MrCoco5921 opened a new issue, #39290:
URL: https://github.com/apache/arrow/issues/39290
### Describe the enhancement requested
in R,
csv_parse_options(
delimiter = ",",
quoting = TRUE,
quote_char = "\"",
double_quote = TRUE,
escaping = FALSE,
escape_char = "\\",
newlines_in_values = FALSE,
ignore_empty_lines = TRUE
)
in Python, there is a parameter called invalid_row_handler in
pyarrow.csv.ParseOptions. Now, I need to process a large csv data using R
arrow, but maybe there are some error rows in data, and I don't know these
rows' location, I want to use this parameter to skip these error rows, or is
there other choice to deal with this problem?
### Component(s)
R
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]