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Apache Arrow
A set of technologies that enable big data systems to process and transfer ...
README
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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:
a standard and efficient in-memory representation of various datatypes, plain or nested
an efficient serialization of the Arrow format and associated metadata,
for communication between processes and heterogeneous environments
based on the Arrow IPC format, a building block for remote services exchanging
Arrow data with application-defined semantics (for example a storage server or a database)
- Gandiva:
an LLVM-based Arrow expression compiler, part of the C++ codebase
a shared-memory blob store, part of the C++ codebase
Arrow is an Apache Software Foundation project. Learn more at
What's in the Arrow libraries?
The reference Arrow libraries contain many 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
- IO interfaces to local and remote filesystems
- 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
- Readers and writers for various widely-used file formats (such as Parquet, CSV)
Implementation status
The official Arrow libraries in this repository are in different stages of
implementing the Arrow format and related features. See our current
on git master.
How to Contribute
Please read our latest [project contribution guide][5].
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][1]. Share your ideas and use cases for the
project.
- [Follow our activity on JIRA][3]
- [Learn the format][2]
- Contribute code to one of the reference implementations
[1]: mailto:dev-subscribe@arrow.apache.org
[2]: https://github.com/apache/arrow/tree/master/format
[3]: https://issues.apache.org/jira/browse/ARROW
[4]: https://github.com/apache/arrow
[5]: https://github.com/apache/arrow/blob/master/docs/source/developers/contributing.rst
