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     new c5900e791fa Publishing website 2022/11/14 22:17:16 at commit 2adb68b
c5900e791fa is described below

commit c5900e791fa2edde71ab7085a6827aa489289bab
Author: jenkins <bui...@apache.org>
AuthorDate: Mon Nov 14 22:17:16 2022 +0000

    Publishing website 2022/11/14 22:17:16 at commit 2adb68b
---
 .../sdks/java-multi-language-pipelines/index.html              | 10 ++++++----
 website/generated-content/sitemap.xml                          |  2 +-
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git 
a/website/generated-content/documentation/sdks/java-multi-language-pipelines/index.html
 
b/website/generated-content/documentation/sdks/java-multi-language-pipelines/index.html
index 620a91e00dd..1df683e5e74 100644
--- 
a/website/generated-content/documentation/sdks/java-multi-language-pipelines/index.html
+++ 
b/website/generated-content/documentation/sdks/java-multi-language-pipelines/index.html
@@ -36,7 +36,8 @@ version 2.41.0 or later installed, and a Python environment. 
If you don’t
 already have these environments set up, first complete the
 <a href=/get-started/quickstart-java/>Apache Beam Java SDK Quickstart</a> and 
the
 <a href=/get-started/quickstart-py/>Apache Beam Python SDK 
Quickstart</a>.</p><p>For running with portable DirectRunner, you need to have 
Docker installed
-locally and the Docker daemon should be running. This is not needed for 
Dataflow.</p><p>This example relies on Python pandas package 1.4.0 or later 
which is unavailable
+locally and the Docker daemon should be running. This is not needed for 
Dataflow.</p><p>For running on Dataflow, you need a Google Cloud project with 
billing enabled and a
+<a href=https://cloud.google.com/storage/docs/creating-buckets>Google Cloud 
Storage bucket</a>.</p><p>This example relies on Python pandas package 1.4.0 or 
later which is unavailable
 for Python versions earlier than 3.8. Hence please make sure that the default 
Python
 version installed in your system is 3.8 or later.</p><h2 
id=specify-a-cross-language-transform>Specify a cross-language 
transform</h2><p>The Java example pipeline uses the Python
 <a 
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/dataframe/transforms.py>DataframeTransform</a>
@@ -50,7 +51,7 @@ transforms are identified by their fully qualified name. For 
example,
 package, so its fully qualified name is
 <code>apache_beam.dataframe.transforms.DataframeTransform</code>.
 The example pipeline,
-<a 
href=https://github.com/apache/beam/blob/master/examples/multi-language/src/main/java/org/apache/beam/examples/multilanguage/PythonDataframeWordCount.java>PythonDataframeWordCount</a>,
+<a 
href=https://github.com/apache/beam/blob/master/examples/java/src/main/java/org/apache/beam/examples/multilanguage/PythonDataframeWordCount.java>PythonDataframeWordCount</a>,
 passes this fully qualified name to
 <a 
href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/extensions/python/PythonExternalTransform.html>PythonExternalTransform</a>.</p><blockquote><p><strong>Note:</strong>
 The example pipeline is intended to demonstrate the development of
 Java multi-language pipelines that use arbitrary Python cross-language
@@ -96,7 +97,8 @@ a function to <code>DataframeTransform</code>, see
 <a 
href=/documentation/dsls/dataframes/overview/#embedding-dataframes-in-a-pipeline>Embedding
 DataFrames in a pipeline</a>.</p><h2 id=run-the-java-pipeline>Run the Java 
pipeline</h2><p>If you want to customize the environment or use transforms not 
available in the
 default Beam SDK, you might need to run your own expansion service. In such
 cases, <a href=#advanced-start-an-expansion-service>start the expansion 
service</a>
-before running your pipeline.</p><h3 
id=run-with-dataflow-runner-at-head-beam-2410-and-later>Run with Dataflow 
runner at HEAD (Beam 2.41.0 and 
later)</h3><blockquote><p><strong>Note:</strong> Due to <a 
href=https://github.com/apache/beam/issues/23717>issue#23717</a>,
+before running your pipeline.</p><p>Before running the pipeline, make sure to 
perform the
+<a 
href=https://beam.apache.org/get-started/quickstart-java/#run-a-pipeline>runner 
specific setup</a> for your selected Beam runner.</p><h3 
id=run-with-dataflow-runner-at-head-beam-2410-and-later>Run with Dataflow 
runner at HEAD (Beam 2.41.0 and 
later)</h3><blockquote><p><strong>Note:</strong> Due to <a 
href=https://github.com/apache/beam/issues/23717>issue#23717</a>,
 Beam 2.42.0 requires manually starting up an expansion service (see
 <a 
href=https://beam.apache.org/documentation/sdks/java-multi-language-pipelines/#advanced-start-an-expansion-service>these
 instructions</a>)
 and using the additional pipeline option 
<code>--expansionService=localhost:&lt;PORT></code>
@@ -146,7 +148,7 @@ or use transforms not available in the default Beam SDK, 
you might need to run
 your own expansion service.</p><p>For example, to start the standard expansion 
service for a Python transform,
 <a 
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/portability/expansion_service.py>ExpansionServiceServicer</a>,
 follow these steps:</p><ol><li><p>Activate a new virtual environment following
-<a 
href=https://beam.apache.org/get-started/quickstart-py/#create-and-activate-a-virtual-environment>these
 instructions</a>.</p></li><li><p>Install Apache Beam with <code>gcp</code> and 
<code>dataframe</code> packages.</p></li></ol><pre><code>pip install 
apache-beam[gcp,dataframe]
+<a 
href=https://beam.apache.org/get-started/quickstart-py/#create-and-activate-a-virtual-environment>these
 instructions</a>.</p></li><li><p>Install Apache Beam with <code>gcp</code> and 
<code>dataframe</code> packages.</p></li></ol><pre><code>pip install 
'apache-beam[gcp,dataframe]'
 </code></pre><ol start=4><li>Run the following 
command</li></ol><pre><code>python -m 
apache_beam.runners.portability.expansion_service_main -p &lt;PORT&gt; 
--fully_qualified_name_glob &quot;*&quot;
 </code></pre><p>The command runs
 <a 
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/portability/expansion_service_main.py>expansion_service_main.py</a>,
 which starts the standard expansion service. When you use
diff --git a/website/generated-content/sitemap.xml 
b/website/generated-content/sitemap.xml
index 0c7c6b8ecf7..824ab20c02d 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/categories/blog/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/blog/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/categories/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/blog/ml-resources/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/categ
 [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/categories/blog/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/blog/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/categories/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/blog/ml-resources/</loc><lastmod>2022-11-10T17:26:15-05:00</lastmod></url><url><loc>/categ
 [...]
\ No newline at end of file

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