The Apache Arrow community is pleased to announce the 0.3.0 release of
Apache Arrow nanoarrow. This release covers 42 resolved issues from 4
contributors[1].
The release is available now from [2].
Release notes are available at:
https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.3.0/CHANGELOG.md
What is Apache Arrow?
-
Apache Arrow is a columnar in-memory analytics layer designed to
accelerate big data. It houses a set of canonical in-memory
representations of flat and hierarchical data along with multiple
language-bindings for structure manipulation. It also provides
low-overhead streaming and batch messaging, zero-copy interprocess
communication (IPC), and vectorized in-memory analytics libraries.
Languages currently supported include C, C++, C#, Go, Java,
JavaScript, Julia, MATLAB, Python, R, Ruby, and Rust.
What is Apache Arrow nanoarrow?
--
Apache Arrow nanoarrow is a small C library for building and
interpreting Arrow C Data interface structures with bindings for users
of the R programming language. The vision of nanoarrow is that it
should be trivial for a library or application to implement an
Arrow-based interface. The library provides helpers to create types,
schemas, and metadata, an API for building arrays element-wise,
and an API to extract elements element-wise from an array. For a more
detailed description of the features nanoarrow provides and motivation
for its development, see [3].
Please report any feedback to the mailing lists ([4], [5]).
Regards,
The Apache Arrow Community
[1]:
https://github.com/apache/arrow-nanoarrow/issues?q=is%3Aissue+milestone%3A%22nanoarrow+0.3.0%22+is%3Aclosed
[2]: https://www.apache.org/dyn/closer.cgi/arrow/apache-arrow-nanoarrow-0.3.0
[3]: https://github.com/apache/arrow-nanoarrow
[4]: https://lists.apache.org/list.html?u...@arrow.apache.org
[5]: https://lists.apache.org/list.html?d...@arrow.apache.org
