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Posted to commits@arrow.apache.org by gi...@apache.org on 2021/08/04 13:19:17 UTC
[arrow-site] branch asf-site updated: Updating built site (build
ec70f41ce7688b35fb463d56b03de6eb49b773c2)
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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 5de0cc2 Updating built site (build ec70f41ce7688b35fb463d56b03de6eb49b773c2)
5de0cc2 is described below
commit 5de0cc202b898c561ad2711f5268b2473ca8280a
Author: Neal Richardson <ne...@gmail.com>
AuthorDate: Wed Aug 4 13:19:12 2021 +0000
Updating built site (build ec70f41ce7688b35fb463d56b03de6eb49b773c2)
---
blog/2020/07/29/5.0.0-release/index.html | 528 +++++++++++++++++++++++++++++++
blog/index.html | 15 +
docs/c_glib/index.html | 4 +-
feed.xml | 398 +++++++++++------------
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/index.html | 4 +-
35 files changed, 799 insertions(+), 270 deletions(-)
diff --git a/blog/2020/07/29/5.0.0-release/index.html b/blog/2020/07/29/5.0.0-release/index.html
new file mode 100644
index 0000000..9a754bf
--- /dev/null
+++ b/blog/2020/07/29/5.0.0-release/index.html
@@ -0,0 +1,528 @@
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+<meta name="description" content="The Apache Arrow team is pleased to announce the 5.0.0 release. This covers 3 months of development work and includes 684 commits from 99 distinct contributors in 2 repositories. 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 been made: we refer you to the complete changelogs for the apache/ar [...]
+<meta property="og:description" content="The Apache Arrow team is pleased to announce the 5.0.0 release. This covers 3 months of development work and includes 684 commits from 99 distinct contributors in 2 repositories. 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 been made: we refer you to the complete changelogs for the ap [...]
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+
+<h1>
+ Apache Arrow 5.0.0 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">
+ 29 Jul 2020
+ </span>
+ <br />
+ <span class="badge badge-secondary">By</span>
+
+ <a class="mr-3" href="https://arrow.apache.org">The Apache Arrow PMC (pmc) </a>
+
+
+
+</p>
+
+
+ <!--
+
+-->
+
+<p>The Apache Arrow team is pleased to announce the 5.0.0 release. This covers
+3 months of development work and includes <strong>684 commits</strong> from
+<a href="/release/5.0.0.html#contributors"><strong>99 distinct contributors</strong></a> in 2 repositories. 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 complete changelogs for the <a href="/release/5.0.0.html#changelog"><code class="language-plaintext highlighter-rouge">apache/arrow</code></a> and
+<a href="https://github.com/apache/arrow-rs/blob/5.0.0/CHANGELOG.md"><code class="language-plaintext highlighter-rouge">apache/arrow-rs</code></a> repositories.</p>
+
+<h2 id="community">Community</h2>
+
+<p>Since the 4.0.0 release, Daniël Heres, Kazuaki Ishizaki, Dominik Moritz, and Weston Pace
+have been invited as committers to Arrow,
+and Benjamin Kietzman and David Li have joined the Project Management Committee
+(PMC). Thank you for all of your contributions!</p>
+
+<h2 id="columnar-format-notes">Columnar Format Notes</h2>
+
+<p>Official IANA Media types (MIME types) have been registered for Apache
+Arrow IPC protocol data, both <a href="/docs/format/Columnar.html#ipc-streaming-format">stream</a>
+and <a href="/docs/format/Columnar.html#ipc-file-format">file</a> variants:</p>
+
+<ul>
+ <li>https://www.iana.org/assignments/media-types/application/vnd.apache.arrow.stream</li>
+ <li>https://www.iana.org/assignments/media-types/application/vnd.apache.arrow.file</li>
+</ul>
+
+<p>We recommend <code class="language-plaintext highlighter-rouge">.arrow</code> as the IPC file format file extension and <code class="language-plaintext highlighter-rouge">.arrows</code> for
+the IPC streaming format file extension.</p>
+
+<h2 id="arrow-flight-rpc-notes">Arrow Flight RPC notes</h2>
+
+<p>The Go implementation now supports custom metadata and middleware, and has
+been added to integration testing.</p>
+
+<p>In Python, some operations can now be interrupted via Control-C.</p>
+
+<h2 id="c-notes">C++ notes</h2>
+
+<p><code class="language-plaintext highlighter-rouge">MakeArrayFromScalar</code> now works for fixed-size binary types (ARROW-13321).</p>
+
+<h3 id="compute-layer">Compute layer</h3>
+
+<p>The following <a href="/docs/cpp/compute.html">compute functions</a>
+were added:</p>
+
+<ul>
+ <li>
+ <p>aggregations: <code class="language-plaintext highlighter-rouge">index</code></p>
+ </li>
+ <li>
+ <p>scalar arithmetic and math functions: <code class="language-plaintext highlighter-rouge">abs</code>, <code class="language-plaintext highlighter-rouge">abs_checked</code>, <code class="language-plaintext highlighter-rouge">acos</code>,
+<code class="language-plaintext highlighter-rouge">acos_checked</code>, <code class="language-plaintext highlighter-rouge">asin</code>, <code class="language-plaintext highlighter-rouge">asin_checked</code>, <code class="language-plaintext highlighter-rouge">atan</code>, <code class="language-plaintext highlighter-rouge">atan2</code>, <code class="language-plaintext highlighter-rouge">ceil</code>, <code class="language-plaintext highlighter-rouge">cos</code>,
+<code class="language-plaintext highlighter-rouge">cos_checked</code>, <code class="language-plaintext highlighter-rouge">floor</code>, <code class="language-plaintext highlighter-rouge">ln</code>, <code class="language-plaintext highlighter-rouge">ln_checked</code>, <code class="language-plaintext highlighter-rouge">log10</code>, <code class="language-plaintext highlighter-rouge">log10_checked</code>,
+<code class="language-plaintext highlighter-rouge">log1p</code>, <code class="language-plaintext highlighter-rouge">log1p_checked</code>, <code class="language-plaintext highlighter-rouge">log2</code>, <code class="language-plaintext highlighter-rouge">log2_checked</code>, <code class="language-plaintext highlighter-rouge">negate</code>, <code class="language-plaintext highlighter-rouge">negate_checked</code>,
+<code class="language-plaintext highlighter-rouge">sign</code>, <code class="language-plaintext highlighter-rouge">sin</code>, <code class="language-plaintext highlighter-rouge">sin_checked</code>, <code class="language-plaintext highlighter-rouge">tan</code>, <code class="language-plaintext highlighter-rouge">tan_checked</code>, <code class="language-plaintext highlighter-rouge">trunc</code></p>
+ </li>
+ <li>
+ <p>scalar bitwise functions: <code class="language-plaintext highlighter-rouge">bit_wise_and</code>, <code class="language-plaintext highlighter-rouge">bit_wise_not</code>, <code class="language-plaintext highlighter-rouge">bit_wise_or</code>,
+<code class="language-plaintext highlighter-rouge">bit_wise_xor</code>, <code class="language-plaintext highlighter-rouge">shift_left</code>, <code class="language-plaintext highlighter-rouge">shift_left_checked</code>, <code class="language-plaintext highlighter-rouge">shift_right</code>,
+<code class="language-plaintext highlighter-rouge">shift_right_checked</code></p>
+ </li>
+ <li>
+ <p>scalar string functions: <code class="language-plaintext highlighter-rouge">ascii_center</code>, <code class="language-plaintext highlighter-rouge">ascii_lpad</code>, <code class="language-plaintext highlighter-rouge">ascii_reverse</code>,
+<code class="language-plaintext highlighter-rouge">ascii_rpad</code>, <code class="language-plaintext highlighter-rouge">binary_join</code>, <code class="language-plaintext highlighter-rouge">binary_join_element_wise</code>,
+<code class="language-plaintext highlighter-rouge">binary_replace_slice</code>, <code class="language-plaintext highlighter-rouge">count_substring</code>, <code class="language-plaintext highlighter-rouge">count_substring_regex</code>,
+<code class="language-plaintext highlighter-rouge">ends_with</code>, <code class="language-plaintext highlighter-rouge">find_substring</code>, <code class="language-plaintext highlighter-rouge">find_substring_regex</code>, <code class="language-plaintext highlighter-rouge">match_like</code>,
+<code class="language-plaintext highlighter-rouge">split_pattern_regex</code>, <code class="language-plaintext highlighter-rouge">starts_with</code>, <code class="language-plaintext highlighter-rouge">utf8_center</code>, <code class="language-plaintext highlighter-rouge">utf8_lpad</code>,
+<code class="language-plaintext highlighter-rouge">utf8_replace_slice</code>, <code class="language-plaintext highlighter-rouge">utf8_rpad</code>, <code class="language-plaintext highlighter-rouge">utf8_reverse</code>, <code class="language-plaintext highlighter-rouge">utf8_slice_codepoints</code></p>
+ </li>
+ <li>
+ <p>scalar temporal functions: <code class="language-plaintext highlighter-rouge">day</code>, <code class="language-plaintext highlighter-rouge">day_of_week</code>, <code class="language-plaintext highlighter-rouge">day_of_year</code>,
+<code class="language-plaintext highlighter-rouge">iso_calendar</code>, <code class="language-plaintext highlighter-rouge">iso_week</code>, <code class="language-plaintext highlighter-rouge">iso_year</code>, <code class="language-plaintext highlighter-rouge">hour</code>, <code class="language-plaintext highlighter-rouge">microsecond</code>, <code class="language-plaintext highlighter-rouge">millisecond</code>,
+<code class="language-plaintext highlighter-rouge">minute</code>, <code class="language-plaintext highlighter-rouge">month</code>, <code class="language-plaintext highlighter-rouge">nanosecond</code>, <code class="language-plaintext highlighter-rouge">quarter</code>, <code class="language-plaintext highlighter-rouge">second</code>, <code class="language-plaintext highlighter-rouge">subsecond</code>, <code class="language-plaintext highlighter-rouge">year</code></p>
+ </li>
+ <li>
+ <p>other scalar functions: <code class="language-plaintext highlighter-rouge">case_when</code>, <code class="language-plaintext highlighter-rouge">coalesce</code>, <code class="language-plaintext highlighter-rouge">if_else</code>, <code class="language-plaintext highlighter-rouge">is_finite</code>,
+<code class="language-plaintext highlighter-rouge">is_inf</code>, <code class="language-plaintext highlighter-rouge">is_nan</code>, <code class="language-plaintext highlighter-rouge">max_element_wise</code>, <code class="language-plaintext highlighter-rouge">min_element_wise</code>, <code class="language-plaintext highlighter-rouge">make_struct</code></p>
+ </li>
+ <li>
+ <p>vector functions: <code class="language-plaintext highlighter-rouge">replace_with_mask</code></p>
+ </li>
+</ul>
+
+<p>Duplicates are now allowed in <code class="language-plaintext highlighter-rouge">SetLookupOptions::value_set</code> (ARROW-12554).</p>
+
+<p>Decimal types are now supported by some basic arithmetic functions (ARROW-12074).</p>
+
+<p>The <code class="language-plaintext highlighter-rouge">take</code> function now supports dense unions (ARROW-13005).</p>
+
+<p>It is now possible to cast between dictionary types with different index
+types (ARROW-11673).</p>
+
+<p>Sorting is now implemented for boolean input (ARROW-12016).</p>
+
+<h3 id="csv">CSV</h3>
+
+<p>The streaming CSV reader can now take some advantage of multiple threads (ARROW-11889).</p>
+
+<p>The CSV reader tries to make its errors more informative by adding the
+row number when it is known, i.e. when parallel reading is disabled (ARROW-12675).</p>
+
+<p>A new option <code class="language-plaintext highlighter-rouge">ReaderOptions::skip_rows_after_names</code> allows skipping a number
+of rows <em>after</em> reading the column names (as opposed to
+<code class="language-plaintext highlighter-rouge">ReaderOptions::skip_rows</code>).</p>
+
+<p>Quoted strings can now be treated as always non-null (ARROW-10115).</p>
+
+<h3 id="dataset-layer">Dataset layer</h3>
+
+<p>The asynchronous scanner introduced in 4.0.0 has been improved with truly
+asynchronous readers implemented for CSV, Parquet, and IPC file formats and
+file-level parallelism added. This mode is controlled by a flag <code class="language-plaintext highlighter-rouge">use_async</code> that
+can be passed into methods which scan a dataset. Setting this flag to True
+will have significant improvements on filesystems with high latency or parallel
+reads (e.g. S3).</p>
+
+<p>A CountRows method has been added to count rows matching a predicate; where
+possible, this will use metadata in files instead of reading the data itself.</p>
+
+<p>CSV datasets can now be written, and when reading a CSV dataset, explicit types can
+now be specified for a subset of columns while allowing the rest to still be inferred.</p>
+
+<h3 id="io-and-filesystem-layer">IO and Filesystem layer</h3>
+
+<p>The I/O thread pool size can now be adjusted at runtime (ARROW-12760).
+The default size remains 8 threads.</p>
+
+<p>Streams now can have auxiliary metadata, depending on the backend. This
+has been implemented for the S3 filesystems, where a couple metadata
+keys are supported such as <code class="language-plaintext highlighter-rouge">Content-Type</code> and <code class="language-plaintext highlighter-rouge">ACL</code> (ARROW-11161, ARROW-12719).</p>
+
+<p>The HadoopFileSystem implementation now implements the FileSystem abstraction
+more faithfully (ARROW-12790).</p>
+
+<h3 id="parquet">Parquet</h3>
+
+<p>The new LZ4_RAW compression scheme was implemented (PARQUET-1998).
+Unlike the legacy LZ4 compression scheme, it is defined unambiguously
+and should provide better portability once other Parquet implementations
+catch up.</p>
+
+<h2 id="go-notes">Go notes</h2>
+
+<h3 id="flight">Flight</h3>
+
+<ul>
+ <li>Flight Client and Server now support Custom Metadata through the functions <code class="language-plaintext highlighter-rouge">flight.NewClientWithMiddleware</code> and <code class="language-plaintext highlighter-rouge">flight.NewServerWithMiddleware</code>. Functions
+<code class="language-plaintext highlighter-rouge">flight.NewFlightClient</code>, <code class="language-plaintext highlighter-rouge">flight.NewFlightServer</code>, <code class="language-plaintext highlighter-rouge">flight.CreateServerBearerTokenAuthInterceptors</code> have been deprecated in favor of using the new middleware. <a href="https://github.com/apache/arrow/pull/10633">#10633</a></li>
+ <li>Flight Client <code class="language-plaintext highlighter-rouge">AuthHandler</code> no longer overwrites outgoing metadata, correctly appending new metadata without overwriting existing metadata <a href="https://github.com/apache/arrow/pull/10297">#10297</a></li>
+ <li>Flight AppMetadata field is now exposed both for Reading and Writing via <code class="language-plaintext highlighter-rouge">flight.Reader#LatestAppMetadata()</code> and <code class="language-plaintext highlighter-rouge">flight.Writer#WriteWithAppMetadata</code> functions <a href="https://github.com/apache/arrow/pull/10142">#10142</a></li>
+</ul>
+
+<h3 id="other-enhancements">Other enhancements</h3>
+
+<ul>
+ <li><a href="https://github.com/apache/arrow/pull/10106">Map</a> and <a href="https://github.com/apache/arrow/pull/10203">Extension</a> Datatypes are now implemented for Arrow Arrays</li>
+ <li><a href="https://github.com/apache/arrow/10071">Schema package</a> and first part of <a href="https://github.com/apache/arrow/10379">Encoding package</a> added for Golang Parquet Implementation</li>
+</ul>
+
+<h2 id="java-notes">Java notes</h2>
+
+<p>Highlighted improvements and fixes:</p>
+
+<ul>
+ <li>Improved support for extension types using a complex storage type, e.g. struct, map or union. These can now extend
+the <code class="language-plaintext highlighter-rouge">ExtensionTypeVector</code> base class.</li>
+ <li>Union vectors now extend <code class="language-plaintext highlighter-rouge">AbstractContainerVector</code> to be consistent with other vectors.</li>
+ <li>Guava dependency updated to 30.1.1</li>
+ <li>Memory leak fixed if an exception occurs when reading IPC messages from a channel. <a href="https://github.com/apache/arrow/pull/10423">#10423</a></li>
+ <li>Flight error metadata is now propagated to the client. <a href="https://github.com/apache/arrow/pull/10370">#10370</a></li>
+ <li>JDBC adapter now preserves nullability. <a href="https://github.com/apache/arrow/pull/10285">#10285</a></li>
+ <li>The memory rounding policy is respected when allocating vector buffers. This helps saving memory space. <a href="https://github.com/apache/arrow/pull/10576">#10576</a></li>
+</ul>
+
+<p>API compatibility changes:</p>
+
+<ul>
+ <li>Complex vectors now return covariant types from <code class="language-plaintext highlighter-rouge">getObject(int)</code>. <a href="https://github.com/apache/arrow/pull/9964">#9964</a></li>
+</ul>
+
+<h2 id="javascript-notes">JavaScript notes</h2>
+
+<ul>
+ <li>Tables do not extend DataFrames anymore. This enables smaller bundles. <a href="https://github.com/apache/arrow/pull/10277">#10277</a></li>
+ <li>Arrow uses closure compiler for all UMD bundles, making them smaller. <a href="https://github.com/apache/arrow/pull/10281">#10281</a></li>
+ <li>The npm package now comes with declaration maps for better navigation from types to source code. <a href="https://github.com/apache/arrow/pull/10673">#10673</a></li>
+ <li>Updated dependencies and improvements to the code.</li>
+</ul>
+
+<h2 id="python-notes">Python notes</h2>
+
+<ul>
+ <li>Datasets can now scan files asynchronously when the <code class="language-plaintext highlighter-rouge">use_async=True</code> option is provided to <code class="language-plaintext highlighter-rouge">Dataset.scanner</code>, <code class="language-plaintext highlighter-rouge">Dataset.to_table</code>, or <code class="language-plaintext highlighter-rouge">Dataset.to_batches</code> methods. This should provide better performance in environments where I/O can be slow, such as with remote s [...]
+ <li>Arrow now provides builtin support for writing CSV files through <code class="language-plaintext highlighter-rouge">pyarrow.csv.write_csv</code></li>
+ <li>Wheels for Apple M1 Macs are now provided.</li>
+ <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>It is now possible to access ORC file metadata from Python <code class="language-plaintext highlighter-rouge">ORCFile</code> objects</li>
+ <li>Building a <code class="language-plaintext highlighter-rouge">StructArray</code> now accepts a <code class="language-plaintext highlighter-rouge">mask</code> like other arrays</li>
+ <li>Many updates and fixes for the documentation</li>
+</ul>
+
+<h2 id="r-notes">R notes</h2>
+
+<p>In this release, we’ve more than doubled the number of functions you can call on Arrow Datasets inside <code class="language-plaintext highlighter-rouge">dplyr::filter()</code>, <code class="language-plaintext highlighter-rouge">mutate()</code>, and <code class="language-plaintext highlighter-rouge">arrange()</code>, including many more string, datetime, and math functions. You can also write Datasets to CSV files, in addition to Parquet and Feather. We’ve also deepened support for th [...]
+
+<p>For more on what’s in the 5.0.0 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>
+
+<p>Apache Arrow Flight support is started. But <code class="language-plaintext highlighter-rouge">ListFlights</code> is only supported for now. More features will be implemented in the next major release.</p>
+
+<h3 id="ruby">Ruby</h3>
+
+<p>You need gobject-introspection gem 3.4.5 or later to implement your Apache Arrow Flight server. If you only use Apache Arrow Flight client, gobject-introspection gem 3.4.5 or later isn’t required.</p>
+
+<p>Here are highlighted improvements:</p>
+
+<ul>
+ <li>
+ <p>Compute functions accept raw Ruby objects such as <code class="language-plaintext highlighter-rouge">true</code>, <code class="language-plaintext highlighter-rouge">Integer</code>, <code class="language-plaintext highlighter-rouge">Array</code> and <code class="language-plaintext highlighter-rouge">String</code>:</p>
+
+ <div class="language-ruby highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">add_function</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Function</span><span class="p">.</span><span class="nf">find</span><span class="p">(</span><span class="s2">"add"</span><span class="p">)</span>
+<span class="c1"># Not shortcut version</span>
+<span class="n">augend</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Int8Array</span><span class="p">.</span><span class="nf">new</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
+<span class="n">addend</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Int8Scalar</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
+<span class="n">args</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="no">Arrow</span><span class="o">::</span><span class="no">ArrayDatum</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="n">augend</span><span class="p">),</span>
+ <span class="no">Arrow</span><span class="o">::</span><span class="no">ScalarDatum</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="n">addend</span><span class="p">),</span>
+<span class="p">]</span>
+<span class="n">add_function</span><span class="p">.</span><span class="nf">execute</span><span class="p">(</span><span class="n">args</span><span class="p">).</span><span class="nf">value</span><span class="p">.</span><span class="nf">to_a</span> <span class="c1"># => [6, 7, 8]</span>
+<span class="c1"># Shortcut version</span>
+<span class="n">add_function</span><span class="p">.</span><span class="nf">execute</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="mi">5</span><span class="p">]).</span><span class="nf">value</span><span class="p">.</span><span class="nf">to_a</span> <span class="c1"># => [6, 7, 8]</span>
+</code></pre></div> </div>
+ </li>
+ <li>
+ <p><code class="language-plaintext highlighter-rouge">Arrow::PrimaryArray</code> and <code class="language-plaintext highlighter-rouge">Arrow::Buffer</code> can be used as MemoryView that is added in Ruby 3.0.</p>
+ </li>
+</ul>
+
+<p>There are some backward incompatible changes:</p>
+
+<ul>
+ <li><code class="language-plaintext highlighter-rouge">Arrow::CountOptions</code> and <code class="language-plaintext highlighter-rouge">Arrow::CountMode</code> are removed. Use <code class="language-plaintext highlighter-rouge">Arrow::ScalarAggregateOptions</code> instead.</li>
+</ul>
+
+<h3 id="c-glib">C GLib</h3>
+
+<p>There are some backward incompatible changes:</p>
+
+<ul>
+ <li><code class="language-plaintext highlighter-rouge">GArrowCountOptions</code> and <code class="language-plaintext highlighter-rouge">GArrowCountMode</code> are removed. Use <code class="language-plaintext highlighter-rouge">GArrowScalarAggregateOptions</code> instead.</li>
+ <li><code class="language-plaintext highlighter-rouge">garrow_array_equal_range()</code> requires <code class="language-plaintext highlighter-rouge">GArrowEqualOptions</code>.</li>
+ <li>Prefix in arrow-dataset-glib is changed to <code class="language-plaintext highlighter-rouge">gadataset_</code>/<code class="language-plaintext highlighter-rouge">GADATASET_</code> from <code class="language-plaintext highlighter-rouge">gad_</code>/<code class="language-plaintext highlighter-rouge">GAD_</code>.</li>
+ <li><code class="language-plaintext highlighter-rouge">GADScanOptions</code>, <code class="language-plaintext highlighter-rouge">GADScanTask</code> and <code class="language-plaintext highlighter-rouge">GADInMemoryScanTask</code> are removed. Use <code class="language-plaintext highlighter-rouge">gadataset_begin_scan()</code> or <code class="language-plaintext highlighter-rouge">gadataset_to_table()</code> instead.</li>
+ <li><code class="language-plaintext highlighter-rouge">GArrowCompareOptions</code>, <code class="language-plaintext highlighter-rouge">GArrowCompareOperator</code> and <code class="language-plaintext highlighter-rouge">garrow_*_array_compare()</code> are removed. Use <code class="language-plaintext highlighter-rouge">equal</code>, <code class="language-plaintext highlighter-rouge">not_equal</code>, <code class="language-plaintext highlighter-rouge">less_than</code>, <code class="langua [...]
+</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 5.0.0 release of the Rust
+implementation, see the <a href="https://github.com/apache/arrow-rs/blob/5.0.0/CHANGELOG.md">Arrow Rust changelog</a> and the
+<a href="/blog/2021/07/29/5.0.0-rs-release/">Apache Arrow Rust 5.0.0 Release blog post</a>.</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>© 2016-2021 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 867dac8..043c2fe 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -335,6 +335,21 @@
<p>
<h3>
+ <a href="/blog/2020/07/29/5.0.0-release/">Apache Arrow 5.0.0 Release</a>
+ </h3>
+
+ <p>
+ <span class="blog-list-date">
+ 29 July 2020
+ </span>
+ </p>
+ The Apache Arrow team is pleased to announce the 5.0.0 release. This covers 3 months of development work and includes 684 commits from 99 distinct contributors in 2 repositories. See the Install Page to learn how to get the libraries for your platform. The release notes below are not exhaustive...
+ </p>
+
+
+
+ <p>
+ <h3>
<a href="/blog/2020/07/29/cpp-build-simplification/">Making Arrow C++ Builds Simpler, Smaller, and Faster</a>
</h3>
diff --git a/docs/c_glib/index.html b/docs/c_glib/index.html
index d4fde8d..9e342cb 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.png" />
<meta property="og:type" content="article" />
-<meta property="article:published_time" content="2021-07-30T20:49:50-04:00" />
+<meta property="article:published_time" content="2021-08-04T09:18:52-04:00" />
<meta name="twitter:card" content="summary_large_image" />
<meta property="twitter:image" content="https://arrow.apache.org/img/arrow.png" />
<meta property="twitter:title" content="Apache Arrow GLib (C)" />
<meta name="twitter:site" content="@ApacheArrow" />
<script type="application/ld+json">
-{"datePublished":"2021-07-30T20:49:50-04:00","headline":"Apache Arrow GLib (C)","dateModified":"2021-07-30T20:49:50-04:00","mainEntityOfPage":{"@type":"WebPage","@id":"https://arrow.apache.org/docs/c_glib/"},"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 [...]
+{"datePublished":"2021-08-04T09:18:52-04:00","headline":"Apache Arrow GLib (C)","dateModified":"2021-08-04T09:18:52-04:00","mainEntityOfPage":{"@type":"WebPage","@id":"https://arrow.apache.org/docs/c_glib/"},"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 [...]
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diff --git a/feed.xml b/feed.xml
index e74f9ca..c553de0 100644
--- a/feed.xml
+++ 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>2021-07-30T20:49:50-04:00</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>2021-08-04T09:18:52-04:00</updated><id>https://arrow.apache.org/feed.xml</id><title type="html">Apache Arrow</title><subtitle>Apache Arrow is a cross-language developm [...]
-->
@@ -1490,288 +1490,274 @@ export to database driver libraries which often contain a C API.</p>
fast and reliable as possible. If you see ways we can improve it further, or if
you run into trouble, please bring it up on our
<a href="https://arrow.apache.org/community/#mailing-lists">mailing list</a> or
-<a href="https://issues.apache.org/jira/browse/ARROW">report an issue</a>.</p></content><author><name>pmc</name></author><category term="application" /><summary type="html">Over the last four and a half years, we’ve worked to build a “batteries-included” development platform for high-performance analytics applications in C++. As the scope of the project has grown, we have sometimes taken on additional library dependencies to support a wide variety of systems a [...]
+<a href="https://issues.apache.org/jira/browse/ARROW">report an issue</a>.</p></content><author><name>pmc</name></author><category term="application" /><summary type="html">Over the last four and a half years, we’ve worked to build a “batteries-included” development platform for high-performance analytics applications in C++. As the scope of the project has grown, we have sometimes taken on additional library dependencies to support a wide variety of systems a [...]
-->
-<p>The Apache Arrow team is pleased to announce the 1.0.0 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%201.0.0"><strong>810 resolved issues</strong></a> from
-<a href="/release/1.0.0.html#contributors"><strong>100 distinct contributors</strong></a>. See the Install Page to learn how to get the
-libraries for your platform.</p>
-
-<p>Despite a “1.0.0” version, this is the 18th major release of Apache Arrow and
-marks a transition to binary stability of the columnar format (which was
-already informally backward-compatible going back to December 2017) and a
-transition to Semantic Versioning for the Arrow software libraries.</p>
+<p>The Apache Arrow team is pleased to announce the 5.0.0 release. This covers
+3 months of development work and includes <strong>684 commits</strong> from
+<a href="/release/5.0.0.html#contributors"><strong>99 distinct contributors</strong></a> in 2 repositories. 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/1.0.0.html">complete changelog</a>.</p>
+you to the complete changelogs for the <a href="/release/5.0.0.html#changelog"><code class="language-plaintext highlighter-rouge">apache/arrow</code></a> and
+<a href="https://github.com/apache/arrow-rs/blob/5.0.0/CHANGELOG.md"><code class="language-plaintext highlighter-rouge">apache/arrow-rs</code></a> repositories.</p>
+
+<h2 id="community">Community</h2>
+
+<p>Since the 4.0.0 release, Daniël Heres, Kazuaki Ishizaki, Dominik Moritz, and Weston Pace
+have been invited as committers to Arrow,
+and Benjamin Kietzman and David Li have joined the Project Management Committee
+(PMC). Thank you for all of your contributions!</p>
+
+<h2 id="columnar-format-notes">Columnar Format Notes</h2>
+
+<p>Official IANA Media types (MIME types) have been registered for Apache
+Arrow IPC protocol data, both <a href="/docs/format/Columnar.html#ipc-streaming-format">stream</a>
+and <a href="/docs/format/Columnar.html#ipc-file-format">file</a> variants:</p>
+
+<ul>
+ <li>https://www.iana.org/assignments/media-types/application/vnd.apache.arrow.stream</li>
+ <li>https://www.iana.org/assignments/media-types/application/vnd.apache.arrow.file</li>
+</ul>
+
+<p>We recommend <code class="language-plaintext highlighter-rouge">.arrow</code> as the IPC file format file extension and <code class="language-plaintext highlighter-rouge">.arrows</code> for
+the IPC streaming format file extension.</p>
+
+<h2 id="arrow-flight-rpc-notes">Arrow Flight RPC notes</h2>
+
+<p>The Go implementation now supports custom metadata and middleware, and has
+been added to integration testing.</p>
+
+<p>In Python, some operations can now be interrupted via Control-C.</p>
-<h2 id="100-columnar-format-and-stability-guarantees">1.0.0 Columnar Format and Stability Guarantees</h2>
+<h2 id="c-notes">C++ notes</h2>
+
+<p><code class="language-plaintext highlighter-rouge">MakeArrayFromScalar</code> now works for fixed-size binary types (ARROW-13321).</p>
-<p>The 1.0.0 release indicates that the Arrow columnar format is declared stable,
-with <a href="/docs/format/Versioning.html">forward and backward compatibility guarantees</a>.</p>
+<h3 id="compute-layer">Compute layer</h3>
-<p>The Arrow columnar format received several recent changes and additions,
-leading to the 1.0.0 format version:</p>
+<p>The following <a href="/docs/cpp/compute.html">compute functions</a>
+were added:</p>
<ul>
<li>
- <p>The metadata version was bumped to a new version V5, indicating an
-incompatible change in the buffer layout of Union types. All
-other types keep the same layout as in V4. V5 also includes format additions
-to assist with forward compatibility (detecting unsupported changes sent by
-future library versions). Libraries remain backward compatible with data
-generated by all libraries back to 0.8.0 (December 2017) and the Java and C++
-libraries are capable of generating V4-compatible messages (for sending data
-to applications using 0.8.0 to 0.17.1).</p>
+ <p>aggregations: <code class="language-plaintext highlighter-rouge">index</code></p>
+ </li>
+ <li>
+ <p>scalar arithmetic and math functions: <code class="language-plaintext highlighter-rouge">abs</code>, <code class="language-plaintext highlighter-rouge">abs_checked</code>, <code class="language-plaintext highlighter-rouge">acos</code>,
+<code class="language-plaintext highlighter-rouge">acos_checked</code>, <code class="language-plaintext highlighter-rouge">asin</code>, <code class="language-plaintext highlighter-rouge">asin_checked</code>, <code class="language-plaintext highlighter-rouge">atan</code>, <code class="language-plaintext highlighter-rouge">atan2</code>, <code class="language-plaintext highl [...]
+<code class="language-plaintext highlighter-rouge">cos_checked</code>, <code class="language-plaintext highlighter-rouge">floor</code>, <code class="language-plaintext highlighter-rouge">ln</code>, <code class="language-plaintext highlighter-rouge">ln_checked</code>, <code class="language-plaintext highlighter-rouge">log10</code>, <code class="language-plaintext highlight [...]
+<code class="language-plaintext highlighter-rouge">log1p</code>, <code class="language-plaintext highlighter-rouge">log1p_checked</code>, <code class="language-plaintext highlighter-rouge">log2</code>, <code class="language-plaintext highlighter-rouge">log2_checked</code>, <code class="language-plaintext highlighter-rouge">negate</code>, <code class="language-plaintext hi [...]
+<code class="language-plaintext highlighter-rouge">sign</code>, <code class="language-plaintext highlighter-rouge">sin</code>, <code class="language-plaintext highlighter-rouge">sin_checked</code>, <code class="language-plaintext highlighter-rouge">tan</code>, <code class="language-plaintext highlighter-rouge">tan_checked</code>, <code class="language-plaintext highlighte [...]
</li>
<li>
- <p>Dictionary indices are now allowed to be unsigned integers rather than only
-signed integers. Using UInt64 is still discouraged because of
-poor Java support.</p>
+ <p>scalar bitwise functions: <code class="language-plaintext highlighter-rouge">bit_wise_and</code>, <code class="language-plaintext highlighter-rouge">bit_wise_not</code>, <code class="language-plaintext highlighter-rouge">bit_wise_or</code>,
+<code class="language-plaintext highlighter-rouge">bit_wise_xor</code>, <code class="language-plaintext highlighter-rouge">shift_left</code>, <code class="language-plaintext highlighter-rouge">shift_left_checked</code>, <code class="language-plaintext highlighter-rouge">shift_right</code>,
+<code class="language-plaintext highlighter-rouge">shift_right_checked</code></p>
</li>
<li>
- <p>A “Feature” enum has been added to announce the use of specific optional
-features in an IPC stream, such as buffer compression. This
-new field is not used by any implementation yet.</p>
+ <p>scalar string functions: <code class="language-plaintext highlighter-rouge">ascii_center</code>, <code class="language-plaintext highlighter-rouge">ascii_lpad</code>, <code class="language-plaintext highlighter-rouge">ascii_reverse</code>,
+<code class="language-plaintext highlighter-rouge">ascii_rpad</code>, <code class="language-plaintext highlighter-rouge">binary_join</code>, <code class="language-plaintext highlighter-rouge">binary_join_element_wise</code>,
+<code class="language-plaintext highlighter-rouge">binary_replace_slice</code>, <code class="language-plaintext highlighter-rouge">count_substring</code>, <code class="language-plaintext highlighter-rouge">count_substring_regex</code>,
+<code class="language-plaintext highlighter-rouge">ends_with</code>, <code class="language-plaintext highlighter-rouge">find_substring</code>, <code class="language-plaintext highlighter-rouge">find_substring_regex</code>, <code class="language-plaintext highlighter-rouge">match_like</code>,
+<code class="language-plaintext highlighter-rouge">split_pattern_regex</code>, <code class="language-plaintext highlighter-rouge">starts_with</code>, <code class="language-plaintext highlighter-rouge">utf8_center</code>, <code class="language-plaintext highlighter-rouge">utf8_lpad</code>,
+<code class="language-plaintext highlighter-rouge">utf8_replace_slice</code>, <code class="language-plaintext highlighter-rouge">utf8_rpad</code>, <code class="language-plaintext highlighter-rouge">utf8_reverse</code>, <code class="language-plaintext highlighter-rouge">utf8_slice_codepoints</code></p>
</li>
<li>
- <p>Optional buffer compression using LZ4 or ZStandard was added to the IPC
-format.</p>
+ <p>scalar temporal functions: <code class="language-plaintext highlighter-rouge">day</code>, <code class="language-plaintext highlighter-rouge">day_of_week</code>, <code class="language-plaintext highlighter-rouge">day_of_year</code>,
+<code class="language-plaintext highlighter-rouge">iso_calendar</code>, <code class="language-plaintext highlighter-rouge">iso_week</code>, <code class="language-plaintext highlighter-rouge">iso_year</code>, <code class="language-plaintext highlighter-rouge">hour</code>, <code class="language-plaintext highlighter-rouge">microsecond</code>, <code class="language-plaintext [...]
+<code class="language-plaintext highlighter-rouge">minute</code>, <code class="language-plaintext highlighter-rouge">month</code>, <code class="language-plaintext highlighter-rouge">nanosecond</code>, <code class="language-plaintext highlighter-rouge">quarter</code>, <code class="language-plaintext highlighter-rouge">second</code>, <code class="language-plaintext highligh [...]
</li>
<li>
- <p>Decimal types now have an optional “bitWidth” field, defaulting to 128.<br />
-This will allow for future support of other decimal widths
-such as 32- and 64-bit.</p>
+ <p>other scalar functions: <code class="language-plaintext highlighter-rouge">case_when</code>, <code class="language-plaintext highlighter-rouge">coalesce</code>, <code class="language-plaintext highlighter-rouge">if_else</code>, <code class="language-plaintext highlighter-rouge">is_finite</code>,
+<code class="language-plaintext highlighter-rouge">is_inf</code>, <code class="language-plaintext highlighter-rouge">is_nan</code>, <code class="language-plaintext highlighter-rouge">max_element_wise</code>, <code class="language-plaintext highlighter-rouge">min_element_wise</code>, <code class="language-plaintext highlighter-rouge">make_struct</code></p>
</li>
<li>
- <p>The validity bitmap buffer has been removed from Union types. The nullity of
-a slot in a Union array is determined exclusively by the constituent arrays
-forming the union.</p>
+ <p>vector functions: <code class="language-plaintext highlighter-rouge">replace_with_mask</code></p>
</li>
</ul>
-<p>Integration testing has been expanded to test for extension types and
-nested dictionaries. See the <a href="/docs/status.html">implementation matrix</a> for details.</p>
+<p>Duplicates are now allowed in <code class="language-plaintext highlighter-rouge">SetLookupOptions::value_set</code> (ARROW-12554).</p>
-<h2 id="community">Community</h2>
+<p>Decimal types are now supported by some basic arithmetic functions (ARROW-12074).</p>
-<p>Since the last release, we have added two new committers:</p>
+<p>The <code class="language-plaintext highlighter-rouge">take</code> function now supports dense unions (ARROW-13005).</p>
-<ul>
- <li>Liya Fan</li>
- <li>Ji Liu</li>
-</ul>
+<p>It is now possible to cast between dictionary types with different index
+types (ARROW-11673).</p>
-<p>Thank you for all your contributions!</p>
+<p>Sorting is now implemented for boolean input (ARROW-12016).</p>
-<h2 id="arrow-flight-rpc-notes">Arrow Flight RPC notes</h2>
-
-<p>Flight now offers DoExchange, a fully bidirectional data endpoint, in addition
-to DoGet and DoPut, in C++, Java, and Python. Middlewares in all languages now
-expose binary-valued headers. Additionally, servers and clients can set Arrow
-IPC read/write options in all languages, making compatibility easier with earlier
-versions of Arrow Flight.</p>
+<h3 id="csv">CSV</h3>
-<p>In C++ and Python, Flight now exposes more options from gRPC, including the
-address of the client (on the server) and the ability to set low-level gRPC
-client options. Flight also supports mutual TLS authentication and the ability
-for a client to control the size of a data message on the wire.</p>
+<p>The streaming CSV reader can now take some advantage of multiple threads (ARROW-11889).</p>
-<h2 id="c-notes">C++ notes</h2>
+<p>The CSV reader tries to make its errors more informative by adding the
+row number when it is known, i.e. when parallel reading is disabled (ARROW-12675).</p>
-<ul>
- <li>Support for static linking with Arrow has been vastly improved, including the
-introduction of a <code class="language-plaintext highlighter-rouge">libarrow_bundled_dependencies.a</code> library bundling all
-external dependencies that are built from source by Arrow’s build system
-rather than installed by an external package manager. This makes
-it significantly easier to create dependency-free applications with all
-libraries statically-linked.</li>
- <li>Following the Arrow format changes, Union arrays cannot have a top-level
-bitmap anymore.</li>
- <li>A number of improvements were made to reduce the overall generated binary
-size in the Arrow library.</li>
- <li>A convenience API <code class="language-plaintext highlighter-rouge">GetBuildInfo</code> allows querying the characteristics of the
-Arrow library. We encourage you to suggest any desired addition to the
-returned information.</li>
- <li>We added an optional dependency to the <code class="language-plaintext highlighter-rouge">utf8proc</code> library, used in several
-compute functions (see below).</li>
- <li>Instead of sharing the same concrete classes, sparse and dense unions now
-have separated classes (<code class="language-plaintext highlighter-rouge">SparseUnionType</code> and <code class="language-plaintext highlighter-rouge">DenseUnionType</code>, as well as
-<code class="language-plaintext highlighter-rouge">SparseUnionArray</code>, <code class="language-plaintext highlighter-rouge">DenseUnionArray</code>, <code class="language-plaintext highlighter-rouge">SparseUnionScalar</code>,
-<code class="language-plaintext highlighter-rouge">DenseUnionScalar</code>).</li>
- <li>Arrow can now be built for iOS using the right set of CMake options, though
-we don’t officially support it. See <a href="https://github.com/UnfoldedInc/deck.gl-native-dependencies/blob/master/docs/iOS-BUILD.md#arrow-v0170">this writeup</a> for details.</li>
-</ul>
+<p>A new option <code class="language-plaintext highlighter-rouge">ReaderOptions::skip_rows_after_names</code> allows skipping a number
+of rows <em>after</em> reading the column names (as opposed to
+<code class="language-plaintext highlighter-rouge">ReaderOptions::skip_rows</code>).</p>
-<h3 id="compute-functions">Compute functions</h3>
+<p>Quoted strings can now be treated as always non-null (ARROW-10115).</p>
-<p>The compute kernel layer was extensively reworked. It now offers
-a generic function lookup, dispatch and execution mechanism. Furthermore, new
-internal scaffoldings make it vastly easier to write new function kernels, with
-many common details like type checking and function dispatch based on type
-combinations handled by the framework rather than implemented manually by the
-function developer.</p>
+<h3 id="dataset-layer">Dataset layer</h3>
-<p>Around 30 new array compute functions have been added. For example,
-Unicode-compliant predicates and transforms, such as lowercase and uppercase
-transforms, are now available.</p>
+<p>The asynchronous scanner introduced in 4.0.0 has been improved with truly
+asynchronous readers implemented for CSV, Parquet, and IPC file formats and
+file-level parallelism added. This mode is controlled by a flag <code class="language-plaintext highlighter-rouge">use_async</code> that
+can be passed into methods which scan a dataset. Setting this flag to True
+will have significant improvements on filesystems with high latency or parallel
+reads (e.g. S3).</p>
-<p>The available compute functions are listed exhaustively in the Sphinx-generated
-<a href="/docs/cpp/compute.html">documentation</a>.</p>
+<p>A CountRows method has been added to count rows matching a predicate; where
+possible, this will use metadata in files instead of reading the data itself.</p>
-<h3 id="datasets">Datasets</h3>
+<p>CSV datasets can now be written, and when reading a CSV dataset, explicit types can
+now be specified for a subset of columns while allowing the rest to still be inferred.</p>
-<p>Datasets can now be read from CSV files.</p>
+<h3 id="io-and-filesystem-layer">IO and Filesystem layer</h3>
-<p>Datasets can be expanded to their component fragments, enabling fine grained
-interoperability with other consumers of data files. Where applicable, metadata
-is available as a property of the fragment, including partition information and
-(for the parquet format) per-column statistics.</p>
+<p>The I/O thread pool size can now be adjusted at runtime (ARROW-12760).
+The default size remains 8 threads.</p>
-<p>Datasets of parquet files can now be assembled from a single <code class="language-plaintext highlighter-rouge">_metadata</code> file,
-such as those created by systems like Dask and Spark. <code class="language-plaintext highlighter-rouge">_metadata</code>
-contains the metadata of all fragments, allowing construction of a statistics-
-aware dataset with a single IO call.</p>
+<p>Streams now can have auxiliary metadata, depending on the backend. This
+has been implemented for the S3 filesystems, where a couple metadata
+keys are supported such as <code class="language-plaintext highlighter-rouge">Content-Type</code> and <code class="language-plaintext highlighter-rouge">ACL</code> (ARROW-11161, ARROW-12719).</p>
-<h3 id="feather">Feather</h3>
+<p>The HadoopFileSystem implementation now implements the FileSystem abstraction
+more faithfully (ARROW-12790).</p>
-<p>The Feather format is now available in version 2, which is simply the Arrow
-IPC file format with another name.</p>
+<h3 id="parquet">Parquet</h3>
-<h3 id="ipc">IPC</h3>
+<p>The new LZ4_RAW compression scheme was implemented (PARQUET-1998).
+Unlike the legacy LZ4 compression scheme, it is defined unambiguously
+and should provide better portability once other Parquet implementations
+catch up.</p>
-<p>By default, we now write IPC streams with metadata V5. However, metadata V4
-can be requested by setting the appropriate member in <code class="language-plaintext highlighter-rouge">IpcWriteOptions</code>. V4 as
-well as V5 metadata IPC streams can be read properly, with one exception: a V4
-metadata stream containing Union arrays with top-level null values will refuse
-reading.</p>
+<h2 id="go-notes">Go notes</h2>
-<p>As noted above, there are no changes between V4 and V5 that break
-backwards compatibility. For forward compatibility scenarios (where you need to
-generate data to be read by an older Arrow library), you can set the V4
-compatibility mode.</p>
+<h3 id="flight">Flight</h3>
-<p>Support for dictionary replacement and dictionary delta was implemented.</p>
+<ul>
+ <li>Flight Client and Server now support Custom Metadata through the functions <code class="language-plaintext highlighter-rouge">flight.NewClientWithMiddleware</code> and <code class="language-plaintext highlighter-rouge">flight.NewServerWithMiddleware</code>. Functions
+<code class="language-plaintext highlighter-rouge">flight.NewFlightClient</code>, <code class="language-plaintext highlighter-rouge">flight.NewFlightServer</code>, <code class="language-plaintext highlighter-rouge">flight.CreateServerBearerTokenAuthInterceptors</code> have been deprecated in favor of using the new middleware. <a href="https://github.com/apache/arrow/pull/10633">#10633</a></li>
+ <li>Flight Client <code class="language-plaintext highlighter-rouge">AuthHandler</code> no longer overwrites outgoing metadata, correctly appending new metadata without overwriting existing metadata <a href="https://github.com/apache/arrow/pull/10297">#10297</a></li>
+ <li>Flight AppMetadata field is now exposed both for Reading and Writing via <code class="language-plaintext highlighter-rouge">flight.Reader#LatestAppMetadata()</code> and <code class="language-plaintext highlighter-rouge">flight.Writer#WriteWithAppMetadata</code> functions <a href="https://github.com/apache/arrow/pull/10142">#10142</a></li>
+</ul>
-<h3 id="parquet">Parquet</h3>
+<h3 id="other-enhancements">Other enhancements</h3>
-<p>Writing files with the LZ4 codec is disabled because it produces files
-incompatible with the widely-used Hadoop Parquet implementation. Support will
-be reenabled once we align the LZ4 implementation with the special buffer
-encoding expected by Hadoop.</p>
+<ul>
+ <li><a href="https://github.com/apache/arrow/pull/10106">Map</a> and <a href="https://github.com/apache/arrow/pull/10203">Extension</a> Datatypes are now implemented for Arrow Arrays</li>
+ <li><a href="https://github.com/apache/arrow/10071">Schema package</a> and first part of <a href="https://github.com/apache/arrow/10379">Encoding package</a> added for Golang Parquet Implementation</li>
+</ul>
<h2 id="java-notes">Java notes</h2>
-<p>The Java package introduces a number of low level changes in this release.
-Most notable are the work in support of allocating large arrow buffers and
-removing Netty from the public API. Users will have to update their
-dependencies to use one of the two supported allocators Netty:
-<code class="language-plaintext highlighter-rouge">arrow-memory-netty</code> or Unsafe (internal java api for direct memory)
-<code class="language-plaintext highlighter-rouge">arrow-memory-unsafe</code>.</p>
-
-<p>The Java Vector implementation has improved its interoperability having
-verified <code class="language-plaintext highlighter-rouge">LargeVarChar</code>, <code class="language-plaintext highlighter-rouge">LargeBinary</code>, <code class="language-plaintext highlighter-rouge">LargeList</code>, <code class="language-plaintext highlighter-rouge">Union</code>, Extension types
-and duplicate field names in <code class="language-plaintext highlighter-rouge">Structs</code> are binary compatible with C++ and the
-specification.</p>
+<p>Highlighted improvements and fixes:</p>
-<h2 id="python-notes">Python notes</h2>
+<ul>
+ <li>Improved support for extension types using a complex storage type, e.g. struct, map or union. These can now extend
+the <code class="language-plaintext highlighter-rouge">ExtensionTypeVector</code> base class.</li>
+ <li>Union vectors now extend <code class="language-plaintext highlighter-rouge">AbstractContainerVector</code> to be consistent with other vectors.</li>
+ <li>Guava dependency updated to 30.1.1</li>
+ <li>Memory leak fixed if an exception occurs when reading IPC messages from a channel. <a href="https://github.com/apache/arrow/pull/10423">#10423</a></li>
+ <li>Flight error metadata is now propagated to the client. <a href="https://github.com/apache/arrow/pull/10370">#10370</a></li>
+ <li>JDBC adapter now preserves nullability. <a href="https://github.com/apache/arrow/pull/10285">#10285</a></li>
+ <li>The memory rounding policy is respected when allocating vector buffers. This helps saving memory space. <a href="https://github.com/apache/arrow/pull/10576">#10576</a></li>
+</ul>
-<p>The size of wheel packages is significantly reduced, up to 75%. One side
-effect is that these wheels do not enable Gandiva anymore (which requires the
-LLVM runtime to be statically-linked). We are interested in providing Gandiva
-as an add-on package as a separate Python wheel in the future.</p>
+<p>API compatibility changes:</p>
-<p>The Scalar class hierarchy was reworked to more closely follow its C++
-counterpart.</p>
+<ul>
+ <li>Complex vectors now return covariant types from <code class="language-plaintext highlighter-rouge">getObject(int)</code>. <a href="https://github.com/apache/arrow/pull/9964">#9964</a></li>
+</ul>
-<p>TLS CA certificates are looked up more reliably when using the S3 filesystem,
-especially with manylinux wheels.</p>
+<h2 id="javascript-notes">JavaScript notes</h2>
-<p>The encoding of CSV files can now be specified explicitly, defaulting to UTF8.
-Custom timestamp parsers can now be used for CSV files.</p>
+<ul>
+ <li>Tables do not extend DataFrames anymore. This enables smaller bundles. <a href="https://github.com/apache/arrow/pull/10277">#10277</a></li>
+ <li>Arrow uses closure compiler for all UMD bundles, making them smaller. <a href="https://github.com/apache/arrow/pull/10281">#10281</a></li>
+ <li>The npm package now comes with declaration maps for better navigation from types to source code. <a href="https://github.com/apache/arrow/pull/10673">#10673</a></li>
+ <li>Updated dependencies and improvements to the code.</li>
+</ul>
-<p>Filesystems can now be implemented in pure Python. As a result,
-<a href="https://filesystem-spec.readthedocs.io">fsspec</a>-based filesystems can now
-be used in datasets.</p>
+<h2 id="python-notes">Python notes</h2>
-<p><code class="language-plaintext highlighter-rouge">parquet.read_table</code> is now backed by the dataset API by default, enabling
-filters on any column and more flexible partitioning.</p>
+<ul>
+ <li>Datasets can now scan files asynchronously when the <code class="language-plaintext highlighter-rouge">use_async=True</code> option is provided to <code class="language-plaintext highlighter-rouge">Dataset.scanner</code>, <code class="language-plaintext highlighter-rouge">Dataset.to_table</code>, or <code class="language-plaintext highlighter-rouge">Dataset.to_batches</code> methods. This [...]
+ <li>Arrow now provides builtin support for writing CSV files through <code class="language-plaintext highlighter-rouge">pyarrow.csv.write_csv</code></li>
+ <li>Wheels for Apple M1 Macs are now provided.</li>
+ <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>It is now possible to access ORC file metadata from Python <code class="language-plaintext highlighter-rouge">ORCFile</code> objects</li>
+ <li>Building a <code class="language-plaintext highlighter-rouge">StructArray</code> now accepts a <code class="language-plaintext highlighter-rouge">mask</code> like other arrays</li>
+ <li>Many updates and fixes for the documentation</li>
+</ul>
<h2 id="r-notes">R notes</h2>
-<p>The R package added support for converting to and from many additional Arrow
-types. Tables showing how R types are mapped to Arrow types and vice versa have
-been added to the <a href="/docs/r/articles/arrow.html">introductory vignette</a>, and nearly all types are handled.
-In addition, R <code class="language-plaintext highlighter-rouge">attributes</code> like custom classes and metadata are now preserved
-when converting a <code class="language-plaintext highlighter-rouge">data.frame</code> to an Arrow Table and are restored when loading
-them back into R.</p>
+<p>In this release, we’ve more than doubled the number of functions you can call on Arrow Datasets inside <code class="language-plaintext highlighter-rouge">dplyr::filter()</code>, <code class="language-plaintext highlighter-rouge">mutate()</code>, and <code class="language-plaintext highlighter-rouge">arrange()</code>, including many more string, datetime, and math functions. You can also write Datasets to CSV files [...]
-<p>For more on what’s in the 1.0.0 R package, see the <a href="/docs/r/news/">R changelog</a>.</p>
+<p>For more on what’s in the 5.0.0 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>
-<p>The Ruby and C GLib packages added support for the new compute function
-framework, in which users can find a
-compute function dynamically and call it. Users don’t need to wait for a C
-GLib binding for new compute functions: if the C++ package provides a
-new compute function, users can use it
-without additional code in the Ruby and C GLib packages.</p>
-
-<p>The Ruby and C GLib packages added support for Apache Arrow
-Dataset. The Ruby package provides a new gem for Apache Arrow Dataset,
-<code class="language-plaintext highlighter-rouge">red-arrow-dataset</code>. The C GLib package provides a new module for
-Apache Arrow Dataset, <code class="language-plaintext highlighter-rouge">arrow-dataset-glib</code>. They just have a few
-features for now but we will add more in future releases.</p>
-
-<p>The Ruby and C GLib packages added support for reading only the
-specified row group in an Apache Parquet file.</p>
+<p>Apache Arrow Flight support is started. But <code class="language-plaintext highlighter-rouge">ListFlights</code> is only supported for now. More features will be implemented in the next major release.</p>
<h3 id="ruby">Ruby</h3>
-<p>The Ruby package added support for column level compression in writing
-Apache Parquet files.</p>
-
-<p>The Ruby package changed the <code class="language-plaintext highlighter-rouge">Arrow::DictionaryArray#[]</code> behavior. It now
-returns the dictionary value instead of the dictionary index. This is a
-backwards-incompatible change.</p>
+<p>You need gobject-introspection gem 3.4.5 or later to implement your Apache Arrow Flight server. If you only use Apache Arrow Flight client, gobject-introspection gem 3.4.5 or later isn’t required.</p>
-<h2 id="rust-notes">Rust notes</h2>
+<p>Here are highlighted improvements:</p>
<ul>
- <li>A new integration test crate has been added, allowing the Rust
-implementation to participate in integration testing.</li>
- <li>A new benchmark crate has been added for benchmarking performance
-against popular data sets. The initial examples run SQL queries against
-the NYC Taxi data set using DataFusion. This is useful for comparing
-performance against other Arrow implementations.</li>
- <li>Rust toolchain has been upgraded to 1.44 nightly.</li>
+ <li>
+ <p>Compute functions accept raw Ruby objects such as <code class="language-plaintext highlighter-rouge">true</code>, <code class="language-plaintext highlighter-rouge">Integer</code>, <code class="language-plaintext highlighter-rouge">Array</code> and <code class="language-plaintext highlighter-rouge">String</code>:</p>
+
+ <div class="language-ruby highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">add_function</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Function</span><span class="p">.</span><span class="nf">f [...]
+<span class="c1"># Not shortcut version</span>
+<span class="n">augend</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Int8Array</span><span class="p">.</span><span class="nf">new</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> < [...]
+<span class="n">addend</span> <span class="o">=</span> <span class="no">Arrow</span><span class="o">::</span><span class="no">Int8Scalar</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
+<span class="n">args</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="no">Arrow</span><span class="o">::</span><span class="no">ArrayDatum</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="n">augend</span><span class="p">),</span>
+ <span class="no">Arrow</span><span class="o">::</span><span class="no">ScalarDatum</span><span class="p">.</span><span class="nf">new</span><span class="p">(</span><span class="n">addend</span><span class="p">),</span>
+<span class="p">]</span>
+<span class="n">add_function</span><span class="p">.</span><span class="nf">execute</span><span class="p">(</span><span class="n">args</span><span class="p">).</span><span class="nf">value</span><span class="p">.</span><span class="nf">to_a</span> <span class="c1"># =&gt; [ [...]
+<span class="c1"># Shortcut version</span>
+<span class="n">add_function</span><span class="p">.</span><span class="nf">execute</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <s [...]
+</code></pre></div> </div>
+ </li>
+ <li>
+ <p><code class="language-plaintext highlighter-rouge">Arrow::PrimaryArray</code> and <code class="language-plaintext highlighter-rouge">Arrow::Buffer</code> can be used as MemoryView that is added in Ruby 3.0.</p>
+ </li>
</ul>
-<h3 id="arrow-core">Arrow Core</h3>
+<p>There are some backward incompatible changes:</p>
<ul>
- <li>Support for binary, string, and list arrays with i64 offsets to support
-large lists.</li>
- <li>A new sort kernel has been added.</li>
- <li>There have been various improvements to dictionary array support.</li>
- <li>CSV reader enhancements include a new CsvReadOptions struct and support
-for schema inference from multiple CSV files.</li>
- <li>There are significant (10x - 40x) performance improvements to SIMD
-comparison kernels.</li>
+ <li><code class="language-plaintext highlighter-rouge">Arrow::CountOptions</code> and <code class="language-plaintext highlighter-rouge">Arrow::CountMode</code> are removed. Use <code class="language-plaintext highlighter-rouge">Arrow::ScalarAggregateOptions</code> instead.</li>
</ul>
-<h3 id="datafusion">DataFusion</h3>
+<h3 id="c-glib">C GLib</h3>
+
+<p>There are some backward incompatible changes:</p>
<ul>
- <li>There are numerous UX improvements to LogicalPlan and LogicalPlanBuilder,
-including support for named columns.</li>
- <li>General improvements to code base, such as removing many uses of <code class="language-plaintext highlighter-rouge">Arc</code>
-and using slices instead of <code class="language-plaintext highlighter-rouge">&amp;Vec</code> as function arguments.</li>
- <li>ParquetScanExec performance improvement (almost 2x).</li>
- <li>ExecutionContext can now be shared between threads.</li>
- <li>Rust closures can now be used as Scalar UDFs.</li>
- <li>Sort support has been added to SQL and LogicalPlan.</li>
-</ul></content><author><name>pmc</name></author><category term="release" /><summary type="html">The Apache Arrow team is pleased to announce the 1.0.0 release. This covers over 3 months of development work and includes 810 resolved issues from 100 distinct contributors. See the Install Page to learn how to get the libraries for your platform. Despite a “1.0.0” version, this is the 18th major release of Apache Arrow and marks a transition to binary stability of the columnar format ( [...]
\ No newline at end of file
+ <li><code class="language-plaintext highlighter-rouge">GArrowCountOptions</code> and <code class="language-plaintext highlighter-rouge">GArrowCountMode</code> are removed. Use <code class="language-plaintext highlighter-rouge">GArrowScalarAggregateOptions</code> instead.</li>
+ <li><code class="language-plaintext highlighter-rouge">garrow_array_equal_range()</code> requires <code class="language-plaintext highlighter-rouge">GArrowEqualOptions</code>.</li>
+ <li>Prefix in arrow-dataset-glib is changed to <code class="language-plaintext highlighter-rouge">gadataset_</code>/<code class="language-plaintext highlighter-rouge">GADATASET_</code> from <code class="language-plaintext highlighter-rouge">gad_</code>/<code class="language-plaintext highlighter-rouge">GAD_</code>.</li>
+ <li><code class="language-plaintext highlighter-rouge">GADScanOptions</code>, <code class="language-plaintext highlighter-rouge">GADScanTask</code> and <code class="language-plaintext highlighter-rouge">GADInMemoryScanTask</code> are removed. Use <code class="language-plaintext highlighter-rouge">gadataset_begin_scan()</code> or <code class="language-plaintext highlighter-rouge"& [...]
+ <li><code class="language-plaintext highlighter-rouge">GArrowCompareOptions</code>, <code class="language-plaintext highlighter-rouge">GArrowCompareOperator</code> and <code class="language-plaintext highlighter-rouge">garrow_*_array_compare()</code> are removed. Use <code class="language-plaintext highlighter-rouge">equal</code>, <code class="language-plaintext highlighter-rouge" [...]
+</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 5.0.0 release of the Rust
+implementation, see the <a href="https://github.com/apache/arrow-rs/blob/5.0.0/CHANGELOG.md">Arrow Rust changelog</a> and the
+<a href="/blog/2021/07/29/5.0.0-rs-release/">Apache Arrow Rust 5.0.0 Release blog post</a>.</p></content><author><name>pmc</name></author><category term="release" /><summary type="html">The Apache Arrow team is pleased to announce the 5.0.0 release. This covers 3 months of development work and includes 684 commits from 99 distinct contributors in 2 repositories. See the Install Page to learn how to get the libraries for your platform. The release notes below a [...]
\ No newline at end of file
diff --git a/release/0.1.0.html b/release/0.1.0.html
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diff --git a/release/0.10.0.html b/release/0.10.0.html
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+{"datePublished":"2021-08-04T09:18:52-04:00","headline":"Apache Arrow 0.11.1 Release","dateModified":"2021-08-04T09:18:52-04:00","mainEntityOfPage":{"@type":"WebPage","@id":"https://arrow.apache.org/release/0.11.1.html"},"description":"Apache Arrow 0.11.1 (19 October 2018) This is a bugfix release to address a Python packaging issue with zlib that resulted in bug ARROW-3514. Download Source Artifacts Binary Artifacts Git tag Changelog New Features and Improvements ARROW-3353 - [Packaging [...]
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diff --git a/release/0.12.0.html b/release/0.12.0.html
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diff --git a/release/0.14.0.html b/release/0.14.0.html
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