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Posted to commits@arrow.apache.org by gi...@apache.org on 2022/11/03 13:45:57 UTC
[arrow-site] branch asf-site updated: Updating built site (build 3a90db52cea97c4a61eacb92cd01dea3a049813b)
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new 9213feeac7 Updating built site (build 3a90db52cea97c4a61eacb92cd01dea3a049813b)
9213feeac7 is described below
commit 9213feeac76e6ff035da7efad9fb359dfd985743
Author: Andy Grove <an...@gmail.com>
AuthorDate: Thu Nov 3 13:45:52 2022 +0000
Updating built site (build 3a90db52cea97c4a61eacb92cd01dea3a049813b)
---
blog/2022/10/28/ballista-0.9.0/index.html | 367 ++++++++++++++++++++++++++++++
blog/index.html | 15 ++
docs/c_glib/index.html | 4 +-
feed.xml | 358 ++++++++---------------------
img/2022-10-28-ballista-web-ui.png | Bin 0 -> 152784 bytes
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/10.0.0.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/8.0.0.html | 4 +-
release/9.0.0.html | 4 +-
release/index.html | 4 +-
42 files changed, 549 insertions(+), 343 deletions(-)
diff --git a/blog/2022/10/28/ballista-0.9.0/index.html b/blog/2022/10/28/ballista-0.9.0/index.html
new file mode 100644
index 0000000000..8ec77fd039
--- /dev/null
+++ b/blog/2022/10/28/ballista-0.9.0/index.html
@@ -0,0 +1,367 @@
+<!DOCTYPE html>
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+<meta name="description" content="Introduction Ballista is an Arrow-native distributed SQL query engine implemented in Rust. Ballista 0.9.0 is now available and is the most significant release since the project was donated to Apache Arrow in 2021. This release represents 4 weeks of work, with 66 commits from 14 contributors: 22 Andy Grove 12 yahoNanJing 6 Daniël Heres 4 Brent Gardner 4 dependabot[bot] 4 r.4ntix 3 Stefan Stanciulescu 3 mingmwang 2 Ken Suenobu 2 Yang Jiang 1 Metehan Yıldır [...]
+<meta property="og:description" content="Introduction Ballista is an Arrow-native distributed SQL query engine implemented in Rust. Ballista 0.9.0 is now available and is the most significant release since the project was donated to Apache Arrow in 2021. This release represents 4 weeks of work, with 66 commits from 14 contributors: 22 Andy Grove 12 yahoNanJing 6 Daniël Heres 4 Brent Gardner 4 dependabot[bot] 4 r.4ntix 3 Stefan Stanciulescu 3 mingmwang 2 Ken Suenobu 2 Yang Jiang 1 Metehan [...]
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+ <div class="col-md-8 mx-auto">
+ <main role="main" class="pb-5">
+
+<h1>
+ Apache Arrow Ballista 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">
+ 28 Oct 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://github.com/apache/arrow-ballista">Ballista</a> is an Arrow-native distributed SQL query engine implemented in Rust.</p>
+
+<p>Ballista 0.9.0 is now available and is the most significant release since the project was <a href="http://arrow.apache.org/blog/2021/04/12/ballista-donation/">donated</a> to Apache
+Arrow in 2021.</p>
+
+<p>This release represents 4 weeks of work, with 66 commits from 14 contributors:</p>
+
+<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> 22 Andy Grove
+ 12 yahoNanJing
+ 6 Daniël Heres
+ 4 Brent Gardner
+ 4 dependabot[bot]
+ 4 r.4ntix
+ 3 Stefan Stanciulescu
+ 3 mingmwang
+ 2 Ken Suenobu
+ 2 Yang Jiang
+ 1 Metehan Yıldırım
+ 1 Trent Feda
+ 1 askoa
+ 1 yangzhong
+</code></pre></div></div>
+
+<h2 id="release-highlights">Release Highlights</h2>
+
+<p>The release notes below are not exhaustive and only expose selected highlights of the release. Many other bug fixes
+and improvements have been made: we refer you to the <a href="https://github.com/apache/arrow-ballista/blob/0.9.0-rc2/ballista/CHANGELOG.md">complete changelog</a>.</p>
+
+<h3 id="support-for-cloud-object-stores-and-distributed-file-systems">Support for Cloud Object Stores and Distributed File Systems</h3>
+
+<p>This is the first release of Ballista to have documented support for querying data from distributed file systems and
+object stores. Currently, S3 and HDFS are supported. Support for Google Cloud Storage and Azure Blob Storage is planned
+for the next release.</p>
+
+<h3 id="flight-sql--jdbc-support">Flight SQL & JDBC support</h3>
+
+<p>The Ballista scheduler now implements the <a href="https://arrow.apache.org/blog/2022/02/16/introducing-arrow-flight-sql/">Flight SQL protocol</a>, enabling any compliant Flight SQL client
+to connect to and run queries against a Ballista cluster.</p>
+
+<p>The Apache Arrow Flight SQL JDBC driver can be used to connect Business Intelligence tools to a Ballista cluster.</p>
+
+<h3 id="python-bindings">Python Bindings</h3>
+
+<p>It is now possible to connect to a Ballista cluster from Python and execute queries using both the DataFrame and SQL
+interfaces.</p>
+
+<h3 id="scheduler-web-user-interface-and-rest-api">Scheduler Web User Interface and REST API</h3>
+
+<p>The scheduler now has a web user interface for monitoring queries. It is also possible to view graphical query plans
+that show how the query was executed, along with metrics.</p>
+
+<p><img src="/img/2022-10-28-ballista-web-ui.png" width="800" /></p>
+
+<p>The REST API that powers the user interface can also be accessed directly.</p>
+
+<h3 id="simplified-kubernetes-deployment">Simplified Kubernetes Deployment</h3>
+
+<p>Ballista now provides a <a href="https://github.com/apache/arrow-ballista/tree/master/helm">Helm chart</a> for simplified Kubernetes deployment.</p>
+
+<h3 id="user-guide">User Guide</h3>
+
+<p>The user guide is published at <a href="https://arrow.apache.org/ballista/">https://arrow.apache.org/ballista/</a> and provides
+deployment instructions for Docker, Docker Compose, and Kubernetes, as well as references for configuring and
+tuning Ballista.</p>
+
+<h2 id="roadmap">Roadmap</h2>
+
+<p>The Ballista community is currently focused on the following tasks for the next release:</p>
+
+<ul>
+ <li>Support for Azure Blob Storage and Google Cloud Storage</li>
+ <li>Improve benchmark performance by implementing more query optimizations</li>
+ <li>Improve scheduler web user interface</li>
+ <li>Publish Docker images to GitHub Container Registry</li>
+</ul>
+
+<p>The detailed list of issues planned for the 0.10.0 release can be found in the <a href="https://github.com/apache/arrow-ballista/issues/361">tracking issue</a>.</p>
+
+<h2 id="getting-involved">Getting Involved</h2>
+
+<p>Ballista has a friendly community and we welcome contributions. A good place to start is to following the instructions
+in the <a href="https://arrow.apache.org/ballista/">user guide</a> and try using Ballista with your own SQL queries and ETL pipelines, and file issues
+for any bugs or feature suggestions.</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>© 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 5ed691f7fe..1bdddb366c 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -265,6 +265,21 @@
+ <p>
+ <h3>
+ <a href="/blog/2022/10/28/ballista-0.9.0/">Apache Arrow Ballista 0.9.0 Release</a>
+ </h3>
+
+ <p>
+ <span class="blog-list-date">
+ 28 October 2022
+ </span>
+ </p>
+ Introduction Ballista is an Arrow-native distributed SQL query engine implemented in Rust. Ballista 0.9.0 is now available and is the most significant release since the project was donated to Apache Arrow in 2021. This release represents 4 weeks of work, with 66 commits from 14 contributors: 22 Andy Grove 12...
+ </p>
+
+
+
<p>
<h3>
<a href="/blog/2022/10/25/datafusion-13.0.0/">Apache Arrow DataFusion 13.0.0 Project Update</a>
diff --git a/docs/c_glib/index.html b/docs/c_glib/index.html
index a55c5c13d8..006b558454 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="2022-11-01T10:22:44-04:00" />
+<meta property="article:published_time" content="2022-11-03T09:43:13-04:00" />
<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" />
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-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2022-11-01T10:22:44-04:00","datePublished":"2022-11-01T10:22:44-04:00","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 [...]
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diff --git a/feed.xml b/feed.xml
index 693b6c8ef2..ec091b22a1 100644
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+++ b/feed.xml
@@ -1,4 +1,4 @@
-<?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>2022-11-01T10:22:44-04:00</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>2022-11-03T09:43:13-04:00</updated><id>https://arrow.apache.org/feed.xml</id><title type="html">Apache Arrow</title><subtitle>Apache Arrow is a cross-language developm [...]
-->
@@ -376,7 +376,95 @@ enable the necessary components explicitly
<p>The Rust projects have moved to separate repositories outside the
main Arrow monorepo. For notes on the latest release of the Rust
-implementation, see the latest <a href="https://github.com/apache/arrow-rs/tags">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 10.0.0 release. This covers over 3 months of development work and includes 473 resolved issues from 100 distinct contributors. See the Install Page to learn how to get the libraries for your platform. The release notes below are n [...]
+implementation, see the latest <a href="https://github.com/apache/arrow-rs/tags">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 10.0.0 release. This covers over 3 months of development work and includes 473 resolved issues from 100 distinct contributors. See the Install Page to learn how to get the libraries for your platform. The release notes below are n [...]
+
+-->
+
+<h1 id="introduction">Introduction</h1>
+
+<p><a href="https://github.com/apache/arrow-ballista">Ballista</a> is an Arrow-native distributed SQL query engine implemented in Rust.</p>
+
+<p>Ballista 0.9.0 is now available and is the most significant release since the project was <a href="http://arrow.apache.org/blog/2021/04/12/ballista-donation/">donated</a> to Apache
+Arrow in 2021.</p>
+
+<p>This release represents 4 weeks of work, with 66 commits from 14 contributors:</p>
+
+<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> 22 Andy Grove
+ 12 yahoNanJing
+ 6 Daniël Heres
+ 4 Brent Gardner
+ 4 dependabot[bot]
+ 4 r.4ntix
+ 3 Stefan Stanciulescu
+ 3 mingmwang
+ 2 Ken Suenobu
+ 2 Yang Jiang
+ 1 Metehan Yıldırım
+ 1 Trent Feda
+ 1 askoa
+ 1 yangzhong
+</code></pre></div></div>
+
+<h2 id="release-highlights">Release Highlights</h2>
+
+<p>The release notes below are not exhaustive and only expose selected highlights of the release. Many other bug fixes
+and improvements have been made: we refer you to the <a href="https://github.com/apache/arrow-ballista/blob/0.9.0-rc2/ballista/CHANGELOG.md">complete changelog</a>.</p>
+
+<h3 id="support-for-cloud-object-stores-and-distributed-file-systems">Support for Cloud Object Stores and Distributed File Systems</h3>
+
+<p>This is the first release of Ballista to have documented support for querying data from distributed file systems and
+object stores. Currently, S3 and HDFS are supported. Support for Google Cloud Storage and Azure Blob Storage is planned
+for the next release.</p>
+
+<h3 id="flight-sql--jdbc-support">Flight SQL & JDBC support</h3>
+
+<p>The Ballista scheduler now implements the <a href="https://arrow.apache.org/blog/2022/02/16/introducing-arrow-flight-sql/">Flight SQL protocol</a>, enabling any compliant Flight SQL client
+to connect to and run queries against a Ballista cluster.</p>
+
+<p>The Apache Arrow Flight SQL JDBC driver can be used to connect Business Intelligence tools to a Ballista cluster.</p>
+
+<h3 id="python-bindings">Python Bindings</h3>
+
+<p>It is now possible to connect to a Ballista cluster from Python and execute queries using both the DataFrame and SQL
+interfaces.</p>
+
+<h3 id="scheduler-web-user-interface-and-rest-api">Scheduler Web User Interface and REST API</h3>
+
+<p>The scheduler now has a web user interface for monitoring queries. It is also possible to view graphical query plans
+that show how the query was executed, along with metrics.</p>
+
+<p><img src="/img/2022-10-28-ballista-web-ui.png" width="800" /></p>
+
+<p>The REST API that powers the user interface can also be accessed directly.</p>
+
+<h3 id="simplified-kubernetes-deployment">Simplified Kubernetes Deployment</h3>
+
+<p>Ballista now provides a <a href="https://github.com/apache/arrow-ballista/tree/master/helm">Helm chart</a> for simplified Kubernetes deployment.</p>
+
+<h3 id="user-guide">User Guide</h3>
+
+<p>The user guide is published at <a href="https://arrow.apache.org/ballista/">https://arrow.apache.org/ballista/</a> and provides
+deployment instructions for Docker, Docker Compose, and Kubernetes, as well as references for configuring and
+tuning Ballista.</p>
+
+<h2 id="roadmap">Roadmap</h2>
+
+<p>The Ballista community is currently focused on the following tasks for the next release:</p>
+
+<ul>
+ <li>Support for Azure Blob Storage and Google Cloud Storage</li>
+ <li>Improve benchmark performance by implementing more query optimizations</li>
+ <li>Improve scheduler web user interface</li>
+ <li>Publish Docker images to GitHub Container Registry</li>
+</ul>
+
+<p>The detailed list of issues planned for the 0.10.0 release can be found in the <a href="https://github.com/apache/arrow-ballista/issues/361">tracking issue</a>.</p>
+
+<h2 id="getting-involved">Getting Involved</h2>
+
+<p>Ballista has a friendly community and we welcome contributions. A good place to start is to following the instructions
+in the <a href="https://arrow.apache.org/ballista/">user guide</a> and try using Ballista with your own SQL queries and ETL pipelines, and file issues
+for any bugs or feature suggestions.</p>]]></content><author><name>pmc</name></author><category term="release" /><summary type="html"><![CDATA[Introduction Ballista is an Arrow-native distributed SQL query engine implemented in Rust. Ballista 0.9.0 is now available and is the most significant release since the project was donated to Apache Arrow in 2021. This release represents 4 weeks of work, with 66 commits from 14 contributors: 22 Andy Grove 12 yahoNanJing 6 Daniël Heres 4 Brent Gard [...]
-->
@@ -1828,268 +1916,4 @@ and let us know how it goes or contribute a PR with documentation, tests or code
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, [...]
-
--->
-
-<p>The Apache Arrow team is pleased to announce the 8.0.0 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%208.0.0"><strong>586 resolved issues</strong></a>
-from <a href="/release/8.0.0.html#contributors"><strong>127 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/8.0.0.html#changelog">complete changelog</a>.</p>
-
-<h2 id="community">Community</h2>
-
-<p>Since the 7.0.0 release, Kun Liu, Raphael Taylor-Davies Xudong Wang, Yijie Shen
-and Liang-Chi Hsieh have been invited to be committers.
-Thanks for your contributions and participation in the project!</p>
-
-<h2 id="arrow-flight-rpc-notes">Arrow Flight RPC notes</h2>
-
-<p>Flight SQL has been extended with a method to get type metadata (<a href="https://issues.apache.org/jira/browse/ARROW-15313">ARROW-15313</a>) and column metadata in returned schemas (<a href="https://issues.apache.org/jira/browse/ARROW-15314">ARROW-15314</a>, <a href="https://issues.apache.org/jira/browse/ARROW-16064">ARROW-16064</a>) New documentation is available describing Flight and Flight SQL, along with several Cookbook recipes (<a href="https://issues.apache.org/jira/browse/ARR [...]
-
-<p>The C++ libraries now support UCX as a network transport (<a href="https://issues.apache.org/jira/browse/ARROW-15706">ARROW-15706</a>), and the APIs have been refactored to allow other transports to be implemented (<a href="https://issues.apache.org/jira/browse/ARROW-15282">ARROW-15282</a>). UCX support is experimental and still subject to change. Many of the APIs have been refactored to use the <code class="language-plaintext highlighter-rouge">arrow::Result</code> type, and the orig [...]
-
-<h2 id="c-notes">C++ notes</h2>
-
-<h3 id="compute">Compute</h3>
-
-<p>Arrow C++ can now optionally build with support for the experimental
-<a href="https://substrait.io/">Substrait</a> query representation format (<a href="https://issues.apache.org/jira/browse/ARROW-15238">ARROW-15238</a>).</p>
-
-<p>A number of compute kernels operating on temporal data have been added:</p>
-
-<ul>
- <li>addition, subtraction and multiplication between various temporal types;</li>
- <li>a new “is_dst” function to compute whether the input timestamps fall within
-daylight saving time (DST);</li>
- <li>a new “is_leap_year” function to compute whether the input timestamps fall
-within a leap year.</li>
-</ul>
-
-<p>It is possible to enable a timezone database on Windows at runtime
-by calling the <code class="language-plaintext highlighter-rouge">arrow::Initialize()</code> function (<a href="https://issues.apache.org/jira/browse/ARROW-13168">ARROW-13168</a>).</p>
-
-<p>New hash aggregations are available: “hash_one” to return one value from each
-group (<a href="https://issues.apache.org/jira/browse/ARROW-13993">ARROW-13993</a>), and “hash_list” to return all values from each group
-(<a href="https://issues.apache.org/jira/browse/ARROW-15152">ARROW-15152</a>). Null columns are now supported on the sum, mean and product
-hash aggregates (<a href="https://issues.apache.org/jira/browse/ARROW-15506">ARROW-15506</a>). Also, it is now possible to execute hash
-“aggregations” with only key columns (<a href="https://issues.apache.org/jira/browse/ARROW-15609">ARROW-15609</a>).</p>
-
-<p>A new compute function “map_lookup” allows looking up a given key in a map
-array (<a href="https://issues.apache.org/jira/browse/ARROW-15089">ARROW-15089</a>).</p>
-
-<p>New compute functions “sqrt” and “sqrt_checked” allow extracting the square
-root of their input (<a href="https://issues.apache.org/jira/browse/ARROW-15614">ARROW-15614</a>).</p>
-
-<p>Casting between two struct types is now possible, assuming the destination field
-names all exist in the source struct type (<a href="https://issues.apache.org/jira/browse/ARROW-1888">ARROW-1888</a>, <a href="https://issues.apache.org/jira/browse/ARROW-15643">ARROW-15643</a>).</p>
-
-<p>Optional OpenTelemetry tracing has been added to kernel functions and execution
-plan nodes (<a href="https://issues.apache.org/jira/browse/ARROW-15061">ARROW-15061</a>).</p>
-
-<p>The CMake build option <code class="language-plaintext highlighter-rouge">ARROW_ENGINE</code> has been renamed to <code class="language-plaintext highlighter-rouge">ARROW_SUBSTRAIT</code>,
-to better reflect its actual effect (<a href="https://issues.apache.org/jira/browse/ARROW-16158">ARROW-16158</a>).</p>
-
-<h3 id="csv">CSV</h3>
-
-<p>It is now possible to change the field delimiter when writing a CSV file
-(<a href="https://issues.apache.org/jira/browse/ARROW-15672">ARROW-15672</a>).</p>
-
-<h3 id="dataset">Dataset</h3>
-
-<p>The ORC dataset scanner now observes the batch size parameter (<a href="https://issues.apache.org/jira/browse/ARROW-14153">ARROW-14153</a>).</p>
-
-<p>The dataset layer now supports filename-based partitioning, where the data
-files are all laid out in the dataset’s base directory, their names prefixed
-with the partition values separated by underscore characters (<a href="https://issues.apache.org/jira/browse/ARROW-14612">ARROW-14612</a>).</p>
-
-<p>Optional OpenTelemetry tracing has been added to the dataset scanner (<a href="https://issues.apache.org/jira/browse/ARROW-15067">ARROW-15067</a>).</p>
-
-<h3 id="filesystem">Filesystem</h3>
-
-<p>It is possible to instantiate a Google Cloud Storage (GCS) filesystem
-from a URI, making GCS implicitly usable in the datasets layer (<a href="https://issues.apache.org/jira/browse/ARROW-14893">ARROW-14893</a>).
-Recognized URI schemes are <code class="language-plaintext highlighter-rouge">gs</code> and <code class="language-plaintext highlighter-rouge">gcs</code>.</p>
-
-<p><code class="language-plaintext highlighter-rouge">FileSystem::DeleteDirContents</code> can now optionally succeed when the directory
-doesn’t exist (<a href="https://issues.apache.org/jira/browse/ARROW-16159">ARROW-16159</a>).</p>
-
-<h3 id="io">IO</h3>
-
-<p>It is possible to override the number of IO threads using the
-environment variable <code class="language-plaintext highlighter-rouge">ARROW_IO_THREADS</code> (<a href="https://issues.apache.org/jira/browse/ARROW-15941">ARROW-15941</a>).</p>
-
-<h3 id="ipc">IPC</h3>
-
-<p>The IPC file reader and writer now allow accessing the custom metadata
-associated with record batches (<a href="https://issues.apache.org/jira/browse/ARROW-16131">ARROW-16131</a>).</p>
-
-<h3 id="miscellaneous">Miscellaneous</h3>
-
-<p>It is possible to enable lightweight memory checks on the standard memory pools
-using a dedicated environment variable <code class="language-plaintext highlighter-rouge">ARROW_DEBUG_MEMORY_POOL</code> (<a href="https://issues.apache.org/jira/browse/ARROW-15550">ARROW-15550</a>).
-These checks are not a replacement for sophisticated checkers such as Address
-Sanitizer or Valgrind, but might come up useful if those tools are not
-available.</p>
-
-<p>Temporal data is now validated when doing full array validation (<a href="https://issues.apache.org/jira/browse/ARROW-10924">ARROW-10924</a>).
-The validation catches values not matching the specification (for example,
-a time value being outside of the span of one day).</p>
-
-<p>The GDB plugin now attempts to print the data of an array, in addition to its
-metadata (<a href="https://issues.apache.org/jira/browse/ARROW-15389">ARROW-15389</a>). This only works for primitive datatypes.</p>
-
-<p>Pretty-printing is now shorter and more customizable for nested datatypes
-(<a href="https://issues.apache.org/jira/browse/ARROW-14798">ARROW-14798</a>).</p>
-
-<h2 id="c-notes-1">C# notes</h2>
-
-<p>With <a href="https://devblogs.microsoft.com/dotnet/net-core-2-1-will-reach-end-of-support-on-august-21-2021">.NET Core 2.1 reaching end-of-life</a> in August 2021, the Apache.Arrow library has been updated to target <code class="language-plaintext highlighter-rouge">netcoreapp3.1</code> and higher. It still supports <code class="language-plaintext highlighter-rouge">netstandard1.3</code>, so the library works on .NET Framework. But to get the best performance, using .NET Core 3.1, .N [...]
-
-<h2 id="go-notes">Go notes</h2>
-
-<h3 id="bug-fixes">Bug fixes</h3>
-
-<ul>
- <li>parquet_reader / parquet_schema no longer crash (<a href="https://github.com/apache/arrow/pull/12303">ARROW-15509</a>)</li>
- <li>Base64 encoding of origin Arrow schema properly uses padding and decodes both with or without the padding in pqarrow.getOriginSchema (<a href="https://github.com/apache/arrow/pull/12679">ARROW-15544</a>)</li>
- <li>ipc.Writer no longer includes unnecessary offsets when encoding sliced arrays (<a href="https://github.com/apache/arrow/pull/12453">ARROW-15715</a>)</li>
- <li>Use base64.StdEncoding for Arrow Flight Basic Auth middleware for proper encoding/decoding (<a href="https://github.com/apache/arrow/pull/12503">ARROW-15772</a>)</li>
- <li>Fix panic during concurrent compression of ipc body buffers due to negative WaitGroup counter (<a href="https://github.com/apache/arrow/pull/12518">ARROW-15792</a>)</li>
- <li>Fix memory leak in pqarrow.NewColumnWriter with nested structures (<a href="https://github.com/apache/arrow/pull/12641">ARROW-15946</a>)</li>
- <li>ipc.FileReader no longer leaks memory when using ZSTD compression (<a href="https://github.com/apache/arrow/pull/12857">ARROW-16163</a>)</li>
-</ul>
-
-<h3 id="enhancements">Enhancements</h3>
-
-<h4 id="flight-rpc">Flight RPC</h4>
-
-<ul>
- <li><em>Breaking Change</em> gRPC version is updated and Flight Server creation has been simplified. Flight servers must now embed flight.BaseFlightServer (<a href="https://github.com/apache/arrow/pull/12233">ARROW-15418</a>)</li>
- <li>You can now provide a full net.Listener as an alternative to just providing an address to bind to when creating a Flight server (<a href="https://github.com/apache/arrow/pull/12768">ARROW-16082</a>)</li>
-</ul>
-
-<h4 id="parquet">Parquet</h4>
-
-<ul>
- <li>‘unpack_bool’, sum_float64, and bitmap handling functions have been given optimized assembly implementation for Arm64 NEON (<a href="https://github.com/apache/arrow/pull/12398">ARROW-15440</a>, <a href="https://github.com/apache/arrow/pull/12502">ARROW-15742</a>, <a href="https://github.com/apache/arrow/pull/12687">ARROW-15995</a>)</li>
- <li>Go Parquet handling has been simplified to only need io.ReadSeeker instead of a ReadAtSeeker interface (<a href="https://github.com/apache/arrow/pull/12658">ARROW-15963</a>)</li>
- <li>BitSetRunReader and helper functions have been lifted to internal/bitutils package to share between arrow and parquet implementations (<a href="https://github.com/apache/arrow/pull/12926">ARROW-15950</a>)</li>
- <li>Parquet Reader now properly obeys the buffer size read property for buffered streams (<a href="https://github.com/apache/arrow/pull/12876">ARROW-16187</a>)</li>
- <li>parquet NewBufferedReader no longer panics (<a href="https://github.com/apache/arrow/pull/12960">ARROW-16283</a>)</li>
-</ul>
-
-<h4 id="arrow">Arrow</h4>
-
-<ul>
- <li>Go Arrow library now supports Dictionary Arrays (<a href="https://issues.apache.org/jira/browse/ARROW-3039">ARROW-3039</a>, <a href="https://issues.apache.org/jira/browse/ARROW-9378">ARROW-9378</a>, <a href="https://github.com/apache/arrow/pull/12158">GH-12158</a>)</li>
- <li>array.ArrayEqual, array.ArrayApproxEqual have been renamed to array.Equal and array.ApproxEqual. Aliases are provided to avoid breaking existing code which will be removed in v9. (<a href="https://github.com/apache/arrow/pull/12877">ARROW-5598</a>)</li>
- <li>Custom cpu discovery package replaced with using golang.org/x/sys/cpu (<a href="https://github.com/apache/arrow/pull/12764">ARROW-16193</a>)</li>
- <li><em>Breaking Change</em> array.Interface, array.Record, array.Table, etc. were deprecated in v7 in favor of arrow.Array, arrow.Record, etc. The deprecated aliases have been removed in v8 (<a href="https://github.com/apache/arrow/pull/12960">ARROW-16192</a>)</li>
-</ul>
-
-<h4 id="ci">CI</h4>
-
-<ul>
- <li>staticcheck is now run as part of CI to lint the Go code (<a href="https://github.com/apache/arrow/pull/12540">ARROW-15296</a>)</li>
- <li>Travis builds on Arm64 for Go are no longer allowed to fail (<a href="https://github.com/apache/arrow/pull/12214">ARROW-15400</a>)</li>
-</ul>
-
-<h2 id="java-notes">Java notes</h2>
-
-<ul>
- <li>Java 17 is now supported as a target and has been added to tested platforms</li>
- <li>When scanning datasets an <code class="language-plaintext highlighter-rouge">ArrowReader</code> is now returned, which makes easier to create <code class="language-plaintext highlighter-rouge">VectorSchemaRoot</code> from it.</li>
- <li>Java Documentation had a overall improvement, with few sections added and most sections rewritten as more clear tutorials</li>
- <li>Overall improvements to FlightSQL support in Java</li>
- <li><a href="https://arrow.apache.org/cookbook/java/index.html">Java Cookbook</a> is now available</li>
-</ul>
-
-<h2 id="javascript-notes">JavaScript notes</h2>
-
-<ul>
- <li>Tables now allow setting arbitrary symbols, which enables support for passing Arrow tables to Vega. <a href="https://github.com/apache/arrow/pull/12907">ARROW-16209</a></li>
- <li>Arrow now supports <code class="language-plaintext highlighter-rouge">tableFromJSON</code> and struct vectors in <code class="language-plaintext highlighter-rouge">vectorFromArray</code>. <a href="https://github.com/apache/arrow/pull/12908">ARROW-16210</a></li>
- <li>Fixed support for appending null children in a StructBuilder. <a href="https://github.com/apache/arrow/pull/12451">ARROW-15705</a></li>
-</ul>
-
-<h2 id="python-notes">Python notes</h2>
-
-<p>In general, the Python bindings benefit from improvements in the C++ library
-(e.g. new compute functions); see the C++ notes above for additional details.
-In addition:</p>
-
-<ul>
- <li>Tables and Datasets now support the <code class="language-plaintext highlighter-rouge">join</code> operation to perform <code class="language-plaintext highlighter-rouge">left</code>, <code class="language-plaintext highlighter-rouge">right</code>, <code class="language-plaintext highlighter-rouge">full</code> joins of <code class="language-plaintext highlighter-rouge">inner</code> or <code class="language-plaintext highlighter-rouge">outer</code> types. The result of the join oper [...]
- <li>Additional legacy keywords and properties of the <code class="language-plaintext highlighter-rouge">ParquetDataset</code> class have been deprecated and will issue a warning, in favor of functionality based on the <code class="language-plaintext highlighter-rouge">pyarrow.dataset</code> functionality (<a href="https://issues.apache.org/jira/browse/ARROW-16119">ARROW-16119</a>).</li>
- <li>It is now possible to create references to nested fields in a Table or Dataset using <code class="language-plaintext highlighter-rouge">py.field("a", "b")</code> (<a href="https://issues.apache.org/jira/browse/ARROW-11259">ARROW-11259</a>).</li>
- <li>Docstrings in <code class="language-plaintext highlighter-rouge">Schema</code>, <code class="language-plaintext highlighter-rouge">ChunkedArray</code>, <code class="language-plaintext highlighter-rouge">Tensor</code>, <code class="language-plaintext highlighter-rouge">RecordBatch</code>, <code class="language-plaintext highlighter-rouge">parquet</code> and <code class="language-plaintext highlighter-rouge">Table</code> now include examples on how to use the methods and classes (<a [...]
- <li>Reading and writing Parquet files now supports encryption (<a href="https://issues.apache.org/jira/browse/ARROW-9947">ARROW-9947</a>). See the <a href="https://arrow.apache.org/docs/python/parquet.html#parquet-modular-encryption-columnar-encryption">docs</a> for more details.</li>
- <li>Support for <code class="language-plaintext highlighter-rouge">zoneinfo</code> (Python 3.9+) and <code class="language-plaintext highlighter-rouge">dateutil</code> timezones in conversion to Arrow data structures (<a href="https://issues.apache.org/jira/browse/">ARROW-5248</a>).</li>
- <li>Multiple bugfixes and segfaults resolved.</li>
-</ul>
-
-<h2 id="r-notes">R notes</h2>
-
-<p>This release includes:</p>
-
-<ul>
- <li>Support for over 20 additional <code class="language-plaintext highlighter-rouge">lubridate</code> and <code class="language-plaintext highlighter-rouge">base</code> date and time functions in Arrow dpylr queries,</li>
- <li>An API to allow external packages to define custom extension array types and custom conversions into Arrow types,</li>
- <li>Support for concatenating Arrays, RecordBatches, and Tables, including with <code class="language-plaintext highlighter-rouge">c()</code>, <code class="language-plaintext highlighter-rouge">rbind()</code> and <code class="language-plaintext highlighter-rouge">cbind()</code>.</li>
-</ul>
-
-<p>For more on what’s in the 8.0.0 R package, see the <a href="/docs/r/news/">R changelog</a>.</p>
-
-<h2 id="ruby-and-c-glib-notes">Ruby and C GLib notes</h2>
-
-<h3 id="ruby">Ruby</h3>
-
-<ul>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#values</code> of <code class="language-plaintext highlighter-rouge">MonthInterval</code> Type (<a href="https://issues.apache.org/jira/browse/ARROW-15749">ARROW-15749</a>)</li>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#raw_records</code> of <code class="language-plaintext highlighter-rouge">MonthInterval</code> type (<a href="https://issues.apache.org/jira/browse/ARROW-15750">ARROW-15750</a>)</li>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#values</code> of <code class="language-plaintext highlighter-rouge">DayTimeInterval</code> type (<a href="https://issues.apache.org/jira/browse/ARROW-15885">ARROW-15885</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">DayTimeIntervalArrayBuilder</code> to support to make <code class="language-plaintext highlighter-rouge">DayTimeIntervalArray</code> by a Hash with <code class="language-plaintext highlighter-rouge">:day</code> and <code class="language-plaintext highlighter-rouge">:millisecond</code> keys (<a href="https://issues.apache.org/jira/browse/ARROW-15918">ARROW-15918</a>)</li>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#raw_records</code> of <code class="language-plaintext highlighter-rouge">DayTimeInterval</code> type (<a href="https://issues.apache.org/jira/browse/ARROW-15886">ARROW-15886</a>)</li>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#values</code> of <code class="language-plaintext highlighter-rouge">MonthDayNanoInterval</code> type (<a href="https://issues.apache.org/jira/browse/ARROW-15924">ARROW-15924</a>)
- <ul>
- <li>Also add <code class="language-plaintext highlighter-rouge">MonthDayNanoIntervalArrayBuilder</code> to support to make <code class="language-plaintext highlighter-rouge">MonthDayNanoIntervalArray</code> by a Hash with <code class="language-plaintext highlighter-rouge">:month</code>, <code class="language-plaintext highlighter-rouge">:day</code>, and <code class="language-plaintext highlighter-rouge">:nanosecond</code> keys</li>
- </ul>
- </li>
- <li>Add support for <code class="language-plaintext highlighter-rouge">#raw_records</code> of <code class="language-plaintext highlighter-rouge">MonthDayNanoInterval</code> type (<a href="https://issues.apache.org/jira/browse/ARROW-15925">ARROW-15925</a>)</li>
- <li>Add Ruby-ish interfaces for <code class="language-plaintext highlighter-rouge">Parquet::BooleanStatistics</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16251">ARROW-16251</a>)</li>
-</ul>
-
-<h3 id="c-glib">C GLib</h3>
-
-<ul>
- <li>Add <code class="language-plaintext highlighter-rouge">gaflight_client_close</code> (<a href="https://issues.apache.org/jira/browse/ARROW-15487">ARROW-15487</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">GParquetFileMetadata</code> and <code class="language-plaintext highlighter-rouge">gparquet_arrow_file_reader_get_metadata</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16214">ARROW-16214</a>)</li>
- <li>Fix <code class="language-plaintext highlighter-rouge">GArrowGIOInputStream</code> so that all the data is completely read (<a href="https://issues.apache.org/jira/browse/ARROW-15626">ARROW-15626</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">garrow_string_array_builder_append_string_len</code> and <code class="language-plaintext highlighter-rouge">garrow_large_string_array_builder_append_string_len</code> (<a href="https://issues.apache.org/jira/browse/ARROW-15629">ARROW-15629</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">GParquetRowGroupMetadata</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16245">ARROW-16245</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">GParquetColumnChunkMetadata</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16250">ARROW-16250</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">GArrowGCSFileSystem</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16247">ARROW-16247</a>)</li>
- <li>Add <code class="language-plaintext highlighter-rouge">GParquetStatistics</code> and its family (<a href="https://issues.apache.org/jira/browse/ARROW-16251">ARROW-16251</a>)
- <ul>
- <li><code class="language-plaintext highlighter-rouge">GParquetBooleanStatistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetInt32Statistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetInt64Statistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetFloatStatistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetDoubleStatistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetByteArrayStatistics</code></li>
- <li><code class="language-plaintext highlighter-rouge">GParquetFixedLengthByteArrayStatistics</code></li>
- </ul>
- </li>
- <li>Add missing casts for <code class="language-plaintext highlighter-rouge">GArrowRoundMode</code> (<a href="https://issues.apache.org/jira/browse/ARROW-16296">ARROW-16296</a>)</li>
-</ul>
-
-<h2 id="rust-notes">Rust notes</h2>
-
-<p>The Rust projects have moved to separate repositories outside the
-main Arrow monorepo. For notes on the 13.0.0 release of the Rust
-implementation, see the <a href="https://github.com/apache/arrow-rs/blob/13.0.0/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 8.0.0 release. This covers over 3 months of development work and includes 586 resolved issues from 127 distinct contributors. See the Install Page to learn how to get the libraries for your platform. The release notes [...]
\ No newline at end of file
+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, [...]
\ No newline at end of file
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