Struct polars_io::avro::AvroReader

pub struct AvroReader<R> { /* private fields */ }

Available on crate feature avro only.

Read Apache Avro format into a DataFrame

Example

use std::fs::File;
use polars_core::prelude::*;
use polars_io::avro::AvroReader;
use polars_io::SerReader;

fn example() -> PolarsResult<DataFrame> {
    let file = File::open("file.avro").expect("file not found");

    AvroReader::new(file)
            .finish()
}

Implementations

impl<R: Read + Seek> AvroReader<R>

pub fn schema(&mut self) -> PolarsResult<Schema>

Get schema of the Avro File

pub fn arrow_schema(&mut self) -> PolarsResult<ArrowSchema>

Get arrow schema of the avro File, this is faster than a polars schema.

pub fn with_n_rows(self, num_rows: Option<usize>) -> Self

Stop reading when n rows are read.

pub fn with_projection(self, projection: Option<Vec<usize>>) -> Self

Set the reader’s column projection. This counts from 0, meaning that vec![0, 4] would select the 1st and 5th column.

pub fn with_columns(self, columns: Option<Vec<String>>) -> Self

Columns to select/ project

Trait Implementations

impl<R> SerReader<R> for AvroReader<R>

where R: Read + Seek,

fn new(reader: R) -> Self

Create a new instance of the [SerReader]

fn set_rechunk(self, rechunk: bool) -> Self

Make sure that all columns are contiguous in memory by aggregating the chunks into a single array.

fn finish(self) -> PolarsResult<DataFrame>

Take the SerReader and return a parsed DataFrame.