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commit b95fcfa2ca4b3957a3e636c23b90a846d5c3792a
Author: Build Pelican (action) <priv...@infra.apache.org>
AuthorDate: Sat Aug 9 10:03:30 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 df50aa2..5ad76ae 100644
--- a/blog/2025/08/15/external-parquet-indexes/index.html
+++ b/blog/2025/08/15/external-parquet-indexes/index.html
@@ -259,7 +259,7 @@ data:</p>
<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>There are many different systems that use external indexs to find files
such as
+<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>,
<a href="https://delta.io/";>Delta Lake</a>,
@@ -579,7 +579,7 @@ it out, we would love for you to join us.</p>
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>
-<p><a id="footnote4"></a><code>4</code>: Hive Style Partitioning is which is a
simple and widely used form of indexing based on directory paths, where the
directory structure is used to
+<p><a id="footnote4"></a><code>4</code>: Hive Style Partitioning is a simple
and widely used form of indexing based on directory paths, where the directory
structure is used to
store information about the data in the files. For example, a directory
structure like <code>year=2025/month=08/day=15/</code> can be used to store
data for a specific day
and the system can quickly rule out directories that do not match the query
predicate.</p>
<p><a id="footnote5"></a><code>5</code>: I am also convinced that we can speed
up the process of parsing Parquet footer
diff --git a/blog/feeds/all-en.atom.xml b/blog/feeds/all-en.atom.xml
index 4128311..b6a8345 100644
--- a/blog/feeds/all-en.atom.xml
+++ b/blog/feeds/all-en.atom.xml
@@ -238,7 +238,7 @@ data:</p>
<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>There are many different systems that use external indexs to find
files such as
+<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>,
<a href="https://delta.io/">Delta Lake</a>,
@@ -558,7 +558,7 @@ it out, we would love for you to join us.</p>
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>
-<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is which is a simple and widely used form of indexing based
on directory paths, where the directory structure is used to
+<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is a simple and widely used form of indexing based on
directory paths, where the directory structure is used to
store information about the data in the files. For example, a directory
structure like <code>year=2025/month=08/day=15/</code> can be used
to store data for a specific day
and the system can quickly rule out directories that do not match the query
predicate.</p>
<p><a id="footnote5"></a><code>5</code>: I am
also convinced that we can speed up the process of parsing Parquet footer
diff --git a/blog/feeds/andrew-lamb-influxdata.atom.xml
b/blog/feeds/andrew-lamb-influxdata.atom.xml
index 5428eab..a3c5589 100644
--- a/blog/feeds/andrew-lamb-influxdata.atom.xml
+++ b/blog/feeds/andrew-lamb-influxdata.atom.xml
@@ -238,7 +238,7 @@ data:</p>
<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>There are many different systems that use external indexs to find
files such as
+<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>,
<a href="https://delta.io/">Delta Lake</a>,
@@ -558,7 +558,7 @@ it out, we would love for you to join us.</p>
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>
-<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is which is a simple and widely used form of indexing based
on directory paths, where the directory structure is used to
+<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is a simple and widely used form of indexing based on
directory paths, where the directory structure is used to
store information about the data in the files. For example, a directory
structure like <code>year=2025/month=08/day=15/</code> can be used
to store data for a specific day
and the system can quickly rule out directories that do not match the query
predicate.</p>
<p><a id="footnote5"></a><code>5</code>: I am
also convinced that we can speed up the process of parsing Parquet footer
diff --git a/blog/feeds/blog.atom.xml b/blog/feeds/blog.atom.xml
index 58f480c..05f3435 100644
--- a/blog/feeds/blog.atom.xml
+++ b/blog/feeds/blog.atom.xml
@@ -238,7 +238,7 @@ data:</p>
<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>There are many different systems that use external indexs to find
files such as
+<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>,
<a href="https://delta.io/">Delta Lake</a>,
@@ -558,7 +558,7 @@ it out, we would love for you to join us.</p>
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>
-<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is which is a simple and widely used form of indexing based
on directory paths, where the directory structure is used to
+<p><a id="footnote4"></a><code>4</code>: Hive
Style Partitioning is a simple and widely used form of indexing based on
directory paths, where the directory structure is used to
store information about the data in the files. For example, a directory
structure like <code>year=2025/month=08/day=15/</code> can be used
to store data for a specific day
and the system can quickly rule out directories that do not match the query
predicate.</p>
<p><a id="footnote5"></a><code>5</code>: I am
also convinced that we can speed up the process of parsing Parquet footer
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