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Posted to commits@beam.apache.org by gi...@apache.org on 2024/03/26 23:38:04 UTC
(beam) branch asf-site updated: Publishing website 2024/03/26 23:37:56 at commit 4af19ff
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new 40406e86142 Publishing website 2024/03/26 23:37:56 at commit 4af19ff
40406e86142 is described below
commit 40406e86142341cdfbcf1bb7fe56a5d7728e7fe0
Author: runner <ru...@main-runner-zt478-pp99c>
AuthorDate: Tue Mar 26 23:37:56 2024 +0000
Publishing website 2024/03/26 23:37:56 at commit 4af19ff
---
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138 files changed, 522 insertions(+), 306 deletions(-)
diff --git a/website/generated-content/documentation/basics/index.html b/website/generated-content/documentation/basics/index.html
index bdbafaa61f9..3a04e0e6e18 100644
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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>
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-<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(" [...]
+<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(" [...]
data-parallel processing pipelines. To get started with Beam, you’ll need to
understand an important set of core concepts:</p><ul><li><a href=#pipeline><em>Pipeline</em></a> - A pipeline is a user-constructed graph of
transformations that defines the desired data processing operations.</li><li><a href=#pcollection><em>PCollection</em></a> - A <code>PCollection</code> is a data set or data
diff --git a/website/generated-content/documentation/glossary/index.html b/website/generated-content/documentation/glossary/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
\ No newline at end of file
diff --git a/website/generated-content/documentation/index.html b/website/generated-content/documentation/index.html
index beb6bee2a88..13264bd35f0 100644
--- a/website/generated-content/documentation/index.html
+++ b/website/generated-content/documentation/index.html
@@ -35,7 +35,7 @@
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<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>
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+<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(" [...]
the Beam programming model, SDKs, and runners.</p><h2 id=concepts>Concepts</h2><p>Learn about the Beam Programming Model and the concepts common to all Beam SDKs
and Runners.</p><ul><li>Start with the <a href=/documentation/basics/>Basics of the Beam model</a> for
introductory conceptual information.</li><li>Read the <a href=/documentation/programming-guide/>Programming Guide</a>, which
diff --git a/website/generated-content/documentation/index.xml b/website/generated-content/documentation/index.xml
index d3d205c651b..0e12a63f6a1 100644
--- a/website/generated-content/documentation/index.xml
+++ b/website/generated-content/documentation/index.xml
@@ -19113,7 +19113,7 @@ localStorage.setItem("language", "language-py")
<a
class="button"
target="_blank"
-href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.html#apache_beam.transforms.Enrichment"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment.html#apache_beam.transforms.enrichment.Enrichment"
><img
src="https://beam.apache.org/images/logos/sdks/python.png"
width="32px"
@@ -19130,11 +19130,95 @@ Pydoc</a
</tr>
</table>
<p>The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO"><code>RequestResponeIO</code></a> internally. This feature uses client-side throttling to ensure that the remote service isn&rsquo;t overloaded with requests. If service-side errors oc [...]
-<p>In Apache Beam 2.54.0 and later versions, the transform includes a built-in enrichment handler for <a href="https://cloud.google.com/bigtable/docs/overview">Bigtable</a>.</p>
-<h2 id="use-bigtable-to-enrich-data">Use Bigtable to enrich data</h2>
-<p>The following example demonstrates how to create a pipeline that use the enrichment transform with <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler"><code>BigTableEnrichmentHandler</code></a>.</p>
-<p>The data stored in the Bigtable cluster uses the following format:</p>
+<p>This transform is available in Apache Beam 2.54.0 and later versions.</p>
+<h2 id="examples">Examples</h2>
+<p>The following examples demonstrate how to create a pipeline that use the enrichment transform to enrich data from external services.</p>
+<div class="table-wrapper"><table>
+<thead>
+<tr>
+<th style="text-align:left">Service</th>
+<th style="text-align:left">Example</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">Cloud Bigtable</td>
+<td style="text-align:left"><a href="/documentation/transforms/python/elementwise/enrichment-bigtable/#example">Enrichment with Bigtable</a></td>
+</tr>
+<tr>
+<td style="text-align:left">Vertex AI Feature Store</td>
+<td style="text-align:left"><a href="/documentation/transforms/python/elementwise/enrichment-vertexai/#example-1-enrichment-with-vertex-ai-feature-store">Enrichment with Vertex AI Feature Store</a></td>
+</tr>
+<tr>
+<td style="text-align:left">Vertex AI Feature Store (Legacy)</td>
+<td style="text-align:left"><a href="/documentation/transforms/python/elementwise/enrichment-vertexai/#example-2-enrichment-with-vertex-ai-feature-store-legacy">Enrichment with Legacy Vertex AI Feature Store</a></td>
+</tr>
+</tbody>
+</table>
+</div>
+<h2 id="related-transforms">Related transforms</h2>
+<p>Not applicable.</p>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment.html#apache_beam.transforms.enrichment.Enrichment"
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png"
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
+</table>
+<p><br><br><br></p></description></item><item><title>Documentation: Enrichment with Bigtable</title><link>/documentation/transforms/python/elementwise/enrichment-bigtable/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/documentation/transforms/python/elementwise/enrichment-bigtable/</guid><description>
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+<h1 id="use-bigtable-to-enrich-data">Use Bigtable to enrich data</h1>
+<script type="text/javascript">
+localStorage.setItem("language", "language-py")
+</script>
<table>
+<tr>
+<td>
+<a>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler"
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png"
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
+</table>
+<p><br><br><br></p>
+</a>
+</td>
+</tr>
+</table>
+<p>In Apache Beam 2.54.0 and later versions, the enrichment transform includes a built-in enrichment handler for <a href="https://cloud.google.com/bigtable/docs/overview">Bigtable</a>.
+The following example demonstrates how to create a pipeline that use the enrichment transform with the <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler"><code>BigTableEnrichmentHandler</code></a> handler.</p>
+<p>The data stored in the Bigtable cluster uses the following format:</p>
+<div class="table-wrapper"><table>
<thead>
<tr>
<th style="text-align:center">Row key</th>
@@ -19170,6 +19254,7 @@ Pydoc</a
</tr>
</tbody>
</table>
+</div>
<div class='language-py snippet'>
<div class="notebook-skip code-snippet">
<a class="copy" type="button" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Copy to clipboard">
@@ -19223,7 +19308,238 @@ Row(sale_id=5, customer_id=5, product_id=4, quantity=2, product={&#39;produc
<a
class="button"
target="_blank"
-href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.html#apache_beam.transforms.Enrichment"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler"
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png"
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
+</table>
+<p><br><br><br></p></description></item><item><title>Documentation: Enrichment with Vertex AI Feature Store</title><link>/documentation/transforms/python/elementwise/enrichment-vertexai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/documentation/transforms/python/elementwise/enrichment-vertexai/</guid><description>
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+<h1 id="enrichment-with-google-cloud-vertex-ai-feature-store">Enrichment with Google Cloud Vertex AI Feature Store</h1>
+<script type="text/javascript">
+localStorage.setItem("language", "language-py")
+</script>
+<table>
+<tr>
+<td>
+<a>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler"
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png"
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
+</table>
+<p><br><br><br></p>
+</a>
+</td>
+</tr>
+</table>
+<p>In Apache Beam 2.55.0 and later versions, the enrichment transform includes a built-in enrichment handler for <a href="https://cloud.google.com/vertex-ai/docs/featurestore">Vertex AI Feature Store</a>.
+The following example demonstrates how to create a pipeline that use the enrichment transform with the <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler"><code>VertexAIFeatureStoreEnrichmentHandler</code></a> handler and the <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.t [...]
+<h2 id="example-1-enrichment-with-vertex-ai-feature-store">Example 1: Enrichment with Vertex AI Feature Store</h2>
+<p>The precomputed feature values stored in Vertex AI Feature Store uses the following format:</p>
+<div class="table-wrapper"><table>
+<thead>
+<tr>
+<th style="text-align:center">user_id</th>
+<th style="text-align:center">age</th>
+<th style="text-align:center">gender</th>
+<th style="text-align:center">state</th>
+<th style="text-align:center">country</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">21422</td>
+<td style="text-align:center">12</td>
+<td style="text-align:center">0</td>
+<td style="text-align:center">0</td>
+<td style="text-align:center">0</td>
+</tr>
+<tr>
+<td style="text-align:center">2963</td>
+<td style="text-align:center">12</td>
+<td style="text-align:center">1</td>
+<td style="text-align:center">1</td>
+<td style="text-align:center">1</td>
+</tr>
+<tr>
+<td style="text-align:center">20592</td>
+<td style="text-align:center">12</td>
+<td style="text-align:center">1</td>
+<td style="text-align:center">2</td>
+<td style="text-align:center">2</td>
+</tr>
+<tr>
+<td style="text-align:center">76538</td>
+<td style="text-align:center">12</td>
+<td style="text-align:center">1</td>
+<td style="text-align:center">3</td>
+<td style="text-align:center">0</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class='language-py snippet'>
+<div class="notebook-skip code-snippet">
+<a class="copy" type="button" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Copy to clipboard">
+<img src="/images/copy-icon.svg"/>
+</a>
+<div class="highlight"><pre tabindex="0" class="chroma"><code class="language-py" data-lang="py"><span class="line"><span class="cl"><span class="kn">import</span> <span class="nn">apache_beam</span> <span class="k">as</span> <span class="nn">beam</span>
+</span></span><span class="line"><span class="cl"><span class="kn">from</span> <span class="nn">apache_beam.transforms.enrichment</span> <span class="kn">import</span> <span class="n">Enrichment</span>
+</span></span><span class="line"><span class="cl"><span class="kn">from</span> <span class="nn">apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store</span> \
+</span></span><span class="line"><span class="cl"> <span class="kn">import</span> <span class="nn">VertexAIFeatureStoreEnrichmentHandler</span>
+</span></span><span class="line"><span class="cl">
+</span></span><span class="line"><span class="cl"><span class="n">project_id</span> <span class="o">=</span> <span class="s1">&#39;apache-beam-testing&#39;</span>
+</span></span><span class="line"><span class="cl"><span class="n">location</span> <span class="o">=</span> <span class="s1">&#39;us-central1&#39;</span>
+</span></span><span class="line"><span class="cl"><span class="n">api_endpoint</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&#34;</span><span class="si">{</span><span class="n">location</span><span class="si">}</span><span class="s2">-aiplatform.googleapis.com&#34;</span>
+</span></span><span class="line"><span class="cl"><span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">user_id</span><span class="o">=</span><span class="s1">&#39;2963&#39;</span><span class="p">,</span> <span class="n">product_id</span><span class="o">=</span><span class="mi">14235</span><span class="p">,</span> <span class="n">s [...]
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">user_id</span><span class="o">=</span><span class="s1">&#39;21422&#39;</span><span class="p">,</span> <span class="n">product_id</span><span class="o">=</span><span class="mi">11203</span><span class="p">,</span> <span class="n"> [...]
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">user_id</span><span class="o">=</span><span class="s1">&#39;20592&#39;</span><span class="p">,</span> <span class="n">product_id</span><span class="o">=</span><span class="mi">8579</span><span class="p">,</span> <span class="n">s [...]
+</span></span><span class="line"><span class="cl"><span class="p">]</span>
+</span></span><span class="line"><span class="cl">
+</span></span><span class="line"><span class="cl"><span class="n">vertex_ai_handler</span> <span class="o">=</span> <span class="n">VertexAIFeatureStoreEnrichmentHandler</span><span class="p">(</span>
+</span></span><span class="line"><span class="cl"> <span class="n">project</span><span class="o">=</span><span class="n">project_id</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">api_endpoint</span><span class="o">=</span><span class="n">api_endpoint</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">feature_store_name</span><span class="o">=</span><span class="s2">&#34;vertexai_enrichment_example&#34;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">feature_view_name</span><span class="o">=</span><span class="s2">&#34;users&#34;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">row_key</span><span class="o">=</span><span class="s2">&#34;user_id&#34;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"><span class="p">)</span>
+</span></span><span class="line"><span class="cl"><span class="k">with</span> <span class="n">beam</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">()</span> <span class="k">as</span> <span class="n">p</span><span class="p">:</span>
+</span></span><span class="line"><span class="cl"> <span class="n">_</span> <span class="o">=</span> <span class="p">(</span>
+</span></span><span class="line"><span class="cl"> <span class="n">p</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Create&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Create</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Enrich W/ Vertex AI&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">Enrichment</span><span class="p">(</span><span class="n">vertex_ai_handler</span><span class="p">)</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Print&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Map</span><span class="p">(</span><span class="nb">print</span><span class="p">))</span></span></span></code></pre></div>
+</div>
+</div>
+<p>
+<p class="notebook-skip">Output:</p>
+<div class="snippet">
+<div class="notebook-skip code-snippet without_switcher">
+<a class="copy" type="button" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Copy to clipboard">
+<img src="/images/copy-icon.svg"/>
+</a>
+<pre tabindex="0"><code>Row(user_id=&#39;2963&#39;, product_id=14235, sale_price=15.0, age=29.0, gender=&#39;1&#39;, state=&#39;97&#39;, country=&#39;2&#39;)
+Row(user_id=&#39;21422&#39;, product_id=11203, sale_price=12.0, age=36.0, state=&#39;184&#39;, gender=&#39;1&#39;, country=&#39;5&#39;)
+Row(user_id=&#39;20592&#39;, product_id=8579, sale_price=9.0, age=30.0, state=&#39;86&#39;, gender=&#39;1&#39;, country=&#39;4&#39;)</code></pre>
+</div>
+</div>
+</p>
+<h2 id="example-2-enrichment-with-vertex-ai-feature-store-legacy">Example 2: Enrichment with Vertex AI Feature Store (legacy)</h2>
+<p>The precomputed feature values stored in Vertex AI Feature Store (Legacy) use the following format:</p>
+<div class="table-wrapper"><table>
+<thead>
+<tr>
+<th style="text-align:left">entity_id</th>
+<th style="text-align:left">title</th>
+<th style="text-align:left">genres</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">movie_01</td>
+<td style="text-align:left">The Shawshank Redemption</td>
+<td style="text-align:left">Drama</td>
+</tr>
+<tr>
+<td style="text-align:left">movie_02</td>
+<td style="text-align:left">The Shining</td>
+<td style="text-align:left">Horror</td>
+</tr>
+<tr>
+<td style="text-align:left">movie_04</td>
+<td style="text-align:left">The Dark Knight</td>
+<td style="text-align:left">Action</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class='language-py snippet'>
+<div class="notebook-skip code-snippet">
+<a class="copy" type="button" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Copy to clipboard">
+<img src="/images/copy-icon.svg"/>
+</a>
+<div class="highlight"><pre tabindex="0" class="chroma"><code class="language-py" data-lang="py"><span class="line"><span class="cl"><span class="kn">import</span> <span class="nn">apache_beam</span> <span class="k">as</span> <span class="nn">beam</span>
+</span></span><span class="line"><span class="cl"><span class="kn">from</span> <span class="nn">apache_beam.transforms.enrichment</span> <span class="kn">import</span> <span class="n">Enrichment</span>
+</span></span><span class="line"><span class="cl"><span class="kn">from</span> <span class="nn">apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store</span> \
+</span></span><span class="line"><span class="cl"> <span class="kn">import</span> <span class="nn">VertexAIFeatureStoreLegacyEnrichmentHandler</span>
+</span></span><span class="line"><span class="cl">
+</span></span><span class="line"><span class="cl"><span class="n">project_id</span> <span class="o">=</span> <span class="s1">&#39;apache-beam-testing&#39;</span>
+</span></span><span class="line"><span class="cl"><span class="n">location</span> <span class="o">=</span> <span class="s1">&#39;us-central1&#39;</span>
+</span></span><span class="line"><span class="cl"><span class="n">api_endpoint</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&#34;</span><span class="si">{</span><span class="n">location</span><span class="si">}</span><span class="s2">-aiplatform.googleapis.com&#34;</span>
+</span></span><span class="line"><span class="cl"><span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">entity_id</span><span class="o">=</span><span class="s2">&#34;movie_01&#34;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;The Shawshank Redemption&#39;</span><span clas [...]
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">entity_id</span><span class="o">=</span><span class="s2">&#34;movie_02&#34;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&#34;The Shining&#34;</span><span class="p">),</span>
+</span></span><span class="line"><span class="cl"> <span class="n">beam</span><span class="o">.</span><span class="n">Row</span><span class="p">(</span><span class="n">entity_id</span><span class="o">=</span><span class="s2">&#34;movie_04&#34;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;The Dark Knight&#39;</span><span class="p">),& [...]
+</span></span><span class="line"><span class="cl"><span class="p">]</span>
+</span></span><span class="line"><span class="cl">
+</span></span><span class="line"><span class="cl"><span class="n">vertex_ai_handler</span> <span class="o">=</span> <span class="n">VertexAIFeatureStoreLegacyEnrichmentHandler</span><span class="p">(</span>
+</span></span><span class="line"><span class="cl"> <span class="n">project</span><span class="o">=</span><span class="n">project_id</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">location</span><span class="o">=</span><span class="n">location</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">api_endpoint</span><span class="o">=</span><span class="n">api_endpoint</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">entity_type_id</span><span class="o">=</span><span class="s1">&#39;movies&#39;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">feature_store_id</span><span class="o">=</span><span class="s2">&#34;movie_prediction_unique&#34;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"> <span class="n">feature_ids</span><span class="o">=</span><span class="p">[</span><span class="s2">&#34;title&#34;</span><span class="p">,</span> <span class="s2">&#34;genres&#34;</span><span class="p">],</span>
+</span></span><span class="line"><span class="cl"> <span class="n">row_key</span><span class="o">=</span><span class="s2">&#34;entity_id&#34;</span><span class="p">,</span>
+</span></span><span class="line"><span class="cl"><span class="p">)</span>
+</span></span><span class="line"><span class="cl"><span class="k">with</span> <span class="n">beam</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">()</span> <span class="k">as</span> <span class="n">p</span><span class="p">:</span>
+</span></span><span class="line"><span class="cl"> <span class="n">_</span> <span class="o">=</span> <span class="p">(</span>
+</span></span><span class="line"><span class="cl"> <span class="n">p</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Create&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Create</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Enrich W/ Vertex AI&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">Enrichment</span><span class="p">(</span><span class="n">vertex_ai_handler</span><span class="p">)</span>
+</span></span><span class="line"><span class="cl"> <span class="o">|</span> <span class="s2">&#34;Print&#34;</span> <span class="o">&gt;&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Map</span><span class="p">(</span><span class="nb">print</span><span class="p">))</span></span></span></code></pre></div>
+</div>
+</div>
+<p>
+<p class="notebook-skip">Output:</p>
+<div class="snippet">
+<div class="notebook-skip code-snippet without_switcher">
+<a class="copy" type="button" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Copy to clipboard">
+<img src="/images/copy-icon.svg"/>
+</a>
+<pre tabindex="0"><code>Row(entity_id=&#39;movie_01&#39;, title=&#39;The Shawshank Redemption&#39;, genres=&#39;Drama&#39;)
+Row(entity_id=&#39;movie_02&#39;, title=&#39;The Shining&#39;, genres=&#39;Horror&#39;)
+Row(entity_id=&#39;movie_04&#39;, title=&#39;The Dark Knight&#39;, genres=&#39;Action&#39;)</code></pre>
+</div>
+</div>
+</p>
+<h2 id="related-transforms">Related transforms</h2>
+<p>Not applicable.</p>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler"
><img
src="https://beam.apache.org/images/logos/sdks/python.png"
width="32px"
@@ -20045,111 +20361,4 @@ Pydoc</a
>
</td>
</table>
-<p><br><br><br></p></description></item><item><title>Documentation: FlatMapElements</title><link>/documentation/transforms/java/elementwise/flatmapelements/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/documentation/transforms/java/elementwise/flatmapelements/</guid><description>
-<!--
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-http://www.apache.org/licenses/LICENSE-2.0
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-<h1 id="flatmapelements">FlatMapElements</h1>
-<table align="left">
-<a target="_blank" class="button"
-href="https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/transforms/FlatMapElements.html">
-<img src="/images/logos/sdks/java.png" width="20px" height="20px"
-alt="Javadoc" />
-Javadoc
-</a>
-</table>
-<br><br>
-<p>Applies a simple 1-to-many mapping function over each element in the
-collection. The many elements are flattened into the resulting collection.</p>
-<h2 id="examples">Examples</h2>
-<div class="playground-wrapper">
-<div class="playground-snippets">
-<div
-class="language-java playground-snippet"
-data-sdk="java"
-data-path="SDK_JAVA_FlatMapElements"
-data-show="main_section"
-></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_JAVA_FlatMapElements%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d"
-data-width="100%"
-data-height="700px"
-></div>
-</div>
-<h2 id="related-transforms">Related transforms</h2>
-<ul>
-<li><a href="/documentation/transforms/java/elementwise/filter">Filter</a> is useful if the function is just
-deciding whether to output an element or not.</li>
-<li><a href="/documentation/transforms/java/elementwise/pardo">ParDo</a> is the most general element-wise mapping
-operation, and includes other abilities such as multiple output collections and side-inputs.</li>
-</ul></description></item><item><title>Documentation: Flatten</title><link>/documentation/transforms/java/other/flatten/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/documentation/transforms/java/other/flatten/</guid><description>
-<!--
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-http://www.apache.org/licenses/LICENSE-2.0
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-<h1 id="flatten">Flatten</h1>
-<table align="left">
-<a target="_blank" class="button"
-href="https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/transforms/Flatten.html">
-<img src="/images/logos/sdks/java.png" width="20px" height="20px"
-alt="Javadoc" />
-Javadoc
-</a>
-</table>
-<br><br>
-<p>Merges multiple <code>PCollection</code> objects into a single logical <code>PCollection</code>.</p>
-<p>By default, the coder for the output <code>PCollection</code> is the same as the coder
-for the first <code>PCollection</code> in the input <code>PCollectionList</code>. However, the
-input <code>PCollection</code> objects can each use different coders, as long as
-they all contain the same data type in your chosen language.</p>
-<p>When using <code>Flatten</code> to merge <code>PCollection</code> objects that have a windowing
-strategy applied, all of the <code>PCollection</code> objects you want to merge must
-use a compatible windowing strategy and window sizing. For example, all
-the collections you&rsquo;re merging must all use (hypothetically) identical
-5-minute fixed windows or 4-minute sliding windows starting every 30 seconds.</p>
-<p>If your pipeline attempts to use <code>Flatten</code> to merge <code>PCollection</code> objects
-with incompatible windows, Beam generates an <code>IllegalStateException</code> error
-when your pipeline is constructed</p>
-<p>See more information in the <a href="/documentation/programming-guide/#flatten">Beam Programming Guide</a>.</p>
-<h2 id="examples">Examples</h2>
-<p><strong>Example</strong>: Apply a <code>Flatten</code> transform to merge multiple <code>PCollection</code> objects</p>
-<div class="playground-wrapper">
-<div class="playground-snippets">
-<div
-class="language-java playground-snippet"
-data-sdk="java"
-data-path="PG_BEAMDOC_SDK_JAVA_Flatten"
-data-show="main_section"
-></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%22PG_BEAMDOC_SDK_JAVA_Flatten%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d"
-data-width="100%"
-data-height="700px"
-></div>
-</div>
-<p>The resulting collection now has all the elements: &ldquo;Hello&rdquo;, &ldquo;World&rdquo;,
-&ldquo;Beam&rdquo;, &ldquo;Is&rdquo;, and &ldquo;Fun&rdquo;.</p>
-<h2 id="related-transforms">Related transforms</h2>
-<ul>
-<li><a href="/documentation/transforms/java/elementwise/pardo">ParDo</a></li>
-<li><a href="/documentation/transforms/java/elementwise/partition">Partition</a></li>
-</ul></description></item></channel></rss>
\ No newline at end of file
+<p><br><br><br></p></description></item></channel></rss>
\ No newline at end of file
diff --git a/website/generated-content/documentation/io/built-in/cdap/index.html b/website/generated-content/documentation/io/built-in/cdap/index.html
index d68604bc2fa..06450f14b39 100644
--- a/website/generated-content/documentation/io/built-in/cdap/index.html
+++ b/website/generated-content/documentation/io/built-in/cdap/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl><span class=c1>// Read plugin parameters (e.g. from PipelineOptions) and put them into 'myPluginConfigParams' map.
</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>myPluginConfigParams</span><span class=o>.</span><span class=na>put</span><span class=o>(</span><span class=n>MyPluginConstants</span><span class=o>.</span><span class=na>USERNAME_PARAMETER_NAME</span><span class=o>,</span> <span class=n>pipelineOptions</span><span class=o>.</span><span class=na>getUsername</span><span class=o>());</span>
</span></span><span class=line><span class=cl><span class=c1>// ...
diff --git a/website/generated-content/documentation/io/built-in/google-bigquery/index.html b/website/generated-content/documentation/io/built-in/google-bigquery/index.html
index 6cad521ba52..bc8572498d9 100644
--- a/website/generated-content/documentation/io/built-in/google-bigquery/index.html
+++ b/website/generated-content/documentation/io/built-in/google-bigquery/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
to <a href=https://cloud.google.com/bigquery>Google BigQuery</a> tables.</p><h2 id=before-you-start>Before you start</h2><p class=language-java>To use BigQueryIO, add the Maven artifact dependency to your <code>pom.xml</code> file.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chro [...]
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>groupId</span><span class=o>></span><span class=n>org</span><span class=o>.</span><span class=na>apache</span><span class=o>.</span><span class=na>beam</span><span class=o></</span><span class=n>groupId</span><span class=o>></span>
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>artifactId</span><span class=o>></span><span class=n>beam</span><span class=o>-</span><span class=n>sdks</span><span class=o>-</span><span class=n>java</span><span class=o>-</span><span class=n>io</span><span class=o>-</span><span class=n>google</span><span class=o>-</span><span class=n>cloud</span><span class=o>-</span><span class=n>platform</span><span class=o></</span><span class=n>artifactI [...]
diff --git a/website/generated-content/documentation/io/built-in/hadoop/index.html b/website/generated-content/documentation/io/built-in/hadoop/index.html
index 65eb32cd4f8..cb224b8d43d 100644
--- a/website/generated-content/documentation/io/built-in/hadoop/index.html
+++ b/website/generated-content/documentation/io/built-in/hadoop/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl><span class=c1>// Set Hadoop InputFormat, key and value class in configuration
</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>myHadoopConfiguration</span><span class=o>.</span><span class=na>setClass</span><span class=o>(</span><span class=s>"mapreduce.job.inputformat.class"</span><span class=o>,</span> <span class=n>InputFormatClass</span><span class=o>,</span>
</span></span><span class=line><span class=cl> <span class=n>InputFormat</span><span class=o>.</span><span class=na>class</span><span class=o>);</span>
diff --git a/website/generated-content/documentation/io/built-in/hcatalog/index.html b/website/generated-content/documentation/io/built-in/hcatalog/index.html
index 0d0e2697eab..c4c22e3930a 100644
--- a/website/generated-content/documentation/io/built-in/hcatalog/index.html
+++ b/website/generated-content/documentation/io/built-in/hcatalog/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl><span class=n>configProperties</span><span class=o>.</span><span class=na>put</span><span class=o>(</span><span class=s>"hive.metastore.uris"</span><span class=o>,</span><span class=s>"thrift://metastore-host:port"</span><span class=o>);</span>
</span></span><span class=line><span class=cl><span class=n>pipeline</span>
</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=n>HCatalogIO</span><span class=o>.</span><span class=na>read</span><span class=o>()</span>
diff --git a/website/generated-content/documentation/io/built-in/parquet/index.html b/website/generated-content/documentation/io/built-in/parquet/index.html
index 3cc596d4f00..55669124cb2 100644
--- a/website/generated-content/documentation/io/built-in/parquet/index.html
+++ b/website/generated-content/documentation/io/built-in/parquet/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
to <a href=https://parquet.apache.org>Apache Parquet</a> files.</p><h2 id=before-you-start>Before you start</h2><p class=language-java>To use ParquetIO, add the Maven artifact dependency to your <code>pom.xml</code> file.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code c [...]
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>groupId</span><span class=o>></span><span class=n>org</span><span class=o>.</span><span class=na>apache</span><span class=o>.</span><span class=na>beam</span><span class=o></</span><span class=n>groupId</span><span class=o>></span>
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>artifactId</span><span class=o>></span><span class=n>beam</span><span class=o>-</span><span class=n>sdks</span><span class=o>-</span><span class=n>java</span><span class=o>-</span><span class=n>io</span><span class=o>-</span><span class=n>parquet</span><span class=o></</span><span class=n>artifactId</span><span class=o>></span>
diff --git a/website/generated-content/documentation/io/built-in/singlestore/index.html b/website/generated-content/documentation/io/built-in/singlestore/index.html
index 138fe5579f5..b3718801424 100644
--- a/website/generated-content/documentation/io/built-in/singlestore/index.html
+++ b/website/generated-content/documentation/io/built-in/singlestore/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
<groupId>org.apache.beam</groupId>
<artifactId>beam-sdks-java-io-singlestore</artifactId>
<version>2.55.0</version>
diff --git a/website/generated-content/documentation/io/built-in/snowflake/index.html b/website/generated-content/documentation/io/built-in/snowflake/index.html
index bc5bb5cd143..ef83665d2d7 100644
--- a/website/generated-content/documentation/io/built-in/snowflake/index.html
+++ b/website/generated-content/documentation/io/built-in/snowflake/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
<groupId>org.apache.beam</groupId>
<artifactId>beam-sdks-java-io-snowflake</artifactId>
<version>2.55.0</version>
diff --git a/website/generated-content/documentation/io/built-in/sparkreceiver/index.html b/website/generated-content/documentation/io/built-in/sparkreceiver/index.html
index 72e3b183e34..7aff32703b8 100644
--- a/website/generated-content/documentation/io/built-in/sparkreceiver/index.html
+++ b/website/generated-content/documentation/io/built-in/sparkreceiver/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>MyConfig</span> <span class=n>myPluginConfig</span> <span class=o>=</span> <span class=k>new</span> <span class=n>MyConfig</span><span class=o>(</span><span class=n>authToken</span><span class=o>,</span> <span class=n>apiServerUrl</span><span class=o>);</span>
</span></span><span class=line><span class=cl><span class=n>Object</span><span class=o>[]</span> <span class=n>myConstructorArgs</span> <span class=o>=</span> <span class=k>new</span> <span class=n>Object</span><span class=o>[]</span> <span class=o>{</span><span class=n>myConfig</span><span class=o>};</span>
</span></span><span class=line><span class=cl><span class=n>ReceiverBuilder</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>MyReceiver</span><span class=o><</span><span class=n>String</span><span class=o>>></span> <span class=n>myReceiverBuilder</span> <span class=o>=</span>
diff --git a/website/generated-content/documentation/io/built-in/webapis/index.html b/website/generated-content/documentation/io/built-in/webapis/index.html
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+++ b/website/generated-content/documentation/io/built-in/webapis/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
REST or gRPC.</p><p>Discussion below focuses on the Java SDK. Python examples will be added in the future; see tracker issue:
<a href=https://github.com/apache/beam/issues/30422>#30422</a>. Additionally, support for the Go SDK is not yet available;
see tracker issue: <a href=https://github.com/apache/beam/issues/30423>#30423</a>.</p><h2 id=requestresponseio-features>RequestResponseIO Features</h2><p>Features this transform provides include:</p><ul><li>developers provide minimal code that invokes Web API endpoint</li><li>delegate to the transform to handle request retries and exponential backoff</li><li>optional caching of request and response associations</li><li>optional metrics</li></ul><p>This guide currently focuses on the firs [...]
diff --git a/website/generated-content/documentation/io/connectors/index.html b/website/generated-content/documentation/io/connectors/index.html
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--- a/website/generated-content/documentation/io/connectors/index.html
+++ b/website/generated-content/documentation/io/connectors/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
<a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/FileIO.html>native</a></td><td class=present>✔
<a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.fileio.html>native</a></td><td class=present>✔
<a href=https://pkg.go.dev/github.com/apache/beam/sdks/v2/go/pkg/beam/io/fileio>native</a></td><td>Not available</td><td class=present>✔</td><td class=present>✔</td></tr><tr><td>AvroIO</td><td class=present>✔</td><td class=present>✔</td><td class=present>✔
diff --git a/website/generated-content/documentation/io/developing-io-java/index.html b/website/generated-content/documentation/io/developing-io-java/index.html
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+++ b/website/generated-content/documentation/io/developing-io-java/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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>
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+<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(" [...]
<a href=/documentation/io/developing-io-overview/>new I/O connector overview</a>.</p><p>To connect to a data store that isn’t supported by Beam’s existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms; however,
diff --git a/website/generated-content/documentation/io/developing-io-overview/index.html b/website/generated-content/documentation/io/developing-io-overview/index.html
index a1407e8c2ef..c15e473eb18 100644
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+++ b/website/generated-content/documentation/io/developing-io-overview/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
the <a href=/documentation/io/built-in/>Built-in I/O connectors</a></em></p><p>To connect to a data store that isn’t supported by Beam’s existing I/O
connectors, you must create a custom I/O connector. A connector usually consists
of a source and a sink. All Beam sources and sinks are composite transforms;
diff --git a/website/generated-content/documentation/io/developing-io-python/index.html b/website/generated-content/documentation/io/developing-io-python/index.html
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+++ b/website/generated-content/documentation/io/developing-io-python/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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>
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-<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(" [...]
+<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(" [...]
the <a href=/documentation/io/developing-io-overview/>new I/O connector overview</a>.</p><p>To connect to a data store that isn’t supported by Beam’s existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms; however,
diff --git a/website/generated-content/documentation/io/io-standards/index.html b/website/generated-content/documentation/io/io-standards/index.html
index 0bb512dae0a..6c577da43fe 100644
--- a/website/generated-content/documentation/io/io-standards/index.html
+++ b/website/generated-content/documentation/io/io-standards/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl><span class=p><</span><span class=nt>table</span> <span class=na>class</span><span class=o>=</span><span class=s>"table table-bordered table-io-standards-relational-features"</span><span class=p>></span>
</span></span><span class=line><span class=cl> <span class=p><</span><span class=nt>tr</span><span class=p>></span>
</span></span><span class=line><span class=cl> <span class=p><</span><span class=nt>th</span><span class=p>></span>
diff --git a/website/generated-content/documentation/io/testing/index.html b/website/generated-content/documentation/io/testing/index.html
index 0bbdd899104..1cd87d3138e 100644
--- a/website/generated-content/documentation/io/testing/index.html
+++ b/website/generated-content/documentation/io/testing/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
</code></pre><p>Example usage on HDFS filesystem and Direct runner:</p><p>NOTE: Below setup will only work when /etc/hosts file contains entries with hadoop namenode and hadoop datanodes external IPs. Please see explanation in: <a href=https://github.com/apache/beam/blob/master/.test-infra/kubernetes/hadoop/SmallITCluster/hdfs-single-datanode-cluster.yml>Small Cluster config file</a> and <a href=https://github.com/apache/beam/blob/master/.test-infra/kubernetes/hadoop/LargeITCluster/hdfs- [...]
./gradlew integrationTest -p sdks/java/io/file-based-io-tests -DintegrationTestPipelineOptions='["--numberOfRecords=1000", "--filenamePrefix=hdfs://HDFS_NAMENODE:9000/XMLIOIT", "--hdfsConfiguration=[{\"fs.defaultFS\":\"hdfs://HDFS_NAMENODE:9000\",\"dfs.replication\":1,\"dfs.client.use.datanode.hostname\":\"true\" }]" ]' -DintegrationTestRunner=direct -Dfilesystem=hdfs --tests org.apache.beam.sdk.io.xml.XmlIOIT
diff --git a/website/generated-content/documentation/ml/about-ml/index.html b/website/generated-content/documentation/ml/about-ml/index.html
index 9a540512a59..6037ed2f9b5 100644
--- a/website/generated-content/documentation/ml/about-ml/index.html
+++ b/website/generated-content/documentation/ml/about-ml/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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></a></td><td><a target=_blank class=button href=https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/extensions/python/transforms/RunInference.html><img src=https://beam.apache.org/images/logos/sdks/java.png width=20px height=30px alt=Javadoc>
Javadoc</a></td></tr></table><p>You can use Apache Beam to:</p><ul><li>Process large volumes of data, both for preprocessing and for inference.</li><li>Experiment with your data during the exploration phase of your project.</li><li>Upscale your data pipelines as part of your ML ops ecosystem in a production environment.</li><li>Run your model in production on a varying data load, both in batch and streaming.</li></ul><h2 id=aiml-workloads>AI/ML workloads</h2><p>You can use Apache Beam fo [...]
<a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/utils/shared.py#L20><code>Shared</code> class documentation</a>.</p><h3 id=modify-a-python-pipeline-to-use-an-ml-model>Modify a Python pipeline to use an ML model</h3><p>To use the RunInference transform, add the following code to your pipeline:</p><pre tabindex=0><code>from apache_beam.ml.inference.base import RunInference
diff --git a/website/generated-content/documentation/ml/anomaly-detection/index.html b/website/generated-content/documentation/ml/anomaly-detection/index.html
index 01fcf0b1e7c..c8b51cff59c 100644
--- a/website/generated-content/documentation/ml/anomaly-detection/index.html
+++ b/website/generated-content/documentation/ml/anomaly-detection/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
├── pipeline/
│ ├── __init__.py
│ ├── options.py
diff --git a/website/generated-content/documentation/ml/data-processing/index.html b/website/generated-content/documentation/ml/data-processing/index.html
index 1a8dc72b550..f708ac9b98f 100644
--- a/website/generated-content/documentation/ml/data-processing/index.html
+++ b/website/generated-content/documentation/ml/data-processing/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
from apache_beam.runners.interactive.interactive_runner import InteractiveRunner
import apache_beam.runners.interactive.interactive_beam as ib
diff --git a/website/generated-content/documentation/ml/inference-overview/index.html b/website/generated-content/documentation/ml/inference-overview/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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></a></td><td><a target=_blank class=button href=https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/extensions/python/transforms/RunInference.html><img src=https://beam.apache.org/images/logos/sdks/java.png width=20px height=30px alt=Javadoc>
Javadoc</a></td></tr></table><p>The RunInference API is available with the Beam Python SDK versions 2.40.0 and later. You can use Apache Beam with the RunInference API to use machine learning (ML) models to do local and remote inference with batch and streaming pipelines. Starting with Apache Beam 2.40.0, PyTorch and Scikit-learn frameworks are supported. Tensorflow models are supported through <code>tfx-bsl</code>. For more deatils about using RunInference with Python, see <a href=/docu [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
diff --git a/website/generated-content/documentation/ml/large-language-modeling/index.html b/website/generated-content/documentation/ml/large-language-modeling/index.html
index d806da31b0e..ef27b545941 100644
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
For memory-intensive models, RunInference provides a mechanism for more intelligently sharing memory across multiple processes to reduce the overall memory footprint. To enable this mode, users just have
to set the parameter <code>large_model</code> to True in their model configuration (see below for an example), and Beam will take care of the memory management.</p><h3 id=running-an-example-pipeline-with-t5>Running an Example Pipeline with T5</h3><p>This example demonstrates running inference with a <code>T5</code> language model using <code>RunInference</code> in a pipeline. <code>T5</code> is an encoder-decoder model pre-trained on a multi-task mixture of unsupervised and supervised ta [...]
</code></pre><p>Next, install the required packages listed in <a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/inference/large_language_modeling/requirements.txt>requirements.txt</a> and pass the required arguments. You can download the <code>T5-11b</code> model from <a href=https://huggingface.co/t5-11b>Hugging Face Hub</a> with the following steps:</p><ul><li>Install Git LFS following the instructions <a href="https://docs.github.com/en/repositories/w [...]
diff --git a/website/generated-content/documentation/ml/model-evaluation/index.html b/website/generated-content/documentation/ml/model-evaluation/index.html
index 05a9cf2a7b7..895de58dc4f 100644
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+++ b/website/generated-content/documentation/ml/model-evaluation/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=c1># Define the TFMA evaluation configuration</span>
</span></span><span class=line><span class=cl><span class=n>eval_config</span> <span class=o>=</span> <span class=n>text_format</span><span class=o>.</span><span class=n>Parse</span><span class=p>(</span><span class=s2>"""
diff --git a/website/generated-content/documentation/ml/multi-language-inference/index.html b/website/generated-content/documentation/ml/multi-language-inference/index.html
index 0f694aba525..0328f1fd3ad 100644
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
a composite Python transform is called to do the preprocessing, postprocessing, and inference.
Lastly, the data is written back to Google Cloud Storage in the Java pipeline.</p><p>You can find the code used in this example in the <a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/inference/multi_language_inference>Beam repository</a>.</p><h2 id=nlp-model-and-dataset>NLP model and dataset</h2><p>A <code>bert-base-uncased</code> natural language processing (NLP) model is used to make inference. This model is open source and available on <a href=https [...]
used to predict the last word of a sentence based on the context of the sentence.</p><p>We also use an <a href="https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv">IMDB movie reviews</a> dataset, which is an open-source dataset that is available on Kaggle.</p><p>The following is a sample of the data after preprocessing:</p><table><thead><tr><th><strong>Text</strong></th><th style=text-align:left><strong>Last Word</strong></th></tr></ [...]
diff --git a/website/generated-content/documentation/ml/multi-model-pipelines/index.html b/website/generated-content/documentation/ml/multi-model-pipelines/index.html
index 8722b7c7b65..965da4bbf6c 100644
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
and transform input data, run it through a model, and then pass the outcome of your first model
into a second model. This page explains how multi-model pipelines work and gives an overview of what
you need to know to build one.</p><p>Before reading this section, it is recommended that you become familiar with the information in
diff --git a/website/generated-content/documentation/ml/online-clustering/index.html b/website/generated-content/documentation/ml/online-clustering/index.html
index b1f1fc466b4..731041e76d9 100644
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
├── pipeline/
│ ├── __init__.py
│ ├── options.py
diff --git a/website/generated-content/documentation/ml/orchestration/index.html b/website/generated-content/documentation/ml/orchestration/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Without this knowledge, troubleshooting, monitoring, and improving your ML solutions becomes increaseingly difficult when your solutions grow in size.</li></ul><p>The solution: MLOps. MLOps is an umbrella term used to describe best practices and guiding principles that aim to make the development and maintenance of machine learning systems seamless and efficient. MLOps most often entails automating machine learning workflows throughout the model and data lifecycle. Popular frameworks to [...]
When choosing between the two frameworks, you need to consider the trade-off between flexibility and programming overhead.</li></ul><p>For simplicity, the workflows only contain three components: data ingestion, data preprocessing, and model training. Depending on the scenario, you can add a range of extra components, such as model evaluation and model deployment. This example focuses on the preprocessing component, because it demonstrates how to use Apache Beam in an ML workflow for eff [...]
├── pipeline.py
diff --git a/website/generated-content/documentation/ml/overview/index.html b/website/generated-content/documentation/ml/overview/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></td></table><p><br><br><br></p></a></td><td><a target=_blank class=button href=https://beam.apache.org/releases/javadoc/current/index.html?org/apache/beam/sdk/extensions/python/transforms/RunInference.html><img src=https://beam.apache.org/images/logos/sdks/java.png width=20px height=30px alt=Javadoc>
Javadoc</a></td></tr></table><p>Being productive and successful as a machine learning practitioner is often dependent on your ability to efficiently leverage large volumes of data in a way that is uniquely tailored to your resources, requirements, and budget. Whether starting your next AI/ML project or upscaling an existing project, consider adding Apache Beam to your project.</p><h2 id=use-beam-ml>Use Beam ML</h2><p>I want use Beam ML to do:</p><ul><li><a href=#prediction-and-inference> [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
diff --git a/website/generated-content/documentation/ml/per-entity-training/index.html b/website/generated-content/documentation/ml/per-entity-training/index.html
index 1893e7065c4..aef0e64370c 100644
--- a/website/generated-content/documentation/ml/per-entity-training/index.html
+++ b/website/generated-content/documentation/ml/per-entity-training/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
You can view the code on <a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/per_entity_training.py>GitHub</a>.
Use <code>python per_entity_training.py --input path/to/adult.data</code></p><h3 id=train-the-pipeline>Train the pipeline</h3><p>The pipeline can be broken down into the following main steps:</p><ol><li>Read the data from the provided input path.</li><li>Filter the data based on some criteria.</li><li>Create key based on education level.</li><li>Group dataset based on the key generated.</li><li>Preprocess the dataset.</li><li>Train model per education level.</li><li>Save the trained mode [...]
_ = (
diff --git a/website/generated-content/documentation/ml/preprocess-data/index.html b/website/generated-content/documentation/ml/preprocess-data/index.html
index 1304e7547a0..92030a8bd68 100644
--- a/website/generated-content/documentation/ml/preprocess-data/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
workflows. Apache Beam provides a set of data processing transforms for
preprocessing data for training and inference. The <code>MLTransform</code> class wraps the
various transforms in one class, simplifying your workflow. For a full list of
diff --git a/website/generated-content/documentation/ml/runinference-metrics/index.html b/website/generated-content/documentation/ml/runinference-metrics/index.html
index e638737cc3c..c872b733d29 100644
--- a/website/generated-content/documentation/ml/runinference-metrics/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
├── pipeline/
│ ├── __init__.py
│ ├── options.py
diff --git a/website/generated-content/documentation/ml/side-input-updates/index.html b/website/generated-content/documentation/ml/side-input-updates/index.html
index e7d5059a368..6fe754ebbba 100644
--- a/website/generated-content/documentation/ml/side-input-updates/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
or by configuring a custom side input <code>PCollection</code> that defines the logic for the model update.</p><p>For more information about side inputs, see the <a href=https://beam.apache.org/documentation/programming-guide/#side-inputs>Side inputs</a> section in the Apache Beam Programming Guide.</p><p>This example uses <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.utils.html#apache_beam.ml.inference.utils.WatchFilePattern><code>WatchFilePattern</code [...]
based on timestamps. It emits the latest <a href=https://beam.apache.org/documentation/transforms/python/elementwise/runinference/><code>ModelMetadata</code></a>, which is used in
the RunInference <code>PTransform</code> to automatically update the ML model without stopping the Beam pipeline.</p><h2 id=set-up-the-source>Set up the source</h2><p>To read the image names, use a Pub/Sub topic as the source. The Pub/Sub topic emits a <code>UTF-8</code> encoded model path that is used to read and preprocess images to run the inference.</p><h2 id=models-for-image-segmentation>Models for image segmentation</h2><p>For the purpose of this example, use TensorFlow models save [...]
diff --git a/website/generated-content/documentation/ml/tensorrt-runinference/index.html b/website/generated-content/documentation/ml/tensorrt-runinference/index.html
index 2eb01b9f5e4..2edb714846a 100644
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+++ b/website/generated-content/documentation/ml/tensorrt-runinference/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
import transformers
from transformers.onnx import FeaturesManager
from transformers import AutoConfig, AutoTokenizer, AutoModelForMaskedLM, AutoModelForSequenceClassification
diff --git a/website/generated-content/documentation/patterns/ai-platform/index.html b/website/generated-content/documentation/patterns/ai-platform/index.html
index d1c47f0056d..9c1d0719479 100644
--- a/website/generated-content/documentation/patterns/ai-platform/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
<code>AnnotateText</code> produces response object of type <code>AnnotateTextResponse</code> returned from the API. <code>AnnotateTextResponse</code> is a protobuf message which contains a lot of attributes, some of which are complex structures.</p><p>Here is an example of a pipeline that creates in-memory PCollection of strings, changes each string to Document object and invokes Natural Language API. Then, for each response object, a function is called to extract certain results of anal [...]
</span></span><span class=line><span class=cl> <span class=n>extract_entities</span><span class=o>=</span><span class=kc>True</span><span class=p>,</span>
</span></span><span class=line><span class=cl> <span class=n>extract_document_sentiment</span><span class=o>=</span><span class=kc>True</span><span class=p>,</span>
diff --git a/website/generated-content/documentation/patterns/bigqueryio/index.html b/website/generated-content/documentation/patterns/bigqueryio/index.html
index 7e4243d3234..dcd17859ddb 100644
--- a/website/generated-content/documentation/patterns/bigqueryio/index.html
+++ b/website/generated-content/documentation/patterns/bigqueryio/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
The samples below print the errors, but in a production system they can be sent to a deadletter table for later correction.</p><p class=language-java>When using <code>STREAMING_INSERTS</code> you can use the <code>WriteResult</code> object to access a <code>PCollection</code> with the <code>TableRows</code> that failed to be inserted into BigQuery.
If you also set the <code>withExtendedErrorInfo</code> property , you will be able to access a <code>PCollection<BigQueryInsertError></code> from the <code>WriteResult</code>. The <code>PCollection</code> will then include a reference to the table, the data row and the <code>InsertErrors</code>. Which errors are added to the deadletter queue is determined via the <code>InsertRetryPolicy</code>.</p><p class=language-py>In the result tuple you can access <code>FailedRows</code> to acces [...]
</span></span><span class=line><span class=cl> <span class=n>PipelineOptionsFactory</span><span class=o>.</span><span class=na>fromArgs</span><span class=o>(</span><span class=n>args</span><span class=o>).</span><span class=na>withValidation</span><span class=o>().</span><span class=na>as</span><span class=o>(</span><span class=n>BigQueryOptions</span><span class=o>.</span><span class=na>class</span><span class=o>);</span>
diff --git a/website/generated-content/documentation/patterns/bqml/index.html b/website/generated-content/documentation/patterns/bqml/index.html
index e8e21d266b8..2015a3d695e 100644
--- a/website/generated-content/documentation/patterns/bqml/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
OPTIONS(model_type='logistic_reg', input_label_cols=["label"]) AS
SELECT
IF(totals.transactions IS NULL, 0, 1) AS label,
diff --git a/website/generated-content/documentation/patterns/custom-io/index.html b/website/generated-content/documentation/patterns/custom-io/index.html
index 2db66c857c6..af96792fb4c 100644
--- a/website/generated-content/documentation/patterns/custom-io/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/patterns/custom-windows/index.html b/website/generated-content/documentation/patterns/custom-windows/index.html
index 3c148e2ac16..4b5d0c8bdf5 100644
--- a/website/generated-content/documentation/patterns/custom-windows/index.html
+++ b/website/generated-content/documentation/patterns/custom-windows/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl> <span class=c1>// Assign each element into a window from its timestamp until gapDuration in the
</span></span></span><span class=line><span class=cl><span class=c1></span> <span class=c1>// future. Overlapping windows (representing elements within gapDuration of
diff --git a/website/generated-content/documentation/patterns/file-processing/index.html b/website/generated-content/documentation/patterns/file-processing/index.html
index 2c6b02abe99..399501b9d2a 100644
--- a/website/generated-content/documentation/patterns/file-processing/index.html
+++ b/website/generated-content/documentation/patterns/file-processing/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span>
</span></span><span class=line><span class=cl> <span class=n>FileIO</span><span class=o>.</span><span class=na>match</span><span class=o>()</span>
</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>filepattern</span><span class=o>(</span><span class=s>"..."</span><span class=o>)</span>
diff --git a/website/generated-content/documentation/patterns/grouping-elements-for-efficient-external-service-calls/index.html b/website/generated-content/documentation/patterns/grouping-elements-for-efficient-external-service-calls/index.html
index e7b92eb8dfd..b9cd1d991b8 100644
--- a/website/generated-content/documentation/patterns/grouping-elements-for-efficient-external-service-calls/index.html
+++ b/website/generated-content/documentation/patterns/grouping-elements-for-efficient-external-service-calls/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=s>"Batch Contents"</span><span class=o>,</span>
</span></span><span class=line><span class=cl> <span class=n>GroupIntoBatches</span><span class=o>.<</span><span class=n>String</span><span class=o>,</span> <span class=n>GenericJson</span><span class=o>></span><span class=n>ofSize</span><span class=o>(</span><span class=n>batchSize</span><span class=o>)</span>
</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>withMaxBufferingDuration</span><span class=o>(</span><span class=n>maxBufferingDuration</span><span class=o>)</span>
diff --git a/website/generated-content/documentation/patterns/overview/index.html b/website/generated-content/documentation/patterns/overview/index.html
index 72f79302892..a9d1fe4fe54 100644
--- a/website/generated-content/documentation/patterns/overview/index.html
+++ b/website/generated-content/documentation/patterns/overview/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/patterns/pipeline-options/index.html b/website/generated-content/documentation/patterns/pipeline-options/index.html
index 0d8cae70a5e..c27287ddc34 100644
--- a/website/generated-content/documentation/patterns/pipeline-options/index.html
+++ b/website/generated-content/documentation/patterns/pipeline-options/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kd>interface</span> <span class=nc>MyOptions</span> <span class=kd>extends</span> <span class=n>PipelineOptions</span> <span class=o>{</span>
</span></span><span class=line><span class=cl> <span class=nd>@Description</span><span class=o>(</span><span class=s>"My option"</span><span class=o>)</span>
</span></span><span class=line><span class=cl> <span class=nd>@Default.String</span><span class=o>(</span><span class=s>"Hello world!"</span><span class=o>)</span>
diff --git a/website/generated-content/documentation/patterns/schema/index.html b/website/generated-content/documentation/patterns/schema/index.html
index 392d4934415..27650b50a09 100644
--- a/website/generated-content/documentation/patterns/schema/index.html
+++ b/website/generated-content/documentation/patterns/schema/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
Schemas provide us a type-system for Beam records that is independent of any specific programming-language type. There might be multiple Java classes that all have the same schema (for example a Protocol-Buffer class or a POJO class), and Beam will allow us to seamlessly convert between these types.
Schemas also provide a simple way to reason about types across different programming-language APIs.
For more information, see the <a href=/documentation/programming-guide/#what-is-a-schema>programming guide section on Schemas</a>.</p><nav class=language-switcher><strong>Adapt for:</strong><ul><li data-value=java class=active>Java SDK</li></ul></nav><h2 id=using-joins>Using Joins</h2><p>Beam supports equijoins on schema <code>PCollections</code> of Schemas where the join condition depends on the equality of a subset of fields.</p><p>Consider using <a href=https://beam.apache.org/release [...]
diff --git a/website/generated-content/documentation/patterns/side-inputs/index.html b/website/generated-content/documentation/patterns/side-inputs/index.html
index 77dc874cecf..9ec14b5b45e 100644
--- a/website/generated-content/documentation/patterns/side-inputs/index.html
+++ b/website/generated-content/documentation/patterns/side-inputs/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=c1>// This pipeline uses View.asSingleton for a placeholder external service.
</span></span></span><span class=line><span class=cl><span class=c1></span> <span class=c1>// Run in debug mode to see the output.
</span></span></span><span class=line><span class=cl><span class=c1></span> <span class=n>Pipeline</span> <span class=n>p</span> <span class=o>=</span> <span class=n>Pipeline</span><span class=o>.</span><span class=na>create</span><span class=o>();</span>
diff --git a/website/generated-content/documentation/pipelines/create-your-pipeline/index.html b/website/generated-content/documentation/pipelines/create-your-pipeline/index.html
index bced079650b..cf5aa7225e1 100644
--- a/website/generated-content/documentation/pipelines/create-your-pipeline/index.html
+++ b/website/generated-content/documentation/pipelines/create-your-pipeline/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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(" [...]
+<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(" [...]
</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PipelineOptions</span> <span class=n>options</span> <span class=o>=</span> <span class=n>PipelineOptionsFactory</span><span class=o>.</span><span class=na>create</span><span class=o>();</span>
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=c1>// Then create the pipeline.
diff --git a/website/generated-content/documentation/pipelines/design-your-pipeline/index.html b/website/generated-content/documentation/pipelines/design-your-pipeline/index.html
index f64feaebbff..64416ffcc62 100644
--- a/website/generated-content/documentation/pipelines/design-your-pipeline/index.html
+++ b/website/generated-content/documentation/pipelines/design-your-pipeline/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
PCollection of database table rows.</em></p><p>The following example code applies two transforms to a single input collection.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=n>PCollection</sp [...]
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>String</span><span class=o>></span> <span class=n>aCollection</span> <span class=o>=</span> <span class=n>dbRowCollection</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"aTrans"</span><span class=o>,</span> <span class=n>ParDo</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><span class=k>new</ [...]
diff --git a/website/generated-content/documentation/pipelines/test-your-pipeline/index.html b/website/generated-content/documentation/pipelines/test-your-pipeline/index.html
index ec5fdd9e7cf..4c6bbcaf757 100644
--- a/website/generated-content/documentation/pipelines/test-your-pipeline/index.html
+++ b/website/generated-content/documentation/pipelines/test-your-pipeline/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=o>...</span></span></span></code></pre></div></div></div><blockquote><p><strong>Note:</strong> Read about testing unbounded pipelines in Beam in <a href=/blog/2016/10/20/test-stream.html>this blog post</a>.</p></blockquote><h3 id=using-the-create-transform>Using the Create Transform</h3><p>You can use the <code>Create</code> transform to create a <code>PCollection</code> out of a standard in-memory collection class, such as Ja [...]
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=c1>// Check whether a PCollection contains some elements in any order.
diff --git a/website/generated-content/documentation/programming-guide/index.html b/website/generated-content/documentation/programming-guide/index.html
index 2ba5590b0bc..1395d6790e6 100644
--- a/website/generated-content/documentation/programming-guide/index.html
+++ b/website/generated-content/documentation/programming-guide/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
Beam SDKs to create data processing pipelines. It provides guidance for using
the Beam SDK classes to build and test your pipeline. The programming guide is
not intended as an exhaustive reference, but as a language-agnostic, high-level
diff --git a/website/generated-content/documentation/runners/jstorm/index.html b/website/generated-content/documentation/runners/jstorm/index.html
index b3efd1031c8..172dec270e6 100644
--- a/website/generated-content/documentation/runners/jstorm/index.html
+++ b/website/generated-content/documentation/runners/jstorm/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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>
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-<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>groupId</span><span class=o>></span><span class=n>org</span><span class=o>.</span><span class=na>apache</span><span class=o>.</span><span class=na>beam</span><span class=o></</span><span class=n>groupId</span><span class=o>></span>
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>artifactId</span><span class=o>></span><span class=n>beam</span><span class=o>-</span><span class=n>runners</span><span class=o>-</span><span class=n>jstorm</span><span class=o></</span><span class=n>artifactId</span><span class=o>></span>
</span></span><span class=line><span class=cl> <span class=o><</span><span class=n>version</span><span class=o>></span><span class=n>2</span><span class=o>.</span><span class=na>55</span><span class=o>.</span><span class=na>0</span><span class=o></</span><span class=n>version</span><span class=o>></span>
diff --git a/website/generated-content/documentation/runtime/environments/index.html b/website/generated-content/documentation/runtime/environments/index.html
index 70b54ebcebd..3e57760b5e7 100644
--- a/website/generated-content/documentation/runtime/environments/index.html
+++ b/website/generated-content/documentation/runtime/environments/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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>
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-<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(" [...]
+<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(" [...]
ENV FOO=bar
COPY /src/path/to/file /dest/path/to/file/
diff --git a/website/generated-content/documentation/runtime/model/index.html b/website/generated-content/documentation/runtime/model/index.html
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--- a/website/generated-content/documentation/runtime/model/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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(" [...]
may observe various effects as a result of the runner’s choices. This page
describes these effects so you can better understand how Beam pipelines execute.</p><h2 id=processing-of-elements>Processing of elements</h2><p>The serialization and communication of elements between machines is one of the
most expensive operations in a distributed execution of your pipeline. Avoiding
diff --git a/website/generated-content/documentation/runtime/resource-hints/index.html b/website/generated-content/documentation/runtime/resource-hints/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
</span></span><span class=line><span class=cl> <span class=o>-</span><span class=n>Dexec</span><span class=o>.</span><span class=na>args</span><span class=o>=</span><span class=s>"... \
</span></span></span><span class=line><span class=cl><span class=s> --resourceHints=min_ram=<N>GB \
</span></span></span><span class=line><span class=cl><span class=s> --resourceHints=accelerator='hint'"</span> <span class=err>\</span>
diff --git a/website/generated-content/documentation/runtime/sdk-harness-config/index.html b/website/generated-content/documentation/runtime/sdk-harness-config/index.html
index 9a254b77ebc..f14546057ed 100644
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
accommodate varying cluster setups.
(The options below are for Python, but much of this information should apply to the Java and Go SDKs
as well.)</p><ul><li><code>environment_type</code> determines where user code will be executed.
diff --git a/website/generated-content/documentation/transforms/java/aggregation/approximatequantiles/index.html b/website/generated-content/documentation/transforms/java/aggregation/approximatequantiles/index.html
index f399e8f02c1..803b5cfd4c7 100644
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+++ b/website/generated-content/documentation/transforms/java/aggregation/approximatequantiles/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<script src=/js/sliders/top-banners.min.afa7d0a19acf7a3b28ca369490b3d401a619562a2a4c9612577be2f66a4b9855.js></script>
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+<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(" [...]
Javadoc</a></table><br><br><p>Takes a comparison function and the desired number of quantiles <em>n</em>, either
globally or per-key. Using an approximation algorithm, it returns the
minimum value, <em>n-2</em> intermediate values, and the maximum value.</p><h2 id=examples>Examples</h2><p><strong>Example</strong>: to compute the quartiles of a <code>PCollection</code> of integers, we
diff --git a/website/generated-content/documentation/transforms/java/aggregation/approximateunique/index.html b/website/generated-content/documentation/transforms/java/aggregation/approximateunique/index.html
index daf24520f23..27d9661d4f4 100644
--- a/website/generated-content/documentation/transforms/java/aggregation/approximateunique/index.html
+++ b/website/generated-content/documentation/transforms/java/aggregation/approximateunique/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Javadoc</a></table><br><br><p>Transforms for estimating the number of distinct elements in a collection
or the number of distinct values associated with each key in a collection
of key-value pairs.</p><h2 id=examples>Examples</h2><p>See <a href=https://issues.apache.org/jira/browse/BEAM-7703>BEAM-7703</a> for updates.</p><h2 id=related-transforms>Related transforms</h2><ul><li><a href=/documentation/transforms/java/aggregation/hllcount>HllCount</a>
diff --git a/website/generated-content/documentation/transforms/java/aggregation/cogroupbykey/index.html b/website/generated-content/documentation/transforms/java/aggregation/cogroupbykey/index.html
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Javadoc</a></table><br><br><p>Aggregates all input elements by their key and allows downstream processing
to consume all values associated with the key. While <code>GroupByKey</code> performs
this operation over a single input collection and thus a single type of
diff --git a/website/generated-content/documentation/transforms/java/aggregation/combine/index.html b/website/generated-content/documentation/transforms/java/aggregation/combine/index.html
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Javadoc</a></table><br><br><p>A user-defined <code>CombineFn</code> may be applied to combine all elements in a
<code>PCollection</code> (global combine) or to combine all elements associated
with each key.</p><p>While the result is similar to applying a <code>GroupByKey</code> followed by
diff --git a/website/generated-content/documentation/transforms/java/aggregation/combinewithcontext/index.html b/website/generated-content/documentation/transforms/java/aggregation/combinewithcontext/index.html
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Javadoc</a></table><br><br><p>A class of transforms that contains combine functions that have access to <code>PipelineOptions</code> and side inputs through <code>CombineWithContext.Context</code>.</p><h2 id=examples>Examples</h2><p>See <a href=https://issues.apache.org/jira/browse/BEAM-7703>BEAM-7703</a> for updates.</p><h2 id=related-transforms>Related transforms</h2><ul><li><a href=/documentation/transforms/java/aggregation/combine>Combine</a>
for combining all values associated with a key to a single result</li></ul><div class=feedback><p class=update>Last updated on 2024/03/26</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 href=https://www.apache.org>The Apache Software Foundation</a>
diff --git a/website/generated-content/documentation/transforms/java/aggregation/count/index.html b/website/generated-content/documentation/transforms/java/aggregation/count/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Javadoc</a></table><br><br><p>Counts the number of elements within each aggregation. The <code>Count</code>
transform has three varieties:</p><ul><li><code>Count.globally()</code> counts the number of elements in the entire
<code>PCollection</code>. The result is a collection with a single element.</li><li><code>Count.perKey()</code> counts how many elements are associated with each
diff --git a/website/generated-content/documentation/transforms/java/aggregation/distinct/index.html b/website/generated-content/documentation/transforms/java/aggregation/distinct/index.html
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Javadoc</a></table><br><br><p>Produces a collection containing distinct elements of the input collection.</p><p>On some data sets, it might be more efficient to compute an approximate
answer using <code>ApproximateUnique</code>, which also allows for determining distinct
values for each key.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: Find the distinct element from a <code>PCollection</code> of <code>String</code>.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/groupbykey/index.html b/website/generated-content/documentation/transforms/java/aggregation/groupbykey/index.html
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+<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(" [...]
Javadoc</a></table><br><br><p>Takes a keyed collection of elements and produces a collection where
each element consists of a key and an <code>Iterable</code> of all values
associated with that key.</p><p>The results can be combined with windowing to subdivide each key
diff --git a/website/generated-content/documentation/transforms/java/aggregation/groupintobatches/index.html b/website/generated-content/documentation/transforms/java/aggregation/groupintobatches/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Javadoc</a></table><br><br><p>Batches inputs to a desired batch size.</p><p>Batches contain only elements of a single key. Elements are buffered until
<code>batchSize</code> number of elements buffered. Then, these elements are output
to the output collection.</p><p>Batches contain elements from the same window, so windows are preserved. Batches might contain elements from more than one bundle.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_GroupIntoBatches data-show=main_section></div></div><div class="code-snippet code-snippet-playground" data-src="https://play.beam.apache.org/embedded?editabl [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/hllcount/index.html b/website/generated-content/documentation/transforms/java/aggregation/hllcount/index.html
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Javadoc</a></table><br><br><p>Estimates the number of distinct elements in a data stream using the
<a href=https://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/40671.pdf>HyperLogLog++ algorithm</a>.
The respective transforms to create and merge sketches, and to extract from them, are:</p><ul><li><code>HllCount.Init</code> aggregates inputs into HLL++ sketches.</li><li><code>HllCount.MergePartial</code> merges HLL++ sketches into a new sketch.</li><li><code>HllCount.Extract</code> extracts the estimated count of distinct elements from HLL++ sketches.</li></ul><p>You can read more about what a sketch is at <a href=https://github.com/google/zetasketch>https://github.com/google/zetasket [...]
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Javadoc</a></table><br><br><p>A transform and <code>Combine.CombineFn</code> for computing the latest element in a collection.</p><ul><li><code>Latest.globally()</code> takes a collection of values and produces the collection
containing the single value with the latest implicit timestamp.</li><li><code>Latest.perKey()</code> takes a collection of key value pairs, and returns the
latest value for each key, according to the implicit timestamp.</li></ul><p>For elements with the same timestamp, the output element is arbitrarily selected.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: Compute the latest value for each session</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highl [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/max/index.html b/website/generated-content/documentation/transforms/java/aggregation/max/index.html
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@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>Provides a variety of different transforms for computing the maximum
values in a collection, either globally or for each key.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: get the maximum of a <code>PCollection</code> of <code>Doubles</code>.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=ja [...]
</span></span><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>Double</span><span class=o>></span> <span class=n>max</span> <span class=o>=</span> <span class=n>input</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=n>Max</span><span class=o>.</span><span class=na>doublesGlobally</span><span class=o>());</span></span></span></code></pre></div></div></div><p><strong>Example 2</strong>: calcula [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/mean/index.html b/website/generated-content/documentation/transforms/java/aggregation/mean/index.html
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Javadoc</a></table><br><br><p>Transforms for computing the arithmetic mean of the elements in a collection,
or the mean of the values associated with each key in a collection of key-value pairs.</p><ul><li><code>Mean.globally()</code> returns a transform that then returns a collection whose contents is the mean of the input collection’s elements. If there are no elements in the input collection, it returns 0.</li><li><code>Mean.perKey()</code> returns a transform that returns a collection that contains an output element mapping each distinct key in the input collection to the mean of the [...]
for computing maximum values in a collection</li><li><a href=/documentation/transforms/java/aggregation/min>Min</a>
diff --git a/website/generated-content/documentation/transforms/java/aggregation/min/index.html b/website/generated-content/documentation/transforms/java/aggregation/min/index.html
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@@ -35,7 +35,7 @@
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+<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(" [...]
Javadoc</a></table><br><br><p>Provides a variety of different transforms for computing the minimum
values in a collection, either globally or for each key.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: get the minimum of a <code>PCollection</code> of <code>Doubles</code>.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Min data-show=main_section></div></div><div class="code-snippet code-snippet-playground" data-src="https://play.beam.apache.org/embedded?editable=1&examples=% [...]
with each unique key (which is of type <code>String</code>).</p><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_MinPerKey data-show=main_section></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_JAVA_MinPerKey%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d" data-width=100% [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/sample/index.html b/website/generated-content/documentation/transforms/java/aggregation/sample/index.html
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+<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(" [...]
Javadoc</a></table><br><br><p>Transforms for taking samples of the elements in a collection, or
samples of the values associated with each key in a collection of key-value pairs.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Sample data-show=main_section></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_JAVA_Sample%22%2c%22sdk%22%3a%22java%22%2c%22show%2 [...]
finds the largest (or smallest) set of elements in a collection</li><li><a href=/documentation/transforms/java/aggregation/latest>Latest</a>
diff --git a/website/generated-content/documentation/transforms/java/aggregation/sum/index.html b/website/generated-content/documentation/transforms/java/aggregation/sum/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Transforms for computing the sum of the elements in a collection, or the sum of the
values associated with each key in a collection of key-value pairs.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: get the sum of a <code>PCollection</code> of <code>Doubles</code>.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Sum data-show=main_section></div></div><div class="code-snippet code-snippet-playground" data-src="https://play.beam.apache.org/embedded?editable=1&exa [...]
counts the number of elements within each aggregation</li></ul><div class=feedback><p class=update>Last updated on 2024/03/26</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> [...]
diff --git a/website/generated-content/documentation/transforms/java/aggregation/top/index.html b/website/generated-content/documentation/transforms/java/aggregation/top/index.html
index d9c5f612c72..55c4282d0af 100644
--- a/website/generated-content/documentation/transforms/java/aggregation/top/index.html
+++ b/website/generated-content/documentation/transforms/java/aggregation/top/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Transforms for finding the largest (or smallest) set of elements in
a collection, or the largest (or smallest) set of values associated
with each key in a collection of key-value pairs.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Top data-show=main_section></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_JAVA_Top%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d" data-widt [...]
diff --git a/website/generated-content/documentation/transforms/java/elementwise/filter/index.html b/website/generated-content/documentation/transforms/java/elementwise/filter/index.html
index bf396475796..27a9a498d18 100644
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
Javadoc</a></table><br><br><p>Given a predicate, filter out all elements that don’t satisfy that predicate.
May also be used to filter based on an inequality with a given value based
on the natural ordering of the element.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: Filtering with a predicate</p><p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=n>PCollecti [...]
diff --git a/website/generated-content/documentation/transforms/java/elementwise/flatmapelements/index.html b/website/generated-content/documentation/transforms/java/elementwise/flatmapelements/index.html
index ad4d2fd670a..9d5a2138fce 100644
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@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>Applies a simple 1-to-many mapping function over each element in the
collection. The many elements are flattened into the resulting collection.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_FlatMapElements data-show=main_section></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_JAVA_FlatMapElements%22%2c%22sdk%22%3a%22java%22%2 [...]
deciding whether to output an element or not.</li><li><a href=/documentation/transforms/java/elementwise/pardo>ParDo</a> is the most general element-wise mapping
diff --git a/website/generated-content/documentation/transforms/java/elementwise/keys/index.html b/website/generated-content/documentation/transforms/java/elementwise/keys/index.html
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Javadoc</a></table><br><br><p>Takes a collection of key-value pairs, and returns the key of each element.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Keys data-show=main_section></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_JAVA_Keys%22%2c%22sdk%22%3a%22 [...]
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diff --git a/website/generated-content/documentation/transforms/java/elementwise/kvswap/index.html b/website/generated-content/documentation/transforms/java/elementwise/kvswap/index.html
index 666f95cf58a..cd5b63f70da 100644
--- a/website/generated-content/documentation/transforms/java/elementwise/kvswap/index.html
+++ b/website/generated-content/documentation/transforms/java/elementwise/kvswap/index.html
@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>Takes a collection of key-value pairs and returns a collection of key-value pairs which has each key and value swapped.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_KvSwap data-show=main_section></div></div><div class="code-snippet code-snippet-playground" data-src="https://play.beam.apache.org/embedded?editable=1&examples=%5b%7b%22p [...]
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diff --git a/website/generated-content/documentation/transforms/java/elementwise/mapelements/index.html b/website/generated-content/documentation/transforms/java/elementwise/mapelements/index.html
index df003cf0a62..d615b74edde 100644
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Javadoc</a></table><br><br><p>Applies a simple 1-to-1 mapping function over each element in the collection.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: providing the mapping function using a <code>SimpleFunction</code></p><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_MapElements data-show=main_section></div></div><div class="code-snippet code-snippet-playground" data-src="http [...]
which allows the use of Java 8 lambdas. Due to type erasure, you need
to provide a hint indicating the desired return type.</p><div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>String</span><span class=o>> [...]
diff --git a/website/generated-content/documentation/transforms/java/elementwise/pardo/index.html b/website/generated-content/documentation/transforms/java/elementwise/pardo/index.html
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@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>A transform for generic parallel processing. A <code>ParDo</code> transform considers each
element in the input <code>PCollection</code>, performs some processing function
(your user code) on that element, and emits zero or more elements to
diff --git a/website/generated-content/documentation/transforms/java/elementwise/partition/index.html b/website/generated-content/documentation/transforms/java/elementwise/partition/index.html
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+<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(" [...]
Javadoc</a></table><br><br><p>Separates elements in a collection into multiple output collections. The partitioning function contains the logic that determines how to separate the elements of the input collection into each resulting partition output collection.</p><p>The number of partitions must be determined at graph construction time. You cannot determine the number of partitions in mid-pipeline.</p><p>See more information in the <a href=/documentation/programming-guide/#partition>Bea [...]
deciding whether to output an element or not.</li><li><a href=/documentation/transforms/java/elementwise/pardo>ParDo</a> is the most general element-wise mapping
operation, and includes other abilities such as multiple output collections and side-inputs.</li><li><a href=/documentation/transforms/java/aggregation/cogroupbykey>CoGroupByKey</a>
diff --git a/website/generated-content/documentation/transforms/java/elementwise/regex/index.html b/website/generated-content/documentation/transforms/java/elementwise/regex/index.html
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@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>Provides a variety of functionality based on regular expressions.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Regex data-show=main_section></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_JAVA_Regex%22%2c%22sdk%22%3a%22java%22% [...]
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diff --git a/website/generated-content/documentation/transforms/java/elementwise/reify/index.html b/website/generated-content/documentation/transforms/java/elementwise/reify/index.html
index 2b114fcb095..9ee82e9be80 100644
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@@ -35,7 +35,7 @@
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Javadoc</a></table><br><br><p>Transforms for converting between explicit and implicit form of various Beam values.</p><h2 id=examples>Examples</h2><p>See <a href=https://issues.apache.org/jira/browse/BEAM-7702>BEAM-7702</a> for updates.</p><h2 id=related-transforms>Related transforms</h2><ul><li><a href=/documentation/transforms/java/elementwise/withtimestamps>WithTimestamps</a>
assigns timestamps to all the elements of a collection</li><li><a href=/documentation/transforms/java/other/window/>Window</a> divides up or
groups the elements of a collection into finite windows</li></ul><div class=feedback><p class=update>Last updated on 2024/03/26</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></butto [...]
diff --git a/website/generated-content/documentation/transforms/java/elementwise/tostring/index.html b/website/generated-content/documentation/transforms/java/elementwise/tostring/index.html
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Javadoc</a></table><br><br><p>A variety of utility transforms for invoking the <code>toString()</code> method
on every element in the input collection.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_ToString data-show=main_section></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_JAVA_ToString%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d" data-wi [...]
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diff --git a/website/generated-content/documentation/transforms/java/elementwise/values/index.html b/website/generated-content/documentation/transforms/java/elementwise/values/index.html
index 25bf0e95340..a244821eb7e 100644
--- a/website/generated-content/documentation/transforms/java/elementwise/values/index.html
+++ b/website/generated-content/documentation/transforms/java/elementwise/values/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>The <code>Values</code> transform takes a collection of key-value pairs, and
returns the value of each element.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Values data-show=main_section></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_JAVA_Values%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d" data-width=100% da [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
diff --git a/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html b/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html
index d4dc90480d9..6ce4e3fb61e 100644
--- a/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html
+++ b/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Takes a <code>PCollection<V></code> and produces a <code>PCollection<KV<K, V>></code> by associating
each input element with a key.</p><p>There are two versions of <code>WithKeys</code>, depending on how the key should be determined:</p><ul><li><code>WithKeys.of(SerializableFunction<V, K> fn)</code> takes a function to
compute the key from each value.</li><li><code>WithKeys.of(K key)</code> associates each value with the specified key.</li></ul><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=PG_BEAMDOC_SDK_JAVA_WithKeys data-show=main_section></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%22 [...]
diff --git a/website/generated-content/documentation/transforms/java/elementwise/withtimestamps/index.html b/website/generated-content/documentation/transforms/java/elementwise/withtimestamps/index.html
index f3cad76b699..be4c873a578 100644
--- a/website/generated-content/documentation/transforms/java/elementwise/withtimestamps/index.html
+++ b/website/generated-content/documentation/transforms/java/elementwise/withtimestamps/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Javadoc</a></table><br><br><p>Assigns timestamps to all the elements of a collection.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Latest data-show=main_section></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_JAVA_Latest%22%2c%22sdk%22%3a%22java%22%2c%22sho [...]
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diff --git a/website/generated-content/documentation/transforms/java/other/create/index.html b/website/generated-content/documentation/transforms/java/other/create/index.html
index 10510d0a1a4..adfcdc2c323 100644
--- a/website/generated-content/documentation/transforms/java/other/create/index.html
+++ b/website/generated-content/documentation/transforms/java/other/create/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Creates a collection containing a specified set of elements. This is useful
for testing, as well as creating an initial input to process in parallel.
For example, a single element to execute a one-time <code>ParDo</code> or a list of filenames to be read.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Create data-show=main_section></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_JAVA_Create%22%2c%22sdk%22%3 [...]
diff --git a/website/generated-content/documentation/transforms/java/other/flatten/index.html b/website/generated-content/documentation/transforms/java/other/flatten/index.html
index a925d5d3dc4..43742871597 100644
--- a/website/generated-content/documentation/transforms/java/other/flatten/index.html
+++ b/website/generated-content/documentation/transforms/java/other/flatten/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Merges multiple <code>PCollection</code> objects into a single logical <code>PCollection</code>.</p><p>By default, the coder for the output <code>PCollection</code> is the same as the coder
for the first <code>PCollection</code> in the input <code>PCollectionList</code>. However, the
input <code>PCollection</code> objects can each use different coders, as long as
diff --git a/website/generated-content/documentation/transforms/java/other/passert/index.html b/website/generated-content/documentation/transforms/java/other/passert/index.html
index eddf474915c..b406876071e 100644
--- a/website/generated-content/documentation/transforms/java/other/passert/index.html
+++ b/website/generated-content/documentation/transforms/java/other/passert/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p><code>PAssert</code> is a class included in the Beam Java SDK that is an
assertion on the contents of a <code>PCollection</code>. You can use <code>PAssert</code> to verify
that a <code>PCollection</code> contains a specific set of expected elements.</p><h2 id=examples>Examples</h2><p>For a given <code>PCollection</code>, you can use <code>PAssert</code> to verify the contents as follows:<div class='language-java snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=la [...]
diff --git a/website/generated-content/documentation/transforms/java/other/view/index.html b/website/generated-content/documentation/transforms/java/other/view/index.html
index fd4719ebf70..80abe02a7c4 100644
--- a/website/generated-content/documentation/transforms/java/other/view/index.html
+++ b/website/generated-content/documentation/transforms/java/other/view/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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(" [...]
Javadoc</a></table><br><br><p>Operations for turning a collection into view that may be used as a side-input to a <code>ParDo</code>.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_View data-show=main_section></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_JA [...]
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diff --git a/website/generated-content/documentation/transforms/java/other/window/index.html b/website/generated-content/documentation/transforms/java/other/window/index.html
index 6160f5d6c6e..fffd428523e 100644
--- a/website/generated-content/documentation/transforms/java/other/window/index.html
+++ b/website/generated-content/documentation/transforms/java/other/window/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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(" [...]
Javadoc</a></table><br><br><p>Logically divides up or groups the elements of a collection into finite
windows according to a function.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-java playground-snippet" data-sdk=java data-path=SDK_JAVA_Window data-show=main_section></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_JAVA_Window%22%2c%22sdk%22%3a%22java%22%2c%22show%22%3a%22main_section%22%7d%5d" data-width=100% data [...]
converts between explicit and implicit form of various Beam values.</li><li><a href=/documentation/transforms/java/elementwise/withtimestamps>WithTimestamps</a>
diff --git a/website/generated-content/documentation/transforms/java/overview/index.html b/website/generated-content/documentation/transforms/java/overview/index.html
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outputs all resulting elements.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/keys>Keys</a></td><td>Extracts the key from each element in a collection of key-value pairs.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/kvswap>KvSwap</a></td><td>Swaps the key and value of each element in a collection of key-value pairs.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/mapelements>MapElements</a></td><td>Applies a function to eve [...]
in the input collection.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/partition>Partition</a></td><td>Routes each input element to a specific output collection based on some partition
function.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/regex>Regex</a></td><td>Filters input string elements based on a regex. May also transform them based on the matching groups.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/reify>Reify</a></td><td>Transforms for converting between explicit and implicit form of various Beam values.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/tostring>ToString</a></td><td>Transforms ev [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/approximatequantiles/index.html b/website/generated-content/documentation/transforms/python/aggregation/approximatequantiles/index.html
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<a href=https://www.apache.org>The Apache Software Foundation</a>
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<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/transforms/python/aggregation/cogroupbykey/index.html b/website/generated-content/documentation/transforms/python/aggregation/cogroupbykey/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Aggregates all input elements by their key and allows downstream processing
to consume all values associated with the key. While <code>GroupByKey</code> performs
this operation over a single input collection and thus a single type of input
diff --git a/website/generated-content/documentation/transforms/python/aggregation/combineglobally/index.html b/website/generated-content/documentation/transforms/python/aggregation/combineglobally/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></td></table><p><br><br><br></p><p>Combines all elements in a collection.</p><p>See more information in the <a href=/documentation/programming-guide/#combine>Beam Programming Guide</a>.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce.
Then, we apply <code>CombineGlobally</code> in multiple ways to combine all the elements in the <code>PCollection</code>.</p><p><code>CombineGlobally</code> accepts a function that takes an <code>iterable</code> of elements as an input, and combines them to return a single element.</p><h3 id=example-1-combining-with-a-function>Example 1: Combining with a function</h3><p>We define a function <code>get_common_items</code> which takes an <code>iterable</code> of sets as an input, and calcul [...]
They are passed as additional positional arguments or keyword arguments to the function.</p><p>In this example, the lambda function takes <code>sets</code> and <code>exclude</code> as arguments.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_CombineGloballyMultipleArguments data-show=combineglobally_multiple_arguments></div></div><div class="code-snippet code-snippet-playground" data-src="ht [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/combineperkey/index.html b/website/generated-content/documentation/transforms/python/aggregation/combineperkey/index.html
index b63ad97133e..98e7f3aa0b0 100644
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></td></table><p><br><br><br></p><p>Combines all elements for each key in a collection.</p><p>See more information in the <a href=/documentation/programming-guide/#combine>Beam Programming Guide</a>.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce.
Then, we apply <code>CombinePerKey</code> in multiple ways to combine all the elements in the <code>PCollection</code>.</p><p><code>CombinePerKey</code> accepts a function that takes a list of values as an input, and combines them for each key.</p><h3 id=example-1-combining-with-a-predefined-function>Example 1: Combining with a predefined function</h3><p>We use the function
<a href=https://docs.python.org/3/library/functions.html#sum><code>sum</code></a>
diff --git a/website/generated-content/documentation/transforms/python/aggregation/combinevalues/index.html b/website/generated-content/documentation/transforms/python/aggregation/combinevalues/index.html
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Pydoc</a></td></table><p><br><br><br></p><p>Combines an iterable of values in a keyed collection of elements.</p><p>See more information in the <a href=/documentation/programming-guide/#combine>Beam Programming Guide</a>.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce.
Then, we apply <code>CombineValues</code> in multiple ways to combine the keyed values in the <code>PCollection</code>.</p><p><code>CombineValues</code> accepts a function that takes an <code>iterable</code> of elements as an input, and combines them to return a single element.
<code>CombineValues</code> expects a keyed <code>PCollection</code> of elements, where the value is an iterable of elements to be combined.</p><h3 id=example-1-combining-with-a-predefined-function>Example 1: Combining with a predefined function</h3><p>We use the function
diff --git a/website/generated-content/documentation/transforms/python/aggregation/combinewithcontext/index.html b/website/generated-content/documentation/transforms/python/aggregation/combinewithcontext/index.html
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<a href=https://www.apache.org>The Apache Software Foundation</a>
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| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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Pydoc</a></td></table><p><br><br><br></p><p>Counts the number of elements within each aggregation.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with two <code>PCollection</code>s of produce.
Then, we apply <code>Count</code> to get the total number of elements in different ways.</p><h3 id=example-1-counting-all-elements-in-a-pcollection>Example 1: Counting all elements in a PCollection</h3><p>We use <code>Count.Globally()</code> to count <em>all</em> elements in a <code>PCollection</code>, even if there are duplicate elements.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Count [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html b/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
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@@ -35,7 +35,7 @@
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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 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/aggregation/groupby/index.html b/website/generated-content/documentation/transforms/python/aggregation/groupby/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></td></table><p><br><br><br></p><p>Takes a collection of elements and produces a collection grouped,
by properties of those elements.</p><p>Unlike <code>GroupByKey</code>, the key is dynamically created from the elements themselves.</p><h2 id=grouping-examples>Grouping Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code> of fruits.</p><p>We use <code>GroupBy</code> to group all fruits by the first letter of their name.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data [...]
values are grouped accordingly.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_GroupByTwoExprs data-show=groupby_two_exprs></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_GroupByTwoExprs%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22groupby_two_exprs%22%7d%5d" data-width=100% [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/groupbykey/index.html b/website/generated-content/documentation/transforms/python/aggregation/groupbykey/index.html
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@@ -35,7 +35,7 @@
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Pydoc</a></td></table><p><br><br><br></p><p>Takes a keyed collection of elements and produces a collection
where each element consists of a key and all values associated with that key.</p><p>See more information in the <a href=/documentation/programming-guide/#groupbykey>Beam Programming Guide</a>.</p><h2 id=examples>Examples</h2><p><strong>Example 1</strong>: In the following example, we create a pipeline with a <code>PCollection</code> of produce keyed by season.</p><p>We use <code>GroupByKey</code> to group all the produce for each season.</p><div class='language-py snippet'><div class="no [...]
<a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-py data-lang=py><span class=line><span class=cl><span class=kn>import</span> <span class=nn>apache_beam</span> <span class=k>as</span> <span class=nn>beam</span>
diff --git a/website/generated-content/documentation/transforms/python/aggregation/groupintobatches/index.html b/website/generated-content/documentation/transforms/python/aggregation/groupintobatches/index.html
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Pydoc</a></td></table><p><br><br><br></p><p>Batches the input into desired batch size.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code> of produce by season.</p><p>We use <code>GroupIntoBatches</code> to get fixed-sized batches for every key, which outputs a list of elements for every key.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SD [...]
<a href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.util.html#apache_beam.transforms.util.BatchElements>BatchElements</a>.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.util.html#apache_beam.transforms.util.GroupIntoBatches><img src=https://beam.apache.org/images/logos/sdks/python.png width=32px height=32px alt=Pydoc>
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/latest/index.html b/website/generated-content/documentation/transforms/python/aggregation/latest/index.html
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Pydoc</a></td></table><p><br><br><br></p><p>Gets the element with the latest timestamp.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce with a timestamp for their harvest date.</p><p>We use <code>Latest</code> to get the element with the latest timestamp from the <code>PCollection</code>.</p><h3 id=example-1-latest-element-globally>Example 1: Latest element globally</h3><p>We use <code>Latest.Globally()</code> [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/aggregation/max/index.html b/website/generated-content/documentation/transforms/python/aggregation/max/index.html
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Pydoc</a></td></table><p><br><br><br></p><p>Gets the element with the maximum value within each aggregation.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
Then, we get the element with the maximum value in different ways.</p><h3 id=example-1-maximum-element-in-a-pcollection>Example 1: Maximum element in a PCollection</h3><p>We use <code>Combine.Globally()</code> to get the maximum element from the <em>entire</em> <code>PCollection</code>.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_MaxGlobally data-show=max_globally></div></div><div class=" [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/mean/index.html b/website/generated-content/documentation/transforms/python/aggregation/mean/index.html
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-<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(" [...]
+<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>Transforms for computing the arithmetic mean of the elements in a collection,
or the mean of the values associated with each key in a collection of
key-value pairs.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
diff --git a/website/generated-content/documentation/transforms/python/aggregation/min/index.html b/website/generated-content/documentation/transforms/python/aggregation/min/index.html
index ffc0facbb1e..6a45ee430f5 100644
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+++ b/website/generated-content/documentation/transforms/python/aggregation/min/index.html
@@ -35,7 +35,7 @@
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+<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>Gets the element with the minimum value within each aggregation.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
Then, we get the element with the minimum value in different ways.</p><h3 id=example-1-minimum-element-in-a-pcollection>Example 1: Minimum element in a PCollection</h3><p>We use <code>Combine.Globally()</code> to get the minimum element from the <em>entire</em> <code>PCollection</code>.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_MinGlobally data-show=min_globally></div></div><div class=" [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/sample/index.html b/website/generated-content/documentation/transforms/python/aggregation/sample/index.html
index 9e0581ed017..8aac05a016e 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/sample/index.html
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@@ -35,7 +35,7 @@
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+<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>Transforms for taking samples of the elements in a collection, or
samples of the values associated with each key in a collection of
key-value pairs.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
diff --git a/website/generated-content/documentation/transforms/python/aggregation/sum/index.html b/website/generated-content/documentation/transforms/python/aggregation/sum/index.html
index f5998e6e252..4d49e37c3e8 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/sum/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/sum/index.html
@@ -35,7 +35,7 @@
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+<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>Sums all the elements within each aggregation.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
Then, we get the sum of all the element values in different ways.</p><h3 id=example-1-sum-of-the-elements-in-a-pcollection>Example 1: Sum of the elements in a PCollection</h3><p>We use <code>Combine.Globally()</code> to get sum of all the element values from the <em>entire</em> <code>PCollection</code>.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_SumGlobally data-show=sum_globally></div>< [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/aggregation/top/index.html b/website/generated-content/documentation/transforms/python/aggregation/top/index.html
index 1f00375994e..274c6b5b39d 100644
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+<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>Transforms for finding the largest (or smallest) set of elements in
a collection, or the largest (or smallest) set of values associated
with each key in a collection of key-value pairs.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code>.
diff --git a/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html b/website/generated-content/documentation/transforms/python/elementwise/enrichment-bigtable/index.html
similarity index 71%
copy from website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
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index 3806ac6699f..70e75c45d6e 100644
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@@ -1,4 +1,4 @@
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+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Enrichment with Bigtable</title><meta name=description content="Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Doma [...]
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-Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO><code>RequestResponeIO</code></a> internally. This feature uses client-side throttling to ensure that the remote service isn’t overloade [...]
+<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></a></td></tr></table><p>In Apache Beam 2.54.0 and later versions, the enrichment transform includes a built-in enrichment handler for <a href=https://cloud.google.com/bigtable/docs/overview>Bigtable</a>.
+The following example demonstrates how to create a pipeline that use the enrichment transform with the <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler><code>BigTableEnrichmentHandler</code></a> handler.</p><p>The data stored in the Bigtable cluster uses the following format:</p><div class=table-wrapper><table><thead><tr><th style=text-align:center> [...]
</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment</span> <span class=kn>import</span> <span class=n>Enrichment</span>
</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment_handlers.bigtable</span> <span class=kn>import</span> <span class=n>BigTableEnrichmentHandler</span>
</span></span><span class=line><span class=cl>
@@ -63,7 +64,7 @@ Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>The enrichment
</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Enrich W/ BigTable"</span> <span class=o>>></span> <span class=n>Enrichment</span><span class=p>(</span><span class=n>bigtable_handler</span><span class=p>)</span>
</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Print"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span class=p>(</span><span class=nb>print</span><span class=p>))</span></span></span></code></pre></div></div></div><p><p class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip [...]
Row(sale_id=3, customer_id=3, product_id=2, quantity=3, product={'product_id': '2', 'product_name': 'pixel 6', 'product_stock': '4'})
-Row(sale_id=5, customer_id=5, product_id=4, quantity=2, product={'product_id': '4', 'product_name': 'pixel 8', 'product_stock': '10'})</code></pre></div></div></p><h2 id=related-transforms>Related transforms</h2><p>Not applicable.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.html#apache_beam.transforms.Enrichment><img src=https://beam [...]
+Row(sale_id=5, customer_id=5, product_id=4, quantity=2, product={'product_id': '4', 'product_name': 'pixel 8', 'product_stock': '10'})</code></pre></div></div></p><h2 id=related-transforms>Related transforms</h2><p>Not applicable.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enr [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html b/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html
similarity index 55%
copy from website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
copy to website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html
index 3806ac6699f..81879b8eeeb 100644
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+++ b/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Enrichment</title><meta name=description content="Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific La [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Enrichment with Vertex AI Feature Store</title><meta name=description content="Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns [...]
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-Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO><code>RequestResponeIO</code></a> internally. This feature uses client-side throttling to ensure that the remote service isn’t overloade [...]
+<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></a></td></tr></table><p>In Apache Beam 2.55.0 and later versions, the enrichment transform includes a built-in enrichment handler for <a href=https://cloud.google.com/vertex-ai/docs/featurestore>Vertex AI Feature Store</a>.
+The following example demonstrates how to create a pipeline that use the enrichment transform with the <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler><code>VertexAIFeatureStoreEnrichmentHandler</code></a> handler and the <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichme [...]
</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment</span> <span class=kn>import</span> <span class=n>Enrichment</span>
-</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment_handlers.bigtable</span> <span class=kn>import</span> <span class=n>BigTableEnrichmentHandler</span>
+</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store</span> \
+</span></span><span class=line><span class=cl> <span class=kn>import</span> <span class=nn>VertexAIFeatureStoreEnrichmentHandler</span>
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=n>project_id</span> <span class=o>=</span> <span class=s1>'apache-beam-testing'</span>
-</span></span><span class=line><span class=cl><span class=n>instance_id</span> <span class=o>=</span> <span class=s1>'beam-test'</span>
-</span></span><span class=line><span class=cl><span class=n>table_id</span> <span class=o>=</span> <span class=s1>'bigtable-enrichment-test'</span>
-</span></span><span class=line><span class=cl><span class=n>row_key</span> <span class=o>=</span> <span class=s1>'product_id'</span>
+</span></span><span class=line><span class=cl><span class=n>location</span> <span class=o>=</span> <span class=s1>'us-central1'</span>
+</span></span><span class=line><span class=cl><span class=n>api_endpoint</span> <span class=o>=</span> <span class=sa>f</span><span class=s2>"</span><span class=si>{</span><span class=n>location</span><span class=si>}</span><span class=s2>-aiplatform.googleapis.com"</span>
+</span></span><span class=line><span class=cl><span class=n>data</span> <span class=o>=</span> <span class=p>[</span>
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>user_id</span><span class=o>=</span><span class=s1>'2963'</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>14235</span><span class=p>,</span> <span class=n>sale_price</span><span class=o>=</span><span class=mf>15.0</span><span class=p>),</span>
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>user_id</span><span class=o>=</span><span class=s1>'21422'</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>11203</span><span class=p>,</span> <span class=n>sale_price</span><span class=o>=</span><span class=mf>12.0</span><span class=p>),</span>
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>user_id</span><span class=o>=</span><span class=s1>'20592'</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>8579</span><span class=p>,</span> <span class=n>sale_price</span><span class=o>=</span><span class=mf>9.0</span><span class=p>),</span>
+</span></span><span class=line><span class=cl><span class=p>]</span>
</span></span><span class=line><span class=cl>
+</span></span><span class=line><span class=cl><span class=n>vertex_ai_handler</span> <span class=o>=</span> <span class=n>VertexAIFeatureStoreEnrichmentHandler</span><span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>project</span><span class=o>=</span><span class=n>project_id</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>location</span><span class=o>=</span><span class=n>location</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>api_endpoint</span><span class=o>=</span><span class=n>api_endpoint</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>feature_store_name</span><span class=o>=</span><span class=s2>"vertexai_enrichment_example"</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>feature_view_name</span><span class=o>=</span><span class=s2>"users"</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>row_key</span><span class=o>=</span><span class=s2>"user_id"</span><span class=p>,</span>
+</span></span><span class=line><span class=cl><span class=p>)</span>
+</span></span><span class=line><span class=cl><span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span class=n>p</span><span class=p>:</span>
+</span></span><span class=line><span class=cl> <span class=n>_</span> <span class=o>=</span> <span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>p</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Create"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Create</span><span class=p>(</span><span class=n>data</span><span class=p>)</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Enrich W/ Vertex AI"</span> <span class=o>>></span> <span class=n>Enrichment</span><span class=p>(</span><span class=n>vertex_ai_handler</span><span class=p>)</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Print"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span class=p>(</span><span class=nb>print</span><span class=p>))</span></span></span></code></pre></div></div></div><p><p class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip [...]
+Row(user_id='21422', product_id=11203, sale_price=12.0, age=36.0, state='184', gender='1', country='5')
+Row(user_id='20592', product_id=8579, sale_price=9.0, age=30.0, state='86', gender='1', country='4')</code></pre></div></div></p><h2 id=example-2-enrichment-with-vertex-ai-feature-store-legacy>Example 2: Enrichment with Vertex AI Feature Store (legacy)</h2><p>The precomputed feature values stored in Vertex AI Feature Store (Legacy) use the following format:</p><div class=table-wrapper><table><thead><tr><th style=text-align:left>entity_id</th><th style=text [...]
+</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment</span> <span class=kn>import</span> <span class=n>Enrichment</span>
+</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store</span> \
+</span></span><span class=line><span class=cl> <span class=kn>import</span> <span class=nn>VertexAIFeatureStoreLegacyEnrichmentHandler</span>
+</span></span><span class=line><span class=cl>
+</span></span><span class=line><span class=cl><span class=n>project_id</span> <span class=o>=</span> <span class=s1>'apache-beam-testing'</span>
+</span></span><span class=line><span class=cl><span class=n>location</span> <span class=o>=</span> <span class=s1>'us-central1'</span>
+</span></span><span class=line><span class=cl><span class=n>api_endpoint</span> <span class=o>=</span> <span class=sa>f</span><span class=s2>"</span><span class=si>{</span><span class=n>location</span><span class=si>}</span><span class=s2>-aiplatform.googleapis.com"</span>
</span></span><span class=line><span class=cl><span class=n>data</span> <span class=o>=</span> <span class=p>[</span>
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>3</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>3</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>2</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>5</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>5</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>4</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>entity_id</span><span class=o>=</span><span class=s2>"movie_01"</span><span class=p>,</span> <span class=n>title</span><span class=o>=</span><span class=s1>'The Shawshank Redemption'</span><span class=p>),</span>
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>entity_id</span><span class=o>=</span><span class=s2>"movie_02"</span><span class=p>,</span> <span class=n>title</span><span class=o>=</span><span class=s2>"The Shining"</span><span class=p>),</span>
+</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>entity_id</span><span class=o>=</span><span class=s2>"movie_04"</span><span class=p>,</span> <span class=n>title</span><span class=o>=</span><span class=s1>'The Dark Knight'</span><span class=p>),</span>
</span></span><span class=line><span class=cl><span class=p>]</span>
</span></span><span class=line><span class=cl>
-</span></span><span class=line><span class=cl><span class=n>bigtable_handler</span> <span class=o>=</span> <span class=n>BigTableEnrichmentHandler</span><span class=p>(</span>
-</span></span><span class=line><span class=cl> <span class=n>project_id</span><span class=o>=</span><span class=n>project_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>instance_id</span><span class=o>=</span><span class=n>instance_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>table_id</span><span class=o>=</span><span class=n>table_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>row_key</span><span class=o>=</span><span class=n>row_key</span><span class=p>)</span>
+</span></span><span class=line><span class=cl><span class=n>vertex_ai_handler</span> <span class=o>=</span> <span class=n>VertexAIFeatureStoreLegacyEnrichmentHandler</span><span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>project</span><span class=o>=</span><span class=n>project_id</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>location</span><span class=o>=</span><span class=n>location</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>api_endpoint</span><span class=o>=</span><span class=n>api_endpoint</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>entity_type_id</span><span class=o>=</span><span class=s1>'movies'</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>feature_store_id</span><span class=o>=</span><span class=s2>"movie_prediction_unique"</span><span class=p>,</span>
+</span></span><span class=line><span class=cl> <span class=n>feature_ids</span><span class=o>=</span><span class=p>[</span><span class=s2>"title"</span><span class=p>,</span> <span class=s2>"genres"</span><span class=p>],</span>
+</span></span><span class=line><span class=cl> <span class=n>row_key</span><span class=o>=</span><span class=s2>"entity_id"</span><span class=p>,</span>
+</span></span><span class=line><span class=cl><span class=p>)</span>
</span></span><span class=line><span class=cl><span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span class=n>p</span><span class=p>:</span>
</span></span><span class=line><span class=cl> <span class=n>_</span> <span class=o>=</span> <span class=p>(</span>
</span></span><span class=line><span class=cl> <span class=n>p</span>
</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Create"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Create</span><span class=p>(</span><span class=n>data</span><span class=p>)</span>
-</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Enrich W/ BigTable"</span> <span class=o>>></span> <span class=n>Enrichment</span><span class=p>(</span><span class=n>bigtable_handler</span><span class=p>)</span>
-</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Print"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span class=p>(</span><span class=nb>print</span><span class=p>))</span></span></span></code></pre></div></div></div><p><p class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip [...]
-Row(sale_id=3, customer_id=3, product_id=2, quantity=3, product={'product_id': '2', 'product_name': 'pixel 6', 'product_stock': '4'})
-Row(sale_id=5, customer_id=5, product_id=4, quantity=2, product={'product_id': '4', 'product_name': 'pixel 8', 'product_stock': '10'})</code></pre></div></div></p><h2 id=related-transforms>Related transforms</h2><p>Not applicable.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.html#apache_beam.transforms.Enrichment><img src=https://beam [...]
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Enrich W/ Vertex AI"</span> <span class=o>>></span> <span class=n>Enrichment</span><span class=p>(</span><span class=n>vertex_ai_handler</span><span class=p>)</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Print"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span class=p>(</span><span class=nb>print</span><span class=p>))</span></span></span></code></pre></div></div></div><p><p class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip [...]
+Row(entity_id='movie_02', title='The Shining', genres='Horror')
+Row(entity_id='movie_04', title='The Dark Knight', genres='Action')</code></pre></div></div></p><h2 id=related-transforms>Related transforms</h2><p>Not applicable.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandl [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html b/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
index 3806ac6699f..9fc78478fa6 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
@@ -35,35 +35,8 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
<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></a></td></tr></table><p>The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO><code>RequestResponeIO</code></a> internally. This feature uses client-side throttling to ensure that the remote service isn’t overloade [...]
-</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment</span> <span class=kn>import</span> <span class=n>Enrichment</span>
-</span></span><span class=line><span class=cl><span class=kn>from</span> <span class=nn>apache_beam.transforms.enrichment_handlers.bigtable</span> <span class=kn>import</span> <span class=n>BigTableEnrichmentHandler</span>
-</span></span><span class=line><span class=cl>
-</span></span><span class=line><span class=cl><span class=n>project_id</span> <span class=o>=</span> <span class=s1>'apache-beam-testing'</span>
-</span></span><span class=line><span class=cl><span class=n>instance_id</span> <span class=o>=</span> <span class=s1>'beam-test'</span>
-</span></span><span class=line><span class=cl><span class=n>table_id</span> <span class=o>=</span> <span class=s1>'bigtable-enrichment-test'</span>
-</span></span><span class=line><span class=cl><span class=n>row_key</span> <span class=o>=</span> <span class=s1>'product_id'</span>
-</span></span><span class=line><span class=cl>
-</span></span><span class=line><span class=cl><span class=n>data</span> <span class=o>=</span> <span class=p>[</span>
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>1</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>3</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>3</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>2</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
-</span></span><span class=line><span class=cl> <span class=n>beam</span><span class=o>.</span><span class=n>Row</span><span class=p>(</span><span class=n>sale_id</span><span class=o>=</span><span class=mi>5</span><span class=p>,</span> <span class=n>customer_id</span><span class=o>=</span><span class=mi>5</span><span class=p>,</span> <span class=n>product_id</span><span class=o>=</span><span class=mi>4</span><span class=p>,</span> <span class=n>quantity</span><span class=o>=</span><sp [...]
-</span></span><span class=line><span class=cl><span class=p>]</span>
-</span></span><span class=line><span class=cl>
-</span></span><span class=line><span class=cl><span class=n>bigtable_handler</span> <span class=o>=</span> <span class=n>BigTableEnrichmentHandler</span><span class=p>(</span>
-</span></span><span class=line><span class=cl> <span class=n>project_id</span><span class=o>=</span><span class=n>project_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>instance_id</span><span class=o>=</span><span class=n>instance_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>table_id</span><span class=o>=</span><span class=n>table_id</span><span class=p>,</span>
-</span></span><span class=line><span class=cl> <span class=n>row_key</span><span class=o>=</span><span class=n>row_key</span><span class=p>)</span>
-</span></span><span class=line><span class=cl><span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span class=n>p</span><span class=p>:</span>
-</span></span><span class=line><span class=cl> <span class=n>_</span> <span class=o>=</span> <span class=p>(</span>
-</span></span><span class=line><span class=cl> <span class=n>p</span>
-</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Create"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Create</span><span class=p>(</span><span class=n>data</span><span class=p>)</span>
-</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Enrich W/ BigTable"</span> <span class=o>>></span> <span class=n>Enrichment</span><span class=p>(</span><span class=n>bigtable_handler</span><span class=p>)</span>
-</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s2>"Print"</span> <span class=o>>></span> <span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span class=p>(</span><span class=nb>print</span><span class=p>))</span></span></span></code></pre></div></div></div><p><p class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip [...]
-Row(sale_id=3, customer_id=3, product_id=2, quantity=3, product={'product_id': '2', 'product_name': 'pixel 6', 'product_stock': '4'})
-Row(sale_id=5, customer_id=5, product_id=4, quantity=2, product={'product_id': '4', 'product_name': 'pixel 8', 'product_stock': '10'})</code></pre></div></div></p><h2 id=related-transforms>Related transforms</h2><p>Not applicable.</p><table align=left style=margin-right:1em><td><a class=button target=_blank href=https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.html#apache_beam.transforms.Enrichment><img src=https://beam [...]
+<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></a></td></tr></table><p>The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses <a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO><code>RequestResponeIO</code></a> internally. This feature uses client-side throttling to ensure that the remote service isn’t overloade [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/filter/index.html b/website/generated-content/documentation/transforms/python/elementwise/filter/index.html
index 50025cbc860..b722baf9f83 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/filter/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/filter/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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<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(" [...]
+<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>Given a predicate, filter out all elements that don’t satisfy that predicate.
May also be used to filter based on an inequality with a given value based
on the comparison ordering of the element.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce with their icon, name, and duration.
diff --git a/website/generated-content/documentation/transforms/python/elementwise/flatmap/index.html b/website/generated-content/documentation/transforms/python/elementwise/flatmap/index.html
index 569c27e1c4f..8c2e52ce769 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/flatmap/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/flatmap/index.html
@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Applies a simple 1-to-many mapping function over each element in the collection.
The many elements are flattened into the resulting collection.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce with their icon, name, and duration.
Then, we apply <code>FlatMap</code> in multiple ways to yield zero or more elements per each input element into the resulting <code>PCollection</code>.</p><p><code>FlatMap</code> accepts a function that returns an <code>iterable</code>,
diff --git a/website/generated-content/documentation/transforms/python/elementwise/keys/index.html b/website/generated-content/documentation/transforms/python/elementwise/keys/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Takes a collection of key-value pairs and returns the key of each element.</p><h2 id=example>Example</h2><p>In the following example, we create a pipeline with a <code>PCollection</code> of key-value pairs.
Then, we apply <code>Keys</code> to extract the keys and discard the values.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Keys data-show=keys></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_Keys%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22keys%22%7d%5d" data-width=100% dat [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/elementwise/kvswap/index.html b/website/generated-content/documentation/transforms/python/elementwise/kvswap/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Takes a collection of key-value pairs and returns a collection of key-value pairs
which has each key and value swapped.</p><h2 id=examples>Examples</h2><p>In the following example, we create a pipeline with a <code>PCollection</code> of key-value pairs.
Then, we apply <code>KvSwap</code> to swap the keys and values.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_KvSwap data-show=kvswap></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_KvSwap%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22kvswap%22%7d%5d" data-width=100% data-hei [...]
diff --git a/website/generated-content/documentation/transforms/python/elementwise/map/index.html b/website/generated-content/documentation/transforms/python/elementwise/map/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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>Applies a simple 1-to-1 mapping function over each element in the collection.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of produce with their icon, name, and duration.
Then, we apply <code>Map</code> in multiple ways to transform every element in the <code>PCollection</code>.</p><p><code>Map</code> accepts a function that returns a single element for every input element in the <code>PCollection</code>.</p><h3 id=example-1-map-with-a-predefined-function>Example 1: Map with a predefined function</h3><p>We use the function <code>str.strip</code> which takes a single <code>str</code> element and outputs a <code>str</code>.
It strips the input element’s whitespaces, including newlines and tabs.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_MapSimple data-show=map_simple></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_MapSimple%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22map_simple%22%7d% [...]
diff --git a/website/generated-content/documentation/transforms/python/elementwise/mltransform/index.html b/website/generated-content/documentation/transforms/python/elementwise/mltransform/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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></a></td></tr></table><p>Use <code>MLTransform</code> to apply common machine learning (ML) processing tasks on keyed data. Apache Beam provides ML data processing transformations that you can use with <code>MLTransform</code>. For the full list of available data
processing transformations, see the <a href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/ml/transforms/tft.py#L52>tft.py file</a> in GitHub.</p><p>To define a data processing transformation by using <code>MLTransform</code>, create instances of data processing transforms with <code>columns</code> as input parameters. The data in the specified <code>columns</code> is transformed and outputted to the <code>beam.Row</code> object.</p><p>The following example demonstrat [...]
with beam.Pipeline() as p:
diff --git a/website/generated-content/documentation/transforms/python/elementwise/pardo/index.html b/website/generated-content/documentation/transforms/python/elementwise/pardo/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
+<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>A transform for generic parallel processing.
A <code>ParDo</code> transform considers each element in the input <code>PCollection</code>,
performs some processing function (your user code) on that element,
diff --git a/website/generated-content/documentation/transforms/python/elementwise/partition/index.html b/website/generated-content/documentation/transforms/python/elementwise/partition/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Separates elements in a collection into multiple output
collections. The partitioning function contains the logic that determines how
to separate the elements of the input collection into each resulting
diff --git a/website/generated-content/documentation/transforms/python/elementwise/regex/index.html b/website/generated-content/documentation/transforms/python/elementwise/regex/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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+<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>Filters input string elements based on a regex. May also transform them based on the matching groups.</p><h2 id=examples>Examples</h2><p>In the following examples, we create a pipeline with a <code>PCollection</code> of text strings.
Then, we use the <code>Regex</code> transform to search, replace, and split through the text elements using
<a href=https://docs.python.org/3/library/re.html>regular expressions</a>.</p><p>You can use tools to help you create and test your regular expressions, such as
diff --git a/website/generated-content/documentation/transforms/python/elementwise/reify/index.html b/website/generated-content/documentation/transforms/python/elementwise/reify/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>The following examples demonstrate how to create pipelines that use the Beam RunInference API and PyTorch.</p><h2 id=example-1-pytorch-unkeyed-model>Example 1: PyTorch unkeyed model</h2><p>In this example, we create a pipeline that uses a PyTorch RunInference transform on unkeyed data.</p><div class='language-py snippet'><div class="notebook-skip code-snippet"><a target=_blank type=button data-bs-toggle=tooltip data-bs-pla [...]
<a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-py data-lang=py><span class=line><span class=cl><span class=kn>import</span> <span class=nn>apache_beam</span> <span class=k>as</span> <span class=nn>beam</span>
</span></span><span class=line><span class=cl><span class=kn>import</span> <span class=nn>numpy</span>
diff --git a/website/generated-content/documentation/transforms/python/elementwise/runinference-sklearn/index.html b/website/generated-content/documentation/transforms/python/elementwise/runinference-sklearn/index.html
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Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>The following examples demonstrate how to to create pipelines that use the Beam RunInference API and Sklearn.</p><h2 id=example-1-sklearn-unkeyed-model>Example 1: Sklearn unkeyed model</h2><p>In this example, we create a pipeline that uses an SKlearn RunInference transform on unkeyed data.</p><div class='language-py snippet'><div class="notebook-skip code-snippet"><a target=_blank type=button data-bs-toggle=tooltip data-bs [...]
<a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-py data-lang=py><span class=line><span class=cl><span class=kn>import</span> <span class=nn>apache_beam</span> <span class=k>as</span> <span class=nn>beam</span>
</span></span><span class=line><span class=cl><span class=kn>import</span> <span class=nn>numpy</span>
diff --git a/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html b/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html
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Pydoc</a></td></table><p><br><br><br></p></a></td></tr></table><p>Uses models to do local and remote inference. A <code>RunInference</code> transform performs inference on a <code>PCollection</code> of examples using a machine learning (ML) model. The transform outputs a <code>PCollection</code> that contains the input examples and output predictions. Avaliable in Apache Beam 2.40.0 and later versions.</p><p>For more information about Beam RunInference APIs, see the <a href=https://beam. [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/tostring/index.html b/website/generated-content/documentation/transforms/python/elementwise/tostring/index.html
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@@ -35,7 +35,7 @@
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Pydoc</a></td></table><p><br><br><br></p><p>Transforms every element in an input collection to a string.</p><h2 id=examples>Examples</h2><p>Any non-string element can be converted to a string using standard Python functions and methods.
Many I/O transforms, such as
<a href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.textio.html#apache_beam.io.textio.WriteToText><code>textio.WriteToText</code></a>,
diff --git a/website/generated-content/documentation/transforms/python/elementwise/values/index.html b/website/generated-content/documentation/transforms/python/elementwise/values/index.html
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Pydoc</a></td></table><p><br><br><br></p><p>Takes a collection of key-value pairs, and returns the value of each element.</p><h2 id=example>Example</h2><p>In the following example, we create a pipeline with a <code>PCollection</code> of key-value pairs.
Then, we apply <code>Values</code> to extract the values and discard the keys.</p><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Values data-show=values></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_Values%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22values%22%7d%5d" data-widt [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2024/03/26</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 [...]
diff --git a/website/generated-content/documentation/transforms/python/elementwise/withkeys/index.html b/website/generated-content/documentation/transforms/python/elementwise/withkeys/index.html
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<a href=https://www.apache.org>The Apache Software Foundation</a>
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| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/withtimestamps/index.html b/website/generated-content/documentation/transforms/python/elementwise/withtimestamps/index.html
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--- a/website/generated-content/documentation/transforms/python/elementwise/withtimestamps/index.html
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When windowing and late data play an important role in streaming pipelines, timestamps are especially useful.</p><h3 id=example-1-timestamp-by-event-time>Example 1: Timestamp by event time</h3><p>The elements themselves often already contain a timestamp field.
<code>beam.window.TimestampedValue</code> takes a value and a
<a href=https://en.wikipedia.org/wiki/Unix_time>Unix timestamp</a>
diff --git a/website/generated-content/documentation/transforms/python/other/create/index.html b/website/generated-content/documentation/transforms/python/other/create/index.html
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Pydoc</a></table><br><br><p>Creates a collection containing a specified set of elements. This is
useful for testing, as well as creating an initial input to process
in parallel. For example, a single element to execute a one-time
diff --git a/website/generated-content/documentation/transforms/python/other/flatten/index.html b/website/generated-content/documentation/transforms/python/other/flatten/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></table><br><br><p>Merges multiple <code>PCollection</code> objects into a single logical
<code>PCollection</code>. A transform for <code>PCollection</code> objects
that store the same data type.</p><p>See more information in the <a href=/documentation/programming-guide/#flatten>Beam Programming Guide</a>.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Flatten data-show=flatten></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 [...]
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<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/transforms/python/other/reshuffle/index.html b/website/generated-content/documentation/transforms/python/other/reshuffle/index.html
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@@ -35,7 +35,7 @@
<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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-<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(" [...]
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Pydoc</a></table><br><br><p>Adds a temporary random key to each element in a collection, reshuffles
these keys, and removes the temporary key. This redistributes the
elements between workers and returns a collection equivalent to its
diff --git a/website/generated-content/documentation/transforms/python/other/view/index.html b/website/generated-content/documentation/transforms/python/other/view/index.html
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<a href=https://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.</div></div><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col--group><div class=footer__cols__col__logo><a href=https://github.com/apache/beam><im [...]
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diff --git a/website/generated-content/documentation/transforms/python/other/windowinto/index.html b/website/generated-content/documentation/transforms/python/other/windowinto/index.html
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<img class=banner-img-mobile src=/images/banners/tour-of-beam/tour-of-beam-mobile.png alt="Start Tour of Beam"></a></div><div class=swiper-slide><a href=https://beam.apache.org/documentation/ml/overview/><img class=banner-img-desktop src=/images/banners/machine-learning/machine-learning-desktop.jpg alt="Machine Learning">
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Pydoc</a></table><br><br><p>Logically divides up or groups the elements of a collection into finite
windows according to a function.</p><h2 id=examples>Examples</h2><div class=playground-wrapper><div class=playground-snippets><div class="language-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Window data-show=window></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_Window%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22window%22%7d%5d" data-width=100% data-heigh [...]
produces a collection where each element consists of a key and all values associated
diff --git a/website/generated-content/documentation/transforms/python/overview/index.html b/website/generated-content/documentation/transforms/python/overview/index.html
index 60b46956c66..5bea2d261e1 100644
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outputs all resulting elements.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/keys>Keys</a></td><td>Extracts the key from each element in a collection of key-value pairs.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/kvswap>KvSwap</a></td><td>Swaps the key and value of each element in a collection of key-value pairs.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/map>Map</a></td><td>Applies a function to every element [...]
in the input collection.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/partition>Partition</a></td><td>Routes each input element to a specific output collection based on some partition
function.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/regex>Regex</a></td><td>Filters input string elements based on a regex. May also transform them based on the matching groups.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/reify>Reify</a></td><td>Transforms for converting between explicit and implicit form of various Beam values.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/runinference>RunInference</a></td><td [...]
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