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website: add declarative pipeline support to Spark SQL highlights #666

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website: add declarative pipeline support to Spark SQL highlights
VHromyk Jan 30, 2026
6fd65cb
website: generate HTML after updating index.md
VHromyk Feb 3, 2026
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10 changes: 7 additions & 3 deletions index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -308,16 +308,20 @@ head(select(df, df$name.first))
<section class="py-5">
<div class="container">
<div class="row">
<div class="col-12 col-lg-5 order-2 order-lg-1 mt-5 mt-lg-0" style="font-size: 19px;line-height: 33px;">
<div class="col-12 col-lg-6 order-2 order-lg-1 mt-5 mt-lg-0" style="font-size: 19px;line-height: 33px;">
<div class="scalable-data-science">
<a href="{{site.baseurl}}/docs/latest/sql-performance-tuning.html#adaptive-query-execution" alt="Adaptive Query Execution">Adaptive Query Execution</a>
<p>Spark SQL adapts the execution plan at runtime, such as automatically setting the number of reducers and join algorithms.</p>
</div>
<div class="mt-5 scalable-data-science">
<div class="mt-4 scalable-data-science">
<a href="{{site.baseurl}}/docs/latest/sql-ref-ansi-compliance.html" alt="Support for ANSI SQL">Support for ANSI SQL</a>
<p>Use the same SQL you’re already comfortable with.</p>
</div>
<div class="mt-4 scalable-data-science">
<a href="{{site.baseurl}}/docs/latest/declarative-pipelines-programming-guide.html" alt="Declarative Pipeline Support">Declarative Pipeline Support</a>
<p>Use SQL with Spark Declarative Pipelines for easier dependency management and views for streaming or batch.</p>
</div>
<div class="mt-5 scalable-data-science">
<div class="mt-4 scalable-data-science">
<a href="{{site.baseurl}}/docs/latest/sql-data-sources-json.html" alt="Structured and unstructured data">Structured and unstructured data</a>
<p>Spark SQL works on structured tables and unstructured data such as JSON or images.</p>
</div>
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10 changes: 7 additions & 3 deletions site/index.html
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Original file line number Diff line number Diff line change
Expand Up @@ -455,16 +455,20 @@ <h2>What is Apache Spark<span class="tm" style="bottom: 14px;">&trade;</span>?</
<section class="py-5">
<div class="container">
<div class="row">
<div class="col-12 col-lg-5 order-2 order-lg-1 mt-5 mt-lg-0" style="font-size: 19px;line-height: 33px;">
<div class="col-12 col-lg-6 order-2 order-lg-1 mt-5 mt-lg-0" style="font-size: 19px;line-height: 33px;">
<div class="scalable-data-science">
<a href="/docs/latest/sql-performance-tuning.html#adaptive-query-execution" alt="Adaptive Query Execution">Adaptive Query Execution</a>
<p>Spark SQL adapts the execution plan at runtime, such as automatically setting the number of reducers and join algorithms.</p>
</div>
<div class="mt-5 scalable-data-science">
<div class="mt-4 scalable-data-science">
<a href="/docs/latest/sql-ref-ansi-compliance.html" alt="Support for ANSI SQL">Support for ANSI SQL</a>
<p>Use the same SQL you’re already comfortable with.</p>
</div>
<div class="mt-4 scalable-data-science">
<a href="/docs/latest/declarative-pipelines-programming-guide.html" alt="Declarative Pipeline Support">Declarative Pipeline Support</a>
<p>Use SQL with Spark Declarative Pipelines for easier dependency management and views for streaming or batch.</p>
</div>
<div class="mt-5 scalable-data-science">
<div class="mt-4 scalable-data-science">
<a href="/docs/latest/sql-data-sources-json.html" alt="Structured and unstructured data">Structured and unstructured data</a>
<p>Spark SQL works on structured tables and unstructured data such as JSON or images.</p>
</div>
Expand Down