Java源码示例:org.apache.flink.examples.java.graph.ConnectedComponents.DuplicateValue

示例1
@Override
protected void testProgram() throws Exception {

	// set up execution environment
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// read vertex and edge data
	DataSet<Long> vertices = env.fromElements(ConnectedComponentsData.getEnumeratingVertices(NUM_VERTICES).split("\n"))
			.map(new VertexParser());

	DataSet<Tuple2<Long, Long>> edges = env.fromElements(ConnectedComponentsData.getRandomOddEvenEdges(NUM_EDGES, NUM_VERTICES, SEED).split("\n"))
			.flatMap(new EdgeParser());

	// assign the initial components (equal to the vertex id)
	DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>());

	// open a delta iteration
	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
			verticesWithInitialId.iterateDelta(verticesWithInitialId, 100, 0);

	// apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller
	DataSet<Tuple2<Long, Long>> changes = iteration
			.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin())
			.coGroup(iteration.getSolutionSet()).where(0).equalTo(0)
			.with(new MinIdAndUpdate());

	// close the delta iteration (delta and new workset are identical)
	DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes);

	// emit result
	List<Tuple2<Long, Long>> resutTuples = new ArrayList<>();
	result.output(new LocalCollectionOutputFormat<>(resutTuples));

	env.execute();
}
 
示例2
@Override
protected void testProgram() throws Exception {

	// set up execution environment
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// read vertex and edge data
	DataSet<Long> vertices = env.fromElements(ConnectedComponentsData.getEnumeratingVertices(NUM_VERTICES).split("\n"))
			.map(new VertexParser());

	DataSet<Tuple2<Long, Long>> edges = env.fromElements(ConnectedComponentsData.getRandomOddEvenEdges(NUM_EDGES, NUM_VERTICES, SEED).split("\n"))
			.flatMap(new EdgeParser());

	// assign the initial components (equal to the vertex id)
	DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>());

	// open a delta iteration
	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
			verticesWithInitialId.iterateDelta(verticesWithInitialId, 100, 0);

	// apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller
	DataSet<Tuple2<Long, Long>> changes = iteration
			.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin())
			.coGroup(iteration.getSolutionSet()).where(0).equalTo(0)
			.with(new MinIdAndUpdate());

	// close the delta iteration (delta and new workset are identical)
	DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes);

	// emit result
	List<Tuple2<Long, Long>> resutTuples = new ArrayList<>();
	result.output(new LocalCollectionOutputFormat<>(resutTuples));

	env.execute();
}
 
示例3
@Override
protected void testProgram() throws Exception {

	// set up execution environment
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// read vertex and edge data
	DataSet<Long> vertices = env.fromElements(ConnectedComponentsData.getEnumeratingVertices(NUM_VERTICES).split("\n"))
			.map(new VertexParser());

	DataSet<Tuple2<Long, Long>> edges = env.fromElements(ConnectedComponentsData.getRandomOddEvenEdges(NUM_EDGES, NUM_VERTICES, SEED).split("\n"))
			.flatMap(new EdgeParser());

	// assign the initial components (equal to the vertex id)
	DataSet<Tuple2<Long, Long>> verticesWithInitialId = vertices.map(new DuplicateValue<Long>());

	// open a delta iteration
	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
			verticesWithInitialId.iterateDelta(verticesWithInitialId, 100, 0);

	// apply the step logic: join with the edges, select the minimum neighbor, update if the component of the candidate is smaller
	DataSet<Tuple2<Long, Long>> changes = iteration
			.getWorkset().join(edges).where(0).equalTo(0).with(new NeighborWithComponentIDJoin())
			.coGroup(iteration.getSolutionSet()).where(0).equalTo(0)
			.with(new MinIdAndUpdate());

	// close the delta iteration (delta and new workset are identical)
	DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes);

	// emit result
	List<Tuple2<Long, Long>> resutTuples = new ArrayList<>();
	result.output(new LocalCollectionOutputFormat<>(resutTuples));

	env.execute();
}