use of edu.iu.dsc.tws.tset.links.batch.ReduceTLink in project twister2 by DSC-SPIDAL.
the class ReduceExample method execute.
@Override
public void execute(WorkerEnvironment workerEnv) {
BatchEnvironment env = TSetEnvironment.initBatch(workerEnv);
int start = env.getWorkerID() * 100;
SourceTSet<Integer> src = dummySource(env, start, COUNT, PARALLELISM);
ReduceTLink<Integer> reduce = src.reduce(Integer::sum);
LOG.info("test foreach");
reduce.forEach(i -> LOG.info("foreach: " + i));
LOG.info("test map");
reduce.map(i -> i.toString() + "$$").withSchema(PrimitiveSchemas.STRING).direct().forEach(s -> LOG.info("map: " + s));
LOG.info("test flat map");
reduce.flatmap((i, c) -> c.collect(i.toString() + "##")).withSchema(PrimitiveSchemas.STRING).direct().forEach(s -> LOG.info("flat:" + s));
LOG.info("test compute");
reduce.compute((ComputeFunc<Integer, String>) input -> "sum=" + input).withSchema(PrimitiveSchemas.STRING).direct().forEach(s -> LOG.info("compute: " + s));
LOG.info("test computec");
reduce.compute((ComputeCollectorFunc<Integer, String>) (input, output) -> output.collect("sum=" + input)).withSchema(PrimitiveSchemas.STRING).direct().forEach(s -> LOG.info("computec: " + s));
LOG.info("test map2tup");
reduce.mapToTuple(i -> new Tuple<>(i, i.toString())).keyedDirect().forEach(i -> LOG.info("mapToTuple: " + i.toString()));
LOG.info("test sink");
SinkTSet<Integer> sink = reduce.sink((SinkFunc<Integer>) value -> {
LOG.info("val =" + value);
return true;
});
env.run(sink);
}
use of edu.iu.dsc.tws.tset.links.batch.ReduceTLink in project twister2 by DSC-SPIDAL.
the class HelloTSet method execute.
@Override
public void execute(WorkerEnvironment workerEnv) {
BatchEnvironment env = TSetEnvironment.initBatch(workerEnv);
LOG.info("Strating Hello TSet Example");
int para = env.getConfig().getIntegerValue("para", 4);
SourceTSet<int[]> source = env.createSource(new SourceFunc<int[]>() {
private int count = 0;
@Override
public boolean hasNext() {
return count < para;
}
@Override
public int[] next() {
count++;
return new int[] { 1, 1, 1 };
}
}, para).setName("source");
PartitionTLink<int[]> partitioned = source.partition(new LoadBalancePartitioner<>());
ComputeTSet<int[]> mapedPartition = partitioned.map((MapFunc<int[], int[]>) input -> Arrays.stream(input).map(a -> a * 2).toArray());
ReduceTLink<int[]> reduce = mapedPartition.reduce((t1, t2) -> {
int[] ret = new int[t1.length];
for (int i = 0; i < t1.length; i++) {
ret[i] = t1[i] + t2[i];
}
return ret;
});
SinkTSet<int[]> sink = reduce.sink(value -> {
LOG.info("Results " + Arrays.toString(value));
return false;
});
env.run(sink);
LOG.info("Ending Hello TSet Example");
}
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