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Posted to commits@arrow.apache.org by gi...@apache.org on 2022/02/28 14:21:05 UTC

[arrow-site] branch asf-site updated: Updating built site (build cc0b0b8521ba11189d0118be7de3d99d5915eb1b)

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github-bot pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
     new bfdb1d3  Updating built site (build cc0b0b8521ba11189d0118be7de3d99d5915eb1b)
bfdb1d3 is described below

commit bfdb1d3c997f4276ea5b81557e5556b8b0e993d9
Author: Matthew Turner <ma...@outlook.com>
AuthorDate: Mon Feb 28 14:21:01 2022 +0000

    Updating built site (build cc0b0b8521ba11189d0118be7de3d99d5915eb1b)
---
 blog/2022/02/28/datafusion-7.0.0/index.html | 446 ++++++++++++++++++++++++++
 blog/index.html                             |  15 +
 docs/c_glib/index.html                      |   4 +-
 feed.xml                                    | 471 +++++++++++-----------------
 release/0.1.0.html                          |   4 +-
 release/0.10.0.html                         |   4 +-
 release/0.11.0.html                         |   4 +-
 release/0.11.1.html                         |   4 +-
 release/0.12.0.html                         |   4 +-
 release/0.13.0.html                         |   4 +-
 release/0.14.0.html                         |   4 +-
 release/0.14.1.html                         |   4 +-
 release/0.15.0.html                         |   4 +-
 release/0.15.1.html                         |   4 +-
 release/0.16.0.html                         |   4 +-
 release/0.17.0.html                         |   4 +-
 release/0.17.1.html                         |   4 +-
 release/0.2.0.html                          |   4 +-
 release/0.3.0.html                          |   4 +-
 release/0.4.0.html                          |   4 +-
 release/0.4.1.html                          |   4 +-
 release/0.5.0.html                          |   4 +-
 release/0.6.0.html                          |   4 +-
 release/0.7.0.html                          |   4 +-
 release/0.7.1.html                          |   4 +-
 release/0.8.0.html                          |   4 +-
 release/0.9.0.html                          |   4 +-
 release/1.0.0.html                          |   4 +-
 release/1.0.1.html                          |   4 +-
 release/2.0.0.html                          |   4 +-
 release/3.0.0.html                          |   4 +-
 release/4.0.0.html                          |   4 +-
 release/4.0.1.html                          |   4 +-
 release/5.0.0.html                          |   4 +-
 release/6.0.0.html                          |   4 +-
 release/6.0.1.html                          |   4 +-
 release/7.0.0.html                          |   4 +-
 release/index.html                          |   4 +-
 38 files changed, 711 insertions(+), 361 deletions(-)

diff --git a/blog/2022/02/28/datafusion-7.0.0/index.html b/blog/2022/02/28/datafusion-7.0.0/index.html
new file mode 100644
index 0000000..f0b422c
--- /dev/null
+++ b/blog/2022/02/28/datafusion-7.0.0/index.html
@@ -0,0 +1,446 @@
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+<meta name="description" content="Introduction DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format. When you want to extend your Rust project with SQL support, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out. DataFusion’s SQL, DataFrame, and manual PlanBuilder API let users access a sophisticated query optimizer and execution engine capable o [...]
+<meta property="og:description" content="Introduction DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format. When you want to extend your Rust project with SQL support, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out. DataFusion’s SQL, DataFrame, and manual PlanBuilder API let users access a sophisticated query optimizer and execution engine ca [...]
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+<h1>
+  Apache Arrow DataFusion 7.0.0 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">
+    28 Feb 2022
+  </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>
+
+
+        <!--
+
+-->
+
+<h1 id="introduction">Introduction</h1>
+
+<p><a href="https://arrow.apache.org/datafusion/">DataFusion</a> is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.</p>
+
+<p>When you want to extend your Rust project with <a href="https://arrow.apache.org/datafusion/user-guide/sql/sql_status.html">SQL support</a>, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out.</p>
+
+<p>DataFusion’s  SQL, <code class="language-plaintext highlighter-rouge">DataFrame</code>, and manual <code class="language-plaintext highlighter-rouge">PlanBuilder</code> API let users access a sophisticated query optimizer and execution engine capable of fast, resource efficient, and parallel execution that takes optimal advantage of todays multicore hardware. Being written in Rust means DataFusion can offer <em>both</em> the safety of dynamic languages as well as the resource efficien [...]
+
+<p>The Apache Arrow team is pleased to announce the DataFusion 7.0.0 release. This covers 4 months of development work
+and includes 195 commits from the following 37 distinct contributors.</p>
+
+<!--
+git log --pretty=oneline 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+     134
+
+git shortlog -sn 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+      29
+
+      Carlos and xudong963 are same individual
+-->
+
+<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>    44  Andrew Lamb
+    24  Kun Liu
+    23  Jiayu Liu
+    17  xudong.w
+    11  Yijie Shen
+     9  Matthew Turner
+     7  Liang-Chi Hsieh
+     5  Lin Ma
+     4  Stephen Carman
+     4  James Katz
+     4  Dmitry Patsura
+     4  QP Hou
+     3  dependabot[bot]
+     3  Remzi Yang
+     3  Yang
+     3  ic4y
+     3  Daniël Heres
+     2  Andy Grove
+     2  Raphael Taylor-Davies
+     2  Jason Tianyi Wang
+     2  Dan Harris
+     2  Sergey Melnychuk
+     1  Nitish Tiwari
+     1  Dom
+     1  Eduard Karacharov
+     1  Javier Goday
+     1  Boaz
+     1  Marko Mikulicic
+     1  Max Burke
+     1  Carol (Nichols || Goulding)
+     1  Phillip Cloud
+     1  Rich
+     1  Toby Hede
+     1  Will Jones
+     1  r.4ntix
+     1  rdettai
+</code></pre></div></div>
+
+<p>The following section highlights some of the improvements in this release. Of course, many other bug fixes and improvements have also been made and we refer you to the complete <a href="https://github.com/apache/arrow-datafusion/blob/7.0.0/datafusion/CHANGELOG.md">changelog</a> for the full detail.</p>
+
+<h1 id="summary">Summary</h1>
+
+<ul>
+  <li>DataFusion Crate
+    <ul>
+      <li>The DataFusion crate is being split into multiple crates to decrease compilation times and improve the development experience. Initially, <code class="language-plaintext highlighter-rouge">datafusion-common</code> (the core DataFusion components) and <code class="language-plaintext highlighter-rouge">datafusion-expr</code> (DataFusion expressions, functions, and operators) have been split out. There will be additional splits after the 7.0 release.</li>
+    </ul>
+  </li>
+  <li>Performance Improvements and Optimizations
+    <ul>
+      <li>Arrow’s dyn scalar kernels are now used to enable efficient operations on <code class="language-plaintext highlighter-rouge">DictionaryArray</code>s <a href="https://github.com/apache/arrow-datafusion/pull/1685">#1685</a></li>
+      <li>Switch from <code class="language-plaintext highlighter-rouge">std::sync::Mutex</code> to <code class="language-plaintext highlighter-rouge">parking_lot::Mutex</code> <a href="https://github.com/apache/arrow-datafusion/pull/1720">#1720</a></li>
+    </ul>
+  </li>
+  <li>New Features
+    <ul>
+      <li>Support for memory tracking and spilling to disk
+        <ul>
+          <li>MemoryMananger and DiskManager <a href="https://github.com/apache/arrow-datafusion/pull/1526">#1526</a></li>
+          <li>Out of core sort <a href="https://github.com/apache/arrow-datafusion/pull/1526">#1526</a></li>
+          <li>New metrics
+            <ul>
+              <li><code class="language-plaintext highlighter-rouge">Gauge</code> and <code class="language-plaintext highlighter-rouge">CurrentMemoryUsage</code> <a href="https://github.com/apache/arrow-datafusion/pull/1682">#1682</a></li>
+              <li><code class="language-plaintext highlighter-rouge">Spill_count</code> and <code class="language-plaintext highlighter-rouge">spilled_bytes</code> <a href="https://github.com/apache/arrow-datafusion/pull/1641">#1641</a></li>
+            </ul>
+          </li>
+        </ul>
+      </li>
+      <li>New math functions
+        <ul>
+          <li><code class="language-plaintext highlighter-rouge">Approx_quantile</code> <a href="https://github.com/apache/arrow-datafusion/pull/1539">#1529</a></li>
+          <li><code class="language-plaintext highlighter-rouge">stddev</code> and <code class="language-plaintext highlighter-rouge">variance</code> (sample and population) <a href="https://github.com/apache/arrow-datafusion/pull/1525">#1525</a></li>
+          <li><code class="language-plaintext highlighter-rouge">corr</code> <a href="https://github.com/apache/arrow-datafusion/pull/1561">#1561</a></li>
+        </ul>
+      </li>
+      <li>Support decimal type <a href="https://github.com/apache/arrow-datafusion/pull/1394">#1394</a><a href="https://github.com/apache/arrow-datafusion/pull/1407">#1407</a><a href="https://github.com/apache/arrow-datafusion/pull/1408">#1408</a><a href="https://github.com/apache/arrow-datafusion/pull/1431">#1431</a><a href="https://github.com/apache/arrow-datafusion/pull/1483">#1483</a><a href="https://github.com/apache/arrow-datafusion/pull/1554">#1554</a><a href="https://github.com/a [...]
+      <li>Support for reading Parquet files with evolved schemas <a href="https://github.com/apache/arrow-datafusion/pull/1622">#1622</a><a href="https://github.com/apache/arrow-datafusion/pull/1709">#1709</a></li>
+      <li>Support for registering <code class="language-plaintext highlighter-rouge">DataFrame</code> as table <a href="https://github.com/apache/arrow-datafusion/pull/1699">#1699</a></li>
+      <li>Support for the <code class="language-plaintext highlighter-rouge">substring</code> function <a href="https://github.com/apache/arrow-datafusion/pull/1621">#1621</a></li>
+      <li>Support <code class="language-plaintext highlighter-rouge">array_agg(distinct ...)</code> <a href="https://github.com/apache/arrow-datafusion/pull/1579">#1579</a></li>
+      <li>Support <code class="language-plaintext highlighter-rouge">sort</code> on unprojected columns <a href="https://github.com/apache/arrow-datafusion/pull/1415">#1415</a></li>
+    </ul>
+  </li>
+  <li>Additional Integration Points
+    <ul>
+      <li>A new public Expression simplification API <a href="https://github.com/apache/arrow-datafusion/pull/1717">#1717</a></li>
+    </ul>
+  </li>
+  <li><a href="https://github.com/datafusion-contrib">DataFusion-Contrib</a>
+    <ul>
+      <li>A new GitHub organization created as a home for both <code class="language-plaintext highlighter-rouge">DataFusion</code> extensions and as a testing ground for new features.
+        <ul>
+          <li>Extensions
+            <ul>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-python">DataFusion-Python</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-java">DataFusion-Java</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-hdfs-native">DataFusion-hdsfs-native</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-objectstore-s3">DataFusion-ObjectStore-s3</a></li>
+            </ul>
+          </li>
+          <li>New Features
+            <ul>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-streams">DataFusion-Streams</a></li>
+            </ul>
+          </li>
+        </ul>
+      </li>
+    </ul>
+  </li>
+  <li><a href="https://github.com/jorgecarleitao/arrow2">Arrow2</a>
+    <ul>
+      <li>An <a href="https://github.com/apache/arrow-datafusion/tree/arrow2">Arrow2 Branch</a> has been created.  There are ongoing discussions in <a href="https://github.com/apache/arrow-datafusion/issues/1532">DataFusion</a> and <a href="https://github.com/apache/arrow-rs/issues/1176">arrow-rs</a> about migrating <code class="language-plaintext highlighter-rouge">DataFusion</code> to <code class="language-plaintext highlighter-rouge">Arrow2</code></li>
+    </ul>
+  </li>
+</ul>
+
+<h1 id="documentation-and-roadmap">Documentation and Roadmap</h1>
+
+<p>We are working to consolidate the documentation into the <a href="https://arrow.apache.org/datafusion">official site</a>.  You can find more details there on topics such as the <a href="https://arrow.apache.org/datafusion/user-guide/sql/index.html">SQL status</a>  and a <a href="https://arrow.apache.org/datafusion/user-guide/introduction.html#introduction">user guide</a>. This is also an area we would love to get help from the broader community <a href="https://github.com/apache/arrow [...]
+
+<p>To provide transparency on DataFusion’s priorities to users and developers a three month roadmap will be published at the beginning of each quarter.  This can be found here <a href="https://arrow.apache.org/datafusion/specification/roadmap.html">here</a>.</p>
+
+<h1 id="upcoming-attractions">Upcoming Attractions</h1>
+
+<ul>
+  <li>Ballista is gaining momentum, and several groups are now evaluating and contributing to the project.
+    <ul>
+      <li>Some of the proposed improvements
+        <ul>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1701">Improvements Overview</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1675">Extensibility</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1702">File system access</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1704">Cluster state</a></li>
+        </ul>
+      </li>
+    </ul>
+  </li>
+  <li>Continued improvements for working with limited resources and large datasets
+    <ul>
+      <li>Memory limited joins<a href="https://github.com/apache/arrow-datafusion/issues/1599">#1599</a></li>
+      <li>Sort-merge join<a href="https://github.com/apache/arrow-datafusion/issues/141">#141</a><a href="https://github.com/apache/arrow-datafusion/pull/1776">#1776</a></li>
+      <li>Introduce row based bytes representation <a href="https://github.com/apache/arrow-datafusion/pull/1708">#1708</a></li>
+    </ul>
+  </li>
+</ul>
+
+<h1 id="how-to-get-involved">How to Get Involved</h1>
+
+<p>If you are interested in contributing to DataFusion, and learning about state of
+the art query processing, we would love to have you join us on the journey! You
+can help by trying out DataFusion on some of your own data and projects and let us know how it goes or contribute a PR with documentation, tests or code. A list of open issues suitable for beginners is <a href="https://github.com/apache/arrow-datafusion/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22">here</a></p>
+
+<p>Check out our new <a href="https://arrow.apache.org/datafusion/community/communication.html">Communication Doc</a> on more
+ways to engage with the community.</p>
+
+      </main>
+    </div>
+
+    <hr/>
+<footer class="footer">
+  <div class="row">
+    <div class="col-md-9">
+      <p>Apache Arrow, Arrow, Apache, the Apache feather 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>&copy; 2016-2022 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">
+        <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 05a836d..3f8da67 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -227,6 +227,21 @@
   
   <p>
     <h3>
+      <a href="/blog/2022/02/28/datafusion-7.0.0/">Apache Arrow DataFusion 7.0.0 Release</a>
+    </h3>
+    
+    <p>
+    <span class="blog-list-date">
+      28 February 2022
+    </span>
+    </p>
+    Introduction DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format. When you want to extend your Rust project with SQL support, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth...
+  </p>
+  
+
+  
+  <p>
+    <h3>
       <a href="/blog/2022/02/16/introducing-arrow-flight-sql/">Introducing Apache Arrow Flight SQL: Accelerating Database Access</a>
     </h3>
     
diff --git a/docs/c_glib/index.html b/docs/c_glib/index.html
index 6830fb3..dbb6c1c 100644
--- a/docs/c_glib/index.html
+++ b/docs/c_glib/index.html
@@ -20,13 +20,13 @@
 <meta property="og:site_name" content="Apache Arrow" />
 <meta property="og:image" content="https://arrow.apache.org/img/arrow-logo_horizontal_black-txt_white-bg.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2022-02-17T13:02:27-05:00" />
+<meta property="article:published_time" content="2022-02-28T09:20:22-05:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://arrow.apache.org/img/arrow-logo_horizontal_black-txt_white-bg.png" />
 <meta property="twitter:title" content="Apache Arrow GLib (C)" />
 <meta name="twitter:site" content="@ApacheArrow" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2022-02-17T13:02:27-05:00","datePublished":"2022-02-17T13:02:27-05:00","description":"Apache Arrow GLib (C) Apache Arrow GLib is a wrapper library for Apache Arrow C++. Apache Arrow GLib provides C API. Apache Arrow GLib supports GObject Introspection. It means that you can create language bindings at runtime or compile time automatically. API reference manuals Apache Arrow GLib Apache Parquet GLib Gandiva GLib Plasma [...]
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2022-02-28T09:20:22-05:00","datePublished":"2022-02-28T09:20:22-05:00","description":"Apache Arrow GLib (C) Apache Arrow GLib is a wrapper library for Apache Arrow C++. Apache Arrow GLib provides C API. Apache Arrow GLib supports GObject Introspection. It means that you can create language bindings at runtime or compile time automatically. API reference manuals Apache Arrow GLib Apache Parquet GLib Gandiva GLib Plasma [...]
 <!-- End Jekyll SEO tag -->
 
 
diff --git a/feed.xml b/feed.xml
index e2983b9..853d3a0 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1,4 +1,182 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.2.0">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>2022-02-17T13:02:27-05:00</updated><id>https://arrow.apache.org/feed.xml</id><title type="html">Apache Arrow</title><subtitle>Apache Arrow is a cross-language developm [...]
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.2.0">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>2022-02-28T09:20:22-05:00</updated><id>https://arrow.apache.org/feed.xml</id><title type="html">Apache Arrow</title><subtitle>Apache Arrow is a cross-language developm [...]
+
+-->
+
+<h1 id="introduction">Introduction</h1>
+
+<p><a href="https://arrow.apache.org/datafusion/">DataFusion</a> is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.</p>
+
+<p>When you want to extend your Rust project with <a href="https://arrow.apache.org/datafusion/user-guide/sql/sql_status.html">SQL support</a>, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out.</p>
+
+<p>DataFusion’s  SQL, <code class="language-plaintext highlighter-rouge">DataFrame</code>, and manual <code class="language-plaintext highlighter-rouge">PlanBuilder</code> API let users access a sophisticated query optimizer and execution engine capable of fast, resource efficient, and parallel execution that takes optimal advantage of todays multicore hardware. Being written in Rust means DataFusion can offer <em>both</em> the safety of dynamic languages as well as the resource efficien [...]
+
+<p>The Apache Arrow team is pleased to announce the DataFusion 7.0.0 release. This covers 4 months of development work
+and includes 195 commits from the following 37 distinct contributors.</p>
+
+<!--
+git log --pretty=oneline 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+     134
+
+git shortlog -sn 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+      29
+
+      Carlos and xudong963 are same individual
+-->
+
+<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>    44  Andrew Lamb
+    24  Kun Liu
+    23  Jiayu Liu
+    17  xudong.w
+    11  Yijie Shen
+     9  Matthew Turner
+     7  Liang-Chi Hsieh
+     5  Lin Ma
+     4  Stephen Carman
+     4  James Katz
+     4  Dmitry Patsura
+     4  QP Hou
+     3  dependabot[bot]
+     3  Remzi Yang
+     3  Yang
+     3  ic4y
+     3  Daniël Heres
+     2  Andy Grove
+     2  Raphael Taylor-Davies
+     2  Jason Tianyi Wang
+     2  Dan Harris
+     2  Sergey Melnychuk
+     1  Nitish Tiwari
+     1  Dom
+     1  Eduard Karacharov
+     1  Javier Goday
+     1  Boaz
+     1  Marko Mikulicic
+     1  Max Burke
+     1  Carol (Nichols || Goulding)
+     1  Phillip Cloud
+     1  Rich
+     1  Toby Hede
+     1  Will Jones
+     1  r.4ntix
+     1  rdettai
+</code></pre></div></div>
+
+<p>The following section highlights some of the improvements in this release. Of course, many other bug fixes and improvements have also been made and we refer you to the complete <a href="https://github.com/apache/arrow-datafusion/blob/7.0.0/datafusion/CHANGELOG.md">changelog</a> for the full detail.</p>
+
+<h1 id="summary">Summary</h1>
+
+<ul>
+  <li>DataFusion Crate
+    <ul>
+      <li>The DataFusion crate is being split into multiple crates to decrease compilation times and improve the development experience. Initially, <code class="language-plaintext highlighter-rouge">datafusion-common</code> (the core DataFusion components) and <code class="language-plaintext highlighter-rouge">datafusion-expr</code> (DataFusion expressions, functions, and operators) have been split out. There will be additional splits after the 7.0 release.</li>
+    </ul>
+  </li>
+  <li>Performance Improvements and Optimizations
+    <ul>
+      <li>Arrow’s dyn scalar kernels are now used to enable efficient operations on <code class="language-plaintext highlighter-rouge">DictionaryArray</code>s <a href="https://github.com/apache/arrow-datafusion/pull/1685">#1685</a></li>
+      <li>Switch from <code class="language-plaintext highlighter-rouge">std::sync::Mutex</code> to <code class="language-plaintext highlighter-rouge">parking_lot::Mutex</code> <a href="https://github.com/apache/arrow-datafusion/pull/1720">#1720</a></li>
+    </ul>
+  </li>
+  <li>New Features
+    <ul>
+      <li>Support for memory tracking and spilling to disk
+        <ul>
+          <li>MemoryMananger and DiskManager <a href="https://github.com/apache/arrow-datafusion/pull/1526">#1526</a></li>
+          <li>Out of core sort <a href="https://github.com/apache/arrow-datafusion/pull/1526">#1526</a></li>
+          <li>New metrics
+            <ul>
+              <li><code class="language-plaintext highlighter-rouge">Gauge</code> and <code class="language-plaintext highlighter-rouge">CurrentMemoryUsage</code> <a href="https://github.com/apache/arrow-datafusion/pull/1682">#1682</a></li>
+              <li><code class="language-plaintext highlighter-rouge">Spill_count</code> and <code class="language-plaintext highlighter-rouge">spilled_bytes</code> <a href="https://github.com/apache/arrow-datafusion/pull/1641">#1641</a></li>
+            </ul>
+          </li>
+        </ul>
+      </li>
+      <li>New math functions
+        <ul>
+          <li><code class="language-plaintext highlighter-rouge">Approx_quantile</code> <a href="https://github.com/apache/arrow-datafusion/pull/1539">#1529</a></li>
+          <li><code class="language-plaintext highlighter-rouge">stddev</code> and <code class="language-plaintext highlighter-rouge">variance</code> (sample and population) <a href="https://github.com/apache/arrow-datafusion/pull/1525">#1525</a></li>
+          <li><code class="language-plaintext highlighter-rouge">corr</code> <a href="https://github.com/apache/arrow-datafusion/pull/1561">#1561</a></li>
+        </ul>
+      </li>
+      <li>Support decimal type <a href="https://github.com/apache/arrow-datafusion/pull/1394">#1394</a><a href="https://github.com/apache/arrow-datafusion/pull/1407">#1407</a><a href="https://github.com/apache/arrow-datafusion/pull/1408">#1408</a><a href="https://github.com/apache/arrow-datafusion/pull/1431">#1431</a><a href="https://github.com/apache/arrow-datafusion/pull/1483">#1483</a><a href="https://github.com/apache/arrow-datafusion/pull/1554">#1554</a><a href="https://github.com/a [...]
+      <li>Support for reading Parquet files with evolved schemas <a href="https://github.com/apache/arrow-datafusion/pull/1622">#1622</a><a href="https://github.com/apache/arrow-datafusion/pull/1709">#1709</a></li>
+      <li>Support for registering <code class="language-plaintext highlighter-rouge">DataFrame</code> as table <a href="https://github.com/apache/arrow-datafusion/pull/1699">#1699</a></li>
+      <li>Support for the <code class="language-plaintext highlighter-rouge">substring</code> function <a href="https://github.com/apache/arrow-datafusion/pull/1621">#1621</a></li>
+      <li>Support <code class="language-plaintext highlighter-rouge">array_agg(distinct ...)</code> <a href="https://github.com/apache/arrow-datafusion/pull/1579">#1579</a></li>
+      <li>Support <code class="language-plaintext highlighter-rouge">sort</code> on unprojected columns <a href="https://github.com/apache/arrow-datafusion/pull/1415">#1415</a></li>
+    </ul>
+  </li>
+  <li>Additional Integration Points
+    <ul>
+      <li>A new public Expression simplification API <a href="https://github.com/apache/arrow-datafusion/pull/1717">#1717</a></li>
+    </ul>
+  </li>
+  <li><a href="https://github.com/datafusion-contrib">DataFusion-Contrib</a>
+    <ul>
+      <li>A new GitHub organization created as a home for both <code class="language-plaintext highlighter-rouge">DataFusion</code> extensions and as a testing ground for new features.
+        <ul>
+          <li>Extensions
+            <ul>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-python">DataFusion-Python</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-java">DataFusion-Java</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-hdfs-native">DataFusion-hdsfs-native</a></li>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-objectstore-s3">DataFusion-ObjectStore-s3</a></li>
+            </ul>
+          </li>
+          <li>New Features
+            <ul>
+              <li><a href="https://github.com/datafusion-contrib/datafusion-streams">DataFusion-Streams</a></li>
+            </ul>
+          </li>
+        </ul>
+      </li>
+    </ul>
+  </li>
+  <li><a href="https://github.com/jorgecarleitao/arrow2">Arrow2</a>
+    <ul>
+      <li>An <a href="https://github.com/apache/arrow-datafusion/tree/arrow2">Arrow2 Branch</a> has been created.  There are ongoing discussions in <a href="https://github.com/apache/arrow-datafusion/issues/1532">DataFusion</a> and <a href="https://github.com/apache/arrow-rs/issues/1176">arrow-rs</a> about migrating <code class="language-plaintext highlighter-rouge">DataFusion</code> to <code class="language-plaintext highlighter-rouge">Arrow2</code></li>
+    </ul>
+  </li>
+</ul>
+
+<h1 id="documentation-and-roadmap">Documentation and Roadmap</h1>
+
+<p>We are working to consolidate the documentation into the <a href="https://arrow.apache.org/datafusion">official site</a>.  You can find more details there on topics such as the <a href="https://arrow.apache.org/datafusion/user-guide/sql/index.html">SQL status</a>  and a <a href="https://arrow.apache.org/datafusion/user-guide/introduction.html#introduction">user guide</a>. This is also an area we would love to get help from the broader community <a href="https://github.com/apache/arrow [...]
+
+<p>To provide transparency on DataFusion’s priorities to users and developers a three month roadmap will be published at the beginning of each quarter.  This can be found here <a href="https://arrow.apache.org/datafusion/specification/roadmap.html">here</a>.</p>
+
+<h1 id="upcoming-attractions">Upcoming Attractions</h1>
+
+<ul>
+  <li>Ballista is gaining momentum, and several groups are now evaluating and contributing to the project.
+    <ul>
+      <li>Some of the proposed improvements
+        <ul>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1701">Improvements Overview</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1675">Extensibility</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1702">File system access</a></li>
+          <li><a href="https://github.com/apache/arrow-datafusion/issues/1704">Cluster state</a></li>
+        </ul>
+      </li>
+    </ul>
+  </li>
+  <li>Continued improvements for working with limited resources and large datasets
+    <ul>
+      <li>Memory limited joins<a href="https://github.com/apache/arrow-datafusion/issues/1599">#1599</a></li>
+      <li>Sort-merge join<a href="https://github.com/apache/arrow-datafusion/issues/141">#141</a><a href="https://github.com/apache/arrow-datafusion/pull/1776">#1776</a></li>
+      <li>Introduce row based bytes representation <a href="https://github.com/apache/arrow-datafusion/pull/1708">#1708</a></li>
+    </ul>
+  </li>
+</ul>
+
+<h1 id="how-to-get-involved">How to Get Involved</h1>
+
+<p>If you are interested in contributing to DataFusion, and learning about state of
+the art query processing, we would love to have you join us on the journey! You
+can help by trying out DataFusion on some of your own data and projects and let us know how it goes or contribute a PR with documentation, tests or code. A list of open issues suitable for beginners is <a href="https://github.com/apache/arrow-datafusion/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22">here</a></p>
+
+<p>Check out our new <a href="https://arrow.apache.org/datafusion/community/communication.html">Communication Doc</a> on more
+ways to engage with the community.</p>]]></content><author><name>pmc</name></author><category term="release" /><summary type="html"><![CDATA[Introduction DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format. When you want to extend your Rust project with SQL support, a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out. DataFusion’s SQL, DataFrame, [...]
 
 -->
 
@@ -1688,293 +1866,4 @@ The function <code class="language-plaintext highlighter-rouge">create_package_w
 <p>This is a significant milestone for Arrow, and the R package specifically, and there is much gratitude to go around. In the 6.0.0 release, there were 77 individuals who contributed to Arrow, many of whom did the heavy lifting in the C++ library to make the new dataset query features a reality. Specifically in the R package, we wanted to acknowledge Phillip Cloud, Dewey Dunnington, Dragoș Moldovan-Grünfeld, Matt Peterson, and Percy Camilo Triveño Aucahuasi for their
 their first contributions to the R package. And a special thanks goes to Karl Dunkle Werner for the hard work on the offline package build!</p>
 
-<p>We also want to thank you in advance for your help. For this release of the Arrow query engine, we’ve focused our effort on getting the core functionality implemented. (In fact, this first release is something of an R-exclusive: bindings for these features haven’t yet been added to pyarrow, the Python Arrow library!) By focusing on the essentials, it means that there are a number of performance optimizations we plan to do but didn’t have time for in this release–and there are surely m [...]
-
--->
-
-<p>The Apache Arrow team is pleased to announce the 6.0.0 release. This covers
-over 3 months of development work and includes <a href="https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20%3D%206.0.0"><strong>572 resolved issues</strong></a>
-from <a href="/release/6.0.0.html#contributors"><strong>77 distinct contributors</strong></a>. See the Install Page to learn how to
-get the libraries for your platform.</p>
-
-<p>The release notes below are not exhaustive and only expose selected highlights
-of the release. Many other bugfixes and improvements have been made: we refer
-you to the <a href="/release/6.0.0.html">complete changelog</a>.</p>
-
-<h2 id="community">Community</h2>
-
-<p>Since the 5.0.0 release, Nic Crane, QP Hou, Jiayu Liu, and Matt Topol have been invited to be committers, and Neville Dipale has joined the Project Management Committee (PMC). Thanks for your contributions and participation in the project!</p>
-
-<h2 id="columnar-format-notes">Columnar Format Notes</h2>
-
-<p>A new calendar interval type consisting of Month, Day and Nanoseconds has been added to the specification.  Reference implementations existing in Java, C++ and Python.</p>
-
-<h2 id="arrow-flight-rpc-notes">Arrow Flight RPC notes</h2>
-
-<p>GLib and Ruby have added bindings for Arrow Flight.</p>
-
-<p>While not part of the release, work is ongoing on Arrow Flight SQL, which defines a protocol for clients to communicate with SQL databases using Arrow Flight. For those interested in the project, please reach out on the <a href="https://arrow.apache.org/community/">mailing list</a>.</p>
-
-<h2 id="c-notes">C++ notes</h2>
-
-<p>The month-day-nano interval type has been added (ARROW-13628).</p>
-
-<p>Various APIs, including extension types and scalars, are no longer experimental (ARROW-5244).</p>
-
-<p>Support for Visual Studio 2015 was dropped (ARROW-14070).</p>
-
-<h3 id="compute-layer">Compute Layer</h3>
-
-<p>A basic in-memory query engine has been implemented and is accessible from the R bindings. Operations including filter, project, sort, equality joins, and various aggregations are supported.</p>
-
-<p>The following compute functions have been added:</p>
-
-<ul>
-  <li>aggregate functions: <code class="language-plaintext highlighter-rouge">approximate_median</code>, <code class="language-plaintext highlighter-rouge">count_distinct</code>, <code class="language-plaintext highlighter-rouge">max</code>, <code class="language-plaintext highlighter-rouge">min</code>, <code class="language-plaintext highlighter-rouge">product</code></li>
-  <li>hash aggregate functions: <code class="language-plaintext highlighter-rouge">hash_all</code>, <code class="language-plaintext highlighter-rouge">hash_any</code>, <code class="language-plaintext highlighter-rouge">hash_approximate_median</code>, <code class="language-plaintext highlighter-rouge">hash_count_distinct</code>, <code class="language-plaintext highlighter-rouge">hash_distinct</code>, <code class="language-plaintext highlighter-rouge">hash_max</code>, <code class="language [...]
-  <li>scalar arithmetic functions: <code class="language-plaintext highlighter-rouge">logb</code>, <code class="language-plaintext highlighter-rouge">round</code>, <code class="language-plaintext highlighter-rouge">round_to_multiple</code></li>
-  <li>scalar string functions: <code class="language-plaintext highlighter-rouge">ascii_capitalize</code>, <code class="language-plaintext highlighter-rouge">ascii_swapcase</code>, <code class="language-plaintext highlighter-rouge">ascii_title</code>, <code class="language-plaintext highlighter-rouge">utf8_capitalize</code>, <code class="language-plaintext highlighter-rouge">utf8_swapcase</code>, <code class="language-plaintext highlighter-rouge">utf8_title</code></li>
-  <li>scalar temporal functions: <code class="language-plaintext highlighter-rouge">assume_timezone</code>, <code class="language-plaintext highlighter-rouge">day_time_interval_between</code>, <code class="language-plaintext highlighter-rouge">days_between</code>, <code class="language-plaintext highlighter-rouge">hours_between</code>, <code class="language-plaintext highlighter-rouge">microseconds_between</code>, <code class="language-plaintext highlighter-rouge">milliseconds_between</c [...]
-  <li>other scalar functions: <code class="language-plaintext highlighter-rouge">choose</code>, <code class="language-plaintext highlighter-rouge">list_element</code></li>
-  <li>vector functions: <code class="language-plaintext highlighter-rouge">drop_null</code>, <code class="language-plaintext highlighter-rouge">select_k_unstable</code></li>
-</ul>
-
-<p>In general, type support has been improved for most of the compute functions, but work here is ongoing, particularly around decimal support.</p>
-
-<p>Crashes have been fixed in particular cases for <code class="language-plaintext highlighter-rouge">take</code>, <code class="language-plaintext highlighter-rouge">filter</code>, <code class="language-plaintext highlighter-rouge">unique</code>, and <code class="language-plaintext highlighter-rouge">value_counts</code> (ARROW-13474, ARROW-13509, ARROW-14129).</p>
-
-<p>Hash aggregations (i.e. group by) supports scalar and array values (ARROW-13737, ARROW-14027).</p>
-
-<p>Temporal functions are now timezone-aware (e.g. when extracting the hour of a timestamp) (ARROW-12980).</p>
-
-<p><code class="language-plaintext highlighter-rouge">count</code> can optionally count all values, not just null or non-null values (ARROW-13574).</p>
-
-<p><code class="language-plaintext highlighter-rouge">fill_null</code> has been replaced by the more general <code class="language-plaintext highlighter-rouge">coalesce</code> (ARROW-7179).</p>
-
-<p><code class="language-plaintext highlighter-rouge">is_null</code> can optionally consider NaN as null (ARROW-12959).</p>
-
-<p>Sorting has been optimized (ARROW-10898, ARROW-14165). Also, null values can now be sorted at either the beginning or the end (ARROW-12063).</p>
-
-<h3 id="csv">CSV</h3>
-
-<p>The CSV reader can read time32 and time64 types, and will infer time32 values for columns in the format “hh:mm” and “hh:mm:ss” (ARROW-11243).</p>
-
-<p>The decimal point can be customized when reading (ARROW-13421).</p>
-
-<p>The streaming reader will not unintentionally infer null-typed columns when using the various skip options (ARROW-13441).</p>
-
-<p>If a row has an incorrect number of columns, now the row can be skipped instead of raising an error (ARROW-12673).</p>
-
-<p>The option <code class="language-plaintext highlighter-rouge">quoted_strings_can_be_null</code> applies to all column types now, not just strings (ARROW-13580). When quoting is disabled entirely, the reader now takes advantage of this to improve performance (ARROW-14150).</p>
-
-<p>A CSVWriter object is now exposed, allowing for incremental writing (ARROW-11828). Dates can now be written (ARROW-12540).</p>
-
-<h3 id="dataset-layer">Dataset Layer</h3>
-
-<p>The dataset writer was refactored, and now supports more options, including a limit on the number of files open at once, compatibility with the async scanner, a limit on the number of rows written per file, and control over what to do when files already exist in the target directory (ARROW-13650). Additionally, the query engine can feed into the dataset writer as a sink (ARROW-13542).</p>
-
-<p>The asynchronous scanner now properly respects backpressure (ARROW-13611, ARROW-14192), as does the writer (ARROW-14191).</p>
-
-<p>ORC datasets are supported (ARROW-13572) with support for column projection pushdown (ARROW-13797).</p>
-
-<p>The Parquet/IPC format readers now respect the batch_size scanner option (ARROW-14024). Also, the Parquet reader now properly implements readahead for better performance (ARROW-14026).</p>
-
-<h3 id="io-and-filesystem-layer">IO and Filesystem Layer</h3>
-
-<p>The retry strategy of S3FileSystem can be customized (ARROW-13508). When writing to an existing bucket as a user with limited permissions, Arrow will no longer emit a spurious “Access Denied” error (ARROW-13685).</p>
-
-<p>On MacOS with NFS mounts, a “[errno 25] Inappropriate ioctl for device” error was fixed (ARROW-13983).</p>
-
-<p>The basics of a Google Cloud Storage filesystem have been added; work is in progress for full support (ARROW-8147, ARROW-14222, ARROW-14223, ARROW-14232, ARROW-14236, ARROW-14345, ARROW-14157).</p>
-
-<h3 id="json">JSON</h3>
-
-<p>A crash was fixed when duplicate keys were present (ARROW-14109).</p>
-
-<h3 id="parquet">Parquet</h3>
-
-<p>Written min/max and null_count statistics for dictionary types were corrected (ARROW-11634, ARROW-12513).
-null_count statistics for columns that contain repeated data where corrected.</p>
-
-<p>file_offset for row groups was not being populated according to the specification, this issue has been corrected.</p>
-
-<p>Column selection now works for repeated columns and structs of more then one level.</p>
-
-<p>An error with large files when built with Thrift 0.14 was fixed (ARROW-13655).</p>
-
-<p>The ParquetVersion enum was updated with more values to support finer-grained Parquet format version selection (ARROW-13794).</p>
-
-<p>Writer performance was improved by avoiding repeated dynamic casts (ARROW-13965).</p>
-
-<h2 id="c-notes-1">C# notes</h2>
-
-<p>This release includes improved support for dictionary arrays, as well as integration testing with the other Arrow implementations for the primitive and decimal types</p>
-
-<h2 id="go-notes">Go notes</h2>
-
-<h3 id="bug-fixes">Bug Fixes</h3>
-
-<ul>
-  <li>Fixed handling of the zero value for Decimal128 <code class="language-plaintext highlighter-rouge">FromBigInt</code> <a href="https://github.com/apache/arrow/pull/10796">#10796</a></li>
-  <li>Fixed various “too many releases” errors in the tests allowing all tests to be run using the <code class="language-plaintext highlighter-rouge">assert</code> build tag in CI from now on, including a bug when writing slices of String, Binary or FixedWidthType arrays via ipc.Writer <a href="https://github.com/apache/arrow/pull/11270">#11270</a>, <a href="https://github.com/apache/arrow/pull/11276">#11276</a></li>
-  <li>Fixed builds on ARM and s390x architectures <a href="https://github.com/apache/arrow/pull/11299">#11299</a>, [#11305]((https://github.com/apache/arrow/pull/11305)</li>
-</ul>
-
-<h3 id="enhancements">Enhancements</h3>
-
-<ul>
-  <li>Added <a href="https://github.com/apache/arrow/pull/11128">Concatenate</a> function for concatenating arrays</li>
-  <li>Implemented <a href="https://github.com/apache/arrow/pull/11024">Scalar</a> values and <code class="language-plaintext highlighter-rouge">MakeArrayFromScalar</code> function [#11252]((https://github.com/apache/arrow/pull/11252)</li>
-  <li>Added cgo <a href="https://github.com/apache/arrow/pull/11206">optional allocator</a> for allocating memory using the C++ memory pool for use with the C Data <a href="https://github.com/apache/arrow/pull/11037">import</a> and <a href="https://github.com/apache/arrow/pull/11220">export</a> APIs</li>
-  <li>Added support for Month, Day, Nano interval type <a href="https://github.com/apache/arrow/pull/11310">#11310</a></li>
-  <li>Completed <a href="https://github.com/apache/arrow/pull/10716">Encoding</a> package for Parquet, added <a href="https://github.com/apache/arrow/pull/10951">Metadata</a> package.</li>
-</ul>
-
-<h3 id="version-compatibility-update">Version Compatibility Update</h3>
-
-<ul>
-  <li>Release process updated to add proper git tags for Go release for Module aware version tracking (<a href="https://github.com/apache/arrow/pull/11312">#11312</a>) meaning that this release will be correctly tagged as v6.0.0 in go.mod and pkg.go.dev and future releases will be correctly versioned with the Go module system.</li>
-</ul>
-
-<h2 id="java-notes">Java notes</h2>
-<ul>
-  <li>Some dependent libraries were upgraded. In particular, grpc upgraded to 1.41.0, netty upgraded to 2.0.43, and orc upgraded to 1.7.0. (ARROW-14198) (ARROW-14049)</li>
-  <li>Fixed the problem of appending BitVectors in batch (ARROW-13981)</li>
-  <li>Code coverage support enabled for Java (ARROW-13859)</li>
-  <li>Fixed the incorrect string representations for unsigned integer vectors (ARROW-13792)</li>
-  <li>Reduced the memory consumption of JDBC adapters by reusing record batches (ARROW-13733)</li>
-  <li>Allowed NullVectors to have distinct field names (ARROW-13645)</li>
-  <li>Some APIs that have been deprecated for long have been removed (ARROW-13544)</li>
-  <li>Allowed passing empty columns for projection in Dataset (ARROW-13257)</li>
-  <li>A Java implementation of Arrow C data interface was provided (ARROW-12965)</li>
-</ul>
-
-<h2 id="javascript-notes">JavaScript notes</h2>
-
-<p>This release fixes builds with the latest TypeScript versions and ESM tree shaking.</p>
-
-<p>Deprecation notice: in Arrow 7, we will remove the compute code from Arrow JS.</p>
-
-<h2 id="python-notes">Python notes</h2>
-
-<ul>
-  <li>Many new <code class="language-plaintext highlighter-rouge">pyarrow.compute</code> functions are available (see the C++ notes above for more details), and introspection of the functions was improved so that they look more like standard Python functions.</li>
-  <li>All Python functions and classes should now have documented parameters in the API reference.</li>
-  <li>SIMD optimization is now enabled in M1 wheels</li>
-  <li>Wheels are now built for more Python versions on M1 systems.</li>
-  <li>PyArrow is now compatible with Python 3.10</li>
-  <li>Creating Arrow arrays now supports more than just numpy arrays as masks</li>
-  <li>Printing Tables now previews the values in the columns</li>
-  <li><code class="language-plaintext highlighter-rouge">copy_files</code> is now available in Python</li>
-  <li>Datasets now support ORC files</li>
-  <li>Sets are now supported when building arrays or converting from pandas.</li>
-  <li>39 bugs have been fixed.</li>
-</ul>
-
-<h2 id="r-notes">R notes</h2>
-
-<p>This release adds grouped aggregation and joins in the <code class="language-plaintext highlighter-rouge">dplyr</code> interface, on top of the new Arrow C++ query engine. There is also support for using <code class="language-plaintext highlighter-rouge">duckdb</code> to query Arrow datasets. For more details, see the <a href="/docs/r/news/">complete R changelog</a>.</p>
-
-<h2 id="ruby-and-c-glib-notes">Ruby and C GLib notes</h2>
-
-<h3 id="ruby">Ruby</h3>
-
-<p>The updates of Red Arrow etc. consists of the following improvements:</p>
-
-<ul>
-  <li>Red Arrow
-    <ul>
-      <li>Added <code class="language-plaintext highlighter-rouge">Arrow::RecordBatchReader</code></li>
-      <li>Support to convert an array of symbols to a dictionary array</li>
-      <li>Add support for building and converting map</li>
-      <li>Add support for group aggregation</li>
-      <li>Use compute kernels for the implementation of slicers</li>
-      <li>Support a Range and an Array of selectors in <code class="language-plaintext highlighter-rouge">Arrow::Table#[]</code> and <code class="language-plaintext highlighter-rouge">Arrow::RecordBatch#[]</code></li>
-      <li>Separate min and max aggregators</li>
-      <li>Support a hash slicer; a scalar value is for equality matching, and a range is for between matching</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">Arrow::TableConcatenateOptions</code> and conversion from a <code class="language-plaintext highlighter-rouge">Hash</code> for convenience</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">Arrow::Expression</code> and conversion from <code class="language-plaintext highlighter-rouge">Array</code> and <code class="language-plaintext highlighter-rouge">Hash</code> for convenience</li>
-    </ul>
-  </li>
-  <li>Red Arrow Dataset
-    <ul>
-      <li>Add support for loading from directories</li>
-      <li>Add support for writing</li>
-      <li>Add filter expression support in a loader</li>
-    </ul>
-  </li>
-  <li>Red Arrow Flight
-    <ul>
-      <li>Add <code class="language-plaintext highlighter-rouge">ArrowFlight::Client#do_get</code> support</li>
-    </ul>
-  </li>
-</ul>
-
-<h3 id="c-glib">C GLib</h3>
-
-<p>The updates of Arrow GLib etc. consists of the following improvements:</p>
-
-<ul>
-  <li>Arrow GLib
-    <ul>
-      <li>Add the following new functions:
-        <ul>
-          <li><code class="language-plaintext highlighter-rouge">garrow_record_batch_reader_new</code></li>
-          <li><code class="language-plaintext highlighter-rouge">garrow_record_batch_reader_read_all</code></li>
-          <li><code class="language-plaintext highlighter-rouge">garrow_union_scalar_get_type_code</code></li>
-        </ul>
-      </li>
-      <li>Add <code class="language-plaintext highlighter-rouge">type_code</code> supports in union scalar types</li>
-      <li>Add C ABI support</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">GArrowCountOptions</code> and let count functions support it</li>
-      <li>Add support for group aggregation</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">GArrowSetLookupOptions</code> for options of <code class="language-plaintext highlighter-rouge">is_in</code> and <code class="language-plaintext highlighter-rouge">index_in</code> kernels</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">GArrowVarianceOptions</code> to specify the calculation options for variance and standard deviation kernels</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">GArrowFunctionDoc</code></li>
-      <li>Add <code class="language-plaintext highlighter-rouge">GArrowTableConcatenateOptions</code> and let <code class="language-plaintext highlighter-rouge">garrow_table_concatenate</code> support it</li>
-      <li>Add expressions support</li>
-    </ul>
-  </li>
-  <li>Arrow Dataset GLib
-    <ul>
-      <li>Add support for writing data</li>
-      <li>Support recursive scanning in a directory</li>
-      <li>Add <code class="language-plaintext highlighter-rouge">gadataset_scanner_builder_set_filter</code></li>
-      <li>Make <code class="language-plaintext highlighter-rouge">use_async</code> of <code class="language-plaintext highlighter-rouge">GADatasetScannerBuilder</code> a property, and remove <code class="language-plaintext highlighter-rouge">gadataset_scanner_builder_use_async</code></li>
-    </ul>
-  </li>
-  <li>Arrow Flight GLib
-    <ul>
-      <li>Add DoGet support:
-        <ul>
-          <li>New functions: <code class="language-plaintext highlighter-rouge">gaflight_client_do_get</code> and <code class="language-plaintext highlighter-rouge">gaflight_server_do_get</code></li>
-          <li>New classes: <code class="language-plaintext highlighter-rouge">GAFlightStreamReader</code>, <code class="language-plaintext highlighter-rouge">GAFlightStreamChunk</code>, <code class="language-plaintext highlighter-rouge">GAFlightRecordBatchReader</code>,  <code class="language-plaintext highlighter-rouge">GAFlightDataStream</code>, <code class="language-plaintext highlighter-rouge">GAFlightRecordBatchStream</code>, and <code class="language-plaintext highlighter-rouge">GA [...]
-        </ul>
-      </li>
-      <li>Change the argument order of <code class="language-plaintext highlighter-rouge">gaflight_client_list_flights</code> function</li>
-    </ul>
-  </li>
-  <li>Parquet GLib
-    <ul>
-      <li>Add <code class="language-plaintext highlighter-rouge">gparquet_arrow_file_reader_get_n_rows</code> function</li>
-    </ul>
-  </li>
-</ul>
-
-<h2 id="rust-notes">Rust notes</h2>
-
-<p>Rust continues to release minor versions every 2 weeks in addition to
-a major version with the rest of the Arrow language
-implementations. Thus most enhancements have been incrementally
-released over the last 3 months as part of the 5.x.</p>
-
-<p>The DataFusion and Ballista sub projects have begun releasing at their
-own cadence which is expected to continue in the next few weeks.</p>
-
-<p>Major changes in the 6.0.0 release include support for the <code class="language-plaintext highlighter-rouge">MapArray</code>
-array type, improved lower level <code class="language-plaintext highlighter-rouge">ArrayData</code> APIs to better
-communicate safety, and a faster (but unstable) sorting kernel.</p>
-
-<p>For additional details on the 6.0.0
-Rust implementation, please see the <a href="https://github.com/apache/arrow-rs/blob/6.0.0/CHANGELOG.md">Arrow Rust
-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 6.0.0 release. This covers over 3 months of development work and includes 572 resolved issues from 77 distinct contributors. 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. Many other bugfixes and impro [...]
\ No newline at end of file
+<p>We also want to thank you in advance for your help. For this release of the Arrow query engine, we’ve focused our effort on getting the core functionality implemented. (In fact, this first release is something of an R-exclusive: bindings for these features haven’t yet been added to pyarrow, the Python Arrow library!) By focusing on the essentials, it means that there are a number of performance optimizations we plan to do but didn’t have time for in this release–and there are surely m [...]
\ No newline at end of file
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diff --git a/release/0.4.1.html b/release/0.4.1.html
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diff --git a/release/0.5.0.html b/release/0.5.0.html
index 4ed216c..3c13c81 100644
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diff --git a/release/0.6.0.html b/release/0.6.0.html
index 6a347be..75d2662 100644
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diff --git a/release/0.7.0.html b/release/0.7.0.html
index f56ddb3..5894f3f 100644
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diff --git a/release/0.7.1.html b/release/0.7.1.html
index a8d815f..2475b85 100644
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diff --git a/release/0.8.0.html b/release/0.8.0.html
index 960e99e..6ca6325 100644
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diff --git a/release/0.9.0.html b/release/0.9.0.html
index 4e00b7a..6965f2b 100644
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diff --git a/release/1.0.0.html b/release/1.0.0.html
index 30e6ce1..bc5ea43 100644
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diff --git a/release/1.0.1.html b/release/1.0.1.html
index 462227f..6f9e82d 100644
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diff --git a/release/2.0.0.html b/release/2.0.0.html
index 6fbc78b..5fd2598 100644
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diff --git a/release/3.0.0.html b/release/3.0.0.html
index f2436a0..31f09aa 100644
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diff --git a/release/4.0.0.html b/release/4.0.0.html
index eea2d80..f5ddea1 100644
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