Should we make blank values and empty string to None in csv?

[haohuaijin]

Which part is this question about

arrow-csv

arrow-rs/arrow-csv/src/reader/mod.rs

Lines 792 to 795 in 31bc84c

	DataType::Utf8 => Ok(Arc::new(
	rows.iter()
	.map(|row| Some(row.get(i)))
	.collect::<StringArray>(),

Describe your question

related to apache/datafusion#7797
In our current implement, we make blank values and empty string to empty string.
But in spark, the blank values and empty strings are treated equally to NULL, should we also make blank values and empty value to NULL.

Additional context

[tustvold]

I think making the null_regex apply to string columns makes sense to me, I honestly thought that was already the case

[haohuaijin]

I find we don't apply null_regex to string columns. If you don't mind, I want to fix it.

[alamb]

This also makes sense to me -- thank you @haohuaijin

[tustvold]

label_issue.py automatically added labels {'arrow'} from #4942