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blog/2026/08/14/nanoarrow-0.9.0-release/index.html | 404 +++++++++++++++++++++
blog/index.html | 27 ++
feed.xml | 159 +++++---
release/index.html | 6 +-
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+++ b/blog/2026/08/14/nanoarrow-0.9.0-release/index.html
@@ -0,0 +1,404 @@
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+<meta name="description" content="The Apache Arrow team is pleased to announce
the 0.9.0 release of Apache Arrow nanoarrow. This release consists of 38
resolved GitHub issues from 5 contributors. Release Highlights In addition to a
number of bugfixes and minor build system improvements, we added several new
features in nanoarrow 0.9.0. Dictionary decoding support in IPC reader
Reference-counted array/buffer support LZ4 decompression support in R and
Python bindings See the Changelog for [...]
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Arrow team is pleased to announce the 0.9.0 release of Apache Arrow nanoarrow.
This release consists of 38 resolved GitHub issues from 5 contributors. Release
Highlights In addition to a number of bugfixes and minor build system
improvements, we added several new features in nanoarrow 0.9.0. Dictionary
decoding support in IPC reader Reference-counted array/buffer support LZ4
decompression support in R and Pyth [...]
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+
+<h1>
+ Apache Arrow nanoarrow 0.9.0 Release
+</h1>
+<hr class="mt-4 mb-3">
+
+
+
+<p class="mb-4 pb-1">
+ <span class="badge badge-secondary">Published</span>
+ <span class="published mr-3">
+ 14 Aug 2026
+ </span>
+ <br>
+ <span class="badge badge-secondary">By</span>
+
+ <a class="mr-3" href="https://arrow.apache.org";>The Apache Arrow PMC (pmc)
</a>
+
+
+
+</p>
+
+
+ <!--
+
+-->
+<p>The Apache Arrow team is pleased to announce the 0.9.0 release of
+Apache Arrow nanoarrow. This release consists of 38 resolved GitHub issues from
+5 contributors.</p>
+<h2>Release Highlights</h2>
+<p>In addition to a number of bugfixes and minor build system improvements, we
+added several new features in nanoarrow 0.9.0.</p>
+<ul>
+<li>Dictionary decoding support in IPC reader</li>
+<li>Reference-counted array/buffer support</li>
+<li>LZ4 decompression support in R and Python bindings</li>
+</ul>
+<p>See the
+<a
href="https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.9.0/CHANGELOG.md";
target="_blank" rel="noopener">Changelog</a>
+for a detailed list of contributions to this release.</p>
+<h2>Features</h2>
+<h3>Dictionary decode support</h3>
+<p>Whereas the nanoarrow IPC reader suppports most Arrow IPC features,
dictionary support
+was a long requested gap in the reader functionality (mostly requested by
users of
+the <a href="https://github.com/paleolimbot/duckdb-nanoarrow"; target="_blank"
rel="noopener">DuckDB nanoarrow extension</a>, which uses nanoarrow's reader).
Dictionary encoding is used to reduce the size of frequently
+repeated values and is the serialized equivalent of the "dictionary" data type
that
+is exposed in most Arrow implementations.</p>
+<p>In nanoarrow 0.9.0 built with the IPC feature enabled, streams that include
the most
+common forms of dictionary encoding (i.e., dictionary replacement) should now
work
+out of the box. This includes nested/complex dictionary types and dictionary
+replacement but does not include "delta" dictionaries (i.e., dictionaires that
+grow larger as more values are encountered in the encoded values).</p>
+<p>In R this is accessible via <code>read_nanoarrow()</code>; in Python this
is accessible via
+<code>nanoarrow.ArrayStream.from_readable()</code>; in C this is available via
the
+higher level <code>ArrowIpcArrayStreamReader</code> API. Lower level users of
the
+<code>ArrowIpcDecoder</code> will have to update existing usage to use the
+<code>ArrowIpcDecoder...WithDictionaries()</code> variants of some functions
+to support input with dictionary schemas or batches.</p>
+<h3>Reference-counted array/buffer support</h3>
+<p>In previous versions (since the introduction of the IPC reader), the
+<code>ArrowIpcSharedBuffer</code> has supported reading IPC streams and
sharing an
+underlying set of data buffers for a group of arrays; however, this wasn't
+quite sufficient for the more complex case of decoding a dictionary and
+attaching cheaply-cloned shared "values" arrays for potentially many batches.
+Version 0.9.0 moves this functionality to the <code>ArrowSharedBuffer</code>
and expands it
+to support moving all of an array's buffers into a shared state that can be
+more cheaply cloned.</p>
+<h3>LZ4 decompression support in R and Python</h3>
+<p>While LZ4 decompression support was has long been available via the
pluggable decoder
+framework (and available since 0.8.0 as a built-in compile time option),
reading
+IPC streams with LZ4 buffer compression was not possible in the R or Python
bindings.
+In 0.9.0, the requisite configuration options were added such that the
packages are
+built with LZ4 when it is available on the system.</p>
+<div class="language-python highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="python"><span class="kn">import</span> <span
class="n">io</span>
+<span class="kn">import</span> <span class="n">nanoarrow</span> <span
class="k">as</span> <span class="n">na</span>
+<span class="kn">import</span> <span class="n">pyarrow</span> <span
class="k">as</span> <span class="n">pa</span>
+
+<span class="n">buf</span> <span class="o">=</span> <span
class="n">io</span><span class="p">.</span><span class="nc">BytesIO</span><span
class="p">()</span>
+<span class="n">batch</span> <span class="o">=</span> <span
class="n">pa</span><span class="p">.</span><span
class="nf">record_batch</span><span class="p">({</span><span
class="sh">"</span><span class="s">x</span><span class="sh">"</span><span
class="p">:</span> <span class="nf">range</span><span class="p">(</span><span
class="mi">1000</span><span class="p">)})</span>
+<span class="k">with</span> <span class="n">pa</span><span
class="p">.</span><span class="n">ipc</span><span class="p">.</span><span
class="nf">new_stream</span><span class="p">(</span><span
class="n">buf</span><span class="p">,</span> <span class="n">batch</span><span
class="p">.</span><span class="n">schema</span><span class="p">,</span> <span
class="n">options</span><span class="o">=</span><span class="n">pa</span><span
class="p">.</span><span class="n">ipc</span><span class="p">.</sp [...]
+ <span class="n">w</span><span class="p">.</span><span
class="nf">write_batch</span><span class="p">(</span><span
class="n">batch</span><span class="p">)</span>
+
+<span class="n">buf</span><span class="p">.</span><span
class="nf">seek</span><span class="p">(</span><span class="mi">0</span><span
class="p">)</span>
+<span class="n">na</span><span class="p">.</span><span
class="n">ArrayStream</span><span class="p">.</span><span
class="nf">from_readable</span><span class="p">(</span><span
class="n">buf</span><span class="p">).</span><span
class="nf">read_all</span><span class="p">()</span>
+<span class="c1"># nanoarrow.Array<non-nullable struct<x:
int64>>[1000]
+# {'x': 0}
+# {'x': 1}
+# {'x': 2}
+# {'x': 3}
+# {'x': 4}
+# {'x': 5}
+# {'x': 6}
+# {'x': 7}
+# {'x': 8}
+# {'x': 9}
+# ...and 990 more items
+</span></code></pre></div></div>
+<div class="language-r highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="r"><span class="n">library</span><span
class="p">(</span><span class="n">nanoarrow</span><span class="p">)</span><span
class="w">
+</span><span class="n">library</span><span class="p">(</span><span
class="n">reticulate</span><span class="p">)</span><span class="w">
+
+</span><span class="c1"># IPC Write with compression not available in
arrow/R</span><span class="w">
+</span><span class="n">pa</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span
class="n">reticulate</span><span class="o">::</span><span
class="n">import</span><span class="p">(</span><span
class="s2">"pyarrow"</span><span class="p">)</span><span class="w">
+</span><span class="n">io</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span
class="n">reticulate</span><span class="o">::</span><span
class="n">import</span><span class="p">(</span><span
class="s2">"io"</span><span class="p">)</span><span class="w">
+
+</span><span class="n">buf</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">io</span><span
class="o">$</span><span class="n">BytesIO</span><span class="p">()</span><span
class="w">
+</span><span class="n">batch</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">arrow</span><span
class="o">::</span><span class="n">record_batch</span><span
class="p">(</span><span class="n">x</span><span class="w"> </span><span
class="o">=</span><span class="w"> </span><span class="m">1</span><span
class="o">:</span><span class="m">1000</span><span class="p">)</span><span
class="w">
+</span><span class="n">writer</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">pa</span><span
class="o">$</span><span class="n">ipc</span><span class="o">$</span><span
class="n">new_stream</span><span class="p">(</span><span
class="n">buf</span><span class="p">,</span><span class="w"> </span><span
class="n">batch</span><span class="o">$</span><span
class="n">schema</span><span class="p">,</span><span class="w"> </span><span
class="n">optio [...]
+</span><span class="n">writer</span><span class="o">$</span><span
class="n">write_batch</span><span class="p">(</span><span
class="n">batch</span><span class="p">)</span><span class="w">
+</span><span class="n">writer</span><span class="o">$</span><span
class="n">close</span><span class="p">()</span><span class="w">
+
+</span><span class="n">nanoarrow</span><span class="o">::</span><span
class="n">read_nanoarrow</span><span class="p">(</span><span
class="nf">as.raw</span><span class="p">(</span><span class="n">buf</span><span
class="o">$</span><span class="n">getvalue</span><span
class="p">()))</span><span class="w"> </span><span class="o">|></span><span
class="w">
+ </span><span class="n">tibble</span><span class="o">::</span><span
class="n">as_tibble</span><span class="p">()</span><span class="w">
+</span><span class="c1">#> # A tibble: 1,000 × 1</span><span class="w">
+</span><span class="c1">#> x</span><span class="w">
+</span><span class="c1">#> <int></span><span class="w">
+</span><span class="c1">#> 1 1</span><span class="w">
+</span><span class="c1">#> 2 2</span><span class="w">
+</span><span class="c1">#> 3 3</span><span class="w">
+</span><span class="c1">#> 4 4</span><span class="w">
+</span><span class="c1">#> 5 5</span><span class="w">
+</span><span class="c1">#> 6 6</span><span class="w">
+</span><span class="c1">#> 7 7</span><span class="w">
+</span><span class="c1">#> 8 8</span><span class="w">
+</span><span class="c1">#> 9 9</span><span class="w">
+</span><span class="c1">#> 10 10</span><span class="w">
+</span><span class="c1">#> # ℹ 990 more rows</span><span class="w">
+</span></code></pre></div></div>
+<h2>Contributors</h2>
+<p>This release consists of contributions from 5 contributors in addition
+to the invaluable advice and support of the Apache Arrow community.</p>
+<div class="language-console highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="console"><span class="gp">$</span><span
class="w"> </span>git shortlog <span class="nt">-sn</span>
apache-arrow-nanoarrow-0.9.0.dev..apache-arrow-nanoarrow-0.9.0
+<span class="go"> 36 Dewey Dunnington
+ 2 Andrew Kane
+ 2 Bryce Mecum
+ 1 Michael Osipov
+ 1 Oliver Borchert
+</span></code></pre></div></div>
+
+ </main>
+ </div>
+
+ <hr>
+<footer class="footer">
+ <div class="row">
+ <div class="col-md-9">
+ <p>Apache Arrow, Arrow, Apache, the Apache logo, and the Apache Arrow
project logo are either registered trademarks or trademarks of The Apache
Software Foundation in the United States and other countries.</p>
+ <p>© 2016-2026 The Apache Software Foundation</p>
+ </div>
+ <div class="col-md-3">
+ <a class="d-sm-none d-md-inline pr-2"
href="https://www.apache.org/events/current-event.html"; target="_blank"
rel="noopener">
+ <img src="https://www.apache.org/events/current-event-234x60.png";>
+ </a>
+ </div>
+ </div>
+</footer>
+
+ </div>
+</body>
+</html>
diff --git a/blog/index.html b/blog/index.html
index 346a08b03bb..c95250e8b33 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -248,6 +248,33 @@
+ <p>
+ </p>
+<h3>
+ <a href="/blog/2026/08/14/nanoarrow-0.9.0-release/">Apache Arrow
nanoarrow 0.9.0 Release</a>
+ </h3>
+
+ <p>
+ <span class="blog-list-date">
+ 14 August 2026
+ </span>
+ </p>
+
+The Apache Arrow team is pleased to announce the 0.9.0 release of
+Apache Arrow nanoarrow. This release consists of 38 resolved GitHub issues from
+5 contributors.
+Release Highlights
+In addition to a number of bugfixes and minor build system improvements, we
+added several new features in nanoarrow 0.9.0.
+
+Dictionary decoding support in IPC reader...
+
+ <a href="/blog/2026/08/14/nanoarrow-0.9.0-release/">Read More →</a>
+
+
+
+
+
<p>
</p>
<h3>
diff --git a/feed.xml b/feed.xml
index d2038384112..8ad4a3aa23a 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1,4 +1,117 @@
-<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.4.1">Jekyll</generator><link
href="https://arrow.apache.org/feed.xml"; rel="self" type="application/atom+xml"
/><link href="https://arrow.apache.org/"; rel="alternate" type="text/html"
/><updated>2026-08-14T15:15:07-04:00</updated><id>https://arrow.apache.org/feed.xml</id><title
type="html">Apache Arrow</title><subtitle>Apache Arrow is the universal
columnar fo [...]
+<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.4.1">Jekyll</generator><link
href="https://arrow.apache.org/feed.xml"; rel="self" type="application/atom+xml"
/><link href="https://arrow.apache.org/"; rel="alternate" type="text/html"
/><updated>2026-08-14T23:31:26-04:00</updated><id>https://arrow.apache.org/feed.xml</id><title
type="html">Apache Arrow</title><subtitle>Apache Arrow is the universal
columnar fo [...]
+
+-->
+<p>The Apache Arrow team is pleased to announce the 0.9.0 release of
+Apache Arrow nanoarrow. This release consists of 38 resolved GitHub issues from
+5 contributors.</p>
+<h2>Release Highlights</h2>
+<p>In addition to a number of bugfixes and minor build system improvements, we
+added several new features in nanoarrow 0.9.0.</p>
+<ul>
+<li>Dictionary decoding support in IPC reader</li>
+<li>Reference-counted array/buffer support</li>
+<li>LZ4 decompression support in R and Python bindings</li>
+</ul>
+<p>See the
+<a
href="https://github.com/apache/arrow-nanoarrow/blob/apache-arrow-nanoarrow-0.9.0/CHANGELOG.md";>Changelog</a>
+for a detailed list of contributions to this release.</p>
+<h2>Features</h2>
+<h3>Dictionary decode support</h3>
+<p>Whereas the nanoarrow IPC reader suppports most Arrow IPC features,
dictionary support
+was a long requested gap in the reader functionality (mostly requested by
users of
+the <a href="https://github.com/paleolimbot/duckdb-nanoarrow";>DuckDB nanoarrow
extension</a>, which uses nanoarrow's reader). Dictionary encoding is used to
reduce the size of frequently
+repeated values and is the serialized equivalent of the "dictionary"
data type that
+is exposed in most Arrow implementations.</p>
+<p>In nanoarrow 0.9.0 built with the IPC feature enabled, streams that include
the most
+common forms of dictionary encoding (i.e., dictionary replacement) should now
work
+out of the box. This includes nested/complex dictionary types and dictionary
+replacement but does not include "delta" dictionaries (i.e.,
dictionaires that
+grow larger as more values are encountered in the encoded values).</p>
+<p>In R this is accessible via <code>read_nanoarrow()</code>; in Python this
is accessible via
+<code>nanoarrow.ArrayStream.from_readable()</code>; in C this is available via
the
+higher level <code>ArrowIpcArrayStreamReader</code> API. Lower level users of
the
+<code>ArrowIpcDecoder</code> will have to update existing usage to use the
+<code>ArrowIpcDecoder...WithDictionaries()</code> variants of some functions
+to support input with dictionary schemas or batches.</p>
+<h3>Reference-counted array/buffer support</h3>
+<p>In previous versions (since the introduction of the IPC reader), the
+<code>ArrowIpcSharedBuffer</code> has supported reading IPC streams and
sharing an
+underlying set of data buffers for a group of arrays; however, this wasn't
+quite sufficient for the more complex case of decoding a dictionary and
+attaching cheaply-cloned shared "values" arrays for potentially many
batches.
+Version 0.9.0 moves this functionality to the <code>ArrowSharedBuffer</code>
and expands it
+to support moving all of an array's buffers into a shared state that can be
+more cheaply cloned.</p>
+<h3>LZ4 decompression support in R and Python</h3>
+<p>While LZ4 decompression support was has long been available via the
pluggable decoder
+framework (and available since 0.8.0 as a built-in compile time option),
reading
+IPC streams with LZ4 buffer compression was not possible in the R or Python
bindings.
+In 0.9.0, the requisite configuration options were added such that the
packages are
+built with LZ4 when it is available on the system.</p>
+<div class="language-python highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="python"><span class="kn">import</span> <span
class="n">io</span>
+<span class="kn">import</span> <span class="n">nanoarrow</span> <span
class="k">as</span> <span class="n">na</span>
+<span class="kn">import</span> <span class="n">pyarrow</span> <span
class="k">as</span> <span class="n">pa</span>
+
+<span class="n">buf</span> <span class="o">=</span> <span
class="n">io</span><span class="p">.</span><span class="nc">BytesIO</span><span
class="p">()</span>
+<span class="n">batch</span> <span class="o">=</span> <span
class="n">pa</span><span class="p">.</span><span
class="nf">record_batch</span><span class="p">({</span><span
class="sh">"</span><span class="s">x</span><span class="sh">"</span><span
class="p">:</span> <span class="nf">range</span><span class="p">(</span><span
class="mi">1000</span><span class="p">)})</span>
+<span class="k">with</span> <span class="n">pa</span><span
class="p">.</span><span class="n">ipc</span><span class="p">.</span><span
class="nf">new_stream</span><span class="p">(</span><span
class="n">buf</span><span class="p">,</span> <span class="n">batch</span><span
class="p">.</span><span class="n">schema</span><span class="p">,</span> <span
class="n">options</span><span class="o">=</span><span class="n">pa</span><span
class="p">.</span><span class="n">ipc</span><span class="p">.</sp [...]
+ <span class="n">w</span><span class="p">.</span><span
class="nf">write_batch</span><span class="p">(</span><span
class="n">batch</span><span class="p">)</span>
+
+<span class="n">buf</span><span class="p">.</span><span
class="nf">seek</span><span class="p">(</span><span class="mi">0</span><span
class="p">)</span>
+<span class="n">na</span><span class="p">.</span><span
class="n">ArrayStream</span><span class="p">.</span><span
class="nf">from_readable</span><span class="p">(</span><span
class="n">buf</span><span class="p">).</span><span
class="nf">read_all</span><span class="p">()</span>
+<span class="c1"># nanoarrow.Array<non-nullable struct<x:
int64>>[1000]
+# {'x': 0}
+# {'x': 1}
+# {'x': 2}
+# {'x': 3}
+# {'x': 4}
+# {'x': 5}
+# {'x': 6}
+# {'x': 7}
+# {'x': 8}
+# {'x': 9}
+# ...and 990 more items
+</span></code></pre></div></div>
+<div class="language-r highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="r"><span class="n">library</span><span
class="p">(</span><span class="n">nanoarrow</span><span class="p">)</span><span
class="w">
+</span><span class="n">library</span><span class="p">(</span><span
class="n">reticulate</span><span class="p">)</span><span class="w">
+
+</span><span class="c1"># IPC Write with compression not available in
arrow/R</span><span class="w">
+</span><span class="n">pa</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span
class="n">reticulate</span><span class="o">::</span><span
class="n">import</span><span class="p">(</span><span
class="s2">"pyarrow"</span><span class="p">)</span><span class="w">
+</span><span class="n">io</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span
class="n">reticulate</span><span class="o">::</span><span
class="n">import</span><span class="p">(</span><span
class="s2">"io"</span><span class="p">)</span><span class="w">
+
+</span><span class="n">buf</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">io</span><span
class="o">$</span><span class="n">BytesIO</span><span class="p">()</span><span
class="w">
+</span><span class="n">batch</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">arrow</span><span
class="o">::</span><span class="n">record_batch</span><span
class="p">(</span><span class="n">x</span><span class="w"> </span><span
class="o">=</span><span class="w"> </span><span class="m">1</span><span
class="o">:</span><span class="m">1000</span><span class="p">)</span><span
class="w">
+</span><span class="n">writer</span><span class="w"> </span><span
class="o"><-</span><span class="w"> </span><span class="n">pa</span><span
class="o">$</span><span class="n">ipc</span><span class="o">$</span><span
class="n">new_stream</span><span class="p">(</span><span
class="n">buf</span><span class="p">,</span><span class="w"> </span><span
class="n">batch</span><span class="o">$</span><span
class="n">schema</span><span class="p">,</span><span class="w"> </span><span
class="n">optio [...]
+</span><span class="n">writer</span><span class="o">$</span><span
class="n">write_batch</span><span class="p">(</span><span
class="n">batch</span><span class="p">)</span><span class="w">
+</span><span class="n">writer</span><span class="o">$</span><span
class="n">close</span><span class="p">()</span><span class="w">
+
+</span><span class="n">nanoarrow</span><span class="o">::</span><span
class="n">read_nanoarrow</span><span class="p">(</span><span
class="nf">as.raw</span><span class="p">(</span><span class="n">buf</span><span
class="o">$</span><span class="n">getvalue</span><span
class="p">()))</span><span class="w"> </span><span class="o">|></span><span
class="w">
+ </span><span class="n">tibble</span><span class="o">::</span><span
class="n">as_tibble</span><span class="p">()</span><span class="w">
+</span><span class="c1">#> # A tibble: 1,000 × 1</span><span class="w">
+</span><span class="c1">#> x</span><span class="w">
+</span><span class="c1">#> <int></span><span class="w">
+</span><span class="c1">#> 1 1</span><span class="w">
+</span><span class="c1">#> 2 2</span><span class="w">
+</span><span class="c1">#> 3 3</span><span class="w">
+</span><span class="c1">#> 4 4</span><span class="w">
+</span><span class="c1">#> 5 5</span><span class="w">
+</span><span class="c1">#> 6 6</span><span class="w">
+</span><span class="c1">#> 7 7</span><span class="w">
+</span><span class="c1">#> 8 8</span><span class="w">
+</span><span class="c1">#> 9 9</span><span class="w">
+</span><span class="c1">#> 10 10</span><span class="w">
+</span><span class="c1">#> # ℹ 990 more rows</span><span class="w">
+</span></code></pre></div></div>
+<h2>Contributors</h2>
+<p>This release consists of contributions from 5 contributors in addition
+to the invaluable advice and support of the Apache Arrow community.</p>
+<div class="language-console highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="console"><span class="gp">$</span><span
class="w"> </span>git shortlog <span class="nt">-sn</span>
apache-arrow-nanoarrow-0.9.0.dev..apache-arrow-nanoarrow-0.9.0
+<span class="go"> 36 Dewey Dunnington
+ 2 Andrew Kane
+ 2 Bryce Mecum
+ 1 Michael Osipov
+ 1 Oliver Borchert
+</span></code></pre></div></div>]]></content><author><name>pmc</name></author><category
term="release" /><summary type="html"><![CDATA[The Apache Arrow team is
pleased to announce the 0.9.0 release of Apache Arrow nanoarrow. This release
consists of 38 resolved GitHub issues from 5 contributors. Release Highlights
In addition to a number of bugfixes and minor build system improvements, we
added several new features in nanoarrow 0.9.0. Dictionary decoding support in
IPC reader Reference-c [...]
-->
<p>The Apache Arrow team is pleased to announce the 25.0.1 release.
@@ -1374,46 +1487,4 @@ number of bigger contributions in the past year.</p>
<li>GH-301: [Vector] Allow adding a vector at the end of VectorSchemaRoot by
@axreldable in <a
href="https://github.com/apache/arrow-java/pull/1013";>#1013</a></li>
<li>GH-552: [Vector] Add absent methods to the UnionFixedSizeListWriter by
@axreldable in <a
href="https://github.com/apache/arrow-java/pull/1052";>#1052</a></li>
</ul>
-<p><strong>Full Changelog</strong>: <a
href="https://github.com/apache/arrow-java/commits/v19.0.0";>changelog</a></p>]]></content><author><name>pmc</name></author><category
term="release" /><summary type="html"><![CDATA[The Apache Arrow team is
pleased to announce the v19.0.0 release of Apache Arrow Java. Changelog What's
Changed Breaking Changes GH-774: Consoliate
BitVectorHelper.getValidityBufferSize and
BaseValueVector.getValidityBufferSizeFromCount by @rtadepalli in #775 GH-586:
Overr [...]
-
--->
-<p>The Apache Arrow team is pleased to announce the v18.5.2 release of Apache
Arrow Go.
-This patch release covers 16 commits from 6 distinct contributors.</p>
-<h2>Contributors</h2>
-<div class="language-console highlighter-rouge"><div class="highlight"><pre
class="highlight"><code data-lang="console"><span class="gp">$</span><span
class="w"> </span>git shortlog <span class="nt">-sn</span> v18.5.1..v18.5.2
-<span class="go"> 11 Matt Topol
- 2 daniel-adam-tfs
- 1 Evan Todd
- 1 Rusty Conover
- 1 Stas Spiridonov
- 1 William
-</span></code></pre></div></div>
-<h2>Changelog</h2>
-<h3>What's Changed</h3>
-<ul>
-<li>chore: bump parquet-testing submodule by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/633";>#633</a></li>
-<li>fix(arrow/array): handle empty binary values correctly in BinaryBuilder by
@zeroshade in <a
href="https://github.com/apache/arrow-go/pull/634";>#634</a></li>
-<li>test(arrow/array): add test to binary builder by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/636";>#636</a></li>
-<li>fix(parquet): decryption of V2 data pages by @daniel-adam-tfs in <a
href="https://github.com/apache/arrow-go/pull/596";>#596</a></li>
-<li>perf(arrow): Reduce the amount of allocated objects by @spiridonov in <a
href="https://github.com/apache/arrow-go/pull/645";>#645</a></li>
-<li>fix(parquet/file): regression with decompressing data by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/652";>#652</a></li>
-<li>fix(arrow/compute): take on record/array with nested struct by @zeroshade
in <a href="https://github.com/apache/arrow-go/pull/653";>#653</a></li>
-<li>fix(parquet/file): write large string values by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/655";>#655</a></li>
-<li>ci: ensure extra GC cycle for flaky tests by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/661";>#661</a></li>
-<li>fix(arrow/array): handle exponent notation for unmarshal int by @zeroshade
in <a href="https://github.com/apache/arrow-go/pull/662";>#662</a></li>
-<li>fix(flight/flightsql/driver): fix <code>time.Time</code> params by @etodd
in <a href="https://github.com/apache/arrow-go/pull/666";>#666</a></li>
-<li>fix(parquet): bss encoding and tests on big endian systems by
@daniel-adam-tfs in <a
href="https://github.com/apache/arrow-go/pull/663";>#663</a></li>
-<li>fix(parquet/pqarrow): selective column reading of complex map column by
@zeroshade in <a
href="https://github.com/apache/arrow-go/pull/668";>#668</a></li>
-<li>feat(arrow/ipc): support custom_metadata on RecordBatch messages by
@rustyconover in <a
href="https://github.com/apache/arrow-go/pull/669";>#669</a></li>
-<li>feat: Support setting IPC options in FlightSQL call options by @peasee in
<a href="https://github.com/apache/arrow-go/pull/674";>#674</a></li>
-<li>chore(dev/release): embed hash of source tarball into email by @zeroshade
in <a href="https://github.com/apache/arrow-go/pull/675";>#675</a></li>
-<li>chore(arrow): bump PkgVersion to 18.5.2 by @zeroshade in <a
href="https://github.com/apache/arrow-go/pull/676";>#676</a></li>
-</ul>
-<h3>New Contributors</h3>
-<ul>
-<li>@spiridonov made their first contribution in <a
href="https://github.com/apache/arrow-go/pull/645";>#645</a></li>
-<li>@etodd made their first contribution in <a
href="https://github.com/apache/arrow-go/pull/666";>#666</a></li>
-<li>@rustyconover made their first contribution in <a
href="https://github.com/apache/arrow-go/pull/669";>#669</a></li>
-<li>@peasee made their first contribution in <a
href="https://github.com/apache/arrow-go/pull/674";>#674</a></li>
-</ul>
-<p><strong>Full Changelog</strong>: <a
href="https://github.com/apache/arrow-go/compare/v18.5.1...v18.5.2";>https://github.com/apache/arrow-go/compare/v18.5.1...v18.5.2</a></p>]]></content><author><name>pmc</name></author><category
term="release" /><summary type="html"><![CDATA[The Apache Arrow team is
pleased to announce the v18.5.2 release of Apache Arrow Go. This patch release
covers 16 commits from 6 distinct contributors. Contributors $ git shortlog -sn
v18.5.1..v18.5.2 11 Matt Topol [...]
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+<p><strong>Full Changelog</strong>: <a
href="https://github.com/apache/arrow-java/commits/v19.0.0";>changelog</a></p>]]></content><author><name>pmc</name></author><category
term="release" /><summary type="html"><![CDATA[The Apache Arrow team is
pleased to announce the v19.0.0 release of Apache Arrow Java. Changelog What's
Changed Breaking Changes GH-774: Consoliate
BitVectorHelper.getValidityBufferSize and
BaseValueVector.getValidityBufferSizeFromCount by @rtadepalli in #775 GH-586:
Overr [...]
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Arrow Releases Navigate to the release page for downloads and the changelog.
25.0.1 (10 August 2026) 25.0.0 (10 July 2026) 24.0.0 (21 April 2026) 23.0.1 (16
February 2026) 23.0.0 (18 January 2026) 22.0.0 (24 October 2025) 21.0.0 (17
July 2025) 20.0.0 (27 April 2025) 19.0.1 (16 February 2025) 19.0.0 (16 January
2025) 18.1.0 (24 [...]
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Arrow Releases Navigate to the release page for downloads and the changelog.
25.0.1 (10 August 2026) 25.0.0 (10 July 2026) 24.0.0 (21 April 2026) 23.0.1 (16
February 2026) 23.0.0 (18 January 2026) 22.0.0 (24 October 2025) 21.0.0 (17
July 2025) 20.0.0 (27 April 2025) 19.0.1 (16 February 2025) 19.0.0 (16 January
2025) 18.1.0 (24 [...]
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