How to use

aggregate

method

in

storm.trident.Stream

public Stream aggregate(CombinerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(ReducerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(Aggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public static StormTopology buildTopology(LocalDRPC drpc) {
  TridentTopology topology = new TridentTopology();
  TridentState urlToTweeters = topology.newStaticState(new StaticSingleKeyMapState.Factory(TWEETERS_DB));
  TridentState tweetersToFollowers = topology.newStaticState(new StaticSingleKeyMapState.Factory(FOLLOWERS_DB));
  
  topology.newDRPCStream("reach", drpc)
      .stateQuery(urlToTweeters, new Fields("args"), new MapGet(), new Fields("tweeters"))
      .each(new Fields("tweeters"), new ExpandList(), new Fields("tweeter")).shuffle()
      .stateQuery(tweetersToFollowers, new Fields("tweeter"), new MapGet(), new Fields("followers"))
      .each(new Fields("followers"), new ExpandList(), new Fields("follower")).groupBy(new Fields("follower"))
      .aggregate(new One(), new Fields("one")).aggregate(new Fields("one"), new Sum(), new Fields("reach"));
  return topology.build();
}

public static StormTopology buildTopology(LocalDRPC drpc) {
  FixedBatchSpout spout = new FixedBatchSpout(new Fields("word"), 3, new Values("the cow jumped over the moon"),
      new Values("the man went to the store and bought some candy"),
      new Values("four score and seven years ago"), new Values("how many apples can you eat"),
      new Values("to be or not to be the person"));
  spout.setCycle(true);
  
  TridentTopology topology = new TridentTopology();
  TridentState wordCounts = topology.newStream("spout1", spout).parallelismHint(16).flatMap(split).map(toUpper)
      .filter(theFilter).peek(new Consumer() {
        @Override
        public void accept(TridentTuple input) {
          System.out.println(input.getString(0));
        }
      }).groupBy(new Fields("word"))
      .persistentAggregate(new MemoryMapState.Factory(), new Count(), new Fields("count"))
      .parallelismHint(16);
      
  topology.newDRPCStream("words", drpc).flatMap(split).groupBy(new Fields("args"))
      .stateQuery(wordCounts, new Fields("args"), new MapGet(), new Fields("count")).filter(new FilterNull())
      .aggregate(new Fields("count"), new Sum(), new Fields("sum"));
  return topology.build();
}

public static StormTopology buildTopology(LocalDRPC drpc) {
  FixedBatchSpout spout = new FixedBatchSpout(new Fields("sentence"), 3,
      new Values("the cow jumped over the moon"),
      new Values("the man went to the store and bought some candy"),
      new Values("four score and seven years ago"), new Values("how many apples can you eat"),
      new Values("to be or not to be the person"));
  spout.setCycle(true);
  
  TridentTopology topology = new TridentTopology();
  TridentState wordCounts = topology.newStream("spout1", spout).parallelismHint(16)
      .each(new Fields("sentence"), new Split(), new Fields("word")).groupBy(new Fields("word"))
      .persistentAggregate(new MemoryMapState.Factory(), new Count(), new Fields("count"))
      .parallelismHint(16);
      
  topology.newDRPCStream("words", drpc).each(new Fields("args"), new Split(), new Fields("word"))
      .groupBy(new Fields("word"))
      .stateQuery(wordCounts, new Fields("word"), new MapGet(), new Fields("count"))
      .each(new Fields("count"), new FilterNull())
      .aggregate(new Fields("count"), new Sum(), new Fields("sum"));
  return topology.build();
}

public Stream aggregate(ReducerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(ReducerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(CombinerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(Aggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(CombinerAggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public Stream aggregate(Aggregator agg, Fields functionFields) {
  return aggregate(null, agg, functionFields);
}

public static StormTopology buildTopology(LocalDRPC drpc) throws IOException {
  FakeTweetsBatchSpout spout = new FakeTweetsBatchSpout(100);
  TridentTopology topology = new TridentTopology();
  topology.newStream("spout", spout)
    .aggregate(new Fields("location"), new LocationAggregator(), new Fields("location_counts"))
    .each(new Fields("location_counts"), new Utils.PrintFilter());
  
  return topology.build();
}

      combinerAggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      combinerAggregator, new Fields(outputFields));
      new Fields(inputFields), combinerAggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      new Fields(inputFields), combinerAggregator, new Fields(outputFields));
      reducerAggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      reducerAggregator, new Fields(outputFields));
      new Fields(inputFields), reducerAggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      new Fields(inputFields), reducerAggregator, new Fields(outputFields));
      aggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      aggregator, new Fields(outputFields));
      new Fields(inputFields), aggregator, new Fields(outputFields));
} else {
  stream = stream.aggregate(
      new Fields(inputFields), aggregator, new Fields(outputFields));

public StormTopology buildTopology(LocalDRPC drpc) {
  TridentKafkaConfig kafkaConfig = new TridentKafkaConfig(brokerHosts, "storm-sentence", "storm");
  kafkaConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
  TransactionalTridentKafkaSpout kafkaSpout = new TransactionalTridentKafkaSpout(kafkaConfig);
  TridentTopology topology = new TridentTopology();
  TridentState wordCounts = topology.newStream("kafka", kafkaSpout).shuffle().
      each(new Fields("str"), new WordSplit(), new Fields("word")).
      groupBy(new Fields("word")).
      persistentAggregate(new HazelCastStateFactory(), new Count(), new Fields("aggregates_words")).parallelismHint(2);
  topology.newDRPCStream("words", drpc)
      .each(new Fields("args"), new Split(), new Fields("word"))
      .groupBy(new Fields("word"))
      .stateQuery(wordCounts, new Fields("word"), new MapGet(), new Fields("count"))
      .each(new Fields("count"), new FilterNull())
      .aggregate(new Fields("count"), new Sum(), new Fields("sum"));
  return topology.build();
}

public static StormTopology buildTopology(TransactionalTridentKafkaSpout spout) throws IOException {
  TridentTopology topology = new TridentTopology();
  TridentState count =
  topology
      .newStream("tweets", spout)
      .each(new Fields("str"), new ParseTweet(), new Fields("text", "content", "user"))
      .project(new Fields("content", "user"))
      .each(new Fields("content"), new OnlyHashtags())
      .each(new Fields("user"), new OnlyEnglish())
      .each(new Fields("content", "user"), new ExtractFollowerClassAndContentName(), new Fields("followerClass", "contentName"))
      .groupBy(new Fields("followerClass", "contentName"))
      .persistentAggregate(new MemoryMapState.Factory(), new Count(), new Fields("count"))
  ;
  topology
      .newDRPCStream("top_hashtags")
      .stateQuery(count, new TupleCollectionGet(), new Fields("followerClass", "contentName"))
      .stateQuery(count, new Fields("followerClass", "contentName"), new MapGet(), new Fields("count"))
      .aggregate(new Fields("contentName", "count"), new FirstN.FirstNSortedAgg(5,"count", true), new Fields("contentName", "count"))
  ;
  return topology.build();
}

.stateQuery(countState, new Fields("actor"), new MapGet(), new Fields("individual_count"))
.each(new Fields("individual_count"), new FilterNull())
.aggregate(new Fields("individual_count"), new Sum(), new Fields("count"));

public static StormTopology buildTopology(LocalDRPC drpc, StateFactory state) {
  FixedBatchSpout spout = new FixedBatchSpout(new Fields("sentence"), 3,
      new Values("the cow jumped over the moon"), 
      new Values("the man went to the store and bought some candy"),
      new Values("four score and seven years ago"), 
      new Values("how many apples can you eat"), 
      new Values("to be or not to be the person"));
  spout.setCycle(true);
  TridentTopology topology = new TridentTopology();
  TridentState wordCounts = topology.newStream("spout1", spout)
      .each(new Fields("sentence"), new Split(), new Fields("word"))
      .groupBy(new Fields("word"))
      .persistentAggregate(state, new Count(), new Fields("count"))
      .parallelismHint(6);
  topology.newDRPCStream("words", drpc)
      .each(new Fields("args"), new Split(), new Fields("word"))
      .groupBy(new Fields("word"))
      .stateQuery(wordCounts, new Fields("word"), new MapGet(),
          new Fields("count"))
      .each(new Fields("count"), new FilterNull())
      .aggregate(new Fields("count"), new Sum(), new Fields("sum"));
  return topology.build();
}

.aggregate(new Fields("location"), new StringCounter(), new Fields("aggregated_result"))
.parallelismHint(3)

.aggregate(new Fields("location"), new LocationAggregator(), new Fields("aggregated_result"))
.parallelismHint(5).each(new Fields("aggregated_result"), new Utils.PrintFilter());