Package backtype.storm

Examples of backtype.storm.LocalDRPC.execute()

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      cluster.submitTopology("testStandardScaler", new Config(), toppology.build());

      Thread.sleep(8000);

      double mean0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"MEAN\"]]"));
      double mean1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"MEAN\"]]"));
      double variance0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"VARIANCE\"]]"));
      double variance1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"VARIANCE\"]]"));

      assertEquals(0.0, mean0, 0.1);
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      cluster.submitTopology("testStandardScaler", new Config(), toppology.build());

      Thread.sleep(8000);

      double mean0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"MEAN\"]]"));
      double mean1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"MEAN\"]]"));
      double variance0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"VARIANCE\"]]"));
      double variance1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"VARIANCE\"]]"));

      assertEquals(0.0, mean0, 0.1);
      assertEquals(0.0, mean1, 0.1);
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      Thread.sleep(8000);

      double mean0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"MEAN\"]]"));
      double mean1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"MEAN\"]]"));
      double variance0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"VARIANCE\"]]"));
      double variance1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"VARIANCE\"]]"));

      assertEquals(0.0, mean0, 0.1);
      assertEquals(0.0, mean1, 0.1);
      assertEquals(1.0, variance0, 0.1);
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      Thread.sleep(8000);

      double mean0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"MEAN\"]]"));
      double mean1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"MEAN\"]]"));
      double variance0 = extractDouble(localDRPC.execute("queryStats", "[[0, \"VARIANCE\"]]"));
      double variance1 = extractDouble(localDRPC.execute("queryStats", "[[1, \"VARIANCE\"]]"));

      assertEquals(0.0, mean0, 0.1);
      assertEquals(0.0, mean1, 0.1);
      assertEquals(1.0, variance0, 0.1);
      assertEquals(1.0, variance1, 0.1);
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          .stateQuery(perceptronModel, new Fields("instance"), new ClassifyQuery<Boolean>("perceptron"), new Fields("prediction")).project(new Fields("prediction"));
      cluster.submitTopology(this.getClass().getSimpleName(), new Config(), toppology.build());

      Thread.sleep(4000);

      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 0.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 1.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 0.0")));
      assertEquals(Boolean.FALSE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 1.0")));
    } finally {
      cluster.shutdown();
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      cluster.submitTopology(this.getClass().getSimpleName(), new Config(), toppology.build());

      Thread.sleep(4000);

      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 0.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 1.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 0.0")));
      assertEquals(Boolean.FALSE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 1.0")));
    } finally {
      cluster.shutdown();
      localDRPC.shutdown();
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      Thread.sleep(4000);

      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 0.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 1.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 0.0")));
      assertEquals(Boolean.FALSE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 1.0")));
    } finally {
      cluster.shutdown();
      localDRPC.shutdown();
    }
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      Thread.sleep(4000);

      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 0.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 0.0 1.0")));
      assertEquals(Boolean.TRUE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 0.0")));
      assertEquals(Boolean.FALSE, extractPrediction(localDRPC.execute("predict", "1.0 1.0 1.0")));
    } finally {
      cluster.shutdown();
      localDRPC.shutdown();
    }
  }
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            LocalCluster cluster = new LocalCluster();
            cluster.submitTopology("reach-drpc", conf, builder.createLocalTopology(drpc));
           
            String[] urlsToTry = new String[] { "foo.com/blog/1", "engineering.twitter.com/blog/5", "notaurl.com"};
            for(String url: urlsToTry) {
                System.out.println("Reach of " + url + ": " + drpc.execute("reach", url));
            }
           
            cluster.shutdown();
            drpc.shutdown();
        } else {
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            cluster.submitTopology("drpc-demo", conf, builder.createLocalTopology(drpc));

            for(String word: new String[] {"hello", "goodbye"}) {
                System.out.println("Result for \"" + word + "\": "
                        + drpc.execute("exclamation", word));
            }
           
            cluster.shutdown();
            drpc.shutdown();
        } else {
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