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     new 7482f2d  Commit build products
7482f2d is described below

commit 7482f2d58a8618ce60a865c9d19a4ad607068d3e
Author: Build Pelican (action) <priv...@infra.apache.org>
AuthorDate: Tue Aug 12 13:53:56 2025 +0000

    Commit build products
---
 blog/2025/08/15/external-parquet-indexes/index.html | 17 ++++++++++++-----
 blog/author/andrew-lamb-influxdata.html             |  1 +
 blog/category/blog.html                             |  1 +
 blog/feed.xml                                       |  1 +
 blog/feeds/all-en.atom.xml                          | 18 +++++++++++++-----
 blog/feeds/andrew-lamb-influxdata.atom.xml          | 18 +++++++++++++-----
 blog/feeds/andrew-lamb-influxdata.rss.xml           |  1 +
 blog/feeds/blog.atom.xml                            | 18 +++++++++++++-----
 blog/index.html                                     |  1 +
 9 files changed, 56 insertions(+), 20 deletions(-)

diff --git a/blog/2025/08/15/external-parquet-indexes/index.html 
b/blog/2025/08/15/external-parquet-indexes/index.html
index 5617a0e..bd9d8a8 100644
--- a/blog/2025/08/15/external-parquet-indexes/index.html
+++ b/blog/2025/08/15/external-parquet-indexes/index.html
@@ -61,6 +61,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 -->
+<!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 -->
 <p>It is a common misconception that <a 
href="https://parquet.apache.org/";>Apache Parquet</a> requires (slow) reparsing 
of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -243,22 +244,28 @@ Please refer to the <a 
href="https://datafusion.apache.org/blog/2025/03/21/parqu
 indexes, as described in the next sections.</strong></p>
 <h2>Pruning Files with External Indexes</h2>
 <p>The first step in hierarchical pruning is quickly ruling out files that 
cannot
-match the query.  For example, if a system expects to have see queries that
+match the query. For example, if a system expects to see queries that
 apply to a time range, it might create an external index to store the minimum
 and maximum <code>time</code> values for each file. Then, during query 
processing, the
-system can quickly rule out files that cannot possibly contain relevant data.
-For example, if the user issues a query that only matches the last 7 days of
+system can quickly rule out files that cannot possibly contain relevant 
data.</p>
+<p>For example, if the user issues a query that only matches the last 7 days of
 data:</p>
 <pre><code class="language-sql">WHERE time &gt; now() - interval '7 days'
 </code></pre>
 <p>The index can quickly rule out files that only have data older than 7 
days.</p>
-<!-- TODO update the diagram to match the example above -- and have time 
predicates -->
 <div class="text-center">
 <img alt="Data Skipping: Pruning Files." class="img-responsive" 
src="/blog/images/external-parquet-indexes/prune-files.png" width="80%"/>
 </div>
 <p><strong>Figure 6</strong>: Step 1: File Pruning. Given a query predicate, 
systems use external
 indexes to quickly rule out files that cannot match the query. In this case, by
 consulting the index all but two files can be ruled out.</p>
+<p>External indexes offer much faster lookups and lower I/O overhead than 
Parquet's
+built-in file-level indexes by skipping further processing for many data files.
+Without an external index, systems typically fall back to reading each file's
+footer to find files needed for further processing. Skipping per-file 
processing
+is especially important when reading from remote object stores such as <a 
href="https://aws.amazon.com/s3/";>S3</a>,
+<a href="https://cloud.google.com/storage";>GCS</a> or <a 
href="https://azure.microsoft.com/en-us/services/storage/blobs/";>Azure Blob 
Store</a>, where each request adds [tens to hundreds of
+milliseconds of latency].</p>
 <p>There are many different systems that use external indexes to find files 
such as 
 <a 
href="https://cwiki.apache.org/confluence/display/Hive/Design#Design-Metastore";>Hive
 Metadata Store</a>,
 <a href="https://iceberg.apache.org/";>Iceberg</a>, 
@@ -581,7 +588,7 @@ execution works, help document or improve the DataFusion 
codebase, or just try
 it out, we would love for you to join us.</p>
 <h3>Footnotes</h3>
 <p><a id="footnote1"></a><code>1</code>: This trend is described in more 
detail in the <a 
href="https://www.influxdata.com/blog/flight-datafusion-arrow-parquet-fdap-architecture-influxdb/";>FDAP
 Stack</a> blog</p>
-<p><a id="footnote2"></a><code>2</code>: This layout is referred to a <a 
href="https://www.vldb.org/conf/2001/P169.pdf";>PAX in the
+<p><a id="footnote2"></a><code>2</code>: This layout is referred to as <a 
href="https://www.vldb.org/conf/2001/P169.pdf";>PAX in the
 database literature</a> after the first research paper to describe the 
technique.</p>
 <p><a id="footnote3"></a><code>3</code>: Benchmaxxing (verb): to add specific 
optimizations that only
 impact benchmark results and are not widely applicable to real world use 
cases.</p>
diff --git a/blog/author/andrew-lamb-influxdata.html 
b/blog/author/andrew-lamb-influxdata.html
index 63a6f3e..eaa8d31 100644
--- a/blog/author/andrew-lamb-influxdata.html
+++ b/blog/author/andrew-lamb-influxdata.html
@@ -46,6 +46,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 -->
+<!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 -->
 <p>It is a common misconception that <a 
href="https://parquet.apache.org/";>Apache Parquet</a> requires (slow) reparsing 
of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
diff --git a/blog/category/blog.html b/blog/category/blog.html
index 9bd7bbb..09687d8 100644
--- a/blog/category/blog.html
+++ b/blog/category/blog.html
@@ -47,6 +47,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 -->
+<!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 -->
 <p>It is a common misconception that <a 
href="https://parquet.apache.org/";>Apache Parquet</a> requires (slow) reparsing 
of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
diff --git a/blog/feed.xml b/blog/feed.xml
index 200a45e..0fe45fc 100644
--- a/blog/feed.xml
+++ b/blog/feed.xml
@@ -17,6 +17,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
diff --git a/blog/feeds/all-en.atom.xml b/blog/feeds/all-en.atom.xml
index 9e861ec..caefa20 100644
--- a/blog/feeds/all-en.atom.xml
+++ b/blog/feeds/all-en.atom.xml
@@ -17,6 +17,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -40,6 +41,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -222,22 +224,28 @@ Please refer to the &lt;a 
href="https://datafusion.apache.org/blog/2025/03/21/pa
 indexes, as described in the next sections.&lt;/strong&gt;&lt;/p&gt;
 &lt;h2&gt;Pruning Files with External Indexes&lt;/h2&gt;
 &lt;p&gt;The first step in hierarchical pruning is quickly ruling out files 
that cannot
-match the query.  For example, if a system expects to have see queries that
+match the query. For example, if a system expects to see queries that
 apply to a time range, it might create an external index to store the minimum
 and maximum &lt;code&gt;time&lt;/code&gt; values for each file. Then, during 
query processing, the
-system can quickly rule out files that cannot possibly contain relevant data.
-For example, if the user issues a query that only matches the last 7 days of
+system can quickly rule out files that cannot possibly contain relevant 
data.&lt;/p&gt;
+&lt;p&gt;For example, if the user issues a query that only matches the last 7 
days of
 data:&lt;/p&gt;
 &lt;pre&gt;&lt;code class="language-sql"&gt;WHERE time &amp;gt; now() - 
interval '7 days'
 &lt;/code&gt;&lt;/pre&gt;
 &lt;p&gt;The index can quickly rule out files that only have data older than 7 
days.&lt;/p&gt;
-&lt;!-- TODO update the diagram to match the example above -- and have time 
predicates --&gt;
 &lt;div class="text-center"&gt;
 &lt;img alt="Data Skipping: Pruning Files." class="img-responsive" 
src="/blog/images/external-parquet-indexes/prune-files.png" width="80%"/&gt;
 &lt;/div&gt;
 &lt;p&gt;&lt;strong&gt;Figure 6&lt;/strong&gt;: Step 1: File Pruning. Given a 
query predicate, systems use external
 indexes to quickly rule out files that cannot match the query. In this case, by
 consulting the index all but two files can be ruled out.&lt;/p&gt;
+&lt;p&gt;External indexes offer much faster lookups and lower I/O overhead 
than Parquet's
+built-in file-level indexes by skipping further processing for many data files.
+Without an external index, systems typically fall back to reading each file's
+footer to find files needed for further processing. Skipping per-file 
processing
+is especially important when reading from remote object stores such as &lt;a 
href="https://aws.amazon.com/s3/"&gt;S3&lt;/a&gt;,
+&lt;a href="https://cloud.google.com/storage"&gt;GCS&lt;/a&gt; or &lt;a 
href="https://azure.microsoft.com/en-us/services/storage/blobs/"&gt;Azure Blob 
Store&lt;/a&gt;, where each request adds [tens to hundreds of
+milliseconds of latency].&lt;/p&gt;
 &lt;p&gt;There are many different systems that use external indexes to find 
files such as 
 &lt;a 
href="https://cwiki.apache.org/confluence/display/Hive/Design#Design-Metastore"&gt;Hive
 Metadata Store&lt;/a&gt;,
 &lt;a href="https://iceberg.apache.org/"&gt;Iceberg&lt;/a&gt;, 
@@ -560,7 +568,7 @@ execution works, help document or improve the DataFusion 
codebase, or just try
 it out, we would love for you to join us.&lt;/p&gt;
 &lt;h3&gt;Footnotes&lt;/h3&gt;
 &lt;p&gt;&lt;a id="footnote1"&gt;&lt;/a&gt;&lt;code&gt;1&lt;/code&gt;: This 
trend is described in more detail in the &lt;a 
href="https://www.influxdata.com/blog/flight-datafusion-arrow-parquet-fdap-architecture-influxdb/"&gt;FDAP
 Stack&lt;/a&gt; blog&lt;/p&gt;
-&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to a &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
+&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to as &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
 database literature&lt;/a&gt; after the first research paper to describe the 
technique.&lt;/p&gt;
 &lt;p&gt;&lt;a id="footnote3"&gt;&lt;/a&gt;&lt;code&gt;3&lt;/code&gt;: 
Benchmaxxing (verb): to add specific optimizations that only
 impact benchmark results and are not widely applicable to real world use 
cases.&lt;/p&gt;
diff --git a/blog/feeds/andrew-lamb-influxdata.atom.xml 
b/blog/feeds/andrew-lamb-influxdata.atom.xml
index dfded17..8826861 100644
--- a/blog/feeds/andrew-lamb-influxdata.atom.xml
+++ b/blog/feeds/andrew-lamb-influxdata.atom.xml
@@ -17,6 +17,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -40,6 +41,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -222,22 +224,28 @@ Please refer to the &lt;a 
href="https://datafusion.apache.org/blog/2025/03/21/pa
 indexes, as described in the next sections.&lt;/strong&gt;&lt;/p&gt;
 &lt;h2&gt;Pruning Files with External Indexes&lt;/h2&gt;
 &lt;p&gt;The first step in hierarchical pruning is quickly ruling out files 
that cannot
-match the query.  For example, if a system expects to have see queries that
+match the query. For example, if a system expects to see queries that
 apply to a time range, it might create an external index to store the minimum
 and maximum &lt;code&gt;time&lt;/code&gt; values for each file. Then, during 
query processing, the
-system can quickly rule out files that cannot possibly contain relevant data.
-For example, if the user issues a query that only matches the last 7 days of
+system can quickly rule out files that cannot possibly contain relevant 
data.&lt;/p&gt;
+&lt;p&gt;For example, if the user issues a query that only matches the last 7 
days of
 data:&lt;/p&gt;
 &lt;pre&gt;&lt;code class="language-sql"&gt;WHERE time &amp;gt; now() - 
interval '7 days'
 &lt;/code&gt;&lt;/pre&gt;
 &lt;p&gt;The index can quickly rule out files that only have data older than 7 
days.&lt;/p&gt;
-&lt;!-- TODO update the diagram to match the example above -- and have time 
predicates --&gt;
 &lt;div class="text-center"&gt;
 &lt;img alt="Data Skipping: Pruning Files." class="img-responsive" 
src="/blog/images/external-parquet-indexes/prune-files.png" width="80%"/&gt;
 &lt;/div&gt;
 &lt;p&gt;&lt;strong&gt;Figure 6&lt;/strong&gt;: Step 1: File Pruning. Given a 
query predicate, systems use external
 indexes to quickly rule out files that cannot match the query. In this case, by
 consulting the index all but two files can be ruled out.&lt;/p&gt;
+&lt;p&gt;External indexes offer much faster lookups and lower I/O overhead 
than Parquet's
+built-in file-level indexes by skipping further processing for many data files.
+Without an external index, systems typically fall back to reading each file's
+footer to find files needed for further processing. Skipping per-file 
processing
+is especially important when reading from remote object stores such as &lt;a 
href="https://aws.amazon.com/s3/"&gt;S3&lt;/a&gt;,
+&lt;a href="https://cloud.google.com/storage"&gt;GCS&lt;/a&gt; or &lt;a 
href="https://azure.microsoft.com/en-us/services/storage/blobs/"&gt;Azure Blob 
Store&lt;/a&gt;, where each request adds [tens to hundreds of
+milliseconds of latency].&lt;/p&gt;
 &lt;p&gt;There are many different systems that use external indexes to find 
files such as 
 &lt;a 
href="https://cwiki.apache.org/confluence/display/Hive/Design#Design-Metastore"&gt;Hive
 Metadata Store&lt;/a&gt;,
 &lt;a href="https://iceberg.apache.org/"&gt;Iceberg&lt;/a&gt;, 
@@ -560,7 +568,7 @@ execution works, help document or improve the DataFusion 
codebase, or just try
 it out, we would love for you to join us.&lt;/p&gt;
 &lt;h3&gt;Footnotes&lt;/h3&gt;
 &lt;p&gt;&lt;a id="footnote1"&gt;&lt;/a&gt;&lt;code&gt;1&lt;/code&gt;: This 
trend is described in more detail in the &lt;a 
href="https://www.influxdata.com/blog/flight-datafusion-arrow-parquet-fdap-architecture-influxdb/"&gt;FDAP
 Stack&lt;/a&gt; blog&lt;/p&gt;
-&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to a &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
+&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to as &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
 database literature&lt;/a&gt; after the first research paper to describe the 
technique.&lt;/p&gt;
 &lt;p&gt;&lt;a id="footnote3"&gt;&lt;/a&gt;&lt;code&gt;3&lt;/code&gt;: 
Benchmaxxing (verb): to add specific optimizations that only
 impact benchmark results and are not widely applicable to real world use 
cases.&lt;/p&gt;
diff --git a/blog/feeds/andrew-lamb-influxdata.rss.xml 
b/blog/feeds/andrew-lamb-influxdata.rss.xml
index aab07a4..1529912 100644
--- a/blog/feeds/andrew-lamb-influxdata.rss.xml
+++ b/blog/feeds/andrew-lamb-influxdata.rss.xml
@@ -17,6 +17,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
diff --git a/blog/feeds/blog.atom.xml b/blog/feeds/blog.atom.xml
index a582648..3abee99 100644
--- a/blog/feeds/blog.atom.xml
+++ b/blog/feeds/blog.atom.xml
@@ -17,6 +17,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -40,6 +41,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 --&gt;
+&lt;!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 --&gt;
 &lt;p&gt;It is a common misconception that &lt;a 
href="https://parquet.apache.org/"&gt;Apache Parquet&lt;/a&gt; requires (slow) 
reparsing of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with
@@ -222,22 +224,28 @@ Please refer to the &lt;a 
href="https://datafusion.apache.org/blog/2025/03/21/pa
 indexes, as described in the next sections.&lt;/strong&gt;&lt;/p&gt;
 &lt;h2&gt;Pruning Files with External Indexes&lt;/h2&gt;
 &lt;p&gt;The first step in hierarchical pruning is quickly ruling out files 
that cannot
-match the query.  For example, if a system expects to have see queries that
+match the query. For example, if a system expects to see queries that
 apply to a time range, it might create an external index to store the minimum
 and maximum &lt;code&gt;time&lt;/code&gt; values for each file. Then, during 
query processing, the
-system can quickly rule out files that cannot possibly contain relevant data.
-For example, if the user issues a query that only matches the last 7 days of
+system can quickly rule out files that cannot possibly contain relevant 
data.&lt;/p&gt;
+&lt;p&gt;For example, if the user issues a query that only matches the last 7 
days of
 data:&lt;/p&gt;
 &lt;pre&gt;&lt;code class="language-sql"&gt;WHERE time &amp;gt; now() - 
interval '7 days'
 &lt;/code&gt;&lt;/pre&gt;
 &lt;p&gt;The index can quickly rule out files that only have data older than 7 
days.&lt;/p&gt;
-&lt;!-- TODO update the diagram to match the example above -- and have time 
predicates --&gt;
 &lt;div class="text-center"&gt;
 &lt;img alt="Data Skipping: Pruning Files." class="img-responsive" 
src="/blog/images/external-parquet-indexes/prune-files.png" width="80%"/&gt;
 &lt;/div&gt;
 &lt;p&gt;&lt;strong&gt;Figure 6&lt;/strong&gt;: Step 1: File Pruning. Given a 
query predicate, systems use external
 indexes to quickly rule out files that cannot match the query. In this case, by
 consulting the index all but two files can be ruled out.&lt;/p&gt;
+&lt;p&gt;External indexes offer much faster lookups and lower I/O overhead 
than Parquet's
+built-in file-level indexes by skipping further processing for many data files.
+Without an external index, systems typically fall back to reading each file's
+footer to find files needed for further processing. Skipping per-file 
processing
+is especially important when reading from remote object stores such as &lt;a 
href="https://aws.amazon.com/s3/"&gt;S3&lt;/a&gt;,
+&lt;a href="https://cloud.google.com/storage"&gt;GCS&lt;/a&gt; or &lt;a 
href="https://azure.microsoft.com/en-us/services/storage/blobs/"&gt;Azure Blob 
Store&lt;/a&gt;, where each request adds [tens to hundreds of
+milliseconds of latency].&lt;/p&gt;
 &lt;p&gt;There are many different systems that use external indexes to find 
files such as 
 &lt;a 
href="https://cwiki.apache.org/confluence/display/Hive/Design#Design-Metastore"&gt;Hive
 Metadata Store&lt;/a&gt;,
 &lt;a href="https://iceberg.apache.org/"&gt;Iceberg&lt;/a&gt;, 
@@ -560,7 +568,7 @@ execution works, help document or improve the DataFusion 
codebase, or just try
 it out, we would love for you to join us.&lt;/p&gt;
 &lt;h3&gt;Footnotes&lt;/h3&gt;
 &lt;p&gt;&lt;a id="footnote1"&gt;&lt;/a&gt;&lt;code&gt;1&lt;/code&gt;: This 
trend is described in more detail in the &lt;a 
href="https://www.influxdata.com/blog/flight-datafusion-arrow-parquet-fdap-architecture-influxdb/"&gt;FDAP
 Stack&lt;/a&gt; blog&lt;/p&gt;
-&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to a &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
+&lt;p&gt;&lt;a id="footnote2"&gt;&lt;/a&gt;&lt;code&gt;2&lt;/code&gt;: This 
layout is referred to as &lt;a 
href="https://www.vldb.org/conf/2001/P169.pdf"&gt;PAX in the
 database literature&lt;/a&gt; after the first research paper to describe the 
technique.&lt;/p&gt;
 &lt;p&gt;&lt;a id="footnote3"&gt;&lt;/a&gt;&lt;code&gt;3&lt;/code&gt;: 
Benchmaxxing (verb): to add specific optimizations that only
 impact benchmark results and are not widely applicable to real world use 
cases.&lt;/p&gt;
diff --git a/blog/index.html b/blog/index.html
index d011887..76f0ff6 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -70,6 +70,7 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 {% endcomment %}
 -->
+<!-- diagrams source 
https://docs.google.com/presentation/d/1e_Z_F8nt2rcvlNvhU11khF5lzJJVqNtqtyJ-G3mp4-Q
 -->
 <p>It is a common misconception that <a 
href="https://parquet.apache.org/";>Apache Parquet</a> requires (slow) reparsing 
of
 metadata and is limited to indexing structures provided by the format. In fact,
 caching parsed metadata and using custom external indexes along with


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