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From dhalp...@apache.org
Subject [14/51] [abbrv] [partial] beam-site git commit: regenerate the website
Date Wed, 17 May 2017 02:36:35 GMT
http://git-wip-us.apache.org/repos/asf/beam-site/blob/c196579f/content/documentation/sdks/javadoc/2.0.0/org/apache/beam/runners/spark/TestSparkPipelineOptions.DefaultStopPipelineWatermarkFactory.html
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diff --git a/content/documentation/sdks/javadoc/2.0.0/org/apache/beam/runners/spark/TestSparkPipelineOptions.html b/content/documentation/sdks/javadoc/2.0.0/org/apache/beam/runners/spark/TestSparkPipelineOptions.html
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+<div class="subTitle">org.apache.beam.runners.spark</div>
+<h2 title="Class TestSparkRunner" class="title">Class TestSparkRunner</h2>
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+<li>java.lang.Object</li>
+<li>
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+<ul class="inheritance">
+<li>org.apache.beam.runners.spark.TestSparkRunner</li>
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+<div class="block">The SparkRunner translate operations defined on a pipeline to a representation executable
+ by Spark, and then submitting the job to Spark to be executed. If we wanted to run a Beam
+ pipeline with the default options of a single threaded spark instance in local mode, we would do
+ the following:
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+ <code>Pipeline p = [logic for pipeline creation]
+ SparkPipelineResult result = (SparkPipelineResult) p.run();
+ </code>
+
+ <p>To create a pipeline runner to run against a different spark cluster, with a custom master url
+ we would do the following:
+
+ <code>Pipeline p = [logic for pipeline creation]
+ SparkPipelineOptions options = SparkPipelineOptionsFactory.create();
+ options.setSparkMaster("spark://host:port");
+ SparkPipelineResult result = (SparkPipelineResult) p.run();
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http://git-wip-us.apache.org/repos/asf/beam-site/blob/c196579f/content/documentation/sdks/javadoc/2.0.0/org/apache/beam/runners/spark/aggregators/AggAccumParam.html
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+<ul class="inheritance">
+<li>java.lang.Object</li>
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+<li>org.apache.spark.streaming.api.java.JavaStreamingListener</li>
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+<li>org.apache.beam.runners.spark.aggregators.AggregatorsAccumulator.AccumulatorCheckpointingSparkListener</li>
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