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Posted to commits@beam.apache.org by gi...@apache.org on 2025/07/29 23:43:45 UTC
(beam) branch asf-site updated: Publishing website 2025/07/29 23:43:37 at commit 749e274
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new 4fbb0debb7f Publishing website 2025/07/29 23:43:37 at commit 749e274
4fbb0debb7f is described below
commit 4fbb0debb7faafa52acbcc421a957a0e98822742
Author: runner <ru...@main-runner-frrkx-sz9l2>
AuthorDate: Tue Jul 29 23:43:37 2025 +0000
Publishing website 2025/07/29 23:43:37 at commit 749e274
---
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diff --git a/website/generated-content/documentation/basics/index.html b/website/generated-content/documentation/basics/index.html
index b7d76037fc3..0affdefe57d 100644
--- a/website/generated-content/documentation/basics/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">
<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(" [...]
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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<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
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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">
<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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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/io/built-in/cdap/index.html b/website/generated-content/documentation/io/built-in/cdap/index.html
index 533cbc1b818..557292c93a6 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(" [...]
</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 3f3b99d1ec3..79fc54428fb 100644
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@@ -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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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 [...]
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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>
<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 0a31e62edc3..8e23fbeabe3 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 44f8c8ee592..6296577df69 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 0c70b210bc5..376d330659e 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>2.66.0</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 b7070087ab7..25ff4cec546 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>2.66.0</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 71528560962..207a67b272a 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>
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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><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
index a650f77b88a..231b8478738 100644
--- a/website/generated-content/documentation/io/built-in/webapis/index.html
+++ 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">
<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(" [...]
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
index 491261ad6f0..75a82fe3003 100644
--- 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">
<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://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><td class=absent>✘</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
index 6fe6f4f97cd..4f73d946a68 100644
--- a/website/generated-content/documentation/io/developing-io-java/index.html
+++ 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">
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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(" [...]
<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
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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
index 64366425d9c..64eb18156f9 100644
--- a/website/generated-content/documentation/io/developing-io-python/index.html
+++ 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">
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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 <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 b60d0916de5..bc5d306fc74 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/managed-io/index.html b/website/generated-content/documentation/io/managed-io/index.html
index 0dfda6577d6..08fa32be9bc 100644
--- a/website/generated-content/documentation/io/managed-io/index.html
+++ b/website/generated-content/documentation/io/managed-io/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(" [...]
simplicity and powerful enhancements. I/Os are now configured through a
lightweight, consistent interface: a simple configuration map with a unified
API that spans multiple connectors.</p><p>With Managed I/O, runners gain deeper insight into each I/O’s structure and
diff --git a/website/generated-content/documentation/io/testing/index.html b/website/generated-content/documentation/io/testing/index.html
index 3100c41f898..1a4ccb8d224 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 25d14b9918c..d37d7ebc7de 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">
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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></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 8bfc2fc4ce2..1ebba09788c 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 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(" [...]
├── 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 0186bf7fc3f..d582c6cec44 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">
<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(" [...]
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
index 8290db01357..6d21c1ad625 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>
<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>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 7147f65e665..f177741abe7 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(" [...]
+<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. When using a custom model handler, you can override the <code>share_model_across_processes</code> function or the <code>model_copies</code> function for a similar effect.</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> lang [...]
</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/ml-dependency-extras/index.html b/website/generated-content/documentation/ml/ml-dependency-extras/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(" [...]
been well tested with Beam ML, Beam provides a set of ML extras which can
be installed alongside of Beam. For example, if you want to use a version
of PyTorch which has been tested with Beam, you can install it with:</p><pre tabindex=0><code>pip install beam[torch]
diff --git a/website/generated-content/documentation/ml/model-evaluation/index.html b/website/generated-content/documentation/ml/model-evaluation/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(" [...]
</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
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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(" [...]
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
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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(" [...]
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
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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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-<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>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
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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(" [...]
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
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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 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(" [...]
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 6b9967e5619..8950307bea3 100644
--- a/website/generated-content/documentation/ml/runinference-metrics/index.html
+++ b/website/generated-content/documentation/ml/runinference-metrics/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(" [...]
├── 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 fe1eb041ba6..7c25429ce77 100644
--- a/website/generated-content/documentation/ml/side-input-updates/index.html
+++ b/website/generated-content/documentation/ml/side-input-updates/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(" [...]
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 95a1399bd4a..26971ade126 100644
--- a/website/generated-content/documentation/ml/tensorrt-runinference/index.html
+++ 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 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(" [...]
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 fbdf2423a08..57a51b07ab0 100644
--- a/website/generated-content/documentation/patterns/ai-platform/index.html
+++ b/website/generated-content/documentation/patterns/ai-platform/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(" [...]
<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/batch-elements/index.html b/website/generated-content/documentation/patterns/batch-elements/index.html
index 5b38b7cb656..d2645d7cd76 100644
--- a/website/generated-content/documentation/patterns/batch-elements/index.html
+++ b/website/generated-content/documentation/patterns/batch-elements/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(" [...]
<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/bigqueryio/index.html b/website/generated-content/documentation/patterns/bigqueryio/index.html
index c15f1e26d78..3c840aef5d6 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 7911c8f133c..3806b797d89 100644
--- a/website/generated-content/documentation/patterns/bqml/index.html
+++ b/website/generated-content/documentation/patterns/bqml/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(" [...]
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 06078d3d857..3902628081e 100644
--- a/website/generated-content/documentation/patterns/custom-io/index.html
+++ b/website/generated-content/documentation/patterns/custom-io/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://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 f28dcd949c2..2dbce5cbaca 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">
<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></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 996f5967e09..2d44241d560 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 06994144d49..d0a92a2419e 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 63aa144563d..c9c243e8261 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 [...]
\ No newline at end of file
diff --git a/website/generated-content/documentation/patterns/pipeline-options/index.html b/website/generated-content/documentation/patterns/pipeline-options/index.html
index ee7d71c9161..a1cc8564ff3 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">
<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=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 46e006e41f6..cda701ef8e9 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/shared-class/index.html b/website/generated-content/documentation/patterns/shared-class/index.html
index d3046a07645..073d632e56f 100644
--- a/website/generated-content/documentation/patterns/shared-class/index.html
+++ b/website/generated-content/documentation/patterns/shared-class/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=k>class</span> <span class=nc>WeakRefDict</span><span class=p>(</span><span class=nb>dict</span><span class=p>):</span>
</span></span><span class=line><span class=cl> <span class=k>pass</span>
</span></span><span class=line><span class=cl>
diff --git a/website/generated-content/documentation/patterns/side-inputs/index.html b/website/generated-content/documentation/patterns/side-inputs/index.html
index c4e16e2248a..f9d2272f647 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 9fa4ce7fec3..3e87096696d 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 9f0ef43e4b8..d374f5a0e4a 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>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 8e6249eaa20..7b2b8ef8d3b 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><div class='language-go 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-go data-lang=go><span class=line><span class=cl><span class=kn>import</span> <span class=s> [...]
</span></span><span class=line><span class=cl>
</span></span><span class=line><span class=cl><span class=c1>// Override TestMain with ptest.Main,
diff --git a/website/generated-content/documentation/programming-guide/index.html b/website/generated-content/documentation/programming-guide/index.html
index 7a41e36e61c..6390c7fd96d 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>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/runtime/environments/index.html b/website/generated-content/documentation/runtime/environments/index.html
index 228d3ba3d46..1818c765839 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">
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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
index 3efd6da1d26..e691ae8c1fa 100644
--- a/website/generated-content/documentation/runtime/model/index.html
+++ b/website/generated-content/documentation/runtime/model/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(" [...]
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
index 359ab4e9587..9e41d84c5bc 100644
--- a/website/generated-content/documentation/runtime/resource-hints/index.html
+++ b/website/generated-content/documentation/runtime/resource-hints/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 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 7dbf757f35a..eaa2ef3b60f 100644
--- a/website/generated-content/documentation/runtime/sdk-harness-config/index.html
+++ b/website/generated-content/documentation/runtime/sdk-harness-config/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(" [...]
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/sdks/python-sdk-image-build/index.html b/website/generated-content/documentation/sdks/python-sdk-image-build/index.html
index adac217cc08..ff6d172a281 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(" [...]
<a href=https://github.com/apache/beam/blob/master/sdks/python/container/boot.go>the Python SDK boot entrypoint binary</a>,
read <a href=#update-boot-entrypoint-application-only>Update Boot Entrypoint Application Only</a>.
If you need to build a Beam Python SDK image fully,
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 57ea811b4a5..cb42891a0d6 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>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>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 0902717355e..4f80b90b791 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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<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>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 2025/07/29</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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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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<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>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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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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+++ b/website/generated-content/documentation/transforms/java/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(" [...]
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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@@ -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>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 @@
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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 2025/07/29</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 841a9234043..00ee09f79e5 100644
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+++ 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 4729e8790d4..aff458d58ab 100644
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+++ b/website/generated-content/documentation/transforms/java/elementwise/filter/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(" [...]
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 b4826085853..86b3f215f87 100644
--- a/website/generated-content/documentation/transforms/java/elementwise/flatmapelements/index.html
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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
index bc5be7535ce..226c71f9c7a 100644
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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 b2ce1092dd6..16fc84ce748 100644
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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 3af1cfc58e4..53279dc5ce9 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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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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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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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 ff622e10349..1cecd6c408d 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(" [...]
+<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 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 2025/07/29</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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+<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>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 6f7a00cb34e..ca2d1fc448e 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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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 [...]
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diff --git a/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html b/website/generated-content/documentation/transforms/java/elementwise/withkeys/index.html
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--- 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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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 20371fbd804..bd76fa6b25b 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 @@
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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 c8e3faa6389..123445d281b 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(" [...]
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 76d87501623..29a4947ff5e 100644
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+++ 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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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/flattenwith/index.html b/website/generated-content/documentation/transforms/java/other/flattenwith/index.html
index 33a0c3ac5f4..5bd3afe2caf 100644
--- a/website/generated-content/documentation/transforms/java/other/flattenwith/index.html
+++ b/website/generated-content/documentation/transforms/java/other/flattenwith/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>. It allows for the combination of both root
<code>PCollection</code>-producing transforms (like <code>Create</code> and <code>Read</code>) and existing
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 ee07066b297..a1ad5580d1b 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/tee/index.html b/website/generated-content/documentation/transforms/java/other/tee/index.html
index 68d15bb363d..684ca459f00 100644
--- a/website/generated-content/documentation/transforms/java/other/tee/index.html
+++ b/website/generated-content/documentation/transforms/java/other/tee/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>Tee</code> transform allows for splitting the pipeline flow into multiple branches,
enabling the application of side transformations while preserving the main pipeline.
This is similar to the Unix <code>tee</code> command, which duplicates input and sends it to
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 ed446f25516..49f31b7fa74 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 @@
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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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-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 [...]
-</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>longStrings</span> <span class=o>=</span> <span class=n>allStrings</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>Filter</span><span class=o>.</span><span class=na>by</span><span class=o>(</span><span class=k>new</span> <span class=n>SerializableFunction</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Boolean</span><span class=o>>()</span> <span class=o>{</span>
-</span></span><span class=line><span class=cl> <span class=nd>@Override</span>
-</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=n>Boolean</span> <span class=nf>apply</span><span class=o>(</span><span class=n>String</span> <span class=n>input</span><span class=o>)</span> <span class=o>{</span>
-</span></span><span class=line><span class=cl> <span class=k>return</span> <span class=n>input</span><span class=o>.</span><span class=na>length</span><span class=o>()</span> <span class=o>></span> <span class=n>3</span><span class=o>;</span>
+<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>Wait.On</code> returns a <code>PCollection</code> with the contents identical to the input <code>PCollection</code>, but delays the downstream processing until one or more other <code>PCollections</code> (signals) have finished processing. This is useful for enforcing ordering or dependencies between different parts of a pipeline, especially when some outputs interact with external systems (such as writing to a database).</p><p>When you apply <code>Wai [...]
+</span></span><span class=line><span class=cl><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><span class=n>options</span><span class=o>);</span>
+</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>main</span> <span class=o>=</span> <span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"CreateMain"</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><span class=s>"item1"</span [...]
+</span></span><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>Void</span><span class=o>></span> <span class=n>signal</span> <span class=o>=</span> <span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"CreateSignal"</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><span class=s>"trigger"</ [...]
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"ProcessSignal"</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</span> <span class=n>DoFn</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Void</span><span class=o>>()</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=nd>@ProcessElement</span>
+</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kt>void</span> <span class=nf>processElement</span><span class=o>(</span><span class=n>ProcessContext</span> <span class=n>c</span><span class=o>)</span> <span class=kd>throws</span> <span class=n>InterruptedException</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=c1>// Simulate some processing time
+</span></span></span><span class=line><span class=cl><span class=c1></span> <span class=n>Thread</span><span class=o>.</span><span class=na>sleep</span><span class=o>(</span><span class=n>2000</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=c1>// Signal processing complete
+</span></span></span><span class=line><span class=cl><span class=c1></span> <span class=o>}</span>
+</span></span><span class=line><span class=cl><span class=o>}));</span>
+</span></span><span class=line><span class=cl><span class=c1>// Wait for 'signal' to complete before processing 'main'
+</span></span></span><span class=line><span class=cl><span class=c1>// Elements pass through unchanged after 'signal' finishes
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PCollection</span><span class=o><</span><span class=n>String</span><span class=o>></span> <span class=n>processed</span> <span class=o>=</span> <span class=n>main</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"WaitOnSignal"</span><span class=o>,</span> <span class=n>Wait</span><span class=o>.</span><span class=na>on</span><span class=o>(</spa [...]
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"ProcessAfterWait"</span><span class=o>,</span> <span class=n>MapElements</span><span class=o>.</span><span class=na>into</span><span class=o>(</span><span class=n>TypeDescriptors</span><span class=o>.</span><span class=na>strings</span><span class=o>())</span>
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>via</span><span class=o>(</span><span class=n>item</span> <span class=o>-></span> <span class=s>"Processed: "</span> <span class=o>+</span> <span class=n>item</span><span class=o>));</span>
+</span></span><span class=line><span class=cl><span class=n>processed</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"LogResults"</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</span> <span class=n>DoFn</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Void</span><span class=o>>()</span> <span cla [...]
+</span></span><span class=line><span class=cl> <span class=nd>@ProcessElement</span>
+</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kt>void</span> <span class=nf>processElement</span><span class=o>(</span><span class=n>ProcessContext</span> <span class=n>c</span><span class=o>)</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=n>c</span><span class=o>.</span><span class=na>element</span><span class=o>());</span>
+</span></span><span class=line><span class=cl> <span class=o>}</span>
+</span></span><span class=line><span class=cl><span class=o>}));</span></span></span></code></pre></div></div></div><p><strong>Example 2</strong>: Using multiple signals</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></span><span class=line><span class=cl><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><span class=n>options</span><span class=o>);</span>
+</span></span><span class=line><span class=cl><span class=c1>// The PCollection to be processed after the signals.
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PCollection</span><span class=o><</span><span class=n>String</span><span class=o>></span> <span class=n>main2</span> <span class=o>=</span> <span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"CreateMain2"</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><spa [...]
+</span></span><span class=line><span class=cl><span class=c1>// Signal 1: Simulate a long-running setup task.
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PCollection</span><span class=o><</span><span class=n>Void</span><span class=o>></span> <span class=n>signal1</span> <span class=o>=</span> <span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"CreateSignal1"</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><s [...]
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"SetupDatabase"</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</span> <span class=n>DoFn</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Void</span><span class=o>>()</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=nd>@ProcessElement</span>
+</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kt>void</span> <span class=nf>processElement</span><span class=o>(</span><span class=n>ProcessContext</span> <span class=n>c</span><span class=o>)</span> <span class=kd>throws</span> <span class=n>InterruptedException</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=s>"Starting database setup..."</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=n>Thread</span><span class=o>.</span><span class=na>sleep</span><span class=o>(</span><span class=n>1000</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=s>"Database setup complete."</span><span class=o>);</span>
</span></span><span class=line><span class=cl> <span class=o>}</span>
-</span></span><span class=line><span class=cl> <span class=o>}));</span></span></span></code></pre></div></div></div>The result is a <code>PCollection</code> containing “Hello” and “world”.</p><p><strong>Example 2</strong>: Filtering with an inequality</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> [...]
-</span></span><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>Long</span><span class=o>></span> <span class=n>bigNumbers</span> <span class=o>=</span> <span class=n>numbers</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=n>Filter</span><span class=o>.</span><span class=na>greaterThan</span><span class=o>(</span><span class=n>3</span><span class=o>));</span>
-</span></span><span class=line><span class=cl><span class=n>PCollection</span><span class=o><</span><span class=n>Long</span><span class=o>></span> <span class=n>smallNumbers</span> <span class=o>=</span> <span class=n>numbers</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=n>Filter</span><span class=o>.</span><span class=na>lessThanEq</span><span class=o>(</span><span class=n>3</span><span class=o>));</span></span></span></code></pre></div> [...]
-each input it might produce zero or more outputs.</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><div class=feedback><p class=update>Last updated on 2025/07/29</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" t [...]
+</span></span><span class=line><span class=cl> <span class=o>}));</span>
+</span></span><span class=line><span class=cl><span class=c1>// Signal 2: Simulate loading a configuration file.
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PCollection</span><span class=o><</span><span class=n>Void</span><span class=o>></span> <span class=n>signal2</span> <span class=o>=</span> <span class=n>p</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"CreateSignal2"</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><s [...]
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"LoadConfig"</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</span> <span class=n>DoFn</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Void</span><span class=o>>()</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=nd>@ProcessElement</span>
+</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kt>void</span> <span class=nf>processElement</span><span class=o>(</span><span class=n>ProcessContext</span> <span class=n>c</span><span class=o>)</span> <span class=kd>throws</span> <span class=n>InterruptedException</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=s>"Loading configuration..."</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=n>Thread</span><span class=o>.</span><span class=na>sleep</span><span class=o>(</span><span class=n>1500</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=s>"Configuration loaded."</span><span class=o>);</span>
+</span></span><span class=line><span class=cl> <span class=o>}</span>
+</span></span><span class=line><span class=cl> <span class=o>}));</span>
+</span></span><span class=line><span class=cl><span class=c1>// Wait for both signal1 and signal2 to complete before processing main2.
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>PCollection</span><span class=o><</span><span class=n>String</span><span class=o>></span> <span class=n>result2</span> <span class=o>=</span> <span class=n>main2</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"WaitOnSignals"</span><span class=o>,</span> <span class=n>Wait</span><span class=o>.</span><span class=na>on</span><span class=o>(</spa [...]
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"TransformData"</span><span class=o>,</span> <span class=n>MapElements</span><span class=o>.</span><span class=na>into</span><span class=o>(</span><span class=n>TypeDescriptors</span><span class=o>.</span><span class=na>strings</span><span class=o>())</span>
+</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>via</span><span class=o>(</span><span class=n>data</span> <span class=o>-></span> <span class=n>data</span><span class=o>.</span><span class=na>toUpperCase</span><span class=o>()</span> <span class=o>+</span> <span class=s>"_READY"</span><span class=o>));</span>
+</span></span><span class=line><span class=cl><span class=c1>// Log the final results.
+</span></span></span><span class=line><span class=cl><span class=c1></span><span class=n>result2</span><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>"LogResults"</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</span> <span class=n>DoFn</span><span class=o><</span><span class=n>String</span><span class=o>,</span> <span class=n>Void</span><span clas [...]
+</span></span><span class=line><span class=cl> <span class=nd>@ProcessElement</span>
+</span></span><span class=line><span class=cl> <span class=kd>public</span> <span class=kt>void</span> <span class=nf>processElement</span><span class=o>(</span><span class=n>ProcessContext</span> <span class=n>c</span><span class=o>)</span> <span class=o>{</span>
+</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=s>"Final Result: "</span> <span class=o>+</span> <span class=n>c</span><span class=o>.</span><span class=na>element</span><span class=o>());</span>
+</span></span><span class=line><span class=cl> <span class=o>}</span>
+</span></span><span class=line><span class=cl><span class=o>}));</span></span></span></code></pre></div></div></div><h2 id=related-transforms>Related transforms</h2><ul><li><a href=/documentation/transforms/java/other/flatten>Flatten</a> merges multiple <code>PCollection</code> objects into a single logical <code>PCollection</code>.</li><li><a href=/documentation/transforms/java/other/window>Window</a> logically divides or groups elements into finite windows.</li><li><a href=/documentati [...]
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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>
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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 [...]
and updates the implicit timestamp associated with each input. Note that it is only safe to adjust timestamps forwards.</td></tr><tr><td><a href=/documentation/transforms/java/elementwise/values>Values</a></td><td>Extracts the value from each element in a collection of key-value pairs.</td></tr></table><h2 id=aggregation>Aggregation</h2><table class="table-bordered table-striped"><tr><th>Transform</th><th>Description</th></tr><tr><td><a href=/documentation/transforms/java/aggregation/app [...]
consists of a key and all values associated with that key.</td></tr><tr><td><a href=/documentation/transforms/java/aggregation/groupintobatches>GroupIntoBatches</a></td><td>Batches values associated with keys into <code>Iterable</code> batches of some size. Each batch contains elements associated with a specific key.</td></tr><tr><td><a href=/documentation/transforms/java/aggregation/hllcount>HllCount</a></td><td>Estimates the number of distinct elements and creates re-aggregatable sketc [...]
all elements from all of the input collections.</td></tr><tr><td><a href=/documentation/transforms/java/other/passert>PAssert</a></td><td>A transform to assert the contents of a <code>PCollection</code> used as part of testing a pipeline either locally or with a runner.</td></tr><tr><td><a href=/documentation/transforms/java/other/view>View</a></td><td>Operations for turning a collection into view that may be used as a side-input to a <code>ParDo</code>.</td></tr><tr><td><a href=/documen [...]
-windows according to a provided <code>WindowFn</code>.</td></tr></table><div class=feedback><p class=update>Last updated on 2025/07/29</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> [...]
+windows according to a provided <code>WindowFn</code>.</td></tr><tr><td><a href=/documentation/transforms/java/other/wait>Wait</a></td><td>Delays processing of a PCollection until other PCollections have finished processing.</td></tr></table><div class=feedback><p class=update>Last updated on 2025/07/29</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 [...]
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index 1ad11d79a6f..b53fc1ee8eb 100644
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Pydoc</a></td></table><p><br><br><br></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_ApproximateQuantiles data-show=approximatequantiles></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_ApproximateQuantiles%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3 [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2025/07/29</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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Pydoc</a></td></table><p><br><br><br></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_ApproximateUnique data-show=approximateunique></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_ApproximateUnique%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22appro [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2025/07/29</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/batchelements/index.html b/website/generated-content/documentation/transforms/python/aggregation/batchelements/index.html
index c788aafa671..fb7d1297cea 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/batchelements/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/batchelements/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><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_BatchElements data-show=batchelements></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_BatchElements%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22batchelements%22% [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2025/07/29</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/cogroupbykey/index.html b/website/generated-content/documentation/transforms/python/aggregation/cogroupbykey/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>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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@@ -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>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 1746d043186..5f88d9185ab 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(" [...]
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
index a2c455fe359..a7ee1aa3edd 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/combinevalues/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>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
index d78d94464e0..80141764133 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/combinewithcontext/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/combinewithcontext/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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diff --git a/website/generated-content/documentation/transforms/python/aggregation/count/index.html b/website/generated-content/documentation/transforms/python/aggregation/count/index.html
index 26c29ef0d3b..0a2c135dd15 100644
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+++ b/website/generated-content/documentation/transforms/python/aggregation/count/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>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 2025/07/29</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
index f34908b9795..3d77870154a 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/distinct/index.html
@@ -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 2025/07/29</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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+++ b/website/generated-content/documentation/transforms/python/aggregation/groupby/index.html
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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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+++ b/website/generated-content/documentation/transforms/python/aggregation/groupbykey/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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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=playground-wrapper><div class=playgr [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2025/07/29</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/groupintobatches/index.html b/website/generated-content/documentation/transforms/python/aggregation/groupintobatches/index.html
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+++ b/website/generated-content/documentation/transforms/python/aggregation/groupintobatches/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>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 2025/07/29</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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+++ b/website/generated-content/documentation/transforms/python/aggregation/latest/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>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 2025/07/29</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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@@ -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 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 2025/07/29</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
index 52fa8a5bbe7..98cc45b44a7 100644
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+++ b/website/generated-content/documentation/transforms/python/aggregation/mean/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>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 c30990ea8ea..12d184fa4d5 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 2025/07/29</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 07b0ebfe9c3..2a5f8d4a265 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/sample/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/sample/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>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 3722568a809..7a29c05d39b 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 @@
<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>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 2025/07/29</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/tolist/index.html b/website/generated-content/documentation/transforms/python/aggregation/tolist/index.html
index 0898d38cc33..6434d8cafd0 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/tolist/index.html
+++ b/website/generated-content/documentation/transforms/python/aggregation/tolist/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><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_ToList data-show=tolist></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_ToList%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22tolist%22%7d%5d" data-width=100% data- [...]
Pydoc</a></td></table><p><br><br><br></p><div class=feedback><p class=update>Last updated on 2025/07/29</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="https://docs.google.com/forms/d/e/1FAIpQLSfID7abne3GE6k6RdJIyZhPz2Gef7UkpggUEhTIDjjplHuxSA/viewform?usp=header_link" target=_blank>SEND FEEDBACK</a></button></div></div></div><foo [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
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 0fa831416b5..3741578d463 100644
--- a/website/generated-content/documentation/transforms/python/aggregation/top/index.html
+++ b/website/generated-content/documentation/transforms/python/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 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>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-bigtable/index.html b/website/generated-content/documentation/transforms/python/elementwise/enrichment-bigtable/index.html
index 6bbac002a88..72879ea4995 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/enrichment-bigtable/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/enrichment-bigtable/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(" [...]
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>
diff --git a/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html b/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html
index eef2f168668..08a3107409d 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/enrichment-vertexai/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(" [...]
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>
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 433b12a0cca..e846ef6ad3e 100644
--- a/website/generated-content/documentation/transforms/python/elementwise/enrichment/index.html
+++ b/website/generated-content/documentation/transforms/python/elementwise/enrichment/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(" [...]
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></span><span class=line><span class=cl><span class=c1># Enrichment pipeline with Redis cache</span>
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 b640cdf9a55..5a6b7a8c556 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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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
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+++ b/website/generated-content/documentation/transforms/python/elementwise/flatmap/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>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 @@
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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 2025/07/29</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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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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+++ b/website/generated-content/documentation/transforms/python/elementwise/map/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(" [...]
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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+++ b/website/generated-content/documentation/transforms/python/elementwise/mltransform/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></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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@@ -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>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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<a href=https://www.apache.org>The Apache Software Foundation</a>
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diff --git a/website/generated-content/documentation/transforms/python/elementwise/runinference-pytorch/index.html b/website/generated-content/documentation/transforms/python/elementwise/runinference-pytorch/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></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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<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 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 2025/07/29</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
index 423391fd0c5..83c1cd30fa2 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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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 2025/07/29</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
index c8d93587871..d3ad9de5967 100644
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+++ b/website/generated-content/documentation/transforms/python/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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<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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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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+<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></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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+<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></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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Pydoc</a></table><br><br><p>Merges multiple <code>PCollection</code> objects into a single logical
<code>PCollection</code>. It allows for the combination of both root
<code>PCollection</code>-producing transforms (like <code>Create</code> and <code>Read</code>) and existing
diff --git a/website/generated-content/documentation/transforms/python/other/passert/index.html b/website/generated-content/documentation/transforms/python/other/passert/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/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(" [...]
+<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></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/tee/index.html b/website/generated-content/documentation/transforms/python/other/tee/index.html
index d13cfdd97c5..9756db7e4d4 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(" [...]
Pydoc</a></table><br><br><p>The <code>Tee</code> transform allows for splitting the pipeline flow into multiple branches,
enabling the application of side transformations while preserving the main pipeline.
This is similar to the Unix <code>tee</code> command, which duplicates input and sends it to
diff --git a/website/generated-content/documentation/transforms/python/other/view/index.html b/website/generated-content/documentation/transforms/python/other/view/index.html
index 51b1060e722..7570dbc366b 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 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/create/index.html b/website/generated-content/documentation/transforms/python/other/waiton/index.html
similarity index 65%
copy from website/generated-content/documentation/transforms/python/other/create/index.html
copy to website/generated-content/documentation/transforms/python/other/waiton/index.html
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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>Create</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 Langua [...]
+<!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>WaitOn</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 Langua [...]
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<a class=navbar-link href=/get-started/>Get Started</a>
<a class=navbar-link href=/documentation/>Documentation</a>
@@ -20,7 +20,7 @@
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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></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-py playground-snippet" data-sdk=python data-path=SDK_PYTHON_Create data-show=create></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_Create%22%2c%22sdk%22%3a%22python%22%2c%22show%22%3a%22create%22%7d%5d" data- [...]
+<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=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.util</span> <span class=kn>import</span> <span class=n>WaitOn</span>
+</span></span><span class=line><span class=cl>
+</span></span><span class=line><span class=cl><span class=c1># Example 1: Basic usage</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=n>options</span><span class=o>=</span><span class=n>pipeline_options</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>main</span> <span class=o>=</span> <span class=n>p</span> <span class=o>|</span> <span class=s1>'CreateMain'</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=mi>1</span><span class=p>,</span> <span class=mi>2</span><span class=p>,</span> <span class=mi>3</span><span class=p>])</span>
+</span></span><span class=line><span class=cl> <span class=n>signal</span> <span class=o>=</span> <span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>p</span> <span class=o>|</span> <span class=s1>'CreateSignal'</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=s1>'a'</span><span class=p>,</span> <span class=s1>'b'</span><span class=p>])</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s1>'ProcessSignal'</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=k>lambda</span> <span class=n>x</span><span class=p>:</span> <span class=nb>print</span><span class=p>(</span><span class=sa>f</span><span class=s2>"Processing signal element: </span><span class=si>{</span><span class=n>x</span><spa [...]
+</span></span><span class=line><span class=cl> <span class=c1># Wait for 'signal' to complete before processing 'main'</span>
+</span></span><span class=line><span class=cl> <span class=n>result</span> <span class=o>=</span> <span class=n>main</span> <span class=o>|</span> <span class=s1>'WaitOnSignal'</span> <span class=o>>></span> <span class=n>WaitOn</span><span class=p>(</span><span class=n>signal</span><span class=p>)</span>
+</span></span><span class=line><span class=cl> <span class=c1># Print each result to logs.</span>
+</span></span><span class=line><span class=cl> <span class=n>result</span> <span class=o>|</span> <span class=s1>'PrintExample1'</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=k>lambda</span> <span class=n>x</span><span class=p>:</span> <span class=nb>print</span><span class=p>(</span><span class=sa>f</span><span class=s2>"Example 1 Final Output: </span><span class=si>{</span><span [...]
+</span></span><span class=line><span class=cl>
+</span></span><span class=line><span class=cl><span class=c1># Example 2: Using multiple signals</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=n>options</span><span class=o>=</span><span class=n>pipeline_options</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>main</span> <span class=o>=</span> <span class=n>p</span> <span class=o>|</span> <span class=s1>'CreateMain'</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=s1>'item1'</span><span class=p>,</span> <span class=s1>'item2'</span><span class=p>,</span> <span class=s1>'item3'</span><span class=p>])</span>
+</span></span><span class=line><span class=cl> <span class=n>signal1</span> <span class=o>=</span> <span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>p</span> <span class=o>|</span> <span class=s1>'CreateSignal_A'</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=s1>'setup_db'</span><span class=p>])</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s1>'ProcessSignal_A'</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=k>lambda</span> <span class=n>x</span><span class=p>:</span> <span class=nb>print</span><span class=p>(</span><span class=s2>"Signal A: Setting up database..."</span><span class=p>)</span> <span class=ow>or</span> <span class= [...]
+</span></span><span class=line><span class=cl> <span class=n>signal2</span> <span class=o>=</span> <span class=p>(</span>
+</span></span><span class=line><span class=cl> <span class=n>p</span> <span class=o>|</span> <span class=s1>'CreateSignal_B'</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=s1>'load_config'</span><span class=p>])</span>
+</span></span><span class=line><span class=cl> <span class=o>|</span> <span class=s1>'ProcessSignal_B'</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=k>lambda</span> <span class=n>x</span><span class=p>:</span> <span class=nb>print</span><span class=p>(</span><span class=s2>"Signal B: Loading config..."</span><span class=p>)</span> <span class=ow>or</span> <span class=n>tim [...]
+</span></span><span class=line><span class=cl> <span class=c1># Wait for both 'signal1' and 'signal2' to complete before processing 'main'</span>
+</span></span><span class=line><span class=cl> <span class=n>result</span> <span class=o>=</span> <span class=n>main</span> <span class=o>|</span> <span class=s1>'WaitOnSignals'</span> <span class=o>>></span> <span class=n>WaitOn</span><span class=p>(</span><span class=n>signal1</span><span class=p>,</span> <span class=n>signal2</span><span class=p>)</span>
+</span></span><span class=line><span class=cl> <span class=c1># Print each result to logs.</span>
+</span></span><span class=line><span class=cl> <span class=n>result</span> <span class=o>|</span> <span class=s1>'PrintExample2'</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=k>lambda</span> <span class=n>x</span><span class=p>:</span> <span class=nb>print</span><span class=p>(</span><span class=sa>f</span><span class=s2>"Example 2 Final Output: </span><span class=si>{</span><span [...]
+</span></span></code></pre></div><h2 id=related-transforms>Related transforms</h2><ul><li><a href=/documentation/transforms/python/other/flatten>Flatten</a> merges multiple <code>PCollection</code> objects into a single logical <code>PCollection</code>.</li><li><a href=/documentation/transforms/python/other/windowinto>WindowInto</a> logically divides or groups elements into finite windows.</li><li><a href=/documentation/transforms/python/other/reshuffle>Reshuffle</a> redistributes elemen [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
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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
index 311c3bba5e8..000d59202cc 100644
--- a/website/generated-content/documentation/transforms/python/other/windowinto/index.html
+++ b/website/generated-content/documentation/transforms/python/other/windowinto/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></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 787e87c6ff1..ac34343088a 100644
--- a/website/generated-content/documentation/transforms/python/overview/index.html
+++ b/website/generated-content/documentation/transforms/python/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>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(" [...]
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 [...]
@@ -43,7 +43,7 @@ and updates the implicit timestamp associated with each input. Note that it is o
safe to adjust timestamps forwards.</td></tr><tr><td><a href=/documentation/transforms/python/elementwise/values>Values</a></td><td>Extracts the value from each element in a collection of key-value pairs.</td></tr></table><h2 id=aggregation>Aggregation</h2><table class="table-bordered table-striped"><tr><th>Transform</th><th>Description</th></tr><tr><td><a href=/documentation/transforms/python/aggregation/approximatequantiles>ApproximateQuantiles</a></td><td>Given a distribution, find th [...]
all elements from all of the input collections.</td></tr><tr><td><a href=/documentation/transforms/python/other/reshuffle>Reshuffle</a></td><td>Given an input collection, redistributes the elements between workers. This is
most useful for adjusting parallelism or preventing coupled failures.</td></tr><tr><td><a href=/documentation/transforms/python/other/windowinto>WindowInto</a></td><td>Logically divides up or groups the elements of a collection into finite
-windows according to a function.</td></tr></table><div class=feedback><p class=update>Last updated on 2025/07/29</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>< [...]
+windows according to a function.</td></tr><tr><td><a href=/documentation/transforms/python/other/waiton>WaitOn</a></td><td>Delays processing of a PCollection until other PCollections have finished processing.</td></tr></table><div class=feedback><p class=update>Last updated on 2025/07/29</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 [...]
<a href=https://www.apache.org>The Apache Software Foundation</a>
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index fde2a73a257..08858b484cd 100644
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@@ -1 +1 @@
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