(datafusion-site) branch asf-staging updated: Commit build products

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github-bot pushed a commit to branch asf-staging
in repository https://gitbox.apache.org/repos/asf/datafusion-site.git


The following commit(s) were added to refs/heads/asf-staging by this push:
     new ab2e6e1  Commit build products
ab2e6e1 is described below

commit ab2e6e16e72c7835c1df03399b329db4ea36b229
Author: Build Pelican (action) <priv...@infra.apache.org>
AuthorDate: Tue Aug 12 13:01:52 2025 +0000

    Commit build products
---
 blog/2025/08/15/external-parquet-indexes/index.html | 4 ++--
 blog/feeds/all-en.atom.xml                          | 4 ++--
 blog/feeds/andrew-lamb-influxdata.atom.xml          | 4 ++--
 blog/feeds/blog.atom.xml                            | 4 ++--
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/blog/2025/08/15/external-parquet-indexes/index.html 
b/blog/2025/08/15/external-parquet-indexes/index.html
index d2d9bd0..e0ba7a0 100644
--- a/blog/2025/08/15/external-parquet-indexes/index.html
+++ b/blog/2025/08/15/external-parquet-indexes/index.html
@@ -173,8 +173,8 @@ Indexes and Bloom Filters<sup><a 
href="#footnote7">7</a></sup>. Compared to the
 interoperability and expensive transcoding/loading step of alternate file
 formats, Parquet is hard to beat.</p>
 <h2>Hierarchical Pruning Overview</h2>
-<p>The key technique for optimizing query processing systems is quickly 
skipping as
-much data as quickly as possible. Analytic systems typically use a hierarchical
+<p>The key technique for optimizing query processing systems is skipping as
+much data as possible, as quickly as possible. Analytic systems typically use 
a hierarchical
 approach to progressively narrow the set of data that needs to be processed. 
 The standard approach is shown in Figure 2:</p>
 <ol>
diff --git a/blog/feeds/all-en.atom.xml b/blog/feeds/all-en.atom.xml
index bd768ad..9396b65 100644
--- a/blog/feeds/all-en.atom.xml
+++ b/blog/feeds/all-en.atom.xml
@@ -152,8 +152,8 @@ Indexes and Bloom Filters&lt;sup&gt;&lt;a 
href="#footnote7"&gt;7&lt;/a&gt;&lt;/s
 interoperability and expensive transcoding/loading step of alternate file
 formats, Parquet is hard to beat.&lt;/p&gt;
 &lt;h2&gt;Hierarchical Pruning Overview&lt;/h2&gt;
-&lt;p&gt;The key technique for optimizing query processing systems is quickly 
skipping as
-much data as quickly as possible. Analytic systems typically use a hierarchical
+&lt;p&gt;The key technique for optimizing query processing systems is skipping 
as
+much data as possible, as quickly as possible. Analytic systems typically use 
a hierarchical
 approach to progressively narrow the set of data that needs to be processed. 
 The standard approach is shown in Figure 2:&lt;/p&gt;
 &lt;ol&gt;
diff --git a/blog/feeds/andrew-lamb-influxdata.atom.xml 
b/blog/feeds/andrew-lamb-influxdata.atom.xml
index 8f31588..5d1931b 100644
--- a/blog/feeds/andrew-lamb-influxdata.atom.xml
+++ b/blog/feeds/andrew-lamb-influxdata.atom.xml
@@ -152,8 +152,8 @@ Indexes and Bloom Filters&lt;sup&gt;&lt;a 
href="#footnote7"&gt;7&lt;/a&gt;&lt;/s
 interoperability and expensive transcoding/loading step of alternate file
 formats, Parquet is hard to beat.&lt;/p&gt;
 &lt;h2&gt;Hierarchical Pruning Overview&lt;/h2&gt;
-&lt;p&gt;The key technique for optimizing query processing systems is quickly 
skipping as
-much data as quickly as possible. Analytic systems typically use a hierarchical
+&lt;p&gt;The key technique for optimizing query processing systems is skipping 
as
+much data as possible, as quickly as possible. Analytic systems typically use 
a hierarchical
 approach to progressively narrow the set of data that needs to be processed. 
 The standard approach is shown in Figure 2:&lt;/p&gt;
 &lt;ol&gt;
diff --git a/blog/feeds/blog.atom.xml b/blog/feeds/blog.atom.xml
index 57f5f44..4d6f291 100644
--- a/blog/feeds/blog.atom.xml
+++ b/blog/feeds/blog.atom.xml
@@ -152,8 +152,8 @@ Indexes and Bloom Filters&lt;sup&gt;&lt;a 
href="#footnote7"&gt;7&lt;/a&gt;&lt;/s
 interoperability and expensive transcoding/loading step of alternate file
 formats, Parquet is hard to beat.&lt;/p&gt;
 &lt;h2&gt;Hierarchical Pruning Overview&lt;/h2&gt;
-&lt;p&gt;The key technique for optimizing query processing systems is quickly 
skipping as
-much data as quickly as possible. Analytic systems typically use a hierarchical
+&lt;p&gt;The key technique for optimizing query processing systems is skipping 
as
+much data as possible, as quickly as possible. Analytic systems typically use 
a hierarchical
 approach to progressively narrow the set of data that needs to be processed. 
 The standard approach is shown in Figure 2:&lt;/p&gt;
 &lt;ol&gt;


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