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new f94751a Publishing website 2020/08/04 12:01:51 at commit 1bf60b9
f94751a is described below
commit f94751a97e329cb2450d7c52c0b88a156a12adca
Author: jenkins <[email protected]>
AuthorDate: Tue Aug 4 12:01:51 2020 +0000
Publishing website 2020/08/04 12:01:51 at commit 1bf60b9
---
website/generated-content/get-started/index.xml | 30 +++++++++++-----------
.../get-started/quickstart-py/index.html | 9 ++++---
.../get-started/wordcount-example/index.html | 10 +++++---
website/generated-content/sitemap.xml | 2 +-
4 files changed, 27 insertions(+), 24 deletions(-)
diff --git a/website/generated-content/get-started/index.xml
b/website/generated-content/get-started/index.xml
index ec72ad5..4145620 100644
--- a/website/generated-content/get-started/index.xml
+++ b/website/generated-content/get-started/index.xml
@@ -1489,17 +1489,15 @@ environment&rsquo;s directories.</p>
<div class=runner-direct>
<pre><code>python -m apache_beam.examples.wordcount --input
/path/to/inputfile --output /path/to/write/counts</code></pre>
</div>
-<div class=runner-flink-local>
-<pre><code>Currently, running wordcount.py on Flink requires a full
download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-flink for more
information.</code></pre>
-</div>
-<div class=runner-flink-cluster>
-<pre><code>Currently, running wordcount.py on Flink requires a full
download of the Beam source code.
-See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre>
+<div class=runner-flink>
+<pre><code>python -m apache_beam.examples.wordcount --input
/path/to/inputfile \
+--output /path/to/write/counts \
+--runner FlinkRunner</code></pre>
</div>
<div class=runner-spark>
-<pre><code>Currently, running wordcount.py on Spark requires a full
download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-spark for more
information.</code></pre>
+<pre><code>python -m apache_beam.examples.wordcount --input
/path/to/inputfile \
+--output /path/to/write/counts \
+--runner SparkRunner</code></pre>
</div>
<div class=runner-dataflow>
<pre><code># As part of the initial setup, install Google Cloud Platform
specific extra components. Make sure you
@@ -2094,16 +2092,18 @@ You can monitor the running job by visiting the Flink
dashboard at http://&l
<pre><code>python -m apache_beam.examples.wordcount --input
YOUR_INPUT_FILE --output counts</code></pre>
</div>
<div class=runner-flink-local>
-<pre><code>Currently, running wordcount.py on Flink requires a full
download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-flink for more
information.</code></pre>
+<pre><code>python -m apache_beam.examples.wordcount --input
/path/to/inputfile \
+--output /path/to/write/counts \
+--runner FlinkRunner</code></pre>
</div>
<div class=runner-flink-cluster>
-<pre><code>Currently, running wordcount.py on Flink requires a full
download of the Beam source code.
-See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre>
+<pre><code># Running Beam Python on a distributed Flink cluster requires
additional configuration.
+# See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre>
</div>
<div class=runner-spark>
-<pre><code>Currently, running wordcount.py on Spark requires a full
download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-spark for more
information.</code></pre>
+<pre><code>python -m apache_beam.examples.wordcount --input
/path/to/inputfile \
+--output /path/to/write/counts \
+--runner SparkRunner</code></pre>
</div>
<div class=runner-dataflow>
<pre><code># As part of the initial setup, install Google Cloud Platform
specific extra components.
diff --git a/website/generated-content/get-started/quickstart-py/index.html
b/website/generated-content/get-started/quickstart-py/index.html
index 70a73c2..3d79d24 100644
--- a/website/generated-content/get-started/quickstart-py/index.html
+++ b/website/generated-content/get-started/quickstart-py/index.html
@@ -9,10 +9,11 @@ administrative privileges.</p><div
class=shell-unix><pre><code>pip install --upg
<code>setuptools</code> is installed on your machine. If you do not have
<code>setuptools</code>
version 17.1 or newer, run the following command to install it.</p><div
class=shell-unix><pre><code>pip install --upgrade
setuptools</code></pre></div><div class=shell-PowerShell><pre><code>PS>
python -m pip install --upgrade setuptools</code></pre></div><h2
id=get-apache-beam>Get Apache Beam</h2><h3
id=create-and-activate-a-virtual-environment>Create and activate a virtual
environment</h3><p>A virtual environment is a directory tree containing its own
Python distribution. To create a [...]
Activating it sets some environment variables that point to the virtual
-environment’s directories.</p><p>To activate a virtual environment in
Bash, run:</p><div class=shell-unix><pre><code>.
/path/to/directory/bin/activate</code></pre></div><div
class=shell-PowerShell><pre><code>PS>
C:\path\to\directory\Scripts\activate.ps1</code></pre></div><p>That is, execute
the <code>activate</code> script under the virtual environment directory you
created.</p><p>For instructions using other shells, see the <a
href=https://virtualenv.pypa.io/en/stable/userguide [...]
-See https://beam.apache.org/roadmap/portability/#python-on-flink for more
information.</code></pre></div><div
class=runner-flink-cluster><pre><code>Currently, running wordcount.py on Flink
requires a full download of the Beam source code.
-See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre></div><div class=runner-spark><pre><code>Currently,
running wordcount.py on Spark requires a full download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-spark for more
information.</code></pre></div><div class=runner-dataflow><pre><code># As part
of the initial setup, install Google Cloud Platform specific extra components.
Make sure you
+environment’s directories.</p><p>To activate a virtual environment in
Bash, run:</p><div class=shell-unix><pre><code>.
/path/to/directory/bin/activate</code></pre></div><div
class=shell-PowerShell><pre><code>PS>
C:\path\to\directory\Scripts\activate.ps1</code></pre></div><p>That is, execute
the <code>activate</code> script under the virtual environment directory you
created.</p><p>For instructions using other shells, see the <a
href=https://virtualenv.pypa.io/en/stable/userguide [...]
+ --output /path/to/write/counts \
+ --runner
FlinkRunner</code></pre></div><div class=runner-spark><pre><code>python -m
apache_beam.examples.wordcount --input /path/to/inputfile \
+ --output /path/to/write/counts \
+ --runner
SparkRunner</code></pre></div><div class=runner-dataflow><pre><code># As part
of the initial setup, install Google Cloud Platform specific extra components.
Make sure you
# complete the setup steps at /documentation/runners/dataflow/#setup
pip install apache-beam[gcp]
python -m apache_beam.examples.wordcount --input
gs://dataflow-samples/shakespeare/kinglear.txt \
diff --git a/website/generated-content/get-started/wordcount-example/index.html
b/website/generated-content/get-started/wordcount-example/index.html
index a1110b6..acee5f17 100644
--- a/website/generated-content/get-started/wordcount-example/index.html
+++ b/website/generated-content/get-started/wordcount-example/index.html
@@ -114,10 +114,12 @@ You can monitor the running job by visiting the Flink
dashboard at http://<fl
-Dexec.args="--inputFile=pom.xml --output=counts
--runner=SamzaRunner" -Psamza-runner</code></pre></div><div
class=runner-nemo><pre><code>$ mvn package -Pnemo-runner && java -cp
target/word-count-beam-bundled-0.1.jar org.apache.beam.examples.WordCount \
--runner=NemoRunner --inputFile=`pwd`/pom.xml
--output=counts</code></pre></div><div class=runner-jet><pre><code>$ mvn
package -P jet-runner && java -cp
target/word-count-beam-bundled-0.1.jar org.apache.beam.examples.WordCount \
--runner=JetRunner --jetLocalMode=3 --inputFile=`pwd`/pom.xml
--output=counts</code></pre></div><p>To view the full code in Java, see
-<strong><a
href=https://github.com/apache/beam/blob/master/examples/java/src/main/java/org/apache/beam/examples/WordCount.java>WordCount</a>.</strong></p><p><strong>To
run this example in Python:</strong></p><div
class=runner-direct><pre><code>python -m apache_beam.examples.wordcount --input
YOUR_INPUT_FILE --output counts</code></pre></div><div
class=runner-flink-local><pre><code>Currently, running wordcount.py on Flink
requires a full download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-flink for more
information.</code></pre></div><div
class=runner-flink-cluster><pre><code>Currently, running wordcount.py on Flink
requires a full download of the Beam source code.
-See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre></div><div class=runner-spark><pre><code>Currently,
running wordcount.py on Spark requires a full download of the Beam source code.
-See https://beam.apache.org/roadmap/portability/#python-on-spark for more
information.</code></pre></div><div class=runner-dataflow><pre><code># As part
of the initial setup, install Google Cloud Platform specific extra components.
+<strong><a
href=https://github.com/apache/beam/blob/master/examples/java/src/main/java/org/apache/beam/examples/WordCount.java>WordCount</a>.</strong></p><p><strong>To
run this example in Python:</strong></p><div
class=runner-direct><pre><code>python -m apache_beam.examples.wordcount --input
YOUR_INPUT_FILE --output counts</code></pre></div><div
class=runner-flink-local><pre><code>python -m apache_beam.examples.wordcount
--input /path/to/inputfile \
+ --output /path/to/write/counts \
+ --runner
FlinkRunner</code></pre></div><div class=runner-flink-cluster><pre><code>#
Running Beam Python on a distributed Flink cluster requires additional
configuration.
+# See https://beam.apache.org/documentation/runners/flink/ for more
information.</code></pre></div><div class=runner-spark><pre><code>python -m
apache_beam.examples.wordcount --input /path/to/inputfile \
+ --output /path/to/write/counts \
+ --runner
SparkRunner</code></pre></div><div class=runner-dataflow><pre><code># As part
of the initial setup, install Google Cloud Platform specific extra components.
pip install apache-beam[gcp]
python -m apache_beam.examples.wordcount --input
gs://dataflow-samples/shakespeare/kinglear.txt \
--output gs://YOUR_GCS_BUCKET/counts \
diff --git a/website/generated-content/sitemap.xml
b/website/generated-content/sitemap.xml
index 477c005..15e99ca 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>/blog/beam-2.23.0/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/b
[...]
\ 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>/blog/beam-2.23.0/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/b
[...]
\ No newline at end of file
