i have column which contain data like :
Value 1\Value 2
Value 1\ Value 2\ Value 3
i don't know how many each rows have "\" and I need to split this data using SSIS Derived Column.
Could you help me?
The problem you're going to run into is that eventually you must define an upper limit to the number of columns, at least if you're going to use a Data Flow Task It does not support dynamic columns.
A script task or component will help you in the splitting of data. The String library has a Split method that takes user specified delimiters
Related
i want to read first line of the flat-file containing date value and compare with a user variable defined in 2008 SSIS package without using sript task.
This solution is a bit long for what the simple task you require but since you don't you want to use script task, you can try below:
Create variable to store the date value from your flat file
Create a data flow task to import the flat file into a SQL table.
Add an Execute SQL task to get the first line from the SQL table and map the result
set to the variable created at step 1.
You can now compare the variable created and the one you already have.
e.g #[User::NewVariableCreated] == #[User::ExistingVariable]
This will return a Boolean data type result of True or False depending on the values supplied.
Hope this helps.
One option is to use a Conditional Split. Within this task, a condition can then be added comparing the date column of each row with the variable. A basic example of a condition for this is below, which checks to see if the date column of each row is equivalent to or more recent than the date variable. From here, the rows be directed based off whichever condition they match.
FlatFileDateColumn >= #[User::DateVariable]
I created SSIS package. I have a Data Flow Task in here, where I have OLE DB DataSource, which loads records from some table from database. Table name is assigned programmatically, so different columns may be output of that DataSource. Also I have Conditional Split connected to DataSource output, where I want to split records. I want to set condition in Conditional Split and I want to do something like that:
#[User::ConditionColumnName] >= #[User::SomeValue]
where #[User::SomeValue] is variable with some value to compare, but #[User::ConditionColumnName] is variable with name of some column from DataSource output. This value I will assign programmatically.
How can I do that? Or may be is there some other way to split data with unknown at compile time columns?
This sounds like a row-based conditional split. Perhaps you could add the variable value into your select list (so that you have a column you can compare on) something like
"SELECT '" + (DT_STR,50,1252)#[User::ConditionColumnName] + "' as MyConditionColumnName, .... FROM ... "
That way you have the column MyConditionColumnName per row that you can compare on in your Conditional Split.
(You could put this select into a variable and run the sql from variable, maybe easier to maintain) - either way you need to parse the query as an expression in order to evaluate your variable before it's run.
I have a couple of questions about the task on which I am stuck and any answer would be greatly appreciated.
I have to extract data from a flat file (CSV) as an input and load the data into the destination table with a specific format based on position.
For example, if I have order_id,Total_sales,Date_Ordered with some data in it, I have to extract the data and load it in a table like so:
The first field has a fixed length of 2 with numeric as a datatype.
total_sales is inserted into the column of total_sales in the table with a numeric datatype and length 10.
date as datetime in a format which would be different than that of the flat file, like ccyy-mm-dd.hh.mm.ss.xxxxxxxx (here x has to be filled up with zeros).
Maybe I don't have the right idea to solve this - any solution would be appreciated.
I have tried using the following ways:
Used a flat file source to get the CSV file and then gave it as an input to OLE DB destination with a table of fixed data types created. The problem here is that the columns are loaded, but I have to fill them up with zeros in case the date when it is been loaded or in most of the columns if I am not utilizing the total length then it has to preceded with zeros in it.
For example, if I have an Orderid of length 4 and in the flat file I have an order id like 201 then it has to be changed to 0201 when it is loaded in the table.
I also tried another way of using a flat file source and created a variable which takes the entire row as an input and tried to separate it with derived columns. I was to an extent successful in getting it, but at last the data type in the derived column got fixed to Boolean type explicitly, which I am not able to change to the data type I want.
Please give me some suggestions on how to handle this issue...
Assuming you have a csv file in the following format
order_id,Total_sales,Date_Ordered
1,123.23,01/01/2010
2,242.20,02/01/2010
3,34.23,3/01/2010
4,9032.23,19/01/2010
I would start by creating a Flat File Source (inside a Data Flow Task), but rather than having it fixed width, set the format to Delimited. Tick the Column names in the first data row. On the column tab, make sure row delimiter is set to "{CR}{LF}" and column delimiter is set to "Comma(,)". Finally, on the Advanced tab, set the data types of each column to integer, decimal and date.
You mention that you want to pad the numeric data types with leading zero's when storing them in the database. Numeric data types in databases tend not to hold leading zero's. So you have two options; either hold the data as the type they are in the target system (int, decimal and dateTime) or use the Derived Column control to convert them to strings. If you decide to store them as strings, adding an expression like
"00000" + (DT_WSTR, 5) [order_id]
to the Derived Column control will add up to 5 leading zeros to order id (don't forget to set the data type length to 5) and would result in an order id of "00001"
Create your target within a Data Flow Destination and make the table/field mappings accordingly (or let SSIS create a new table / mappings for you).
I have a flat file that I need to parse in SSIS, part of this parsing is to chop off a load of extra text at the bottom of the file. To help do this I added a row number to each row using a Script Transformation.
In the Script Transformation (ST) under Inputs and Outputs I have an Input Column defined called Column256_in (it has a length of 256) and its ID is 59.
For Output columns I have defined Column256_out, it has an ID of 68 and a MappedColumnID of 59, there is another Output Col called rowCount.
There is script code contained in the ST the calculates the row number for each row.
When I run the SSIS package I have a Data Grid after the Script Transformation I get the following:
Column256_in contains the data from the orginal text file.
rowCount is populated correctly. ( I did something right today!)
Column256_out is empty --> I thought that the MappedColumnId of 59 would populate this col with the data from Column256_in.
What does the MappedColumnID attribute do on the Out put col?
Thanks for your assistance.
KD
MappedColumnID is just an alternative way of identifying the columns instead of using their names.
From MSDN
The use of these properties is not required. These properties provide an easier way for developers to associate related columns, such as input and output columns, in custom data flow components.
I have a flatfile connection and I'm only interested in the first 10 rows of data. How can I just import the first 10 rows?
Row sampling is random so I can't use that. Is there some way I can have some sort of derived column which is an automatic row number or something and then data-split to only keep rows with that id <= 10?
Any help much appreciated!
I've used this component --> http://www.sqlis.com/post/Row-Number-Transformation.aspx
The component creates a new variable with a row number. You can use a conditional split to take the first 10 records based on the variable the component creates.
One catch is that you will need to read in the entire file. Depending on your file size you may want to seek another solution.
There isn't a direct way of doing that. You can try a work around method by using the "Data rows to skip" property:
You can "invert" your file and skip all first rows -10
Just use a lineCount component with a user variable and a conditional Split based on the value of that variable/