Java Code Examples for org.apache.flink.api.java.operators.DeltaIteration#registerAggregationConvergenceCriterion()

The following examples show how to use org.apache.flink.api.java.operators.DeltaIteration#registerAggregationConvergenceCriterion() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

Example 1

Source File: AggregatorConvergenceITCase.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testDeltaConnectedComponentsWithParametrizableConvergence() throws Exception {

	// name of the aggregator that checks for convergence
	final String updatedElements = "updated.elements.aggr";

	// the iteration stops if less than this number of elements change value
	final long convergenceThreshold = 3;

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<Long, Long>> initialSolutionSet = env.fromCollection(verticesInput);
	DataSet<Tuple2<Long, Long>> edges = env.fromCollection(edgesInput);

	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
		initialSolutionSet.iterateDelta(initialSolutionSet, 10, 0);

	// register the convergence criterion
	iteration.registerAggregationConvergenceCriterion(updatedElements,
		new LongSumAggregator(), new UpdatedElementsConvergenceCriterion(convergenceThreshold));

	DataSet<Tuple2<Long, Long>> verticesWithNewComponents = iteration.getWorkset().join(edges).where(0).equalTo(0)
		.with(new NeighborWithComponentIDJoin())
		.groupBy(0).min(1);

	DataSet<Tuple2<Long, Long>> updatedComponentId =
		verticesWithNewComponents.join(iteration.getSolutionSet()).where(0).equalTo(0)
			.flatMap(new MinimumIdFilter(updatedElements));

	List<Tuple2<Long, Long>> result = iteration.closeWith(updatedComponentId, updatedComponentId).collect();
	Collections.sort(result, new TestBaseUtils.TupleComparator<Tuple2<Long, Long>>());

	assertEquals(expectedResult, result);
}

Example 2

Source File: AggregatorsITCase.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testConvergenceCriterionWithParameterForIterateDelta() throws Exception {
	/*
	 * Test convergence criterion with parameter for iterate delta
	 */

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(parallelism);

	DataSet<Tuple2<Integer, Integer>> initialSolutionSet = CollectionDataSets.getIntegerDataSet(env).map(new TupleMakerMap());

	DeltaIteration<Tuple2<Integer, Integer>, Tuple2<Integer, Integer>> iteration = initialSolutionSet.iterateDelta(
			initialSolutionSet, MAX_ITERATIONS, 0);

	// register aggregator
	LongSumAggregator aggr = new LongSumAggregator();
	iteration.registerAggregator(NEGATIVE_ELEMENTS_AGGR, aggr);

	// register convergence criterion
	iteration.registerAggregationConvergenceCriterion(NEGATIVE_ELEMENTS_AGGR, aggr,
			new NegativeElementsConvergenceCriterionWithParam(3));

	DataSet<Tuple2<Integer, Integer>> updatedDs = iteration.getWorkset().map(new AggregateAndSubtractOneDelta());

	DataSet<Tuple2<Integer, Integer>> newElements = updatedDs.join(iteration.getSolutionSet())
			.where(0).equalTo(0).projectFirst(0, 1);

	DataSet<Tuple2<Integer, Integer>> iterationRes = iteration.closeWith(newElements, newElements);
	List<Integer> result = iterationRes.map(new ProjectSecondMapper()).collect();
	Collections.sort(result);

	List<Integer> expected = Arrays.asList(-3, -2, -2, -1, -1, -1, 0, 0, 0, 0, 1, 1, 1, 1, 1);

	assertEquals(expected, result);
}

Example 3

Source File: AggregatorConvergenceITCase.java From flink with Apache License 2.0

5 votes

@Test
public void testDeltaConnectedComponentsWithParametrizableConvergence() throws Exception {

	// name of the aggregator that checks for convergence
	final String updatedElements = "updated.elements.aggr";

	// the iteration stops if less than this number of elements change value
	final long convergenceThreshold = 3;

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<Long, Long>> initialSolutionSet = env.fromCollection(verticesInput);
	DataSet<Tuple2<Long, Long>> edges = env.fromCollection(edgesInput);

	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
		initialSolutionSet.iterateDelta(initialSolutionSet, 10, 0);

	// register the convergence criterion
	iteration.registerAggregationConvergenceCriterion(updatedElements,
		new LongSumAggregator(), new UpdatedElementsConvergenceCriterion(convergenceThreshold));

	DataSet<Tuple2<Long, Long>> verticesWithNewComponents = iteration.getWorkset().join(edges).where(0).equalTo(0)
		.with(new NeighborWithComponentIDJoin())
		.groupBy(0).min(1);

	DataSet<Tuple2<Long, Long>> updatedComponentId =
		verticesWithNewComponents.join(iteration.getSolutionSet()).where(0).equalTo(0)
			.flatMap(new MinimumIdFilter(updatedElements));

	List<Tuple2<Long, Long>> result = iteration.closeWith(updatedComponentId, updatedComponentId).collect();
	Collections.sort(result, new TestBaseUtils.TupleComparator<Tuple2<Long, Long>>());

	assertEquals(expectedResult, result);
}

Example 4

Source File: AggregatorsITCase.java From flink with Apache License 2.0

5 votes

@Test
public void testConvergenceCriterionWithParameterForIterateDelta() throws Exception {
	/*
	 * Test convergence criterion with parameter for iterate delta
	 */

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(parallelism);

	DataSet<Tuple2<Integer, Integer>> initialSolutionSet = CollectionDataSets.getIntegerDataSet(env).map(new TupleMakerMap());

	DeltaIteration<Tuple2<Integer, Integer>, Tuple2<Integer, Integer>> iteration = initialSolutionSet.iterateDelta(
			initialSolutionSet, MAX_ITERATIONS, 0);

	// register aggregator
	LongSumAggregator aggr = new LongSumAggregator();
	iteration.registerAggregator(NEGATIVE_ELEMENTS_AGGR, aggr);

	// register convergence criterion
	iteration.registerAggregationConvergenceCriterion(NEGATIVE_ELEMENTS_AGGR, aggr,
			new NegativeElementsConvergenceCriterionWithParam(3));

	DataSet<Tuple2<Integer, Integer>> updatedDs = iteration.getWorkset().map(new AggregateAndSubtractOneDelta());

	DataSet<Tuple2<Integer, Integer>> newElements = updatedDs.join(iteration.getSolutionSet())
			.where(0).equalTo(0).projectFirst(0, 1);

	DataSet<Tuple2<Integer, Integer>> iterationRes = iteration.closeWith(newElements, newElements);
	List<Integer> result = iterationRes.map(new ProjectSecondMapper()).collect();
	Collections.sort(result);

	List<Integer> expected = Arrays.asList(-3, -2, -2, -1, -1, -1, 0, 0, 0, 0, 1, 1, 1, 1, 1);

	assertEquals(expected, result);
}

Example 5

Source File: AggregatorConvergenceITCase.java From flink with Apache License 2.0

5 votes

@Test
public void testDeltaConnectedComponentsWithParametrizableConvergence() throws Exception {

	// name of the aggregator that checks for convergence
	final String updatedElements = "updated.elements.aggr";

	// the iteration stops if less than this number of elements change value
	final long convergenceThreshold = 3;

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<Long, Long>> initialSolutionSet = env.fromCollection(verticesInput);
	DataSet<Tuple2<Long, Long>> edges = env.fromCollection(edgesInput);

	DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
		initialSolutionSet.iterateDelta(initialSolutionSet, 10, 0);

	// register the convergence criterion
	iteration.registerAggregationConvergenceCriterion(updatedElements,
		new LongSumAggregator(), new UpdatedElementsConvergenceCriterion(convergenceThreshold));

	DataSet<Tuple2<Long, Long>> verticesWithNewComponents = iteration.getWorkset().join(edges).where(0).equalTo(0)
		.with(new NeighborWithComponentIDJoin())
		.groupBy(0).min(1);

	DataSet<Tuple2<Long, Long>> updatedComponentId =
		verticesWithNewComponents.join(iteration.getSolutionSet()).where(0).equalTo(0)
			.flatMap(new MinimumIdFilter(updatedElements));

	List<Tuple2<Long, Long>> result = iteration.closeWith(updatedComponentId, updatedComponentId).collect();
	Collections.sort(result, new TestBaseUtils.TupleComparator<Tuple2<Long, Long>>());

	assertEquals(expectedResult, result);
}

Example 6

Source File: AggregatorsITCase.java From flink with Apache License 2.0

5 votes

@Test
public void testConvergenceCriterionWithParameterForIterateDelta() throws Exception {
	/*
	 * Test convergence criterion with parameter for iterate delta
	 */

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(parallelism);

	DataSet<Tuple2<Integer, Integer>> initialSolutionSet = CollectionDataSets.getIntegerDataSet(env).map(new TupleMakerMap());

	DeltaIteration<Tuple2<Integer, Integer>, Tuple2<Integer, Integer>> iteration = initialSolutionSet.iterateDelta(
			initialSolutionSet, MAX_ITERATIONS, 0);

	// register aggregator
	LongSumAggregator aggr = new LongSumAggregator();
	iteration.registerAggregator(NEGATIVE_ELEMENTS_AGGR, aggr);

	// register convergence criterion
	iteration.registerAggregationConvergenceCriterion(NEGATIVE_ELEMENTS_AGGR, aggr,
			new NegativeElementsConvergenceCriterionWithParam(3));

	DataSet<Tuple2<Integer, Integer>> updatedDs = iteration.getWorkset().map(new AggregateAndSubtractOneDelta());

	DataSet<Tuple2<Integer, Integer>> newElements = updatedDs.join(iteration.getSolutionSet())
			.where(0).equalTo(0).projectFirst(0, 1);

	DataSet<Tuple2<Integer, Integer>> iterationRes = iteration.closeWith(newElements, newElements);
	List<Integer> result = iterationRes.map(new ProjectSecondMapper()).collect();
	Collections.sort(result);

	List<Integer> expected = Arrays.asList(-3, -2, -2, -1, -1, -1, 0, 0, 0, 0, 1, 1, 1, 1, 1);

	assertEquals(expected, result);
}