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(beam) branch asf-site updated: Publishing website 2024/04/11 16:15:14 at commit 0e7b047
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new 7ef9a7a5529 Publishing website 2024/04/11 16:15:14 at commit 0e7b047
7ef9a7a5529 is described below
commit 7ef9a7a552992685c82f49f7a9a219f7bb10ec4c
Author: runner <ru...@main-runner-xcffs-sxlkc>
AuthorDate: Thu Apr 11 16:15:14 2024 +0000
Publishing website 2024/04/11 16:15:14 at commit 0e7b047
---
.../blog/beam-yaml-release/index.html | 11 +-
website/generated-content/blog/index.xml | 166 ++++++++-------------
.../generated-content/categories/blog/index.xml | 166 ++++++++-------------
website/generated-content/documentation/index.xml | 4 +-
.../python/aggregation/distinct/index.html | 2 +-
website/generated-content/feed.xml | 166 ++++++++-------------
website/generated-content/sitemap.xml | 2 +-
7 files changed, 205 insertions(+), 312 deletions(-)
diff --git a/website/generated-content/blog/beam-yaml-release/index.html b/website/generated-content/blog/beam-yaml-release/index.html
index 89700851e43..5533b86961c 100644
--- a/website/generated-content/blog/beam-yaml-release/index.html
+++ b/website/generated-content/blog/beam-yaml-release/index.html
@@ -58,7 +58,7 @@ custom parsers and other tools, that do not need to depend on Beam directly.</li
capabilities, but as these features are added, backwards compatibility will be preserved. This way, once a pipeline
is written, it will continue to work despite future released versions of the SDK.</li></ul><p>Overall, using Beam YAML provides a number of advantages. It makes pipeline development and management more efficient
and effective, enabling users to focus on the business logic and data processing tasks, rather than spending time on
-low-level coding details.</p><h1 id=case-study-a-simple-business-analytics-use-case>Case Study: A simple business analytics use-case</h1><p>Let’s take the following sample transaction data for a department store:</p><table><tr><td><strong>transaction_id</strong></td><td><strong>product_name</strong></td><td><strong>category</strong></td><td><strong>price</strong></td></tr><tr><td>T0012</td><td>Headphones</td><td>Electronics</td><td>59.99</td></tr><tr><td>T5034</td><td>Leather Jacke [...]
+low-level coding details.</p><h1 id=case-study-a-simple-business-analytics-use-case>Case Study: A simple business analytics use-case</h1><p>Let’s take the following sample transaction data for a department store:</p><table><thead><tr><th style=text-align:left>transaction_id</th><th style=text-align:left>product_name</th><th style=text-align:left>category</th><th style=text-align:left>price</th></tr></thead><tbody><tr><td style=text-align:left>T0012</td><td style=text-align:left>Hea [...]
department for audit purposes. Assuming the records are stored as a CSV file, a Beam YAML pipeline may look something
like this:</p><p>Source code for this example can be found
<a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/simple_filter.yaml>here</a>.</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-yaml data-lang=yaml><span class=line><span class=cl><span class=nt>pipeline</span><span class=p>:</span><span class=w>
@@ -78,7 +78,7 @@ like this:</p><p>Source code for this example can be found
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>input</span><span class=p>:</span><span class=w> </span><span class=l>FilterWithCategory</span><span class=w>
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>config</span><span class=p>:</span><span class=w>
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>path</span><span class=p>:</span><span class=w> </span><span class=l>/path/to/output</span><span class=w>
-</span></span></span></code></pre></div><p>This would leave us with the following data:</p><table><tr><td><strong>transaction_id</strong></td><td><strong>product_name</strong></td><td><strong>category</strong></td><td><strong>price</strong></td></tr><tr><td>T0012</td><td>Headphones</td><td>Electronics</td><td>59.99</td></tr><tr><td>T0104</td><td>Headphones</td><td>Electronics</td><td>59.99</td></tr><tr><td>T0302</td><td>Monitor</td><td>Electronics</td><td>249.99</td></tr></table><p>Now, [...]
+</span></span></span></code></pre></div><p>This would leave us with the following data:</p><table><thead><tr><th style=text-align:left>transaction_id</th><th style=text-align:left>product_name</th><th style=text-align:left>category</th><th style=text-align:left>price</th></tr></thead><tbody><tr><td style=text-align:left>T0012</td><td style=text-align:left>Headphones</td><td style=text-align:left>Electronics</td><td style=text-align:left>59.99</td></tr><tr><td style=text-align:left>T0104< [...]
correct number is being ordered from the supplier. Let’s also assume that they want to determine the total revenue for
each item. This simple aggregation can follow the Filter from the previous example as such:</p><p>Source code for this example can be found
<a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/simple_filter_and_combine.yaml>here</a>.</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-yaml data-lang=yaml><span class=line><span class=cl><span class=nt>pipeline</span><span class=p>:</span><span class=w>
@@ -110,12 +110,13 @@ each item. This simple aggregation can follow the Filter from the previous examp
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>input</span><span class=p>:</span><span class=w> </span><span class=l>CountNumberSold</span><span class=w>
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>config</span><span class=p>:</span><span class=w>
</span></span></span><span class=line><span class=cl><span class=w> </span><span class=nt>path</span><span class=p>:</span><span class=w> </span><span class=l>/path/to/output</span><span class=w>
-</span></span></span></code></pre></div><p>This would leave us with the following data:</p><table><tr><td><strong>product_name</strong></td><td><strong>num_sold</strong></td><td><strong>total_revenue</strong></td></tr><tr><td>Headphones</td><td>2</td><td>119.98</td></tr><tr><td>Monitor</td><td>1</td><td>249.99</td></tr></table><p>While this was a relatively simple use-case, it shows the power of Beam YAML and how easy it is to go from business
+</span></span></span></code></pre></div><p>This would leave us with the following data:</p><table><thead><tr><th style=text-align:left>product_name</th><th style=text-align:left>num_sold</th><th style=text-align:left>total_revenue</th></tr></thead><tbody><tr><td style=text-align:left>Headphones</td><td style=text-align:left>2</td><td style=text-align:left>119.98</td></tr><tr><td style=text-align:left>Monitor</td><td style=text-align:left>1</td><td style=text-align:left>249.99</td></tr></ [...]
use-case to a prototype data pipeline in just a few lines of YAML.</p><h1 id=getting-started-with-beam-yaml>Getting started with Beam YAML</h1><p>There are several resources that have been compiled to help users get familiar with Beam YAML.</p><h2 id=day-zero-notebook>Day Zero Notebook</h2><a target=_blank href=https://colab.research.google.com/github/apache/beam/blob/master/examples/notebooks/get-started/try-apache-beam-yaml.ipynb><img src=https://colab.research.google.com/assets/colab- [...]
<a href=https://colab.sandbox.google.com/>Google Colab</a>, an online Python notebook environment with a free attachable
runtime, containing some basic YAML pipeline examples.</p><h2 id=documentation>Documentation</h2><p>The Apache Beam website provides a set of <a href=https://beam.apache.org/documentation/sdks/yaml/>docs</a> that demonstrate the
-current capabilities of the Beam YAML SDK. These <a href=https://beam.apache.org/documentation/sdks/yaml/>docs</a> can be found
-on the website and offer a comprehensive overview of the SDK’s functionality.</p><h2 id=examples>Examples</h2><p>A catalog of examples can be found <a href=https://beam.apache.org/releases/yamldoc/current/>here</a>. These examples showcase
+current capabilities of the Beam YAML SDK. There is also a catalog of currently-supported turnkey transforms found
+<a href=https://beam.apache.org/releases/yamldoc/current/>here</a>.</p><h2 id=examples>Examples</h2><p>A catalog of examples can be found
+<a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples>here</a>. These examples showcase
all the turnkey transforms that can be utilized in Beam YAML. There are also a number of Dataflow Cookbook examples
that can be found <a href=https://github.com/GoogleCloudPlatform/dataflow-cookbook/tree/main/Python/yaml>here</a>.</p><h2 id=contributing>Contributing</h2><p>Developers who wish to help build out and add functionalities are welcome to start contributing to the effort in the
Beam YAML module found <a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml>here</a>.</p><p>There is also a list of open <a href="https://github.com/apache/beam/issues?q=is%3Aopen+is%3Aissue+label%3Ayaml">bugs</a> found
diff --git a/website/generated-content/blog/index.xml b/website/generated-content/blog/index.xml
index fd3102da56f..07133f945c7 100644
--- a/website/generated-content/blog/index.xml
+++ b/website/generated-content/blog/index.xml
@@ -51,66 +51,46 @@ low-level coding details.</p>
<h1 id="case-study-a-simple-business-analytics-use-case">Case Study: A simple business analytics use-case</h1>
<p>Let&rsquo;s take the following sample transaction data for a department store:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T5034
-</td>
-<td>Leather Jacket
-</td>
-<td>Apparel
-</td>
-<td>109.99
-</td>
+<td style="text-align:left">T5034</td>
+<td style="text-align:left">Leather Jacket</td>
+<td style="text-align:left">Apparel</td>
+<td style="text-align:left">109.99</td>
</tr>
<tr>
-<td>T0024
-</td>
-<td>Aluminum Mug
-</td>
-<td>Kitchen
-</td>
-<td>29.99
-</td>
+<td style="text-align:left">T0024</td>
+<td style="text-align:left">Aluminum Mug</td>
+<td style="text-align:left">Kitchen</td>
+<td style="text-align:left">29.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say that the business wants to get a record of transactions for all purchases made in the Electronics
department for audit purposes. Assuming the records are stored as a CSV file, a Beam YAML pipeline may look something
@@ -136,46 +116,34 @@ like this:</p>
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say the business wants to determine how much of each Electronics item is being sold to ensure that the
correct number is being ordered from the supplier. Let&rsquo;s also assume that they want to determine the total revenue for
@@ -213,30 +181,25 @@ each item. This simple aggregation can follow the Filter from the previous examp
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>product_name</strong>
-</td>
-<td><strong>num_sold</strong>
-</td>
-<td><strong>total_revenue</strong>
-</td>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">num_sold</th>
+<th style="text-align:left">total_revenue</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>Headphones
-</td>
-<td>2
-</td>
-<td>119.98
-</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">2</td>
+<td style="text-align:left">119.98</td>
</tr>
<tr>
-<td>Monitor
-</td>
-<td>1
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">1</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>While this was a relatively simple use-case, it shows the power of Beam YAML and how easy it is to go from business
use-case to a prototype data pipeline in just a few lines of YAML.</p>
@@ -251,10 +214,11 @@ use-case to a prototype data pipeline in just a few lines of YAML.</p>
runtime, containing some basic YAML pipeline examples.</p>
<h2 id="documentation">Documentation</h2>
<p>The Apache Beam website provides a set of <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> that demonstrate the
-current capabilities of the Beam YAML SDK. These <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> can be found
-on the website and offer a comprehensive overview of the SDK&rsquo;s functionality.</p>
+current capabilities of the Beam YAML SDK. There is also a catalog of currently-supported turnkey transforms found
+<a href="https://beam.apache.org/releases/yamldoc/current/">here</a>.</p>
<h2 id="examples">Examples</h2>
-<p>A catalog of examples can be found <a href="https://beam.apache.org/releases/yamldoc/current/">here</a>. These examples showcase
+<p>A catalog of examples can be found
+<a href="https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples">here</a>. These examples showcase
all the turnkey transforms that can be utilized in Beam YAML. There are also a number of Dataflow Cookbook examples
that can be found <a href="https://github.com/GoogleCloudPlatform/dataflow-cookbook/tree/main/Python/yaml">here</a>.</p>
<h2 id="contributing">Contributing</h2>
diff --git a/website/generated-content/categories/blog/index.xml b/website/generated-content/categories/blog/index.xml
index c6bdf08a490..c4f07988713 100644
--- a/website/generated-content/categories/blog/index.xml
+++ b/website/generated-content/categories/blog/index.xml
@@ -51,66 +51,46 @@ low-level coding details.</p>
<h1 id="case-study-a-simple-business-analytics-use-case">Case Study: A simple business analytics use-case</h1>
<p>Let&rsquo;s take the following sample transaction data for a department store:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T5034
-</td>
-<td>Leather Jacket
-</td>
-<td>Apparel
-</td>
-<td>109.99
-</td>
+<td style="text-align:left">T5034</td>
+<td style="text-align:left">Leather Jacket</td>
+<td style="text-align:left">Apparel</td>
+<td style="text-align:left">109.99</td>
</tr>
<tr>
-<td>T0024
-</td>
-<td>Aluminum Mug
-</td>
-<td>Kitchen
-</td>
-<td>29.99
-</td>
+<td style="text-align:left">T0024</td>
+<td style="text-align:left">Aluminum Mug</td>
+<td style="text-align:left">Kitchen</td>
+<td style="text-align:left">29.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say that the business wants to get a record of transactions for all purchases made in the Electronics
department for audit purposes. Assuming the records are stored as a CSV file, a Beam YAML pipeline may look something
@@ -136,46 +116,34 @@ like this:</p>
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say the business wants to determine how much of each Electronics item is being sold to ensure that the
correct number is being ordered from the supplier. Let&rsquo;s also assume that they want to determine the total revenue for
@@ -213,30 +181,25 @@ each item. This simple aggregation can follow the Filter from the previous examp
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>product_name</strong>
-</td>
-<td><strong>num_sold</strong>
-</td>
-<td><strong>total_revenue</strong>
-</td>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">num_sold</th>
+<th style="text-align:left">total_revenue</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>Headphones
-</td>
-<td>2
-</td>
-<td>119.98
-</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">2</td>
+<td style="text-align:left">119.98</td>
</tr>
<tr>
-<td>Monitor
-</td>
-<td>1
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">1</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>While this was a relatively simple use-case, it shows the power of Beam YAML and how easy it is to go from business
use-case to a prototype data pipeline in just a few lines of YAML.</p>
@@ -251,10 +214,11 @@ use-case to a prototype data pipeline in just a few lines of YAML.</p>
runtime, containing some basic YAML pipeline examples.</p>
<h2 id="documentation">Documentation</h2>
<p>The Apache Beam website provides a set of <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> that demonstrate the
-current capabilities of the Beam YAML SDK. These <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> can be found
-on the website and offer a comprehensive overview of the SDK&rsquo;s functionality.</p>
+current capabilities of the Beam YAML SDK. There is also a catalog of currently-supported turnkey transforms found
+<a href="https://beam.apache.org/releases/yamldoc/current/">here</a>.</p>
<h2 id="examples">Examples</h2>
-<p>A catalog of examples can be found <a href="https://beam.apache.org/releases/yamldoc/current/">here</a>. These examples showcase
+<p>A catalog of examples can be found
+<a href="https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples">here</a>. These examples showcase
all the turnkey transforms that can be utilized in Beam YAML. There are also a number of Dataflow Cookbook examples
that can be found <a href="https://github.com/GoogleCloudPlatform/dataflow-cookbook/tree/main/Python/yaml">here</a>.</p>
<h2 id="contributing">Contributing</h2>
diff --git a/website/generated-content/documentation/index.xml b/website/generated-content/documentation/index.xml
index c472e9e1a44..cdb43b92a71 100644
--- a/website/generated-content/documentation/index.xml
+++ b/website/generated-content/documentation/index.xml
@@ -19075,12 +19075,12 @@ Pydoc</a
class="language-py playground-snippet"
data-sdk="python"
data-path="SDK_PYTHON_Distinct"
-data-show="distinc"
+data-show="distinct"
></div>
</div>
<div
class="code-snippet code-snippet-playground"
-data-src="https://play.beam.apache.org/embedded?editable=1&examples=%5b%7b%22path%22%3a%22SDK_PYTHON_Distinct%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22distinc%22%7d%5d"
+data-src="https://play.beam.apache.org/embedded?editable=1&examples=%5b%7b%22path%22%3a%22SDK_PYTHON_Distinct%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22distinct%22%7d%5d"
data-width="100%"
data-height="700px"
></div>
diff --git a/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html b/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
index 142bce8b83d..31e546b2a3e 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
@@ -36,7 +36,7 @@
<img class=banner-img-mobile src=/images/banners/machine-learning/machine-learning-mobile.jpg alt="Machine Learning"></a></div></div><div class=swiper-pagination></div><div class=swiper-button-prev></div><div class=swiper-button-next></div></div><script src=/js/swiper-bundle.min.min.e0e8f81b0b15728d35ff73c07f42ddbb17a108d6f23df4953cb3e60df7ade675.js></script>
<script src=/js/sliders/top-banners.min.afa7d0a19acf7a3b28ca369490b3d401a619562a2a4c9612577be2f66a4b9855.js></script>
<script>function showSearch(){addPlaceholder();var e,t=document.querySelector(".searchBar");t.classList.remove("disappear"),e=document.querySelector("#iconsBar"),e.classList.add("disappear")}function addPlaceholder(){$("input:text").attr("placeholder","What are you looking for?")}function endSearch(){var e,t=document.querySelector(".searchBar");t.classList.add("disappear"),e=document.querySelector("#iconsBar"),e.classList.remove("disappear")}function blockScroll(){$("body").toggleClass(" [...]
-Pydoc</a></td></table><p><br><br><br></p><p>Produces a collection containing distinct elements of the input collection.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with two <code>PCollection</code>s of produce.</p><p>We use <code>Distinct</code> to get rid of duplicate elements, which outputs a <code>PCollection</code> of all the unique elements.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippe [...]
+Pydoc</a></td></table><p><br><br><br></p><p>Produces a collection containing distinct elements of the input collection.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with two <code>PCollection</code>s of produce.</p><p>We use <code>Distinct</code> to get rid of duplicate elements, which outputs a <code>PCollection</code> of all the unique elements.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippe [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/04/11</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="https://docs.google.com/forms/d/e/1FAIpQLSfID7abne3GE6k6RdJIyZhPz2Gef7UkpggUEhTIDjjplHuxSA/viewform?usp=header_link" target=_blank>SEND FEEDBACK</a></button></div></div></div><foo [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
diff --git a/website/generated-content/feed.xml b/website/generated-content/feed.xml
index 7d3ca69c00a..f1ed90b123c 100644
--- a/website/generated-content/feed.xml
+++ b/website/generated-content/feed.xml
@@ -51,66 +51,46 @@ low-level coding details.</p>
<h1 id="case-study-a-simple-business-analytics-use-case">Case Study: A simple business analytics use-case</h1>
<p>Let&rsquo;s take the following sample transaction data for a department store:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T5034
-</td>
-<td>Leather Jacket
-</td>
-<td>Apparel
-</td>
-<td>109.99
-</td>
+<td style="text-align:left">T5034</td>
+<td style="text-align:left">Leather Jacket</td>
+<td style="text-align:left">Apparel</td>
+<td style="text-align:left">109.99</td>
</tr>
<tr>
-<td>T0024
-</td>
-<td>Aluminum Mug
-</td>
-<td>Kitchen
-</td>
-<td>29.99
-</td>
+<td style="text-align:left">T0024</td>
+<td style="text-align:left">Aluminum Mug</td>
+<td style="text-align:left">Kitchen</td>
+<td style="text-align:left">29.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say that the business wants to get a record of transactions for all purchases made in the Electronics
department for audit purposes. Assuming the records are stored as a CSV file, a Beam YAML pipeline may look something
@@ -136,46 +116,34 @@ like this:</p>
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>transaction_id</strong>
-</td>
-<td><strong>product_name</strong>
-</td>
-<td><strong>category</strong>
-</td>
-<td><strong>price</strong>
-</td>
+<th style="text-align:left">transaction_id</th>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">category</th>
+<th style="text-align:left">price</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>T0012
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0012</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0104
-</td>
-<td>Headphones
-</td>
-<td>Electronics
-</td>
-<td>59.99
-</td>
+<td style="text-align:left">T0104</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">59.99</td>
</tr>
<tr>
-<td>T0302
-</td>
-<td>Monitor
-</td>
-<td>Electronics
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">T0302</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">Electronics</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>Now, let&rsquo;s say the business wants to determine how much of each Electronics item is being sold to ensure that the
correct number is being ordered from the supplier. Let&rsquo;s also assume that they want to determine the total revenue for
@@ -213,30 +181,25 @@ each item. This simple aggregation can follow the Filter from the previous examp
</span></span></span><span class="line"><span class="cl"><span class="w"> </span><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l">/path/to/output</span><span class="w">
</span></span></span></code></pre></div><p>This would leave us with the following data:</p>
<table>
+<thead>
<tr>
-<td><strong>product_name</strong>
-</td>
-<td><strong>num_sold</strong>
-</td>
-<td><strong>total_revenue</strong>
-</td>
+<th style="text-align:left">product_name</th>
+<th style="text-align:left">num_sold</th>
+<th style="text-align:left">total_revenue</th>
</tr>
+</thead>
+<tbody>
<tr>
-<td>Headphones
-</td>
-<td>2
-</td>
-<td>119.98
-</td>
+<td style="text-align:left">Headphones</td>
+<td style="text-align:left">2</td>
+<td style="text-align:left">119.98</td>
</tr>
<tr>
-<td>Monitor
-</td>
-<td>1
-</td>
-<td>249.99
-</td>
+<td style="text-align:left">Monitor</td>
+<td style="text-align:left">1</td>
+<td style="text-align:left">249.99</td>
</tr>
+</tbody>
</table>
<p>While this was a relatively simple use-case, it shows the power of Beam YAML and how easy it is to go from business
use-case to a prototype data pipeline in just a few lines of YAML.</p>
@@ -251,10 +214,11 @@ use-case to a prototype data pipeline in just a few lines of YAML.</p>
runtime, containing some basic YAML pipeline examples.</p>
<h2 id="documentation">Documentation</h2>
<p>The Apache Beam website provides a set of <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> that demonstrate the
-current capabilities of the Beam YAML SDK. These <a href="https://beam.apache.org/documentation/sdks/yaml/">docs</a> can be found
-on the website and offer a comprehensive overview of the SDK&rsquo;s functionality.</p>
+current capabilities of the Beam YAML SDK. There is also a catalog of currently-supported turnkey transforms found
+<a href="https://beam.apache.org/releases/yamldoc/current/">here</a>.</p>
<h2 id="examples">Examples</h2>
-<p>A catalog of examples can be found <a href="https://beam.apache.org/releases/yamldoc/current/">here</a>. These examples showcase
+<p>A catalog of examples can be found
+<a href="https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples">here</a>. These examples showcase
all the turnkey transforms that can be utilized in Beam YAML. There are also a number of Dataflow Cookbook examples
that can be found <a href="https://github.com/GoogleCloudPlatform/dataflow-cookbook/tree/main/Python/yaml">here</a>.</p>
<h2 id="contributing">Contributing</h2>
diff --git a/website/generated-content/sitemap.xml b/website/generated-content/sitemap.xml
index 7939a30a8a1..afded644427 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/categories/blog/</loc><lastmod>2024-04-11T09:49:08-04:00</lastmod></url><url><loc>/blog/</loc><lastmod>2024-04-11T09:49:08-04:00</lastmod></url><url><loc>/categories/</loc><lastmod>2024-04-11T09:49:08-04:00</lastmod></url><url><loc>/blog/beam-yaml-release/</loc><lastmod>2024-04-11T09:49:08-04:00</lastmod></url><url><loc>/ [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/categories/blog/</loc><lastmod>2024-04-11T12:09:54-04:00</lastmod></url><url><loc>/blog/</loc><lastmod>2024-04-11T12:09:54-04:00</lastmod></url><url><loc>/categories/</loc><lastmod>2024-04-11T12:09:54-04:00</lastmod></url><url><loc>/blog/beam-yaml-release/</loc><lastmod>2024-04-11T12:09:54-04:00</lastmod></url><url><loc>/ [...]
\ No newline at end of file