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The following commit(s) were added to refs/heads/asf-site by this push:
new e9c31b3 Comet 0.2.0 blog post (#24)
e9c31b3 is described below
commit e9c31b3e9ab15732f4d6b55833270f79bdcc0654
Author: Andy Grove <[email protected]>
AuthorDate: Thu Aug 29 10:35:08 2024 -0600
Comet 0.2.0 blog post (#24)
---
2024/08/28/datafusion-comet-0.2.0/index.html | 161 +++++++++++++++++++++++++
assets/main.css.map | 2 +-
feed.xml | 174 +++++++++++++--------------
img/.DS_Store | Bin 0 -> 6148 bytes
img/comet-0.2.0/tpcds_allqueries.png | Bin 0 -> 24925 bytes
img/comet-0.2.0/tpch_allqueries.png | Bin 0 -> 25972 bytes
index.html | 7 +-
7 files changed, 249 insertions(+), 95 deletions(-)
diff --git a/2024/08/28/datafusion-comet-0.2.0/index.html
b/2024/08/28/datafusion-comet-0.2.0/index.html
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index 0000000..0c5dd4c
--- /dev/null
+++ b/2024/08/28/datafusion-comet-0.2.0/index.html
@@ -0,0 +1,161 @@
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+ <meta http-equiv="X-UA-Compatible" content="IE=edge">
+ <meta name="viewport" content="width=device-width, initial-scale=1"><!--
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& Blog</title>
+<meta name="generator" content="Jekyll v4.3.3" />
+<meta property="og:title" content="Apache DataFusion Comet 0.2.0 Release" />
+<meta name="author" content="pmc" />
+<meta property="og:locale" content="en_US" />
+<meta name="description" content="<!–" />
+<meta property="og:description" content="<!–" />
+<link rel="canonical"
href="https://datafusion.apache.org/blog/2024/08/28/datafusion-comet-0.2.0/" />
+<meta property="og:url"
content="https://datafusion.apache.org/blog/2024/08/28/datafusion-comet-0.2.0/"
/>
+<meta property="og:site_name" content="Apache DataFusion Project News &
Blog" />
+<meta property="og:type" content="article" />
+<meta property="article:published_time" content="2024-08-28T00:00:00+00:00" />
+<meta name="twitter:card" content="summary" />
+<meta property="twitter:title" content="Apache DataFusion Comet 0.2.0 Release"
/>
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+{"@context":"https://schema.org","@type":"BlogPosting","author":{"@type":"Person","name":"pmc"},"dateModified":"2024-08-28T00:00:00+00:00","datePublished":"2024-08-28T00:00:00+00:00","description":"<!–","headline":"Apache
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[...]
+<!-- End Jekyll SEO tag -->
+<link rel="stylesheet" href="/blog/assets/main.css"><link
type="application/atom+xml" rel="alternate"
href="https://datafusion.apache.org/blog/feed.xml" title="Apache DataFusion
Project News & Blog" /></head>
+<body><header class="site-header" role="banner">
+
+ <div class="wrapper"><a class="site-title" rel="author" href="/blog/">Apache
DataFusion Project News & Blog</a><nav class="site-nav">
+ <input type="checkbox" id="nav-trigger" class="nav-trigger" />
+ <label for="nav-trigger">
+ <span class="menu-icon">
+ <svg viewBox="0 0 18 15" width="18px" height="15px">
+ <path
d="M18,1.484c0,0.82-0.665,1.484-1.484,1.484H1.484C0.665,2.969,0,2.304,0,1.484l0,0C0,0.665,0.665,0,1.484,0
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href="/blog/about/">About</a></div>
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+</header>
+<main class="page-content" aria-label="Content">
+ <div class="wrapper">
+ <article class="post h-entry" itemscope
itemtype="http://schema.org/BlogPosting">
+
+ <header class="post-header">
+ <h1 class="post-title p-name" itemprop="name headline">Apache DataFusion
Comet 0.2.0 Release</h1>
+ <p class="post-meta">
+ <time class="dt-published" datetime="2024-08-28T00:00:00+00:00"
itemprop="datePublished">Aug 28, 2024
+ </time>• <span itemprop="author" itemscope
itemtype="http://schema.org/Person"><span class="p-author h-card"
itemprop="name">pmc</span></span></p>
+ </header>
+
+ <div class="post-content e-content" itemprop="articleBody">
+ <!--
+
+-->
+
+<p>The Apache DataFusion PMC is pleased to announce version 0.2.0 of the <a
href="https://datafusion.apache.org/comet/">Comet</a> subproject.</p>
+
+<p>Comet is an accelerator for Apache Spark that translates Spark physical
plans to DataFusion physical plans for
+improved performance and efficiency without requiring any code changes.</p>
+
+<p>Comet runs on commodity hardware and aims to provide 100% compatibility
with Apache Spark. Any operators or
+expressions that are not fully compatible will fall back to Spark unless
explicitly enabled by the user. Refer
+to the <a
href="https://datafusion.apache.org/comet/user-guide/compatibility.html">compatibility
guide</a> for more information.</p>
+
+<p>This release covers approximately four weeks of development work and is the
result of merging 87 PRs from 14
+contributors. See the <a
href="https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.2.0.md">change
log</a> for more information.</p>
+
+<h2 id="release-highlights">Release Highlights</h2>
+
+<h3 id="docker-images">Docker Images</h3>
+
+<p>Docker images are now available from the <a
href="https://github.com/apache/datafusion-comet/pkgs/container/datafusion-comet/265110454?tag=spark-3.4-scala-2.12-0.2.0">GitHub
Container Registry</a>.</p>
+
+<h3 id="performance-improvements">Performance improvements</h3>
+
+<ul>
+ <li>Native shuffle is now enabled by default</li>
+ <li>Improved handling of decimal types</li>
+ <li>Reduced some redundant copying of batches in Filter/Scan operations</li>
+ <li>Optimized performance of count aggregates</li>
+ <li>Optimized performance of CASE expressions for specific uses:
+ <ul>
+ <li>CASE WHEN expr THEN column ELSE null END</li>
+ <li>CASE WHEN expr THEN literal ELSE literal END</li>
+ </ul>
+ </li>
+ <li>Optimized performance of IS NOT NULL</li>
+</ul>
+
+<h3 id="new-features">New Features</h3>
+
+<ul>
+ <li>Window operations now support count and sum aggregates</li>
+ <li>CreateArray</li>
+ <li>GetStructField</li>
+ <li>Support nested types in hash join</li>
+ <li>Basic implementation of RLIKE expression</li>
+</ul>
+
+<h2 id="current-performance">Current Performance</h2>
+
+<p>We use benchmarks derived from the industry standard TPC-H and TPC-DS
benchmarks for tracking progress with
+performance. The following charts shows the time it takes to run the queries
against 100 GB of data in
+Parquet format using a single executor with eight cores. See the <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html">Comet
Benchmarking Guide</a>
+for details of the environment used for these benchmarks.</p>
+
+<h3 id="benchmark-derived-from-tpc-h">Benchmark derived from TPC-H</h3>
+
+<p>Comet 0.2.0 provides a 62% speedup compared to Spark. This is slightly
better than the Comet 0.1.0 release.</p>
+
+<p><img src="/blog/img/comet-0.2.0/tpch_allqueries.png" width="100%"
class="img-responsive" alt="Chart showing TPC-H benchmark results for Comet
0.2.0" /></p>
+
+<h3 id="benchmark-derived-from-tpc-ds">Benchmark derived from TPC-DS</h3>
+
+<p>Comet 0.2.0 provides a 21% speedup compared to Spark, which is a
significant improvement compared to
+Comet 0.1.0, which did not provide any speedup for this benchmark.</p>
+
+<p><img src="/blog/img/comet-0.2.0/tpcds_allqueries.png" width="100%"
class="img-responsive" alt="Chart showing TPC-DS benchmark results for Comet
0.2.0" /></p>
+
+<h2 id="getting-involved">Getting Involved</h2>
+
+<p>The Comet project welcomes new contributors. We use the same <a
href="https://datafusion.apache.org/contributor-guide/communication.html#slack-and-discord">Slack
and Discord</a> channels as the main DataFusion
+project.</p>
+
+<p>The easiest way to get involved is to test Comet with your current Spark
jobs and file issues for any bugs or
+performance regressions that you find. See the <a
href="https://datafusion.apache.org/comet/user-guide/installation.html">Getting
Started</a> guide for instructions on downloading and installing
+Comet.</p>
+
+<p>There are also many <a
href="https://github.com/apache/datafusion-comet/contribute">good first
issues</a> waiting for contributions.</p>
+
+
+ </div><a class="u-url" href="/blog/2024/08/28/datafusion-comet-0.2.0/"
hidden></a>
+</article>
+
+ </div>
+ </main><footer class="site-footer h-card">
+ <data class="u-url" href="/blog/"></data>
+
+ <div class="wrapper">
+
+ <h2 class="footer-heading">Apache DataFusion Project News & Blog</h2>
+
+ <div class="footer-col-wrapper">
+ <div class="footer-col footer-col-1">
+ <ul class="contact-list">
+ <li class="p-name">Apache DataFusion Project News &
Blog</li><li><a class="u-email"
href="mailto:[email protected]">[email protected]</a></li></ul>
+ </div>
+
+ <div class="footer-col footer-col-2"><ul
class="social-media-list"><li><a href="https://github.com/apache"><svg
class="svg-icon"><use
xlink:href="/blog/assets/minima-social-icons.svg#github"></use></svg> <span
class="username">apache</span></a></li><li><a
href="https://www.twitter.com/ApacheDataFusio"><svg class="svg-icon"><use
xlink:href="/blog/assets/minima-social-icons.svg#twitter"></use></svg> <span
class="username">ApacheDataFusio</span></a></li></ul>
+</div>
+
+ <div class="footer-col footer-col-3">
+ <p>Apache DataFusion is a very fast, extensible query engine for
building high-quality data-centric systems in Rust, using the Apache Arrow
in-memory format.</p>
+ </div>
+ </div>
+
+ </div>
+
+</footer>
+</body>
+
+</html>
diff --git a/assets/main.css.map b/assets/main.css.map
index 3dde519..4da063c 100644
--- a/assets/main.css.map
+++ b/assets/main.css.map
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[...]
\ No newline at end of file
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[...]
\ No newline at end of file
diff --git a/feed.xml b/feed.xml
index 0a3f107..1e79489 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1,4 +1,81 @@
-<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/"
version="4.3.3">Jekyll</generator><link
href="https://datafusion.apache.org/blog/feed.xml" rel="self"
type="application/atom+xml" /><link href="https://datafusion.apache.org/blog/"
rel="alternate" type="text/html"
/><updated>2024-08-20T13:43:42+00:00</updated><id>https://datafusion.apache.org/blog/feed.xml</id><title
type="html">Apache DataFusion Project News &amp; [...]
+<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/"
version="4.3.3">Jekyll</generator><link
href="https://datafusion.apache.org/blog/feed.xml" rel="self"
type="application/atom+xml" /><link href="https://datafusion.apache.org/blog/"
rel="alternate" type="text/html"
/><updated>2024-08-29T16:32:33+00:00</updated><id>https://datafusion.apache.org/blog/feed.xml</id><title
type="html">Apache DataFusion Project News &amp; [...]
+
+-->
+
+<p>The Apache DataFusion PMC is pleased to announce version 0.2.0 of the <a
href="https://datafusion.apache.org/comet/">Comet</a> subproject.</p>
+
+<p>Comet is an accelerator for Apache Spark that translates Spark physical
plans to DataFusion physical plans for
+improved performance and efficiency without requiring any code changes.</p>
+
+<p>Comet runs on commodity hardware and aims to provide 100% compatibility
with Apache Spark. Any operators or
+expressions that are not fully compatible will fall back to Spark unless
explicitly enabled by the user. Refer
+to the <a
href="https://datafusion.apache.org/comet/user-guide/compatibility.html">compatibility
guide</a> for more information.</p>
+
+<p>This release covers approximately four weeks of development work and is the
result of merging 87 PRs from 14
+contributors. See the <a
href="https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.2.0.md">change
log</a> for more information.</p>
+
+<h2 id="release-highlights">Release Highlights</h2>
+
+<h3 id="docker-images">Docker Images</h3>
+
+<p>Docker images are now available from the <a
href="https://github.com/apache/datafusion-comet/pkgs/container/datafusion-comet/265110454?tag=spark-3.4-scala-2.12-0.2.0">GitHub
Container Registry</a>.</p>
+
+<h3 id="performance-improvements">Performance improvements</h3>
+
+<ul>
+ <li>Native shuffle is now enabled by default</li>
+ <li>Improved handling of decimal types</li>
+ <li>Reduced some redundant copying of batches in Filter/Scan operations</li>
+ <li>Optimized performance of count aggregates</li>
+ <li>Optimized performance of CASE expressions for specific uses:
+ <ul>
+ <li>CASE WHEN expr THEN column ELSE null END</li>
+ <li>CASE WHEN expr THEN literal ELSE literal END</li>
+ </ul>
+ </li>
+ <li>Optimized performance of IS NOT NULL</li>
+</ul>
+
+<h3 id="new-features">New Features</h3>
+
+<ul>
+ <li>Window operations now support count and sum aggregates</li>
+ <li>CreateArray</li>
+ <li>GetStructField</li>
+ <li>Support nested types in hash join</li>
+ <li>Basic implementation of RLIKE expression</li>
+</ul>
+
+<h2 id="current-performance">Current Performance</h2>
+
+<p>We use benchmarks derived from the industry standard TPC-H and TPC-DS
benchmarks for tracking progress with
+performance. The following charts shows the time it takes to run the queries
against 100 GB of data in
+Parquet format using a single executor with eight cores. See the <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html">Comet
Benchmarking Guide</a>
+for details of the environment used for these benchmarks.</p>
+
+<h3 id="benchmark-derived-from-tpc-h">Benchmark derived from TPC-H</h3>
+
+<p>Comet 0.2.0 provides a 62% speedup compared to Spark. This is slightly
better than the Comet 0.1.0 release.</p>
+
+<p><img src="/blog/img/comet-0.2.0/tpch_allqueries.png" width="100%"
class="img-responsive" alt="Chart showing TPC-H benchmark results for Comet
0.2.0" /></p>
+
+<h3 id="benchmark-derived-from-tpc-ds">Benchmark derived from TPC-DS</h3>
+
+<p>Comet 0.2.0 provides a 21% speedup compared to Spark, which is a
significant improvement compared to
+Comet 0.1.0, which did not provide any speedup for this benchmark.</p>
+
+<p><img src="/blog/img/comet-0.2.0/tpcds_allqueries.png" width="100%"
class="img-responsive" alt="Chart showing TPC-DS benchmark results for Comet
0.2.0" /></p>
+
+<h2 id="getting-involved">Getting Involved</h2>
+
+<p>The Comet project welcomes new contributors. We use the same <a
href="https://datafusion.apache.org/contributor-guide/communication.html#slack-and-discord">Slack
and Discord</a> channels as the main DataFusion
+project.</p>
+
+<p>The easiest way to get involved is to test Comet with your current Spark
jobs and file issues for any bugs or
+performance regressions that you find. See the <a
href="https://datafusion.apache.org/comet/user-guide/installation.html">Getting
Started</a> guide for instructions on downloading and installing
+Comet.</p>
+
+<p>There are also many <a
href="https://github.com/apache/datafusion-comet/contribute">good first
issues</a> waiting for
contributions.</p>]]></content><author><name>pmc</name></author><category
term="subprojects" /><summary
type="html"><![CDATA[<!–]]></summary></entry><entry><title
type="html">Apache DataFusion Python 40.1.0 Released, Significant usability
updates</title><link
href="https://datafusion.apache.org/blog/2024/08/20/python-datafusion-40.0.0/"
rel="alternate" type="text/ht [...]
-->
@@ -34,9 +111,8 @@ to their Rust counterparts.</li>
user facing interface. These wrappers, written in Python, contain both
documentation and type
annotations.</p>
-<p>This documenation is now available on the <a
href="https://datafusion.apache.org/python/api.html">DataFusion in Python</a>
-website. There you can browse the available functions and classes to see the
breadth of available
-functionality.</p>
+<p>This documenation is now available on the <a
href="https://datafusion.apache.org/python/autoapi/datafusion/index.html">DataFusion
in Python API</a> website. There you can browse
+the available functions and classes to see the breadth of available
functionality.</p>
<p>Modern IDEs use language servers such as
<a
href="https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance">Pylance</a>
or
@@ -1853,92 +1929,4 @@ ways to engage with the community.</p>
1 yujie.zhang
1 zembunia
1 哇呜哇呜呀咦耶
-</code></pre></div></div>]]></content><author><name>pmc</name></author><category
term="release" /><summary
type="html"><![CDATA[<!–]]></summary></entry><entry><title
type="html">Apache Arrow Ballista 0.9.0 Release</title><link
href="https://datafusion.apache.org/blog/2022/10/28/ballista-0.9.0/"
rel="alternate" type="text/html" title="Apache Arrow Ballista 0.9.0 Release"
/><published>2022-10-28T00:00:00+00:00</published><updated>2022-10-28T00:00:00+00:00</updated><id>https://datafusion
[...]
-
--->
-
-<h1 id="introduction">Introduction</h1>
-
-<p><a href="https://github.com/apache/arrow-ballista">Ballista</a> is an
Arrow-native distributed SQL query engine implemented in Rust.</p>
-
-<p>Ballista 0.9.0 is now available and is the most significant release since
the project was <a
href="http://arrow.apache.org/blog/2021/04/12/ballista-donation/">donated</a>
to Apache
-Arrow in 2021.</p>
-
-<p>This release represents 4 weeks of work, with 66 commits from 14
contributors:</p>
-
-<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre
class="highlight"><code> 22 Andy Grove
- 12 yahoNanJing
- 6 Daniël Heres
- 4 Brent Gardner
- 4 dependabot[bot]
- 4 r.4ntix
- 3 Stefan Stanciulescu
- 3 mingmwang
- 2 Ken Suenobu
- 2 Yang Jiang
- 1 Metehan Yıldırım
- 1 Trent Feda
- 1 askoa
- 1 yangzhong
-</code></pre></div></div>
-
-<h2 id="release-highlights">Release Highlights</h2>
-
-<p>The release notes below are not exhaustive and only expose selected
highlights of the release. Many other bug fixes
-and improvements have been made: we refer you to the <a
href="https://github.com/apache/arrow-ballista/blob/0.9.0-rc2/ballista/CHANGELOG.md">complete
changelog</a>.</p>
-
-<h3 id="support-for-cloud-object-stores-and-distributed-file-systems">Support
for Cloud Object Stores and Distributed File Systems</h3>
-
-<p>This is the first release of Ballista to have documented support for
querying data from distributed file systems and
-object stores. Currently, S3 and HDFS are supported. Support for Google Cloud
Storage and Azure Blob Storage is planned
-for the next release.</p>
-
-<h3 id="flight-sql--jdbc-support">Flight SQL & JDBC support</h3>
-
-<p>The Ballista scheduler now implements the <a
href="https://arrow.apache.org/blog/2022/02/16/introducing-arrow-flight-sql/">Flight
SQL protocol</a>, enabling any compliant Flight SQL client
-to connect to and run queries against a Ballista cluster.</p>
-
-<p>The Apache Arrow Flight SQL JDBC driver can be used to connect Business
Intelligence tools to a Ballista cluster.</p>
-
-<h3 id="python-bindings">Python Bindings</h3>
-
-<p>It is now possible to connect to a Ballista cluster from Python and execute
queries using both the DataFrame and SQL
-interfaces.</p>
-
-<h3 id="scheduler-web-user-interface-and-rest-api">Scheduler Web User
Interface and REST API</h3>
-
-<p>The scheduler now has a web user interface for monitoring queries. It is
also possible to view graphical query plans
-that show how the query was executed, along with metrics.</p>
-
-<p><img src="/blog/img/2022-10-28-ballista-web-ui.png" width="800" /></p>
-
-<p>The REST API that powers the user interface can also be accessed
directly.</p>
-
-<h3 id="simplified-kubernetes-deployment">Simplified Kubernetes Deployment</h3>
-
-<p>Ballista now provides a <a
href="https://github.com/apache/arrow-ballista/tree/master/helm">Helm chart</a>
for simplified Kubernetes deployment.</p>
-
-<h3 id="user-guide">User Guide</h3>
-
-<p>The user guide is published at <a
href="https://arrow.apache.org/ballista/">https://arrow.apache.org/ballista/</a>
and provides
-deployment instructions for Docker, Docker Compose, and Kubernetes, as well as
references for configuring and
-tuning Ballista.</p>
-
-<h2 id="roadmap">Roadmap</h2>
-
-<p>The Ballista community is currently focused on the following tasks for the
next release:</p>
-
-<ul>
- <li>Support for Azure Blob Storage and Google Cloud Storage</li>
- <li>Improve benchmark performance by implementing more query
optimizations</li>
- <li>Improve scheduler web user interface</li>
- <li>Publish Docker images to GitHub Container Registry</li>
-</ul>
-
-<p>The detailed list of issues planned for the 0.10.0 release can be found in
the <a href="https://github.com/apache/arrow-ballista/issues/361">tracking
issue</a>.</p>
-
-<h2 id="getting-involved">Getting Involved</h2>
-
-<p>Ballista has a friendly community and we welcome contributions. A good
place to start is to following the instructions
-in the <a href="https://arrow.apache.org/ballista/">user guide</a> and try
using Ballista with your own SQL queries and ETL pipelines, and file issues
-for any bugs or feature
suggestions.</p>]]></content><author><name>pmc</name></author><category
term="release" /><summary
type="html"><![CDATA[<!–]]></summary></entry></feed>
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@@ -38,7 +38,12 @@
<div class="wrapper">
<div class="home">
<h2 class="post-list-heading">Posts</h2>
- <ul class="post-list"><li><span class="post-meta">Aug 20, 2024</span>
+ <ul class="post-list"><li><span class="post-meta">Aug 28, 2024</span>
+ <h3>
+ <a class="post-link" href="/blog/2024/08/28/datafusion-comet-0.2.0/">
+ Apache DataFusion Comet 0.2.0 Release
+ </a>
+ </h3></li><li><span class="post-meta">Aug 20, 2024</span>
<h3>
<a class="post-link"
href="/blog/2024/08/20/python-datafusion-40.0.0/">
Apache DataFusion Python 40.1.0 Released, Significant usability
updates
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