Jefffrey commented on code in PR #10361:
URL: https://github.com/apache/arrow-rs/pull/10361#discussion_r3642680266
##########
arrow-csv/src/reader/mod.rs:
##########
@@ -351,6 +351,85 @@ impl Format {
self
}
+ /// Infer format settings from the CSV records in `reader`
+ ///
+ /// This currently infers whether the first record is a header. Up to
+ /// `max_records` records after the first record are inspected; if `None`,
all
+ /// records are read. Detection is conservative and returns no header when
the
+ /// sampled records do not provide type evidence.
+ ///
+ /// # Example
+ ///
+ /// ```
+ /// use arrow_csv::reader::Format;
+ /// use std::io::Cursor;
+ ///
+ /// let csv = "name,count\nalice,1\nbob,2\n";
+ /// let format = Format::default().infer_format(Cursor::new(csv),
Some(10))?;
+ /// let (schema, records_read) = format.infer_schema(Cursor::new(csv),
None)?;
+ ///
+ /// assert_eq!(schema.field(0).name(), "name");
+ /// assert_eq!(records_read, 2);
+ /// # Ok::<_, arrow_schema::ArrowError>(())
+ /// ```
+ pub fn infer_format<R: Read>(
+ mut self,
+ reader: R,
+ max_records: Option<usize>,
+ ) -> Result<Self, ArrowError> {
Review Comment:
should we be returning no. of rows read like `infer_schema()`?
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