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new 412619c Commit build products
412619c is described below
commit 412619c7a5282cb570213ea1123b696727c44baf
Author: Build Pelican (action) <[email protected]>
AuthorDate: Thu Mar 20 18:00:30 2025 +0000
Commit build products
---
output/2025/03/20/parquet-pruning/index.html | 2 +-
output/feeds/all-en.atom.xml | 2 +-
output/feeds/blog.atom.xml | 2 +-
output/feeds/xiangpeng-hao.atom.xml | 2 +-
4 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/output/2025/03/20/parquet-pruning/index.html
b/output/2025/03/20/parquet-pruning/index.html
index 5afb3dc..1953076 100644
--- a/output/2025/03/20/parquet-pruning/index.html
+++ b/output/2025/03/20/parquet-pruning/index.html
@@ -68,7 +68,7 @@ limitations under the License.
<p>Achieving high performance adds complexity.
This post provides an overview of the techniques used in DataFusion to
selectively read Parquet files.</p>
<h3>The pipeline</h3>
-<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html```";>Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
+<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html";>Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
<p><img alt="Parquet pruning pipeline in DataFusion" class="img-responsive"
src="/blog/images/parquet-pruning/read-parquet.jpg" width="100%"/></p>
<h4>Background: Parquet file structure</h4>
<p>As shown in the figure above, each Parquet file has multiple row groups.
Each row group contains a set of columns, and each column contains a set of
pages.</p>
diff --git a/output/feeds/all-en.atom.xml b/output/feeds/all-en.atom.xml
index 178be50..119fa38 100644
--- a/output/feeds/all-en.atom.xml
+++ b/output/feeds/all-en.atom.xml
@@ -45,7 +45,7 @@ limitations under the License.
<p>Achieving high performance adds complexity.
This post provides an overview of the techniques used in DataFusion to
selectively read Parquet files.</p>
<h3>The pipeline</h3>
-<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html```">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
+<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
<p><img alt="Parquet pruning pipeline in DataFusion"
class="img-responsive" src="/blog/images/parquet-pruning/read-parquet.jpg"
width="100%"/></p>
<h4>Background: Parquet file structure</h4>
<p>As shown in the figure above, each Parquet file has multiple row
groups. Each row group contains a set of columns, and each column contains a
set of pages.</p>
diff --git a/output/feeds/blog.atom.xml b/output/feeds/blog.atom.xml
index 15bc2f2..63d79e3 100644
--- a/output/feeds/blog.atom.xml
+++ b/output/feeds/blog.atom.xml
@@ -45,7 +45,7 @@ limitations under the License.
<p>Achieving high performance adds complexity.
This post provides an overview of the techniques used in DataFusion to
selectively read Parquet files.</p>
<h3>The pipeline</h3>
-<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html```">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
+<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
<p><img alt="Parquet pruning pipeline in DataFusion"
class="img-responsive" src="/blog/images/parquet-pruning/read-parquet.jpg"
width="100%"/></p>
<h4>Background: Parquet file structure</h4>
<p>As shown in the figure above, each Parquet file has multiple row
groups. Each row group contains a set of columns, and each column contains a
set of pages.</p>
diff --git a/output/feeds/xiangpeng-hao.atom.xml
b/output/feeds/xiangpeng-hao.atom.xml
index ed74057..8d6ba2f 100644
--- a/output/feeds/xiangpeng-hao.atom.xml
+++ b/output/feeds/xiangpeng-hao.atom.xml
@@ -45,7 +45,7 @@ limitations under the License.
<p>Achieving high performance adds complexity.
This post provides an overview of the techniques used in DataFusion to
selectively read Parquet files.</p>
<h3>The pipeline</h3>
-<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html```">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
+<p>The diagram below illustrates the <a
href="https://docs.rs/datafusion/46.0.0/datafusion/datasource/physical_plan/parquet/source/struct.ParquetSource.html">Parquet
reading pipeline</a> in DataFusion, highlighting how data flows through
various pruning stages before being converted to Arrow format:</p>
<p><img alt="Parquet pruning pipeline in DataFusion"
class="img-responsive" src="/blog/images/parquet-pruning/read-parquet.jpg"
width="100%"/></p>
<h4>Background: Parquet file structure</h4>
<p>As shown in the figure above, each Parquet file has multiple row
groups. Each row group contains a set of columns, and each column contains a
set of pages.</p>
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