This is an automated email from the ASF dual-hosted git repository.

git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/beam.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new bedaa17  Publishing website 2020/04/07 00:13:44 at commit 64e69d6
bedaa17 is described below

commit bedaa173236e3c61af5698665f705525675e6811
Author: jenkins <bui...@apache.org>
AuthorDate: Tue Apr 7 00:13:44 2020 +0000

    Publishing website 2020/04/07 00:13:44 at commit 64e69d6
---
 website/generated-content/contribute/release-guide/index.html      | 2 ++
 .../generated-content/documentation/runners/dataflow/index.html    | 7 +++++++
 .../documentation/runtime/environments/index.html                  | 1 +
 .../documentation/sdks/java/testing/nexmark/index.html             | 2 ++
 .../documentation/sdks/python-streaming/index.html                 | 1 +
 website/generated-content/get-started/quickstart-java/index.html   | 2 ++
 website/generated-content/get-started/quickstart-py/index.html     | 1 +
 website/generated-content/get-started/wordcount-example/index.html | 6 ++++++
 8 files changed, 22 insertions(+)

diff --git a/website/generated-content/contribute/release-guide/index.html 
b/website/generated-content/contribute/release-guide/index.html
index 7b59edd..7a328b8 100644
--- a/website/generated-content/contribute/release-guide/index.html
+++ b/website/generated-content/contribute/release-guide/index.html
@@ -1764,6 +1764,7 @@ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.complete.game.in
       <li>Run Leaderboard with Dataflow Runner
         <div class="highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>python -m 
apache_beam.examples.complete.game.leader_board \ 
 --project=${YOUR_PROJECT} \ 
+--region=${GCE_REGION} \
 --topic projects/${YOUR_PROJECT}/topics/${YOUR_PUBSUB_TOPIC} \ 
 --dataset ${USER}_test \ 
 --runner DataflowRunner \ 
@@ -1796,6 +1797,7 @@ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.complete.game.in
       <li>Run GameStats with Dataflow Runner
         <div class="highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>python -m apache_beam.examples.complete.game.game_stats 
\ 
 --project=${YOUR_PROJECT} \ 
+--region=${GCE_REGION} \
 --topic projects/${YOUR_PROJECT}/topics/${YOUR_PUBSUB_TOPIC} \ 
 --dataset ${USER}_test \ 
 --runner DataflowRunner \ 
diff --git 
a/website/generated-content/documentation/runners/dataflow/index.html 
b/website/generated-content/documentation/runners/dataflow/index.html
index 4b09933..f03602d 100644
--- a/website/generated-content/documentation/runners/dataflow/index.html
+++ b/website/generated-content/documentation/runners/dataflow/index.html
@@ -329,6 +329,7 @@ Pub/Sub, or Cloud Datastore) if you use them in your 
pipeline code.</li>
 <div class="language-java highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code><span class="n">java</span> <span 
class="o">-</span><span class="n">jar</span> <span class="n">target</span><span 
class="o">/</span><span class="n">beam</span><span class="o">-</span><span 
class="n">examples</span><span class="o">-</span><span 
class="n">bundled</span><span class="o">-</span><span 
class="mf">1.0</span><span class="o">.</span><span class="mi">0</span><span 
class="o">.</span><sp [...]
   <span class="o">--</span><span class="n">runner</span><span 
class="o">=</span><span class="n">DataflowRunner</span> <span 
class="err">\</span>
   <span class="o">--</span><span class="n">project</span><span 
class="o">=&lt;</span><span class="n">YOUR_GCP_PROJECT_ID</span><span 
class="o">&gt;</span> <span class="err">\</span>
+  <span class="o">--</span><span class="n">region</span><span 
class="o">=&lt;</span><span class="n">GCP_REGION</span><span 
class="o">&gt;</span> <span class="err">\</span>
   <span class="o">--</span><span class="n">tempLocation</span><span 
class="o">=</span><span class="nl">gs:</span><span 
class="c1">//&lt;YOUR_GCS_BUCKET&gt;/temp/</span>
 </code></pre></div></div>
 
@@ -357,6 +358,12 @@ Pub/Sub, or Cloud Datastore) if you use them in your 
pipeline code.</li>
 </tr>
 
 <tr>
+  <td><code>region</code></td>
+  <td>The Google Compute Engine region to create the job.</td>
+  <td>If not set, defaults to the default region in the current environment. 
The default region is set via <code>gcloud</code>.</td>
+</tr>
+
+<tr>
   <td><code>streaming</code></td>
   <td>Whether streaming mode is enabled or disabled; <code>true</code> if 
enabled. Set to <code>true</code> if running pipelines with unbounded 
<code>PCollection</code>s.</td>
   <td><code>false</code></td>
diff --git 
a/website/generated-content/documentation/runtime/environments/index.html 
b/website/generated-content/documentation/runtime/environments/index.html
index d8a305a..a258575 100644
--- a/website/generated-content/documentation/runtime/environments/index.html
+++ b/website/generated-content/documentation/runtime/environments/index.html
@@ -593,6 +593,7 @@ python -m apache_beam.examples.wordcount \
 --output=/path/to/write/counts \
 --runner=DataflowRunner \
 --project={gcp_project_id} \
+--region={gce_region_id} \
 --temp_location={gcs_location} \ \
 --experiment=beam_fn_api \
 
--sdk_location=[…]/beam/sdks/python/container/py{version}/build/target/apache-beam.tar.gz
 \
diff --git 
a/website/generated-content/documentation/sdks/java/testing/nexmark/index.html 
b/website/generated-content/documentation/sdks/java/testing/nexmark/index.html
index 23ae5ac..6ee03d5 100644
--- 
a/website/generated-content/documentation/sdks/java/testing/nexmark/index.html
+++ 
b/website/generated-content/documentation/sdks/java/testing/nexmark/index.html
@@ -567,6 +567,7 @@ or may be published to Pub/Sub or Kafka.</p>
 <div class="highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>--manageResources=false --monitorJobs=true \
 --enforceEncodability=false --enforceImmutability=false
 --project=&lt;your project&gt; \
+--region=&lt;your region&gt; \
 --zone=&lt;your zone&gt; \
 --workerMachineType=n1-highmem-8 \
 --stagingLocation=gs://&lt;a gs path for staging&gt; \
@@ -1006,6 +1007,7 @@ PUBSUB_TOPCI=&lt;existing pubsub topic&gt;
         --manageResources=false
         --monitorJobs=true
         --project=${PROJECT}
+        --region=${REGION}
         --zone=${ZONE}
         --workerMachineType=n1-highmem-8
         --stagingLocation=${STAGING_LOCATION}
diff --git 
a/website/generated-content/documentation/sdks/python-streaming/index.html 
b/website/generated-content/documentation/sdks/python-streaming/index.html
index fb91438..e780d2c 100644
--- a/website/generated-content/documentation/sdks/python-streaming/index.html
+++ b/website/generated-content/documentation/sdks/python-streaming/index.html
@@ -440,6 +440,7 @@ pip install apache-beam[gcp]
 python -m apache_beam.examples.streaming_wordcount \
   --runner DataflowRunner \
   --project YOUR_GCP_PROJECT \
+  --region YOUR_GCP_REGION \
   --temp_location gs://YOUR_GCS_BUCKET/tmp/ \
   --input_topic "projects/YOUR_PUBSUB_PROJECT_NAME/topics/YOUR_INPUT_TOPIC" \
   --output_topic "projects/YOUR_PUBSUB_PROJECT_NAME/topics/YOUR_OUTPUT_TOPIC" \
diff --git a/website/generated-content/get-started/quickstart-java/index.html 
b/website/generated-content/get-started/quickstart-java/index.html
index ea57914..980ec01 100644
--- a/website/generated-content/get-started/quickstart-java/index.html
+++ b/website/generated-content/get-started/quickstart-java/index.html
@@ -373,6 +373,7 @@ You can monitor the running job by visiting the Flink 
dashboard at http://&lt;fl
 
 $ mvn compile exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount \
      -Dexec.args="--runner=DataflowRunner --project=&lt;your-gcp-project&gt; \
+                  --region=&lt;your-gcp-region&gt; \
                   --gcpTempLocation=gs://&lt;your-gcs-bucket&gt;/tmp \
                   --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://&lt;your-gcs-bucket&gt;/counts" \
      -Pdataflow-runner
@@ -420,6 +421,7 @@ You can monitor the running job by visiting the Flink 
dashboard at http://&lt;fl
 
 PS&gt; mvn compile exec:java -D 
exec.mainClass=org.apache.beam.examples.WordCount `
  -D exec.args="--runner=DataflowRunner --project=&lt;your-gcp-project&gt; `
+               --region=&lt;your-gcp-region&gt; \
                --gcpTempLocation=gs://&lt;your-gcs-bucket&gt;/tmp `
                --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://&lt;your-gcs-bucket&gt;/counts" `
  -P dataflow-runner
diff --git a/website/generated-content/get-started/quickstart-py/index.html 
b/website/generated-content/get-started/quickstart-py/index.html
index 735e687..771c01c 100644
--- a/website/generated-content/get-started/quickstart-py/index.html
+++ b/website/generated-content/get-started/quickstart-py/index.html
@@ -422,6 +422,7 @@ python -m apache_beam.examples.wordcount --input 
gs://dataflow-samples/shakespea
                                          --output 
gs://&lt;your-gcs-bucket&gt;/counts \
                                          --runner DataflowRunner \
                                          --project your-gcp-project \
+                                         --region your-gcp-region \
                                          --temp_location 
gs://&lt;your-gcs-bucket&gt;/tmp/
 </code></pre></div></div>
 
diff --git a/website/generated-content/get-started/wordcount-example/index.html 
b/website/generated-content/get-started/wordcount-example/index.html
index b2aff3d..3049c1d 100644
--- a/website/generated-content/get-started/wordcount-example/index.html
+++ b/website/generated-content/get-started/wordcount-example/index.html
@@ -619,6 +619,7 @@ You can monitor the running job by visiting the Flink 
dashboard at http://&lt;fl
 
 <div class="runner-dataflow highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>$ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.WordCount \
      -Dexec.args="--runner=DataflowRunner 
--gcpTempLocation=gs://YOUR_GCS_BUCKET/tmp \
+                  --project=YOUR_PROJECT --region=GCE_REGION \
                   --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://YOUR_GCS_BUCKET/counts" \
      -Pdataflow-runner
 </code></pre></div></div>
@@ -664,6 +665,7 @@ python -m apache_beam.examples.wordcount --input 
gs://dataflow-samples/shakespea
                                          --output gs://YOUR_GCS_BUCKET/counts \
                                          --runner DataflowRunner \
                                          --project YOUR_GCP_PROJECT \
+                                         --region YOUR_GCP_REGION \
                                          --temp_location 
gs://YOUR_GCS_BUCKET/tmp/
 </code></pre></div></div>
 
@@ -938,6 +940,7 @@ You can monitor the running job by visiting the Flink 
dashboard at http://&lt;fl
 
 <div class="runner-dataflow highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>$ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.DebuggingWordCount \
    -Dexec.args="--runner=DataflowRunner 
--gcpTempLocation=gs://&lt;your-gcs-bucket&gt;/tmp \
+                --project=YOUR_PROJECT --region=GCE_REGION \
                 --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://&lt;your-gcs-bucket&gt;/counts" \
      -Pdataflow-runner
 </code></pre></div></div>
@@ -1274,6 +1277,7 @@ You can monitor the running job by visiting the Flink 
dashboard at http://&lt;fl
 
 <div class="runner-dataflow highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code>$ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.WindowedWordCount \
    -Dexec.args="--runner=DataflowRunner 
--gcpTempLocation=gs://YOUR_GCS_BUCKET/tmp \
+                --project=YOUR_PROJECT --region=GCE_REGION \
                 --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://YOUR_GCS_BUCKET/counts" \
      -Pdataflow-runner
 </code></pre></div></div>
@@ -1320,6 +1324,7 @@ python -m apache_beam.examples.windowed_wordcount --input 
YOUR_INPUT_FILE \
                                          --output_table PROJECT:DATASET.TABLE \
                                          --runner DataflowRunner \
                                          --project YOUR_GCP_PROJECT \
+                                         --region YOUR_GCP_REGION \
                                          --temp_location 
gs://YOUR_GCS_BUCKET/tmp/
 </code></pre></div></div>
 
@@ -1595,6 +1600,7 @@ pip install apache-beam[gcp]
 python -m apache_beam.examples.streaming_wordcount \
   --runner DataflowRunner \
   --project YOUR_GCP_PROJECT \
+  --region YOUR_GCP_REGION \
   --temp_location gs://YOUR_GCS_BUCKET/tmp/ \
   --input_topic "projects/YOUR_PUBSUB_PROJECT_NAME/topics/YOUR_INPUT_TOPIC" \
   --output_topic "projects/YOUR_PUBSUB_PROJECT_NAME/topics/YOUR_OUTPUT_TOPIC" \

Reply via email to