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Posted to commits@arrow.apache.org by gi...@apache.org on 2021/05/04 13:18:01 UTC

[arrow-site] branch asf-site updated: Updating built site (build 1e8574561dd729d1701400aa6fc716676faf60a1)

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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 d701acf  Updating built site (build 1e8574561dd729d1701400aa6fc716676faf60a1)
d701acf is described below

commit d701acf7dd9128e2183f165dab8f827490865ef2
Author: Andy Grove <an...@users.noreply.github.com>
AuthorDate: Tue May 4 13:17:47 2021 +0000

    Updating built site (build 1e8574561dd729d1701400aa6fc716676faf60a1)
---
 blog/2021/05/04/rust-dev-workflow/index.html | 309 ++++++++++++++++++++++++++
 blog/index.html                              |  15 ++
 docs/c_glib/index.html                       |   4 +-
 feed.xml                                     | 318 +++++----------------------
 release/0.1.0.html                           |   4 +-
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new file mode 100644
index 0000000..22eadc8
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+    <title>A New Development Workflow for Arrow's Rust Implementation | Apache Arrow</title>
+    
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+<meta name="description" content="The Apache Arrow Rust community is excited to announce that its migration to a new development workflow is now complete! If you’re considering Rust as a language for working with columnar data, read on and see how your use case might benefit from our new and improved project setup. In recent months, members of the community have been working closely with Arrow’s Project Management Committee and other contributors to expand the set of available workflows  [...]
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+        
+<h1>
+  A New Development Workflow for Arrow's Rust Implementation
+</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">
+    04 May 2021
+  </span>
+  <br />
+  <span class="badge badge-secondary">By</span>
+  
+    <a class="mr-3" href="https://github.com/returnString">Ruan Pearce-Authers (ruanpa) </a>
+  
+
+  
+</p>
+
+
+        <!--
+
+-->
+
+<p>The Apache Arrow Rust community is excited to announce that its migration to a new development workflow is now complete! If you’re considering Rust as a language for working with columnar data, read on and see how your use case might benefit from our new and improved project setup.</p>
+
+<p>In recent months, members of the community have been working closely with Arrow’s <a href="https://arrow.apache.org/committers/">Project Management Committee</a> and other contributors to expand the set of available workflows for Arrow implementations. The goal was to define a new development process that ultimately:</p>
+<ul>
+  <li>Enables a faster release cadence that adheres to <a href="https://semver.org/">SemVer</a> where appropriate</li>
+  <li>Encourages maximum participation from the wider community with unified tooling</li>
+  <li>Ensures that we continue to uphold the tenets of <a href="https://www.apache.org/theapacheway/">The Apache Way</a></li>
+</ul>
+
+<p>If you’re just here for the highlights, the major outcomes of these discussions are as follows:</p>
+<ul>
+  <li>The Rust projects have moved to separate repositories, outside the main Arrow <a href="https://en.wikipedia.org/wiki/Monorepo">monorepo</a>
+    <ul>
+      <li><a href="https://github.com/apache/arrow-rs">arrow-rs</a> for the core Arrow, Arrow Flight, and Parquet implementations in Rust</li>
+      <li><a href="https://github.com/apache/arrow-datafusion">arrow-datafusion</a> for DataFusion and Ballista (more on these projects below!)</li>
+    </ul>
+  </li>
+  <li>The Rust community will use GitHub Issues for tracking feature development and issues, replacing the Jira instance maintained by the Apache Software Foundation (ASF)</li>
+  <li>DataFusion and Ballista will follow a new release cycle, independent of the main Arrow releases</li>
+</ul>
+
+<p>But why, as a community, have we decided to change our processes? Let’s take a slightly more in-depth look at the Rust implementation’s needs.</p>
+
+<h2 id="project-structure">Project Structure</h2>
+<p>The Rust implementation of Arrow actually consists of several distinct projects, or in Rust parlance, <a href="https://doc.rust-lang.org/book/ch07-01-packages-and-crates.html">“crates”</a>. In addition to the core crates, namely <code class="language-plaintext highlighter-rouge">arrow</code>, <code class="language-plaintext highlighter-rouge">arrow-flight</code>, and <code class="language-plaintext highlighter-rouge">parquet</code>, we also maintain:</p>
+<ul>
+  <li><a href="https://github.com/apache/arrow-datafusion/datafusion">DataFusion</a>: an extensible in-memory query execution engine using Arrow as its format</li>
+  <li><a href="https://github.com/apache/arrow-datafusion/ballista">Ballista</a>: a distributed compute platform, powered by Apache Arrow and DataFusion</li>
+</ul>
+
+<p>Whilst these projects are all closely related, with many shared contributors, they’re very much at different stages in their respective lifecycles. The core Arrow crate, as an implementation of a spec, has strict compatibility requirements with other versions of Arrow, and this is tested via rigorous cross-language integration tests.</p>
+
+<p>However, at the other end of the spectrum, DataFusion and Ballista are still nascent projects in their own right that undergo frequent backwards-incompatible changes. In the old workflow, DataFusion was released in lockstep with Arrow; because DataFusion users often need newly-contributed features or bugfixes on a tighter schedule than Arrow releases, we observed that many people in the community simply resorted to referencing our GitHub repository directly, rather than properly versi [...]
+
+<p>Ultimately, the decision was made to split the Rust crates into two separate repositories: <a href="https://github.com/apache/arrow-rs">arrow-rs</a> for the core Arrow functionality, and <a href="https://github.com/apache/arrow-datafusion">arrow-datafusion</a> for DataFusion and Ballista. There’s still work to be done on determining the exact release workflows for the latter, but this leaves us in a much better position to meet the broader Rust community’s expectations of crate versio [...]
+
+<h2 id="community-participation">Community Participation</h2>
+<p>All Apache projects are built on volunteer contribution; it’s a core principle of both the ASF and open-source software development more broadly. One point of friction that was observed in the previous workflow for the Rust community in particular was the requirement for issues to be logged in Arrow’s Jira project. This step required would-be contributors to first register an account, and then receive a permissions grant to manage tickets.</p>
+
+<p>To streamline this process for new community members, we’ve taken the decision to migrate to GitHub Issues for tracking both new development work and known bugs that need addressing, and bootstrapped our new repositories by importing their respective tickets from Jira. Creating issues to track non-trivial proposed features and enhancements is still required; this creates an opportunity for community review and helps ensure that feedback is delivered as early in the process as possible [...]
+
+<h2 id="get-involved">Get Involved</h2>
+<p>To further improve the onboarding flow for new Arrow contributors, we have started the process of labeling select issues as “good first issue” in <a href="https://github.com/apache/arrow-rs/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22">arrow-rs</a> and <a href="https://github.com/apache/arrow-datafusion/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22">arrow-datafusion</a>. These issues are small in scope but still serve as valuable contributions to the pro [...]
+
+<p>Not quite sure where to start with a particular issue, or curious about the status of one of our projects? Join the Arrow <a href="https://arrow.apache.org/community">mailing lists</a> or the #arrow-rust channel on the <a href="https://s.apache.org/slack-invite">ASF Slack</a> server.</p>
+
+<h2 id="in-closing">In Closing</h2>
+<p>As a final note: nothing here is intended as prescriptive advice. As a community, we’ve decided that these processes are the best fit for the current status of our projects, but this may change over time! There is, after all, <a href="https://en.wikipedia.org/wiki/No_Silver_Bullet">no silver bullet</a> for software engineering.</p>
+
+
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+      <p>&copy; 2016-2021 The Apache Software Foundation</p>
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diff --git a/blog/index.html b/blog/index.html
index 81d56ad..5a21278 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -215,6 +215,21 @@
   
   <p>
     <h3>
+      <a href="/blog/2021/05/04/rust-dev-workflow/">A New Development Workflow for Arrow's Rust Implementation</a>
+    </h3>
+    
+    <p>
+    <span class="blog-list-date">
+      4 May 2021
+    </span>
+    </p>
+    The Apache Arrow Rust community is excited to announce that its migration to a new development workflow is now complete! If you’re considering Rust as a language for working with columnar data, read on and see how your use case might benefit from our new and improved project setup. In...
+  </p>
+  
+
+  
+  <p>
+    <h3>
       <a href="/blog/2021/04/12/ballista-donation/">Ballista: A Distributed Scheduler for Apache Arrow</a>
     </h3>
     
diff --git a/docs/c_glib/index.html b/docs/c_glib/index.html
index b77ff6f..e14bc2a 100644
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+<meta property="article:published_time" content="2021-05-04T09:17:30-04:00" />
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 <meta property="twitter:image" content="https://arrow.apache.org/img/arrow.png" />
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+{"@type":"BlogPosting","headline":"Apache Arrow GLib (C)","dateModified":"2021-05-04T09:17:30-04:00","datePublished":"2021-05-04T09:17:30-04:00","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 Pla [...]
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--- a/feed.xml
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@@ -1,4 +1,55 @@
-<?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>2021-04-27T22:21:39-04:00</updated><id>https://arrow.apache.org/feed.xml</id><title type="html">Apache Arrow</title><subtitle>Apache Arrow is a cross-language developm [...]
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+
+--&gt;
+
+&lt;p&gt;The Apache Arrow Rust community is excited to announce that its migration to a new development workflow is now complete! If you’re considering Rust as a language for working with columnar data, read on and see how your use case might benefit from our new and improved project setup.&lt;/p&gt;
+
+&lt;p&gt;In recent months, members of the community have been working closely with Arrow’s &lt;a href=&quot;https://arrow.apache.org/committers/&quot;&gt;Project Management Committee&lt;/a&gt; and other contributors to expand the set of available workflows for Arrow implementations. The goal was to define a new development process that ultimately:&lt;/p&gt;
+&lt;ul&gt;
+  &lt;li&gt;Enables a faster release cadence that adheres to &lt;a href=&quot;https://semver.org/&quot;&gt;SemVer&lt;/a&gt; where appropriate&lt;/li&gt;
+  &lt;li&gt;Encourages maximum participation from the wider community with unified tooling&lt;/li&gt;
+  &lt;li&gt;Ensures that we continue to uphold the tenets of &lt;a href=&quot;https://www.apache.org/theapacheway/&quot;&gt;The Apache Way&lt;/a&gt;&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;p&gt;If you’re just here for the highlights, the major outcomes of these discussions are as follows:&lt;/p&gt;
+&lt;ul&gt;
+  &lt;li&gt;The Rust projects have moved to separate repositories, outside the main Arrow &lt;a href=&quot;https://en.wikipedia.org/wiki/Monorepo&quot;&gt;monorepo&lt;/a&gt;
+    &lt;ul&gt;
+      &lt;li&gt;&lt;a href=&quot;https://github.com/apache/arrow-rs&quot;&gt;arrow-rs&lt;/a&gt; for the core Arrow, Arrow Flight, and Parquet implementations in Rust&lt;/li&gt;
+      &lt;li&gt;&lt;a href=&quot;https://github.com/apache/arrow-datafusion&quot;&gt;arrow-datafusion&lt;/a&gt; for DataFusion and Ballista (more on these projects below!)&lt;/li&gt;
+    &lt;/ul&gt;
+  &lt;/li&gt;
+  &lt;li&gt;The Rust community will use GitHub Issues for tracking feature development and issues, replacing the Jira instance maintained by the Apache Software Foundation (ASF)&lt;/li&gt;
+  &lt;li&gt;DataFusion and Ballista will follow a new release cycle, independent of the main Arrow releases&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;p&gt;But why, as a community, have we decided to change our processes? Let’s take a slightly more in-depth look at the Rust implementation’s needs.&lt;/p&gt;
+
+&lt;h2 id=&quot;project-structure&quot;&gt;Project Structure&lt;/h2&gt;
+&lt;p&gt;The Rust implementation of Arrow actually consists of several distinct projects, or in Rust parlance, &lt;a href=&quot;https://doc.rust-lang.org/book/ch07-01-packages-and-crates.html&quot;&gt;“crates”&lt;/a&gt;. In addition to the core crates, namely &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;arrow&lt;/code&gt;, &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;arrow-flight&lt;/code&gt;, and &lt;code class=&quot;language-plaintext highlig [...]
+&lt;ul&gt;
+  &lt;li&gt;&lt;a href=&quot;https://github.com/apache/arrow-datafusion/datafusion&quot;&gt;DataFusion&lt;/a&gt;: an extensible in-memory query execution engine using Arrow as its format&lt;/li&gt;
+  &lt;li&gt;&lt;a href=&quot;https://github.com/apache/arrow-datafusion/ballista&quot;&gt;Ballista&lt;/a&gt;: a distributed compute platform, powered by Apache Arrow and DataFusion&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;p&gt;Whilst these projects are all closely related, with many shared contributors, they’re very much at different stages in their respective lifecycles. The core Arrow crate, as an implementation of a spec, has strict compatibility requirements with other versions of Arrow, and this is tested via rigorous cross-language integration tests.&lt;/p&gt;
+
+&lt;p&gt;However, at the other end of the spectrum, DataFusion and Ballista are still nascent projects in their own right that undergo frequent backwards-incompatible changes. In the old workflow, DataFusion was released in lockstep with Arrow; because DataFusion users often need newly-contributed features or bugfixes on a tighter schedule than Arrow releases, we observed that many people in the community simply resorted to referencing our GitHub repository directly, rather than properly [...]
+
+&lt;p&gt;Ultimately, the decision was made to split the Rust crates into two separate repositories: &lt;a href=&quot;https://github.com/apache/arrow-rs&quot;&gt;arrow-rs&lt;/a&gt; for the core Arrow functionality, and &lt;a href=&quot;https://github.com/apache/arrow-datafusion&quot;&gt;arrow-datafusion&lt;/a&gt; for DataFusion and Ballista. There’s still work to be done on determining the exact release workflows for the latter, but this leaves us in a much better position to meet the bro [...]
+
+&lt;h2 id=&quot;community-participation&quot;&gt;Community Participation&lt;/h2&gt;
+&lt;p&gt;All Apache projects are built on volunteer contribution; it’s a core principle of both the ASF and open-source software development more broadly. One point of friction that was observed in the previous workflow for the Rust community in particular was the requirement for issues to be logged in Arrow’s Jira project. This step required would-be contributors to first register an account, and then receive a permissions grant to manage tickets.&lt;/p&gt;
+
+&lt;p&gt;To streamline this process for new community members, we’ve taken the decision to migrate to GitHub Issues for tracking both new development work and known bugs that need addressing, and bootstrapped our new repositories by importing their respective tickets from Jira. Creating issues to track non-trivial proposed features and enhancements is still required; this creates an opportunity for community review and helps ensure that feedback is delivered as early in the process as po [...]
+
+&lt;h2 id=&quot;get-involved&quot;&gt;Get Involved&lt;/h2&gt;
+&lt;p&gt;To further improve the onboarding flow for new Arrow contributors, we have started the process of labeling select issues as “good first issue” in &lt;a href=&quot;https://github.com/apache/arrow-rs/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22&quot;&gt;arrow-rs&lt;/a&gt; and &lt;a href=&quot;https://github.com/apache/arrow-datafusion/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22&quot;&gt;arrow-datafusion&lt;/a&gt;. These issues are small in scope bu [...]
+
+&lt;p&gt;Not quite sure where to start with a particular issue, or curious about the status of one of our projects? Join the Arrow &lt;a href=&quot;https://arrow.apache.org/community&quot;&gt;mailing lists&lt;/a&gt; or the #arrow-rust channel on the &lt;a href=&quot;https://s.apache.org/slack-invite&quot;&gt;ASF Slack&lt;/a&gt; server.&lt;/p&gt;
+
+&lt;h2 id=&quot;in-closing&quot;&gt;In Closing&lt;/h2&gt;
+&lt;p&gt;As a final note: nothing here is intended as prescriptive advice. As a community, we’ve decided that these processes are the best fit for the current status of our projects, but this may change over time! There is, after all, &lt;a href=&quot;https://en.wikipedia.org/wiki/No_Silver_Bullet&quot;&gt;no silver bullet&lt;/a&gt; for software engineering.&lt;/p&gt;</content><author><name>ruanpa</name></author><category term="application" /><summary type="html">The Apache Arrow Rust co [...]
 
 --&gt;
 
@@ -1713,267 +1764,4 @@ been found and fixed, but more are still coming.  We hope to stabilize the
 situation in the next month or two.&lt;/p&gt;
 
 &lt;p&gt;The tensor and sparse tensor IPC read paths are not being exercised yet.
-They will be once a motivated core developer wants to own the topic.&lt;/p&gt;</content><author><name>apitrou</name></author><category term="application" /><summary type="html">Apache Arrow aims to allow fast and seamless data interchange between heterogenous runtimes and environments. Whether using the columnar IPC stream protocol, the Flight RPC layer, the Feather file format, the Plasma shared object store, or any application-specific data distribution mechanism, Arrow IPC implementat [...]
-
---&gt;
-
-&lt;p&gt;The Apache Arrow team is pleased to announce the 0.16.0 release. This covers
-about 4 months of development work and includes &lt;a href=&quot;https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20%3D%200.16.0&quot;&gt;&lt;strong&gt;735 resolved issues&lt;/strong&gt;&lt;/a&gt;
-from &lt;a href=&quot;https://arrow.apache.org/release/0.16.0.html#contributors&quot;&gt;&lt;strong&gt;99 distinct contributors&lt;/strong&gt;&lt;/a&gt;.  See the Install Page to learn how to
-get the libraries for your platform.&lt;/p&gt;
-
-&lt;p&gt;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 &lt;a href=&quot;https://arrow.apache.org/release/0.16.0.html&quot;&gt;complete changelog&lt;/a&gt;.&lt;/p&gt;
-
-&lt;h2 id=&quot;new-committers&quot;&gt;New committers&lt;/h2&gt;
-
-&lt;p&gt;Since the 0.15.0 release, we’ve added two new committers:&lt;/p&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;&lt;a href=&quot;https://github.com/eerhardt&quot;&gt;Eric Erhardt&lt;/a&gt;&lt;/li&gt;
-  &lt;li&gt;&lt;a href=&quot;https://github.com/jorisvandenbossche&quot;&gt;Joris Van den Bossche&lt;/a&gt;&lt;/li&gt;
-&lt;/ul&gt;
-
-&lt;p&gt;Thank you for all your contributions!&lt;/p&gt;
-
-&lt;h2 id=&quot;columnar-format-notes&quot;&gt;Columnar Format Notes&lt;/h2&gt;
-
-&lt;p&gt;We still have work to do to complete comprehensive columnar format integration
-testing between the Java and C++ libraries. Once this work is completed, we
-intend to make a 1.0.0 release with &lt;a href=&quot;https://arrow.apache.org/docs/format/Versioning.html&quot;&gt;forward and backward compatibility
-guarantees&lt;/a&gt;.&lt;/p&gt;
-
-&lt;p&gt;We &lt;a href=&quot;https://github.com/apache/arrow/commit/0ddc1f4737c35008cd06be1ee28472ebd7da68e2&quot;&gt;clarified some ambiguity&lt;/a&gt; on dictionary encoding in the specification.
-Work is on going to implement the features in Arrow libraries.&lt;/p&gt;
-
-&lt;h2 id=&quot;arrow-flight-rpc-notes&quot;&gt;Arrow Flight RPC notes&lt;/h2&gt;
-
-&lt;p&gt;Flight development work has recently focused on robustness and stability. If
-you are not yet familiar with Flight, read the &lt;a href=&quot;https://arrow.apache.org/blog/2019/10/13/introducing-arrow-flight/&quot;&gt;introductory blog post from
-October&lt;/a&gt;.&lt;/p&gt;
-
-&lt;p&gt;We are also discussing adding a “bidirectional RPC” which enables
-request-response workflows requiring both client and server to send data
-streams to be performed a single RPC request.&lt;/p&gt;
-
-&lt;h2 id=&quot;c-notes&quot;&gt;C++ notes&lt;/h2&gt;
-
-&lt;p&gt;Some work has been done to make the default build configuration of Arrow C++ as
-lean as possible. The Arrow C++ core can now be built without any external
-dependencies other than a new enough C++ compiler (gcc 4.9 or higher). Notably,
-Boost is no longer required. We invested effort to vendor some small essential
-dependencies: Flatbuffers, double-conversion, and uriparser. Many optional
-features requiring external libraries, like compression and GLog integration,
-are now disabled by default. Several subcomponents of the C++ project like the
-filesystem API, CSV, compute, dataset and JSON layers, as well as command-line
-utilities, are now disabled by default. The only toolchain dependency enabled
-by default is jemalloc, the recommended memory allocator, but this can also be
-disabled if desired. For illustration, see the &lt;a href=&quot;https://github.com/apache/arrow/blob/master/cpp/examples/minimal_build/build.sh&quot;&gt;example minimal build script and
-Dockerfile&lt;/a&gt;.&lt;/p&gt;
-
-&lt;p&gt;When enabled, the default jemalloc configuration has been tweaked to return
-memory more aggressively to the OS (ARROW-6910, ARROW-6994). We welcome
-feedback from users about our memory allocation configuration and performance
-in applications.&lt;/p&gt;
-
-&lt;p&gt;The array validation facilities have been vastly expanded and now exist in
-two flavors: the &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Validate&lt;/code&gt; method does a light-weight validation that’s
-O(1) in array size, while the potentially O(N) method &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;ValidateFull&lt;/code&gt; does
-thorough data validation (ARROW-6157).&lt;/p&gt;
-
-&lt;p&gt;The IO APIs now use &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Result&amp;lt;T&amp;gt;&lt;/code&gt; when returning both a Status
-and result value, rather than taking a pointer-out function parameter
-(ARROW-7235).&lt;/p&gt;
-
-&lt;h3 id=&quot;c-csv&quot;&gt;C++: CSV&lt;/h3&gt;
-
-&lt;p&gt;An option is added to attempt automatic dictionary encoding of string columns
-during reading a CSV file, until a cardinality limit is reached. When
-successful, it can make reading faster and the resulting Arrow data is
-much more memory-efficient (ARROW-3408).&lt;/p&gt;
-
-&lt;p&gt;The CSV APIs now use &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Result&amp;lt;T&amp;gt;&lt;/code&gt; when returning both a Status
-and result value, rather than taking a pointer-out function parameter
-(ARROW-7236).&lt;/p&gt;
-
-&lt;h3 id=&quot;c-datasets&quot;&gt;C++: Datasets&lt;/h3&gt;
-
-&lt;p&gt;The 0.16 release introduces the Datasets API to the C++ library, along with
-bindings in Python and R.  This API allows you to treat multiple files as a
-single logical dataset entity and make efficient selection queries against it.
-This release includes support for Parquet and Arrow IPC file formats.  Factory
-objects allow you to discover files in a directory recursively, inspect the
-schemas in the files, and performs some basic schema unification.  You may
-specify how file path segments map to partition, and there is support for
-auto-detecting some partition information, including Hive-style partitioning.
-The Datasets API includes a filter expression syntax as well as column
-selection.  These are evaluated with predicate pushdown, and for Parquet,
-evaluation is pushed down to row groups.&lt;/p&gt;
-
-&lt;h3 id=&quot;c-filesystem-layer&quot;&gt;C++: Filesystem layer&lt;/h3&gt;
-
-&lt;p&gt;An HDFS implementation of the FileSystem class is available (ARROW-6720). We
-plan to deprecate the prior bespoke C++ HDFS class in favor of the standardized
-filesystem API.&lt;/p&gt;
-
-&lt;p&gt;The filesystem APIs now use &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Result&amp;lt;T&amp;gt;&lt;/code&gt; when returning both a Status
-and result value, rather than taking a pointer-out function parameter
-(ARROW-7161).&lt;/p&gt;
-
-&lt;h3 id=&quot;c-ipc&quot;&gt;C++: IPC&lt;/h3&gt;
-
-&lt;p&gt;The Arrow IPC reader is being fuzzed continuously by the &lt;a href=&quot;https://google.github.io/oss-fuzz/&quot;&gt;OSS-Fuzz&lt;/a&gt;
-infrastructure, to detect undesirable behavior on invalid or malicious input.
-Several issues have already been found and fixed.&lt;/p&gt;
-
-&lt;h3 id=&quot;c-parquet&quot;&gt;C++: Parquet&lt;/h3&gt;
-
-&lt;p&gt;&lt;a href=&quot;https://github.com/apache/parquet-format/blob/master/Encryption.md&quot;&gt;Modular encryption&lt;/a&gt; is now supported (PARQUET-1300).&lt;/p&gt;
-
-&lt;p&gt;A performance regression when reading a file with a large number of columns has
-been fixed (ARROW-6876, ARROW-7059), as well as several bugs (PARQUET-1766,
-ARROW-6895).&lt;/p&gt;
-
-&lt;h3 id=&quot;c-tensors&quot;&gt;C++: Tensors&lt;/h3&gt;
-
-&lt;p&gt;CSC sparse matrices are supported (ARROW-4225).&lt;/p&gt;
-
-&lt;p&gt;The Tensor APIs now use &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Result&amp;lt;T&amp;gt;&lt;/code&gt; when returning both a Status
-and result value, rather than taking a pointer-out function parameter
-(ARROW-7420).&lt;/p&gt;
-
-&lt;h2 id=&quot;c-notes-1&quot;&gt;C# Notes&lt;/h2&gt;
-
-&lt;p&gt;There were a number of C# bug fixes this release. Note that the C# library is
-not yet being tested in CI against the other native Arrow implementations
-(integration tests). We are looking for more contributors for the C# project to
-help with this and other new feature development.&lt;/p&gt;
-
-&lt;h2 id=&quot;java-notes&quot;&gt;Java notes&lt;/h2&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;Added prose documentation describing how to work with the Java libraries.&lt;/li&gt;
-  &lt;li&gt;Some additional algorithms have been added to the “contrib” algorithms package:  multithreaded searching of ValueVectors,&lt;/li&gt;
-  &lt;li&gt;The memory modules have been refactored so non-netty allocators can now be used.&lt;/li&gt;
-  &lt;li&gt;A new utility for populating ValueVectors  more concisely for testing was introduced&lt;/li&gt;
-  &lt;li&gt;The “contrib” Avro adapter now supports Avro Logical type conversion to corresponding Arrow type.&lt;/li&gt;
-  &lt;li&gt;Various bug fixes across all packages&lt;/li&gt;
-&lt;/ul&gt;
-
-&lt;h2 id=&quot;python-notes&quot;&gt;Python notes&lt;/h2&gt;
-
-&lt;p&gt;pyarrow 0.16 will be the last release to support Python 2.7.&lt;/p&gt;
-
-&lt;p&gt;Python now has bindings for the datasets API (ARROW-6341) as well as the S3
-(ARROW-6655) and HDFS (ARROW-7310) filesystem implementations.&lt;/p&gt;
-
-&lt;p&gt;The Duration (ARROW-5855) and Fixed Size List (ARROW-7261) types are exposed
-in Python.&lt;/p&gt;
-
-&lt;p&gt;Sparse tensors can be converted to dense tensors (ARROW-6624).  They are
-also interoperable with the &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;pydata/sparse&lt;/code&gt; and &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;scipy.sparse&lt;/code&gt; libraries
-(ARROW-4223, ARROW-4224).&lt;/p&gt;
-
-&lt;p&gt;Pandas extension arrays now are able to roundtrip through Arrow conversion
-(ARROW-2428).&lt;/p&gt;
-
-&lt;p&gt;A memory leak when converting Arrow data to Pandas “object” data has been
-fixed (ARROW-6874).&lt;/p&gt;
-
-&lt;p&gt;Arrow is now tested against Python 3.8, and we now build manylinux2014 wheels
-for Python 3 (ARROW-7344).&lt;/p&gt;
-
-&lt;h2 id=&quot;r-notes&quot;&gt;R notes&lt;/h2&gt;
-
-&lt;p&gt;This release includes a &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;dplyr&lt;/code&gt; interface to Arrow Datasets,
-which let you work efficiently with large, multi-file datasets as a single entity.
-See &lt;a href=&quot;https://arrow.apache.org/docs/r/articles/dataset.html&quot;&gt;&lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;vignette(&quot;dataset&quot;, package = &quot;arrow&quot;)&lt;/code&gt;&lt;/a&gt; for more.&lt;/p&gt;
-
-&lt;p&gt;Another major area of work in this release was to improve the installation
-experience on Linux. A source package installation (as from CRAN) will now
-handle its C++ dependencies automatically, with no system dependencies beyond what R requires.
-For common Linux distributions and versions, installation will retrieve a prebuilt static
-C++ library for inclusion in the package; where this binary is not available,
-the package executes a bundled script that should build the Arrow C++ library.
-See &lt;a href=&quot;https://arrow.apache.org/docs/r/articles/install.html&quot;&gt;&lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;vignette(&quot;install&quot;, package = &quot;arrow&quot;)&lt;/code&gt;&lt;/a&gt; for details.&lt;/p&gt;
-
-&lt;p&gt;For more on what’s in the 0.16 R package, see the R &lt;a href=&quot;https://arrow.apache.org/docs/r/news/&quot;&gt;changelog&lt;/a&gt;.&lt;/p&gt;
-
-&lt;h2 id=&quot;ruby-and-c-glib-notes&quot;&gt;Ruby and C GLib notes&lt;/h2&gt;
-
-&lt;p&gt;Ruby and C GLib continues to follow the features in the C++ project.&lt;/p&gt;
-
-&lt;h3 id=&quot;ruby&quot;&gt;Ruby&lt;/h3&gt;
-
-&lt;p&gt;Ruby includes the following improvements.&lt;/p&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;Improve CSV save performance (ARROW-7474).&lt;/li&gt;
-  &lt;li&gt;Add support for saving/loading TSV (ARROW-7454).&lt;/li&gt;
-  &lt;li&gt;Add &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Arrow::Schema#build_expression&lt;/code&gt; to improve building &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;Gandiva::Expression&lt;/code&gt; (ARROW-6619).&lt;/li&gt;
-&lt;/ul&gt;
-
-&lt;h3 id=&quot;c-glib&quot;&gt;C GLib&lt;/h3&gt;
-
-&lt;p&gt;C GLib includes the following changes.&lt;/p&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;Add support for LargeList, LargeBinary, and LargeString (ARROW-6285, ARROW-6286).&lt;/li&gt;
-  &lt;li&gt;Add filter and take API for GArrowTable, GArrowChunkedArray, and GArrowRecordBatch (ARROW-7110, ARROW-7111).&lt;/li&gt;
-  &lt;li&gt;Add &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;garrow_table_combine_chunks()&lt;/code&gt; API (ARROW-7369).&lt;/li&gt;
-&lt;/ul&gt;
-
-&lt;h2 id=&quot;rust-notes&quot;&gt;Rust notes&lt;/h2&gt;
-
-&lt;p&gt;Support for Arrow data types has been improved, with the following array types now supported (ARROW-3690):&lt;/p&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;Fixed Size List and Fixed Size Binary&lt;/li&gt;
-  &lt;li&gt;Adding a String Array for utf-8 strings, and keeping the Binary Array for general binary data&lt;/li&gt;
-  &lt;li&gt;Duration and interval arrays.&lt;/li&gt;
-&lt;/ul&gt;
-
-&lt;p&gt;Initial work on Arrow IPC support has been completed, with readers and writers for streams and files implemented (ARROW-5180).&lt;/p&gt;
-
-&lt;h3 id=&quot;rust-datafusion&quot;&gt;Rust: DataFusion&lt;/h3&gt;
-
-&lt;p&gt;Query execution has been reimplemented with an extensible physical query plan. This allows other projects to add other plans, such as for distributed computing or for specific database servers (ARROW-5227).&lt;/p&gt;
-
-&lt;p&gt;Added support for writing query results to CSV (ARROW-6274).&lt;/p&gt;
-
-&lt;p&gt;The new Parquet -&amp;gt; Arrow reader is now used to read Parquet files (ARROW-6700).&lt;/p&gt;
-
-&lt;p&gt;Various other query improvements have been implemented, especially on grouping and aggregate queries (ARROW-6689).&lt;/p&gt;
-
-&lt;h3 id=&quot;rust-parquet&quot;&gt;Rust: Parquet&lt;/h3&gt;
-
-&lt;p&gt;The Arrow reader integration has been completed, allowing Parquet files to be
-read into Arrow memory (ARROW-4059).&lt;/p&gt;
-
-&lt;h2 id=&quot;development-notes&quot;&gt;Development notes&lt;/h2&gt;
-
-&lt;p&gt;Arrow has moved away from Travis-CI and is now using Github Actions for
-PR-based continuous integration.  This new CI configuration relies heavily
-on &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;docker-compose&lt;/code&gt;, making it easier for developers to reproduce builds
-locally, thanks to tremendous work by Krisztián Szűcs (ARROW-7101).&lt;/p&gt;
-
-&lt;h2 id=&quot;community-discussions-ongoing&quot;&gt;Community Discussions Ongoing&lt;/h2&gt;
-
-&lt;p&gt;There are a number of active discussions ongoing on the developer
-dev@arrow.apache.org mailing list. We look forward to hearing from the
-community there.&lt;/p&gt;
-
-&lt;ul&gt;
-  &lt;li&gt;Mandatory fields in IPC format: to ease input validation, it is being
-&lt;a href=&quot;https://mail-archives.apache.org/mod_mbox/arrow-dev/202001.mbox/%3C0dd13489-9221-459a-3560-1426738d3bb4%40python.org%3E&quot;&gt;proposed&lt;/a&gt; to mark some fields in our Flatbuffers schema “required”.
-Those fields are already semantically required, but are not considered so by
-the generated Flatbuffers verifier.  Before accepting this proposal, we need
-to ensure that it does not break binary compatibility with existing valid
-data.&lt;/li&gt;
-  &lt;li&gt;The C Data Interface has not yet been formally adopted, though the community
-has reached consensus to move forward after addressing various design
-questions and concerns.&lt;/li&gt;
-  &lt;li&gt;Guidelines for the use of “unsafe” in the Rust implementation are being
-&lt;a href=&quot;https://mail-archives.apache.org/mod_mbox/arrow-dev/202001.mbox/%3cMN2PR19MB347050FB22046485C0B2525EDD380@MN2PR19MB3470.namprd19.prod.outlook.com%3e&quot;&gt;discussed&lt;/a&gt;.&lt;/li&gt;
-&lt;/ul&gt;</content><author><name>pmc</name></author><category term="release" /><summary type="html">The Apache Arrow team is pleased to announce the 0.16.0 release. This covers about 4 months of development work and includes 735 resolved issues from 99 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 improvements have bee [...]
\ No newline at end of file
+They will be once a motivated core developer wants to own the topic.&lt;/p&gt;</content><author><name>apitrou</name></author><category term="application" /><summary type="html">Apache Arrow aims to allow fast and seamless data interchange between heterogenous runtimes and environments. Whether using the columnar IPC stream protocol, the Flight RPC layer, the Feather file format, the Plasma shared object store, or any application-specific data distribution mechanism, Arrow IPC implementat [...]
\ No newline at end of file
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diff --git a/release/0.17.1.html b/release/0.17.1.html
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diff --git a/release/0.2.0.html b/release/0.2.0.html
index 1a80a0f..80b81c4 100644
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diff --git a/release/0.3.0.html b/release/0.3.0.html
index de58051..a09dc01 100644
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diff --git a/release/0.4.0.html b/release/0.4.0.html
index d105e30..384490d 100644
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diff --git a/release/0.4.1.html b/release/0.4.1.html
index 67eeeaa..03d07b8 100644
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diff --git a/release/0.5.0.html b/release/0.5.0.html
index 6b2f616..ba1706a 100644
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diff --git a/release/0.6.0.html b/release/0.6.0.html
index 39e5df4..ceca5e5 100644
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diff --git a/release/0.7.0.html b/release/0.7.0.html
index 37a2029..a0568bd 100644
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diff --git a/release/0.7.1.html b/release/0.7.1.html
index 7ef892e..ca0df64 100644
--- a/release/0.7.1.html
+++ b/release/0.7.1.html
@@ -20,13 +20,13 @@
 <meta property="og:site_name" content="Apache Arrow" />
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 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2021-04-27T22:21:39-04:00" />
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diff --git a/release/0.8.0.html b/release/0.8.0.html
index 79005d6..6042cdf 100644
--- a/release/0.8.0.html
+++ b/release/0.8.0.html
@@ -20,13 +20,13 @@
 <meta property="og:site_name" content="Apache Arrow" />
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-<meta property="article:published_time" content="2021-04-27T22:21:39-04:00" />
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diff --git a/release/0.9.0.html b/release/0.9.0.html
index 6939faa..c72e8ad 100644
--- a/release/0.9.0.html
+++ b/release/0.9.0.html
@@ -20,13 +20,13 @@
 <meta property="og:site_name" content="Apache Arrow" />
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-<meta property="article:published_time" content="2021-04-27T22:21:39-04:00" />
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diff --git a/release/1.0.0.html b/release/1.0.0.html
index 6654c0b..c5ff7f3 100644
--- a/release/1.0.0.html
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diff --git a/release/1.0.1.html b/release/1.0.1.html
index b7cac77..dcba168 100644
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diff --git a/release/2.0.0.html b/release/2.0.0.html
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diff --git a/release/3.0.0.html b/release/3.0.0.html
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diff --git a/release/4.0.0.html b/release/4.0.0.html
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