dsisnero/arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

Apache Arrow

Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

• The Arrow Columnar In-Memory Format
• C++ libraries
• C bindings using GLib
• C# .NET libraries
• Gandiva: an LLVM-based Arrow expression compiler, part of the C++ codebase
• Go libraries
• Java libraries
• JavaScript libraries
• Plasma Object Store: a shared-memory blob store, part of the C++ codebase
• Python libraries
• R libraries
• Ruby libraries
• Rust libraries

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain a number of distinct software components:

• Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
• Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
• Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
• Low-overhead IO interfaces to files on disk, HDFS (C++ only)
• Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
• Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
• Conversions to and from other in-memory data structures

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved:

• Join the mailing list: send an email to dev-subscribe@arrow.apache.org. Share your ideas and use cases for the project.
• Follow our activity on JIRA
• Learn the format
• Contribute code to one of the reference implementations

How to Contribute

We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the github.com/apache/arrow repository.

If you are looking for some ideas on what to contribute, check out the JIRA issues for the Apache Arrow project. Comment on the issue and/or contact dev@arrow.apache.org with your questions and ideas.

If you’d like to report a bug but don’t have time to fix it, you can still post it on JIRA, or email the mailing list dev@arrow.apache.org

To contribute a patch:

1. Break your work into small, single-purpose patches if possible. It’s much harder to merge in a large change with a lot of disjoint features.
2. Create a JIRA for your patch on the Arrow Project JIRA.
3. Submit the patch as a GitHub pull request against the master branch. For a tutorial, see the GitHub guides on forking a repo and sending a pull request. Prefix your pull request name with the JIRA name (ex: apache#240).
4. Make sure that your code passes the unit tests. You can find instructions how to run the unit tests for each Arrow component in its respective README file.
5. Add new unit tests for your code.

Thank you in advance for your contributions!