[ANNOUNCE] Apache Arrow nanoarrow 0.5.0 Released

2024-05-29 Thread Dewey Dunnington
The Apache Arrow community is pleased to announce the 0.5.0 release of
Apache Arrow nanoarrow. This initial release covers 79 resolved issues
from 9 contributors[1].

The release is available now from [2], release notes are available at
[3], and a blog post highlighting new features and breaking changes is
available at [4].

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 C library for building and interpreting
Arrow C Data interface structures with bindings for users of R and
Python. 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 [5].

Please report any feedback to the mailing lists ([6], [7]).

Regards,
The Apache Arrow Community

[1] 
https://github.com/apache/arrow-nanoarrow/issues?q=milestone%3A%22nanoarrow+0.5.0%22+is%3Aclosed
[2] https://www.apache.org/dyn/closer.cgi/arrow/apache-arrow-nanoarrow-0.5.0
[3] 
https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.5.0/CHANGELOG.md
[4] https://arrow.apache.org/blog/2024/05/27/nanoarrow-0.5.0-release/
[5] https://arrow.apache.org/nanoarrow/
[6] https://lists.apache.org/list.html?u...@arrow.apache.org
[7] https://lists.apache.org/list.html?d...@arrow.apache.org


[ANNOUNCE] Apache Arrow nanoarrow 0.4.0 Released

2024-02-12 Thread Dewey Dunnington
The Apache Arrow community is pleased to announce the 0.4.0 release of
Apache Arrow nanoarrow. This initial release covers 44 resolved issues
from 5 contributors[1].

The release is available now from [2], release notes are available at
[3], and a blot post documenting new contributions is available at
[4].

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+0.4.0%22+is%3Aclosed
[2]: https://www.apache.org/dyn/closer.cgi/arrow/apache-arrow-nanoarrow-0.4.0
[3]: 
https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.4.0/CHANGELOG.md
[4]: https://arrow.apache.org/blog/2024/01/29/nanoarrow-0.4.0-release/
[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


[ANNOUNCE] Apache Arrow nanoarrow 0.3.0 Released

2023-09-30 Thread Dewey Dunnington
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


[ANNOUNCE] Apache Arrow nanoarrow 0.2.0 Released

2023-06-24 Thread Dewey Dunnington
The Apache Arrow community is pleased to announce the 0.2.0 release of
Apache Arrow nanoarrow. This initial release covers 19 resolved issues
from 6 contributors[1].

The release is available now from [2].

Release notes are available at:
https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.2.0/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+0.2.0%22+is%3Aclosed
[2]: https://www.apache.org/dyn/closer.cgi/arrow/apache-arrow-nanoarrow-0.2.0
[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


[ANNOUNCE] Apache Arrow nanoarrow 0.1.0 Released

2023-03-09 Thread Dewey Dunnington
The Apache Arrow community is pleased to announce the 0.1.0 release of
Apache Arrow nanoarrow. This initial release covers 31 resolved issues
from 6 contributors[1].

The release is available now from [2].

Release notes are available at:
https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.1.0/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+0.1.0%22+is%3Aclosed
[2]: https://www.apache.org/dyn/closer.cgi/arrow/apache-arrow-nanoarrow-0.1.0
[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