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new c80924b Publishing website 2019/08/16 10:33:48 at commit b134e67
c80924b is described below
commit c80924b1cd205a3f746b9c02a4c228597e0a37aa
Author: jenkins <bui...@apache.org>
AuthorDate: Fri Aug 16 10:33:49 2019 +0000
Publishing website 2019/08/16 10:33:48 at commit b134e67
---
website/generated-content/roadmap/portability/index.html | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/website/generated-content/roadmap/portability/index.html
b/website/generated-content/roadmap/portability/index.html
index 01737d2..cde03f4 100644
--- a/website/generated-content/roadmap/portability/index.html
+++ b/website/generated-content/roadmap/portability/index.html
@@ -402,10 +402,10 @@ for details.</p>
<ol>
<li>Run once to build the SDK harness container: <code
class="highlighter-rouge">./gradlew :sdks:python:container:docker</code></li>
<li>Start the Flink portable JobService endpoint: <code
class="highlighter-rouge">./gradlew
:runners:flink:1.5:job-server:runShadow</code></li>
- <li>In a new terminal, submit the wordcount pipeline to above endpoint:
<code class="highlighter-rouge">./gradlew :sdks:python:portableWordCount
-PjobEndpoint=localhost:8099 -PenvironmentType=LOOPBACK</code></li>
+ <li>In a new terminal, submit the wordcount pipeline to above endpoint:
<code class="highlighter-rouge">./gradlew portableWordCount
-PjobEndpoint=localhost:8099 -PenvironmentType=LOOPBACK</code></li>
</ol>
-<p>To run the pipeline in streaming mode: <code
class="highlighter-rouge">./gradlew :sdks:python:portableWordCount
-PjobEndpoint=localhost:8099 -Pstreaming</code></p>
+<p>To run the pipeline in streaming mode: <code
class="highlighter-rouge">./gradlew portableWordCount
-PjobEndpoint=localhost:8099 -Pstreaming</code></p>
<p>Please see the <a href="/documentation/runners/flink/">Flink Runner
page</a> for more information on
how to run portable pipelines on top of Flink.</p>
@@ -417,7 +417,7 @@ how to run portable pipelines on top of Flink.</p>
<ol>
<li>Run once to build the SDK harness container: <code
class="highlighter-rouge">./gradlew :sdks:python:container:docker</code></li>
<li>Start the Spark portable JobService endpoint: <code
class="highlighter-rouge">./gradlew
:runners:spark:job-server:runShadow</code></li>
- <li>In a new terminal, submit the wordcount pipeline to above endpoint:
<code class="highlighter-rouge">./gradlew :sdks:python:portableWordCount
-PjobEndpoint=localhost:8099 -PenvironmentType=LOOPBACK</code></li>
+ <li>In a new terminal, submit the wordcount pipeline to above endpoint:
<code class="highlighter-rouge">./gradlew portableWordCount
-PjobEndpoint=localhost:8099 -PenvironmentType=LOOPBACK</code></li>
</ol>
<p>Python streaming mode is not yet supported on Spark.</p>
