Package storm.trident

Examples of storm.trident.Stream

25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
                new Values("the man went to the store and bought some candy", 2l), new Values("four score and seven years ago", 3l),
                new Values("how many apples can you eat", 4l), new Values("to be or not to be the person", 5l));
        spout.setCycle(true);

        TridentTopology topology = new TridentTopology();
        Stream stream = topology.newStream("spout1", spout);

        Fields hdfsFields = new Fields("sentence", "key");

        FileNameFormat fileNameFormat = new DefaultFileNameFormat()
                .withPath("/trident")
                .withPrefix("trident")
                .withExtension(".txt");

        RecordFormat recordFormat = new DelimitedRecordFormat()
                .withFields(hdfsFields);

        FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, FileSizeRotationPolicy.Units.MB);

        HdfsState.Options options = new HdfsState.HdfsFileOptions()
                .withFileNameFormat(fileNameFormat)
                .withRecordFormat(recordFormat)
                .withRotationPolicy(rotationPolicy)
                .withFsUrl(hdfsUrl);

        StateFactory factory = new HdfsStateFactory().withOptions(options);

        TridentState state = stream
                .partitionPersist(factory, hdfsFields, new HdfsUpdater(), new Fields());

        return topology.build();
    }
View Full Code Here
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
                new Values("the man went to the store and bought some candy", 2l), new Values("four score and seven years ago", 3l),
                new Values("how many apples can you eat", 4l), new Values("to be or not to be the person", 5l));
        spout.setCycle(true);

        TridentTopology topology = new TridentTopology();
        Stream stream = topology.newStream("spout1", spout);

        Fields hdfsFields = new Fields("sentence", "key");

        FileNameFormat fileNameFormat = new DefaultFileNameFormat()
                .withPath("/trident")
                .withPrefix("trident")
                .withExtension(".seq");

        FileRotationPolicy rotationPolicy = new FileSizeRotationPolicy(5.0f, FileSizeRotationPolicy.Units.MB);

        HdfsState.Options seqOpts = new HdfsState.SequenceFileOptions()
                .withFileNameFormat(fileNameFormat)
                .withSequenceFormat(new DefaultSequenceFormat("key", "sentence"))
                .withRotationPolicy(rotationPolicy)
                .withFsUrl(hdfsUrl)
                .addRotationAction(new MoveFileAction().toDestination("/dest2/"));

        StateFactory factory = new HdfsStateFactory().withOptions(seqOpts);

        TridentState state = stream
                .partitionPersist(factory, hdfsFields, new HdfsUpdater(), new Fields());

        return topology.build();
    }
View Full Code Here
47
48
49
50
51
52
53
54
55
56
57
58
59
60
                new Values("javadoc", "1")
        );
        spout.setCycle(true);

        TridentTopology topology = new TridentTopology();
        Stream stream = topology.newStream("spout1", spout);

        TridentKafkaStateFactory stateFactory = new TridentKafkaStateFactory()
                .withKafkaTopicSelector(new DefaultTopicSelector("test"))
                .withTridentTupleToKafkaMapper(new FieldNameBasedTupleToKafkaMapper("word", "count"));
        stream.partitionPersist(stateFactory, fields, new TridentKafkaUpdater(), new Fields());

        return topology.build();
    }
View Full Code Here
70
71
72
73
74
75
76
77
78
79
80
81
82
83
                .withTableName("WordCount");

        StateFactory factory = new HBaseStateFactory(options);

        TridentTopology topology = new TridentTopology();
        Stream stream = topology.newStream("spout1", spout);

        stream.partitionPersist(factory, fields,  new HBaseUpdater(), new Fields());

        TridentState state = topology.newStaticState(factory);
        stream = stream.stateQuery(state, new Fields("word"), new HBaseQuery(), new Fields("columnName","columnValue"));
        stream.each(new Fields("word","columnValue"), new PrintFunction(), new Fields());
        return topology.build();
    }
View Full Code Here
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
      MemoryMapState.Factory perceptronModelStateFactory = new MemoryMapState.Factory();
      TridentState perceptronModel = toppology.newStaticState(perceptronModelStateFactory);
      TridentState perceptronEvaluation = toppology.newStaticState(evaluationStateFactory);

      // Predict
      Stream predictionStream = toppology.newStream("nandsamples", new NANDSpout()) //
          .stateQuery(perceptronModel, new Fields("instance"), new ClassifyQuery<Boolean>("perceptron"), new Fields("prediction"));

      // Update evaluation
      predictionStream //
          .persistentAggregate(evaluationStateFactory, new Fields("instance", "prediction"), new AccuracyAggregator<Boolean>(), new Fields("accuracy"));

      // Update model
      predictionStream.partitionPersist(perceptronModelStateFactory, new Fields("instance"), new ClassifierUpdater<Boolean>("perceptron", new PerceptronClassifier()));

      // Classification stream
      toppology.newDRPCStream("predict", localDRPC)
      // convert DRPC args to instance
          .each(new Fields("args"), new DRPCArgsToInstance(), new Fields("instance"))
View Full Code Here
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
        /**
         * First, grab the tweets stream. We're going to use it in two different places
         * and then, we'll going to join them.
         *
         */
        Stream contents = topology
                .newStream("tweets", spout)
                .each(new Fields("str"), new ParseTweet(), new Fields("text", "content", "user"));

        /**
         * Now, let's select and project only hashtags for each tweet.
         * This stream is basically a list of couples (tweetId, hashtag).
         *
         */
        Stream hashtags = contents
                .each(new Fields("content"), new OnlyHashtags())
                .each(new Fields("content"), new TweetIdExtractor(), new Fields("tweetId"))
                .each(new Fields("content"), new GetContentName(), new Fields("hashtag"))
                .project(new Fields("hashtag", "tweetId"));
                //.each(new Fields("content", "tweetId"), new DebugFilter());

        /**
         * And let's do the same for urls, obtaining a stream of couples
         * like (tweetId, url).
         *
         */
        Stream urls = contents
                .each(new Fields("content"), new OnlyUrls())
                .each(new Fields("content"), new TweetIdExtractor(), new Fields("tweetId"))
                .each(new Fields("content"), new GetContentName(), new Fields("url"))
                .project(new Fields("url", "tweetId"));
                //.each(new Fields("content", "tweetId"), new DebugFilter());
View Full Code Here
133
134
135
136
137
138
139
140
        return stateQuery(state, null, function, functionFields);
    }
   
    @Override
    public IAggregatableStream each(Fields inputFields, Function function, Fields functionFields) {
        Stream s = _stream.each(inputFields, function, functionFields);
        return new GroupedStream(s, _groupFields);
    }
View Full Code Here
142
143
144
145
146
147
148
149
    @Override
    public IAggregatableStream partitionAggregate(Fields inputFields, Aggregator agg, Fields functionFields) {
        Aggregator groupedAgg = new GroupedAggregator(agg, _groupFields, inputFields, functionFields.size());
        Fields allInFields = TridentUtils.fieldsUnion(_groupFields, inputFields);
        Fields allOutFields = TridentUtils.fieldsConcat(_groupFields, functionFields);
        Stream s = _stream.partitionAggregate(allInFields, groupedAgg, allOutFields);
        return new GroupedStream(s, _groupFields);
    }
View Full Code Here
116
117
118
119
120
121
122
123
        return stateQuery(state, null, function, functionFields);
    }
   
    @Override
    public IAggregatableStream each(Fields inputFields, Function function, Fields functionFields) {
        Stream s = _stream.each(inputFields, function, functionFields);
        return new GroupedStream(s, _groupFields);
    }
View Full Code Here
125
126
127
128
129
130
131
132
    @Override
    public IAggregatableStream partitionAggregate(Fields inputFields, Aggregator agg, Fields functionFields) {
        Aggregator groupedAgg = new GroupedAggregator(agg, _groupFields, inputFields, functionFields.size());
        Fields allInFields = TridentUtils.fieldsUnion(_groupFields, inputFields);
        Fields allOutFields = TridentUtils.fieldsConcat(_groupFields, functionFields);
        Stream s = _stream.partitionAggregate(allInFields, groupedAgg, allOutFields);
        return new GroupedStream(s, _groupFields);
    }
View Full Code Here
TOP

Related Classes of storm.trident.Stream

  • backtype.storm.generated.NullStruct
  • backtype.storm.tuple.Fields
  • com.github.pmerienne.trident.ml.evaluation.EvaluationUpdaterTridentIntegrationTest
  • org.apache.storm.hbase.trident.WordCountTrident
  • org.apache.storm.hdfs.trident.TridentFileTopology
  • org.apache.storm.hdfs.trident.TridentSequenceTopology
  • storm.kafka.TridentKafkaTopology
  • storm.trident.fluent.ChainedAggregatorDeclarer
  • storm.trident.fluent.GroupedStream
  • storm.trident.operation.impl.CombinerAggStateUpdater
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.