Examples with FlatMapFunc edu.iu.dsc.tws.api.tset.fn.FlatMapFunc used on opensource projects

Example 1 with FlatMapFunc

use of edu.iu.dsc.tws.api.tset.fn.FlatMapFunc in project twister2 by DSC-SPIDAL.

the class FullGraphRunExample method execute.

@Override
public void execute(WorkerEnvironment workerEnv) {
    BatchEnvironment env = TSetEnvironment.initBatch(workerEnv);
    SourceTSet<Integer> src = dummySource(env, COUNT, PARALLELISM);
    src.direct().flatmap((FlatMapFunc<Integer, Object>) (integer, collector) -> LOG.info("dir= " + integer));
    src.reduce(Integer::sum).flatmap((FlatMapFunc<Integer, Object>) (integer, collector) -> LOG.info("red= " + integer));
// env.run();
}

Example 2 with FlatMapFunc

use of edu.iu.dsc.tws.api.tset.fn.FlatMapFunc in project twister2 by DSC-SPIDAL.

the class FileBasedWordCount method execute.

@Override
public void execute(WorkerEnvironment workerEnv) {
    BatchEnvironment env = TSetEnvironment.initBatch(workerEnv);
    int sourcePar = (int) env.getConfig().get("PAR");
    // read the file line by line by using a single worker
    SourceTSet<String> lines = env.createSource(new WordCountFileSource(), 1);
    // distribute the lines among the workers and performs a flatmap operation to extract words
    ComputeTSet<String> words = lines.partition(new HashingPartitioner<>(), sourcePar).flatmap((FlatMapFunc<String, String>) (l, collector) -> {
        StringTokenizer itr = new StringTokenizer(l);
        while (itr.hasMoreTokens()) {
            collector.collect(itr.nextToken());
        }
    });
    // attach count as 1 for each word
    KeyedTSet<String, Integer> groupedWords = words.mapToTuple(w -> new Tuple<>(w, 1));
    // performs reduce by key at each worker
    KeyedReduceTLink<String, Integer> keyedReduce = groupedWords.keyedReduce(Integer::sum);
    // gather the results to worker0 (there is a dummy map op here to pass the values to edges)
    // and write to a file
    keyedReduce.map(i -> i).gather().forEach(new WordcountFileWriter());
}