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Website: Add blog post for 16.1.0 (#516)
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Co-authored-by: Antoine Pitrou <antoine@python.org>
Co-authored-by: Adam Reeve <adreeve@gmail.com>
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---
layout: post
title: "Apache Arrow 16.1.0 Release"
date: "2024-05-14 00:00:00"
author: pmc
categories: [release]
---
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The Apache Arrow team is pleased to announce the 16.1.0 release.
This is a minor release that includes [**34 resolved issues**][1]
from [**16 distinct contributors**][2]. See the Install Page to learn how to get the libraries for your platform.

The release notes below are not exhaustive and only expose selected highlights
of the release. Other bugfixes and improvements have been made: we refer
you to the [complete changelog][3].


## C++ notes

The scratch space required by some `Scalar` subclasses is now immutable after
initialization ([GH-40069](https://github.com/apache/arrow/issues/40069)). This fixes thread-safety bugs when this scratch
space was lazily initialized, but introduces an API incompatibility because
writing to the `value` member of some concrete `Scalar` subclasses is not
allowed anymore. Affected classes include `BaseBinaryScalar`, `BaseListScalar`,
`SparseUnionScalar`, `DenseUnionScalar` and `RunEndEncodedScalar`.

The `bit_width` and `byte_width` methods on `ExtensionType` now return the
corresponding value for the underlying storage type ([GH-41353](https://github.com/apache/arrow/issues/41353)).

### Parquet

A regression that prevented reading BYTE_STREAM_SPLIT columns with null values
was fixed ([GH-41562](https://github.com/apache/arrow/issues/41562)).

## C# notes
* Recompute a sliced array's null count on demand when it is unknown ([GH-41136](https://github.com/apache/arrow/issues/41136))
* Support writing sliced arrays in the Arrow IPC format ([GH-40517](https://github.com/apache/arrow/issues/40517), [GH-41225](https://github.com/apache/arrow/issues/41225), [GH-41231](https://github.com/apache/arrow/issues/41231))
* Bug fixes for union array behaviour ([GH-41137](https://github.com/apache/arrow/issues/41137), [GH-41140](https://github.com/apache/arrow/issues/41140))

## Go Notes

* Enable support for reading date64 from CSV ([GH-41594](https://github.com/apache/arrow/issues/41594))
* Update MarshalJSON() for Float32 and Float64 to be able to handle NaN, +Inf and -Inf values ([GH-40563](https://github.com/apache/arrow/issues/40563))

## JavaScript notes

* Store Timestamps in 64 bits ([GH-40959](https://github.com/apache/arrow/issues/40959))
* Update JS dependencies ([GH-40989](https://github.com/apache/arrow/issues/40989))
* Add at() for array like types ([GH-39131](https://github.com/apache/arrow/issues/39131))
* Refactor imports ([GH-39482](https://github.com/apache/arrow/issues/39482))


[1]: https://github.com/apache/arrow/milestone/63?closed=1
[2]: {{ site.baseurl }}/release/16.1.0.html#contributors
[3]: {{ site.baseurl }}/release/16.1.0.html#changelog

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