Package org.apache.flink.streaming.api.environment

Examples of org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute()

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    DataStream<String> stream = env.fromElements(WordCountData.WORDS).map(new IdentityMap());

    stream.print();

    env.execute();
  }
}
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    @SuppressWarnings("unused")
    DataStream<String> stream2 = env
      .addSource(new MySource())
      .addSink(new MyKafkaSink("test", "localhost:9092"));

    env.execute();
  }
}
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    it.closeWith(step.select("iterate"));
   
    step.select("output").project(1).types(Integer.class).print();

    env.execute();
  }
}
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        .groupBy(0)
        .sum(1);

    dataStream.print();

    env.execute();
  }
}
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    DataStream<Tuple5<Long, Integer, String, String, String>> selectedDataStream = streamSource
        .flatMap(new SelectDataFlatMap());

    selectedDataStream.addSink(new TwitterSink());

    env.execute();
  }
}
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    DataStream<Integer> prediction = env.addSource(new NewDataSource(), SOURCE_PARALLELISM)
        .connect(model).map(new Predictor());

    prediction.print();

    env.execute();
  }



}
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    } else {
      counts.print();
    }

    // execute program
    env.execute("Streaming WordCount");
  }

  // *************************************************************************
  // USER FUNCTIONS
  // *************************************************************************
 
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        .flatMap(new JoinTask());
   
    System.out.println("(NAME, GRADE, SALARY)");
    joinedStream.print();

    env.execute();

  }
}
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    // emit result
    dataStream.print();

    // execute program
    env.execute();
  }
 
  // *************************************************************************
  // USER FUNCTIONS
  // *************************************************************************
 
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    @SuppressWarnings("unused")
    DataStream<String> dataStream2 = env.fromElements("one", "two", "three", "four", "five",
        "q").addSink(new MyFlumeSink("localhost", 42424));

    env.execute();
  }
}
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