good to go.
I have a ssis project with 3 ssis packages, one is a parent package which calls the other 2 packages based on some condition. In the parent package I have a foreach loop container which will read multiple .csv files from a location and based on the file name one of the two child packages will be executed and the data is uploaded into the tables present in MS SQL Server 2008. Since multiple files are read, if any of the file generates an error in the the child packages, I have to log the details of error (like the filename, error message, row number etc) in a custom database table, delete all the records that got uploaded in the table and read the next file and the package should not stop for the files which are valid and doesn't generate any error when they are read.
Say if a file has 100 rows and there is a problem at row number 50, then we need to log the error details in a table, delete rows 1 to 49 which got uploaded in the database table and the package to start executing the next file.
How can I achieve this in SSIS?
You will have to set TransactionOption=*Required* on your foreach loop container and TransactionOption=*Supported* on the control flow items within it. This will allow for your transactions to be rolled back if any complications happen in your child packages. More information on 'TransactionOption' property can be found # http://msdn.microsoft.com/en-us/library/ms137690.aspx
Custom logging can be performed within the child packages by redirecting the error output of your destination to your preferred error destination. However, this redirection logging only occurs on insertion errors. So if you wish to catch errors that occur anywhere in your child package, you will have to set up an 'OnError' event handler or utilize the built-in error logging for SSIS (SSIS -> Logging..)
I suggest you try the creation of two dataflows in your loop container. The main idea here is to have a set of three tables to better and more easily handle the error situations. In the same flow you do the following:
1st dataflow:
Should read .csv file and load data to a temp table. If the file is processed with errors you simply truncate the temp table. In addition, you should also configure the flat file source output to redirect the errors to an error log table.
2nd dataflow:
On the other hand, in case of processing error-free, you need to transfer the rows from temp into the destination table. So, here, the OLEDB datasource is "temp table" and the OLEDB destination is "final table".
Don´t forget to truncate the temp table in both cases, as the next file will need an empty table.
Let's break this down a bit.
I assume that you have a data flow that processes an individual file at a time. The data flow would read the input file via a source connection, transform it and then load the data into the destination. You would basically need to implement the Error Handler flow in your transformations by choosing "Redirect Row". Details on the Error Flow are available here: https://learn.microsoft.com/en-us/sql/integration-services/data-flow/error-handling-in-data.
If you need to skip an entire file due to a bad format, you will need to implement a Precedence Constraint for failure on the file system task.
My suggestion would be to get a copy of the exam preparation book for exam 70-463 - it has great practice examples on exactly the kind of scenarios that you have run into.
We do something similar with Excel files
We have an ErrorsFound variable which is reset each time a new file is read within the for each loop.
A script component validates each row of the data and sets the ErrorsFound variable to true if an error is found, and builds up a string containing any error details.
Then - based on the ErrorsFound variable - either the data is imported or the error is recorded in a log table.
It gets a bit more tricky when the Excel files are filled in badly enough for the process not to be able to read them at all - for example when text is entered in a date, number or currency field. In this case we use the OnError Event Handler of the Data flow task to record an error in the log but won't know which row(s) caused the problem
I am trying to update one of my SQL tables with new columns in my source CSV file. The CSV records in this file are already in this SQL table, but this SQL table is lacking some of the new columns from this CSV file.
I already added the new columns to my SQL table structure via ALTER TABLE. But now I just need to import the data from this CSV file into the new columns. How can I do this? I am trying to use SSIS and SQL Server to accomplish this, but am pretty new to Excel.
This is probably too late to solve salvationishere's problem; though I'm posting this for future readers!
You could just generate the SQL INSERT/UPDATE/etc command by parsing the csv file (a simple python script will do).
You could alternatively use this online parser:
http://www.convertcsv.com/csv-to-sql.htm
(Hoping that it'd still be available when you click!)
to generate your SQL command. The interface is extremely straight forward and it does the entire job in an awesome way.
You have several options:
If you are loading the data into a non-production system where you can edit the target tables, you could load the data into a new table, rename the old table to obsolete, and rename the new table to the old table name.
You can load the data into a staging table and then write a SQL statement to update the target table from the staging table.
You can open the CSV file in Excel and write a formula to generate an update script, drag the formula down across all rows so that you get a separate update statement for each row, and then run the separate update statements in management studio.
You can truncate the target table and update your existing ssis package that imports the file to use the new columns if you have the full history in your CSV file.
There are more options, but any of the above would probably be more than adequate solutions.