pub struct BufReader<R> {
reader: R,
decoder: Decoder,
schema: SchemaRef,
}Expand description
CSV file reader implementation. See Reader for usage
Despite having the same name as [std::io::BufReader, this structure does
not buffer reads itself
Fields§
§reader: RFile reader
decoder: DecoderThe decoder
schema: SchemaRefSchema of the record batches produced by this reader
Implementations§
Source§impl<R> BufReader<R>
impl<R> BufReader<R>
Sourcepub fn truncated_row_count(&self) -> usize
pub fn truncated_row_count(&self) -> usize
The number of rows padded because they had fewer fields than the schema
Always 0 unless ReaderBuilder::with_truncated_rows was set to true.
The count is cumulative over the lifetime of this reader, so reading it between batches yields a running total of the rows read so far, and reading it once the reader is exhausted yields the total for the whole input. Rows that are skipped rather than read into a batch, such as a header row or rows before the start bound, do not contribute.
A padded row is indistinguishable from a row with genuinely empty trailing fields once it has been read, so this counter is the only way to tell the two apart.
let schema = Arc::new(Schema::new(vec![
Field::new("a", DataType::Int32, true),
Field::new("b", DataType::Int32, true),
]));
let mut reader = ReaderBuilder::new(schema)
.with_truncated_rows(true)
.build(Cursor::new("1,2\n3\n"))
.unwrap();
let batches = reader.by_ref().collect::<Result<Vec<_>, _>>().unwrap();
assert_eq!(batches[0].num_rows(), 2);
assert_eq!(reader.truncated_row_count(), 1);Trait Implementations§
Source§impl<R: BufRead> Iterator for BufReader<R>
impl<R: BufRead> Iterator for BufReader<R>
Source§fn next(&mut self) -> Option<Self::Item>
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