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pola-rs
GitHub Repository: pola-rs/polars
Path: blob/main/crates/polars-arrow/src/doc/lib.md
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Welcome to polars_arrow's documentation. Thanks for checking it out!

This is a library for efficient in-memory data operations with Arrow in-memory format. It is a re-write from the bottom up of the official arrow crate with soundness and type safety in mind.

Check out the guide for an introduction. Below is an example of some of the things you can do with it:

use std::sync::Arc; use polars_arrow::array::*; use polars_arrow::datatypes::{Field, DataType, Schema}; use polars_arrow::compute::arithmetics; use polars_arrow::error::Result; use polars_arrow::io::parquet::write::*; use polars_arrow::chunk::Chunk; fn main() -> Result<()> { // declare arrays let a = Int32Array::from(&[Some(1), None, Some(3)]); let b = Int32Array::from(&[Some(2), None, Some(6)]); // compute (probably the fastest implementation of a nullable op you can find out there) let c = arithmetics::basic::mul_scalar(&a, &2); assert_eq!(c, b); // declare a schema with fields let schema = Schema::from(vec![ Field::new("c1", DataType::Int32, true), Field::new("c2", DataType::Int32, true), ]); // declare chunk let chunk = Chunk::new(vec![a.arced(), b.arced()]); // write to parquet (probably the fastest implementation of writing to parquet out there) let options = WriteOptions { write_statistics: true, compression: CompressionOptions::Snappy, version: Version::V1, data_page_size: None, }; let row_groups = RowGroupIterator::try_new( vec![Ok(chunk)].into_iter(), &schema, options, vec![vec![Encoding::Plain], vec![Encoding::Plain]], )?; // anything implementing `std::io::Write` works let mut file = vec![]; let mut writer = FileWriter::try_new(file, schema, options)?; // Write the file. for group in row_groups { writer.write(group?)?; } let _ = writer.end(None)?; Ok(()) }

Cargo features

This crate has a significant number of cargo features to reduce compilation time and number of dependencies. The feature "full" activates most functionality, such as:

  • io_ipc: to interact with the Arrow IPC format

  • io_ipc_compression: to read and write compressed Arrow IPC (v2)

  • io_flight to read and write to Arrow's Flight protocol

  • compute to operate on arrays (addition, sum, sort, etc.)

The feature simd (not part of full) produces more explicit SIMD instructions via std::simd, but requires the nightly channel.