Hi,
I am trying to read in a .csv file that has about 211 columns and 1000+ rows. Alteryx throws up an error that says - Too many fields in record #7. I tried changing the field size, but that did not help. I do not want to take the approach of reading in without delimiter and then parsing the data. The data is structured in such a way that parsing and getting the correct field names is a little difficult that way.
Is there a solution to this?
Thanks!
Hi @Paulomi
Like @messi007 , sample data could be helpful. But for some troubleshooting - this error happens because Alteryx sees 211 columns based on the headers. Row 7 has 212+ fields so the error occurs. Some thoughts:
If you cannot figure it out please share the sample data + a screenshot of your input configuration
Hi @Luke_C
I have put together a sample dataset; this is as close to the real dataset as possible in terms of variations.
Also,
Here is a screenshot of the configuration -
Thanks!
Hi @Paulomi
You attached an excel file, not csv. Can you share a csv exactly how you would get it? I don't want to make assumptions with how your CSV is set. I do see some data with commas which makes me think that's the issue. Typically when data has commas the fields will often be contained in quotes (hence the setting you have to 'ignore delimiters in quotes').
Hey @Luke_C My bad, I attached an .xlsx. I'm attaching a .csv. It has similar content. In my input setting, I am already ignoring delimiters in quotes. What else should I be doing?
Hi @Paulomi
I can't reproduce the issue. I did notice in your earlier screenshot you were starting the import at row 1 instead of where your data actually starts. Maybe that's contributing?
Hi @Paulomi
I was able to replicate your issue. There is a possibility that there is an issue in the line 7. I replaced Asset Number 4324324 to 432,4324 which brought in a extra comma in line 7.
Workflow:
Just look into the mentioned row and fix your data issue. Another alternative is to read it as no delimiter and later convert it to a table.
Hope this helps : )
I was able to resolve this by reading it without delimiter. But that proved to be a slightly messy solution since there are a lot of dynamic columns and all. Also, to @Luke_C 's point, I require both sets of data - rows 1 to 5 and row 6 onwards.
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