In my output CSV file I have 4 columns that are Data Type Currency. My output is a Flat File CSV file.
I would like every column in the output to be of the format $####.##
This is not happening. Columns in the output CSV file that actually have cents are appearing 50.79 (no $), columns that end in 0 are suppressing the 0 (40.8) and columns that are zero are appearing as simply 0.
In the CSV file that I am using for my Flat File Destination Connection Manager I have formatted the 4 columns as currency and in SSIS I have formatted the 4 columns as currency.
Can someone show me how to accomplish what I want?
Thanks
If you don't want the cents suppressed, your format should be:
$0.00
If you want thousand separators:
$#,##0.00
Related
I export to csv from php using phpexcel library. In my file i want to export multidimensional array. My first, and second row set as header, that have different count column:
Name
Address
Phone Number
Item
Qty
Grace
Texas
098987
Orange
2
When I exported on csv it becomes
"Name","Address","Phone Number"
"Item,"Qty",""
"Grace","Texas","098987"
"Orange","2",""
How can I remove double quote on empty column?
I have an Excel file with 900+ column I need to import on regular basis into Access. Unfortunately I get the Excel file as such and can't change the data structure. The good news is I only need few columns of those 900+. Unfortunately MS Access can't work with files more than 255 columns.
So the idea is to import as csv file with all columns in each row in just text field. And then using VBA in Access via split to break it out again.
Question:
As I don't need all columns I want to only keep some items. So I have as input a list of column numbers I need to keep. The list is dynamic in a sense it is user defined. There is a table with all item numbers users wants to have.
I can relatively easy split the sourceTbl field.
SELECT split(field1, vbTab) from sourceTbl
If I would know I always need to extract certain columns I could probalby write in some
SELECT getItem(field1, vbTab, 1), getItem(field1, vbTab, 4), ...
Where getItem would be custom function to return item number i. Problem is which/how many columns to retrieve is not static. I read that dynamically from another table that lists the item numbers to keep.
Sample Data:
sourceTbl: field1 = abc;def;rtz;jkl;wertz;hjk
columnsToKeep: 1,4,5
Should output: abc, jkl, wertz
Excel files have around 20k rows each. About 100 MB data per file. Talking about 5 files per import. Filtered on the needed columns all data imported is about 50 MB.
In an SSRS 2008 R2 report, the users are going to export the data to: csv (comma delimited) and excel.
I am using the following to display if a column is visible or not:
=IIF(Mid(Globals!RenderFormat.Name,1,5)="EXCEL" AND First(Len(Fields!CustomerNumber.Value)) > 0,False,true)
I have set the DataElementOutput=Output for the textbox that displays the value.
I have left DataElementOutput=Auto for the textbox that contains the column header.
When exporting to csv (comma delimited) or excel, I basically want the column to be visible when there is data in the field and the column not to be visible when there is no data.
The code works for excel but the code does not work for comma delimited.
Thus, can you tell me what I can do so the column is not disaplyed when the data is exported to csv (comma delimited)?
You may attempt to do this with a continuation of statement accounting for the "CSV" output type.
=IIF( (Mid(Globals!RenderFormat.Name,1,5)="EXCEL" OR Mid(Globals!RenderFormat.Name,1,5)="CSV") AND First(Len(Fields!CustomerNumber.Value)) > 0,False,true)
Or a switch statement:
=Switch(Mid(Globals!RenderFormat.Name,1,5)="EXCEL" AND First(Len(Fields!CustomerNumber.Value)) > 0,False, Mid(Globals!RenderFormat.Name,1,5)="CSV" AND First(Len(Fields!CustomerNumber.Value)) > 0,False,true)
However....
The problem may be due to the nature of a csv file being a simpler format that cannot handle this in output. It depends on how SSRS handles the output if it is hard writing the output before the write operation. It may simply not work because of the limitations of the format of CSV. If this was the case you may be able to simple take the Excel output and save it to CSV either in code or a manual operation.
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 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).