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The following commit(s) were added to refs/heads/asf-site by this push:
new ce058a2 Commit build products
ce058a2 is described below
commit ce058a23659c22dca931fc1a4f05d24bec373ef1
Author: Build Pelican (action) <[email protected]>
AuthorDate: Wed Oct 22 13:42:39 2025 +0000
Commit build products
---
output/2025/10/21/datafusion-comet-0.11.0/index.html | 4 ++--
output/feeds/all-en.atom.xml | 4 ++--
output/feeds/blog.atom.xml | 4 ++--
output/feeds/pmc.atom.xml | 4 ++--
4 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/output/2025/10/21/datafusion-comet-0.11.0/index.html
b/output/2025/10/21/datafusion-comet-0.11.0/index.html
index 62ce112..dc25f6f 100644
--- a/output/2025/10/21/datafusion-comet-0.11.0/index.html
+++ b/output/2025/10/21/datafusion-comet-0.11.0/index.html
@@ -146,9 +146,9 @@ contributors. See the <a
href="https://github.com/apache/datafusion-comet/blob/m
</ul>
<h3 id="comet-0110-tpc-h-performance">Comet 0.11.0 TPC-H Performance<a
class="headerlink" href="#comet-0110-tpc-h-performance" title="Permanent
link">¶</a></h3>
<p>Comet 0.11.0 continues to deliver significant performance improvements over
Spark. In our <a
href="https://github.com/apache/datafusion-comet/pull/2596";>TPC-H
benchmarks</a>, Comet reduced overall query runtime from 687 seconds to 302
seconds when processing 100 GB of Parquet data using a single 8-core executor,
achieving a <strong>2.2x speedup</strong>.</p>
-<p><img alt="TPC-H Overall Performance"
src="/images/comet-0.11.0/tpch_allqueries.png"/></p>
+<p><img alt="TPC-H Overall Performance" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_allqueries.png" width="100%"/></p>
<p>The performance gains are consistent across individual queries, with most
queries showing substantial improvements:</p>
-<p><img alt="TPC-H Query-by-Query Comparison"
src="/images/comet-0.11.0/tpch_queries_compare.png"/></p>
+<p><img alt="TPC-H Query-by-Query Comparison" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_queries_compare.png" width="100%"/></p>
<p>You can reproduce these benchmarks using our <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html";>Comet
Benchmarking Guide</a>. We encourage you to run your own performance tests
with your workloads.</p>
<h3 id="apache-iceberg-support">Apache Iceberg Support<a class="headerlink"
href="#apache-iceberg-support" title="Permanent link">¶</a></h3>
<ul>
diff --git a/output/feeds/all-en.atom.xml b/output/feeds/all-en.atom.xml
index ab443c1..a3a30a3 100644
--- a/output/feeds/all-en.atom.xml
+++ b/output/feeds/all-en.atom.xml
@@ -100,9 +100,9 @@ contributors. See the <a
href="https://github.com/apache/datafusion-comet/blo
</ul>
<h3 id="comet-0110-tpc-h-performance">Comet 0.11.0 TPC-H
Performance<a class="headerlink" href="#comet-0110-tpc-h-performance"
title="Permanent link">¶</a></h3>
<p>Comet 0.11.0 continues to deliver significant performance
improvements over Spark. In our <a
href="https://github.com/apache/datafusion-comet/pull/2596">TPC-H
benchmarks</a>, Comet reduced overall query runtime from 687 seconds to
302 seconds when processing 100 GB of Parquet data using a single 8-core
executor, achieving a <strong>2.2x speedup</strong>.</p>
-<p><img alt="TPC-H Overall Performance"
src="/images/comet-0.11.0/tpch_allqueries.png"/></p>
+<p><img alt="TPC-H Overall Performance" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_allqueries.png" width="100%"/></p>
<p>The performance gains are consistent across individual queries, with
most queries showing substantial improvements:</p>
-<p><img alt="TPC-H Query-by-Query Comparison"
src="/images/comet-0.11.0/tpch_queries_compare.png"/></p>
+<p><img alt="TPC-H Query-by-Query Comparison" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_queries_compare.png"
width="100%"/></p>
<p>You can reproduce these benchmarks using our <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html">Comet
Benchmarking Guide</a>. We encourage you to run your own performance
tests with your workloads.</p>
<h3 id="apache-iceberg-support">Apache Iceberg Support<a
class="headerlink" href="#apache-iceberg-support" title="Permanent
link">¶</a></h3>
<ul>
diff --git a/output/feeds/blog.atom.xml b/output/feeds/blog.atom.xml
index 89c1804..6b52cb2 100644
--- a/output/feeds/blog.atom.xml
+++ b/output/feeds/blog.atom.xml
@@ -100,9 +100,9 @@ contributors. See the <a
href="https://github.com/apache/datafusion-comet/blo
</ul>
<h3 id="comet-0110-tpc-h-performance">Comet 0.11.0 TPC-H
Performance<a class="headerlink" href="#comet-0110-tpc-h-performance"
title="Permanent link">¶</a></h3>
<p>Comet 0.11.0 continues to deliver significant performance
improvements over Spark. In our <a
href="https://github.com/apache/datafusion-comet/pull/2596">TPC-H
benchmarks</a>, Comet reduced overall query runtime from 687 seconds to
302 seconds when processing 100 GB of Parquet data using a single 8-core
executor, achieving a <strong>2.2x speedup</strong>.</p>
-<p><img alt="TPC-H Overall Performance"
src="/images/comet-0.11.0/tpch_allqueries.png"/></p>
+<p><img alt="TPC-H Overall Performance" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_allqueries.png" width="100%"/></p>
<p>The performance gains are consistent across individual queries, with
most queries showing substantial improvements:</p>
-<p><img alt="TPC-H Query-by-Query Comparison"
src="/images/comet-0.11.0/tpch_queries_compare.png"/></p>
+<p><img alt="TPC-H Query-by-Query Comparison" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_queries_compare.png"
width="100%"/></p>
<p>You can reproduce these benchmarks using our <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html">Comet
Benchmarking Guide</a>. We encourage you to run your own performance
tests with your workloads.</p>
<h3 id="apache-iceberg-support">Apache Iceberg Support<a
class="headerlink" href="#apache-iceberg-support" title="Permanent
link">¶</a></h3>
<ul>
diff --git a/output/feeds/pmc.atom.xml b/output/feeds/pmc.atom.xml
index 01a644c..cb853b7 100644
--- a/output/feeds/pmc.atom.xml
+++ b/output/feeds/pmc.atom.xml
@@ -100,9 +100,9 @@ contributors. See the <a
href="https://github.com/apache/datafusion-comet/blo
</ul>
<h3 id="comet-0110-tpc-h-performance">Comet 0.11.0 TPC-H
Performance<a class="headerlink" href="#comet-0110-tpc-h-performance"
title="Permanent link">¶</a></h3>
<p>Comet 0.11.0 continues to deliver significant performance
improvements over Spark. In our <a
href="https://github.com/apache/datafusion-comet/pull/2596">TPC-H
benchmarks</a>, Comet reduced overall query runtime from 687 seconds to
302 seconds when processing 100 GB of Parquet data using a single 8-core
executor, achieving a <strong>2.2x speedup</strong>.</p>
-<p><img alt="TPC-H Overall Performance"
src="/images/comet-0.11.0/tpch_allqueries.png"/></p>
+<p><img alt="TPC-H Overall Performance" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_allqueries.png" width="100%"/></p>
<p>The performance gains are consistent across individual queries, with
most queries showing substantial improvements:</p>
-<p><img alt="TPC-H Query-by-Query Comparison"
src="/images/comet-0.11.0/tpch_queries_compare.png"/></p>
+<p><img alt="TPC-H Query-by-Query Comparison" class="img-responsive"
src="/blog/images/comet-0.11.0/tpch_queries_compare.png"
width="100%"/></p>
<p>You can reproduce these benchmarks using our <a
href="https://datafusion.apache.org/comet/contributor-guide/benchmarking.html">Comet
Benchmarking Guide</a>. We encourage you to run your own performance
tests with your workloads.</p>
<h3 id="apache-iceberg-support">Apache Iceberg Support<a
class="headerlink" href="#apache-iceberg-support" title="Permanent
link">¶</a></h3>
<ul>
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