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Apex Data Loader 12.0 CSV File Issue

CSV Error: Invalid CSV FIle Format. Please select a different file. Error reading row #789: the number of data columns (19) exceeds the number of columns in the header (17).
If I remove the row in question, the file loads fine. I put the row into a separate file and load that and everything loads fine. The original file has about 21000 rows. Has anyone encountered this issue?
I am having exactly the same error. Unfortunately my Data Loader doesn't work even if I remove the line in question, and I have made sure that I am uploading .csv's and not .xls.
For the record I am using Data Loader 13.0 now, and excel 2007 with vista.
Anyone who can help?
I got the same error reading row#1(which has the column header names). I am new to salesforce and I just started playing with dataloader to import 10 accounts from a .csv file on to a temporary custom object.
I tried deleting the first row and I still get the same error, "the number of data columsn(2) exceeds the number of columns in the header(1)". Can anybody help me? Thank you - Velma.
The error in my case was because the file was saved as a .xls file. I tried to change it by adding .csv to it. It might not work that way. Use save as and select csv from the dropdown list.
Hi Malling
I am expereicing the same problem with a large file (23000). No matter which lines I remove I still get the same error!
Did you find a solution to this problem?
Thanks in advance
Kay
Kay, can you double check your file format?
click save as
select CSV(Comma delimited)(*.csv) and save
Run the load again and see.
Hello,
Please do make sure that all commas have been removed before saving it as a *.CSV file.
Cheers,
Hugooo
Please make a change in your record data column. e.g. if you have number field say for “XXX “name with data type “Number (18,0)”.
Then follow below steps:
Right click on that field value in CSV file | Format Cells... | Select “Number” Tab | Category : Scientific | Decimal Place: 18 | Click OK.
Now apply this change in all the records of that column.
Hope this is helpful.