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The following commit(s) were added to refs/heads/asf-site by this push: 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>