47 releases (31 major breaking)
| 55.1.0 | May 13, 2025 |
|---|---|
| 54.3.1 | Mar 30, 2025 |
| 54.0.0 | Dec 23, 2024 |
| 53.4.1 | Mar 7, 2025 |
| 24.0.0 | Oct 3, 2022 |
#47 in Database interfaces
1,846,774 downloads per month
Used in 689 crates
(132 directly)
325KB
6K
SLoC
Native Rust implementation of Apache Arrow and Apache Parquet
Welcome to the Rust implementation of Apache Arrow, the popular in-memory columnar format.
This repo contains the following main components:
| Crate | Description | Latest API Docs | README |
|---|---|---|---|
arrow |
Core functionality (memory layout, arrays, low level computations) | docs.rs | (README) |
arrow-flight |
Support for Arrow-Flight IPC protocol | docs.rs | (README) |
object-store |
Support for object store interactions (aws, azure, gcp, local, in-memory) | docs.rs | (README) |
parquet |
Support for Parquet columnar file format | docs.rs | (README) |
parquet_derive |
A crate for deriving RecordWriter/RecordReader for arbitrary, simple structs | docs.rs | (README) |
The current development version the API documentation in this repo can be found here.
Release Versioning and Schedule
arrow and parquet crates
The Arrow Rust project releases approximately monthly and follows Semantic Versioning.
Due to available maintainer and testing bandwidth, arrow crates (arrow,
arrow-flight, etc.) are released on the same schedule with the same versions
as the parquet and parquet-derive crates.
This crate releases every month. We release new major versions (with potentially breaking API changes) at most once a quarter, and release incremental minor versions in the intervening months. See ticket #5368 for more details.
To keep our maintenance burden down, we do regularly scheduled releases (major
and minor) from the main branch. How we handle PRs with breaking API changes
is described in the contributing guide.
Planned Release Schedule
| Approximate Date | Version | Notes |
|---|---|---|
| Mar 2025 | 54.2.0 |
Minor, NO breaking API changes |
| Apr 2025 | 55.0.0 |
Major, potentially breaking API changes |
| May 2025 | 55.1.0 |
Minor, NO breaking API changes |
object_store crate
The object_store crate is released independently of the arrow and
parquet crates and follows Semantic Versioning. We aim to release new
versions approximately every 2 months.
Planned Release Schedule
| Approximate Date | Version | Notes |
|---|---|---|
| Feb 2025 | 0.12.0 |
Major, potentially breaking API changes |
| Apr 2025 | 0.12.1 |
Minor, NO breaking API changes |
Guidelines for panic vs Result
In general, use panics for bad states that are unreachable, unrecoverable or harmful.
For those caused by invalid user input, however, we prefer to report that invalidity
gracefully as an error result instead of panicking. In general, invalid input should result
in an Error as soon as possible. It is ok for code paths after validation to assume
validation has already occurred and panic if not. See ticket #6737 for more nuances.
Deprecation Guidelines
Minor releases may deprecate, but not remove APIs. Deprecating APIs allows downstream Rust programs to still compile, but generate compiler warnings. This gives downstream crates time to migrate prior to API removal.
To deprecate an API:
- Mark the API as deprecated using
#[deprecated]and specify the exact arrow-rs version in which it was deprecated - Concisely describe the preferred API to help the user transition
The deprecated version is the next version which will be released (please
consult the list above). To mark the API as deprecated, use the
#[deprecated(since = "...", note = "...")] attribute.
Foe example
#[deprecated(since = "51.0.0", note = "Use `date_part` instead")]
In general, deprecated APIs will remain in the codebase for at least two major releases after
they were deprecated (typically between 6 - 9 months later). For example, an API
deprecated in 51.3.0 can be removed in 54.0.0 (or later). Deprecated APIs
may be removed earlier or later than these guidelines at the discretion of the
maintainers.
Related Projects
There are several related crates in different repositories
| Crate | Description | Documentation |
|---|---|---|
datafusion |
In-memory query engine with SQL support | (README) |
ballista |
Distributed query execution | (README) |
object_store_opendal |
Use opendal as object_store backend |
(README) |
parquet_opendal |
Use opendal for parquet Arrow IO |
(README) |
Collectively, these crates support a wider array of functionality for analytic computations in Rust.
For example, you can write SQL queries or a DataFrame (using the
datafusion crate) to read a parquet file (using the parquet crate),
evaluate it in-memory using Arrow's columnar format (using the arrow crate),
and send to another process (using the arrow-flight crate).
Generally speaking, the arrow crate offers functionality for using Arrow
arrays, and datafusion offers most operations typically found in SQL,
including joins and window functions.
You can find more details about each crate in their respective READMEs.
Arrow Rust Community
The dev@arrow.apache.org mailing list serves as the core communication channel for the Arrow community. Instructions for signing up and links to the archives can be found on the Arrow Community page. All major announcements and communications happen there.
The Rust Arrow community also uses the official ASF Slack for informal discussions and coordination. This is
a great place to meet other contributors and get guidance on where to contribute. Join us in the #arrow-rust channel and feel free to ask for an invite via:
- the
dev@arrow.apache.orgmailing list - the GitHub Discussions
- the Discord channel
The Rust implementation uses GitHub issues as the system of record for new features and bug fixes and this plays a critical role in the release process.
For design discussions we generally collaborate on Google documents and file a GitHub issue linking to the document.
There is more information in the contributing guide.
Dependencies
~0–305KB