I'm trying to import a csv file into SQL using SSIS and am hitting a fundamental flaw.
SSIS seems to determine that all fields are varchar(50), even though it correctly identifies the comma delimiter.
This is causing issues when I try to send the data to my table in SQL.
Is there a way of making it recognise that a field of length 3 is actually a field of length 3, and not 50?
Thanks
Yes, there's a Suggest Types function in the Flat File Connection Manager Editor.
Assume you have got a CSV file shown in the first image.
Create a new Flat file connection, and browse this file on your computer. The Columns tab shows the sample of the file.
Click Advanced tab. There you can see all columns have DT_STR type with the length of 50. What you can see is the Suggest Types... button. Click this.
Set parameters as you like. Defaults are all right in my case. Click OK.
Now the first column has the type of DT_STR with the length of 1. (The other two columns have got new types as well. The Number column got DT_I1 (because we choosed the smallest appropriate integer type option), and the Date column got DT_DATE.
Related
I'm stuck with a conversion problem...or atleast at datatype problem.
Trying to read a csv-file and update a SQL-database with its content.
The column I have problems with have numbers like 64,51 (at most 3 digits with 2 decimals).
In the database I have set the datatype as decimal(3,2) and in the flat file Connection manager I have set it as decimal(DT_DECIAL) with the scale of 2.
Along the flow I do a Derived column, merging two columns into one and then convert the new column.
Looking in the advanced editor of the OLE DB-destination I can see that in the Input Columns the column is set as DT_DECIMAL, but in the External column its set as a DT_NUMERIC.
How do I change that?
I can change the properties but every time it reverts back to numeric when I press OK.
The errormessage says: "Conversion failed because the data value overflowed the specified type."
Thanks for all tips on this!
I have an SSIS package with a simple Source(vertica query) and Destination (sql DB). When I load the data my data values are cut off.
For example, I have a Country code and this is listed as "C" instead of "CN" . I tried to put a DATA CONVERSION and change the data type to DT_STRING, which normally works, but this time it doesn't seem to do anything. Any idea on how I can handle these truncation's. I have mapped the field lengths all the same from source to destination.
Go into the Advanced Properties of the Source component, and go into each of the Output Columns that has truncated data, and set the Length property of each of those columns to the maximum possible length that the data in that column can be.
Also take out your data conversion component, since you shouldn't need it and it might interfere with the results of the above change.
My 2008R2 SSRS report contains a detail column called debit which is formatted like "#,0.00". When I export the file via .csv the debit column does not always have the right formatting of 0.00. If the number is 0, then what appears is "0". If the number is 123.40, then it appears as 123.4. If the number is 123.44, then it appears as 1213.44.
I want each number in this column to always have 2 decimal places in the .csv file. I checked out many other articles on stackoverflow about this, but none seem to address this issue correctly.
I tried changing the format to many other formats. I noticed when I changed the format in SSRS to "C" for currency, then the 2 decimal places appeared. But the problem with that is my users do not want the "$" symbol.
I tried changing the CSV export to ASCII format in the config file, but that did not work.
I used the code here:Non-Unicode CSV Export from SQL Server Report Server
Can anyone help me with getting the format correct in the CSV file without mannually changing the CSV file?
Thank you!
The problem mentioned is report header's are being displayed when user generate report for CSV format, which is not supposed to be like that. But actually in CSV Format, While in the preview , we can hide or show report header's and it doesn't show textbox names .
While in the exported/generated one , the CSV format hides the report's headers, but instead of that it shows textbox names and any changes We made in the properties to change that textbox name to make it as blank or disappear, it reflects on that column values but doesn't on that textbox name.
So I want to mention that better We can give some other meaningful names or by default it shows as 'Textbox1', but we must give any valid name to that textbox name and it appears on the generated CSV format.
NOTE: I also want to mention that all visibility properties works well with the report header's but not on the textbox names.
I am using Office 2003
On Access, I export values from a form into a .xls, after that using mail merge on word I import the data to be displayed on the file. Data such as dates and strings are displayed correctly.
In Access theres the value 9,916.12 wich is exported to the .xls as 'price' that contains 9,916.12, both values match keeping the same format, but when mail merge kicks in the value displayed on the document becomes 9916,1200000000008.
I am lost as to what is causing that. The field that is being exported contains only 2 decimals, it displays on excel as a value with only 2 decimals yet when word reads it, it adds random decimals to it. If I manually alter the value on excel the error persists, so does it if I choose a different record to be exported.
Any tips on how to solve the problem?
See this Microsoft Answers discussion and this in-depth description on how to use a merge field such as {Mergefield NumberFieldName \# ",0.00"} to work around the issue. It's been awhile since I had to do mail merges, especially with Word 2003, but I think that should do it.
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).