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Example 1 with Tuple3ToEdgeMap

use of org.apache.flink.graph.utils.Tuple3ToEdgeMap in project flink by apache.

the class GSACompilerTest method testGSACompiler.

@Test
public void testGSACompiler() {
    try {
        ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(DEFAULT_PARALLELISM);
        // compose test program
        {
            DataSet<Edge<Long, NullValue>> edges = env.fromElements(new Tuple3<>(1L, 2L, NullValue.getInstance())).map(new Tuple3ToEdgeMap<Long, NullValue>());
            Graph<Long, Long, NullValue> graph = Graph.fromDataSet(edges, new InitVertices(), env);
            DataSet<Vertex<Long, Long>> result = graph.runGatherSumApplyIteration(new GatherNeighborIds(), new SelectMinId(), new UpdateComponentId(), 100).getVertices();
            result.output(new DiscardingOutputFormat<Vertex<Long, Long>>());
        }
        Plan p = env.createProgramPlan("GSA Connected Components");
        OptimizedPlan op = compileNoStats(p);
        // check the sink
        SinkPlanNode sink = op.getDataSinks().iterator().next();
        assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
        assertEquals(DEFAULT_PARALLELISM, sink.getParallelism());
        assertEquals(PartitioningProperty.HASH_PARTITIONED, sink.getGlobalProperties().getPartitioning());
        // check the iteration
        WorksetIterationPlanNode iteration = (WorksetIterationPlanNode) sink.getInput().getSource();
        assertEquals(DEFAULT_PARALLELISM, iteration.getParallelism());
        // check the solution set join and the delta
        PlanNode ssDelta = iteration.getSolutionSetDeltaPlanNode();
        // this is only true if the update function preserves the partitioning
        assertTrue(ssDelta instanceof DualInputPlanNode);
        DualInputPlanNode ssJoin = (DualInputPlanNode) ssDelta;
        assertEquals(DEFAULT_PARALLELISM, ssJoin.getParallelism());
        assertEquals(ShipStrategyType.PARTITION_HASH, ssJoin.getInput1().getShipStrategy());
        assertEquals(new FieldList(0), ssJoin.getInput1().getShipStrategyKeys());
        // check the workset set join
        SingleInputPlanNode sumReducer = (SingleInputPlanNode) ssJoin.getInput1().getSource();
        SingleInputPlanNode gatherMapper = (SingleInputPlanNode) sumReducer.getInput().getSource();
        DualInputPlanNode edgeJoin = (DualInputPlanNode) gatherMapper.getInput().getSource();
        assertEquals(DEFAULT_PARALLELISM, edgeJoin.getParallelism());
        // input1 is the workset
        assertEquals(ShipStrategyType.FORWARD, edgeJoin.getInput1().getShipStrategy());
        // input2 is the edges
        assertEquals(ShipStrategyType.PARTITION_HASH, edgeJoin.getInput2().getShipStrategy());
        assertTrue(edgeJoin.getInput2().getTempMode().isCached());
        assertEquals(new FieldList(0), edgeJoin.getInput2().getShipStrategyKeys());
    } catch (Exception e) {
        System.err.println(e.getMessage());
        e.printStackTrace();
        fail(e.getMessage());
    }
}
Also used : ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) DataSet(org.apache.flink.api.java.DataSet) WorksetIterationPlanNode(org.apache.flink.optimizer.plan.WorksetIterationPlanNode) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) DiscardingOutputFormat(org.apache.flink.api.java.io.DiscardingOutputFormat) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) FieldList(org.apache.flink.api.common.operators.util.FieldList) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) SingleInputPlanNode(org.apache.flink.optimizer.plan.SingleInputPlanNode) NullValue(org.apache.flink.types.NullValue) Graph(org.apache.flink.graph.Graph) WorksetIterationPlanNode(org.apache.flink.optimizer.plan.WorksetIterationPlanNode) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) PlanNode(org.apache.flink.optimizer.plan.PlanNode) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) SingleInputPlanNode(org.apache.flink.optimizer.plan.SingleInputPlanNode) Tuple3ToEdgeMap(org.apache.flink.graph.utils.Tuple3ToEdgeMap) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) Test(org.junit.Test)

Example 2 with Tuple3ToEdgeMap

use of org.apache.flink.graph.utils.Tuple3ToEdgeMap in project flink by apache.

the class GSATranslationTest method testTranslation.

@Test
public void testTranslation() {
    try {
        final String ITERATION_NAME = "Test Name";
        final String AGGREGATOR_NAME = "AggregatorName";
        final String BC_SET_GATHER_NAME = "gather messages";
        final String BC_SET_SUM_NAME = "sum updates";
        final String BC_SET_APLLY_NAME = "apply updates";
        final int NUM_ITERATIONS = 13;
        final int ITERATION_parallelism = 77;
        ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<Long> bcGather = env.fromElements(1L);
        DataSet<Long> bcSum = env.fromElements(1L);
        DataSet<Long> bcApply = env.fromElements(1L);
        DataSet<Vertex<Long, Long>> result;
        // ------------ construct the test program ------------------
        {
            DataSet<Edge<Long, NullValue>> edges = env.fromElements(new Tuple3<>(1L, 2L, NullValue.getInstance())).map(new Tuple3ToEdgeMap<Long, NullValue>());
            Graph<Long, Long, NullValue> graph = Graph.fromDataSet(edges, new InitVertices(), env);
            GSAConfiguration parameters = new GSAConfiguration();
            parameters.registerAggregator(AGGREGATOR_NAME, new LongSumAggregator());
            parameters.setName(ITERATION_NAME);
            parameters.setParallelism(ITERATION_parallelism);
            parameters.addBroadcastSetForGatherFunction(BC_SET_GATHER_NAME, bcGather);
            parameters.addBroadcastSetForSumFunction(BC_SET_SUM_NAME, bcSum);
            parameters.addBroadcastSetForApplyFunction(BC_SET_APLLY_NAME, bcApply);
            result = graph.runGatherSumApplyIteration(new GatherNeighborIds(), new SelectMinId(), new UpdateComponentId(), NUM_ITERATIONS, parameters).getVertices();
            result.output(new DiscardingOutputFormat<Vertex<Long, Long>>());
        }
        // ------------- validate the java program ----------------
        assertTrue(result instanceof DeltaIterationResultSet);
        DeltaIterationResultSet<?, ?> resultSet = (DeltaIterationResultSet<?, ?>) result;
        DeltaIteration<?, ?> iteration = resultSet.getIterationHead();
        // check the basic iteration properties
        assertEquals(NUM_ITERATIONS, resultSet.getMaxIterations());
        assertArrayEquals(new int[] { 0 }, resultSet.getKeyPositions());
        assertEquals(ITERATION_parallelism, iteration.getParallelism());
        assertEquals(ITERATION_NAME, iteration.getName());
        assertEquals(AGGREGATOR_NAME, iteration.getAggregators().getAllRegisteredAggregators().iterator().next().getName());
        // validate that the semantic properties are set as they should
        TwoInputUdfOperator<?, ?, ?, ?> solutionSetJoin = (TwoInputUdfOperator<?, ?, ?, ?>) resultSet.getNextWorkset();
        assertTrue(solutionSetJoin.getSemanticProperties().getForwardingTargetFields(0, 0).contains(0));
        assertTrue(solutionSetJoin.getSemanticProperties().getForwardingTargetFields(1, 0).contains(0));
        SingleInputUdfOperator<?, ?, ?> sumReduce = (SingleInputUdfOperator<?, ?, ?>) solutionSetJoin.getInput1();
        SingleInputUdfOperator<?, ?, ?> gatherMap = (SingleInputUdfOperator<?, ?, ?>) sumReduce.getInput();
        // validate that the broadcast sets are forwarded
        assertEquals(bcGather, gatherMap.getBroadcastSets().get(BC_SET_GATHER_NAME));
        assertEquals(bcSum, sumReduce.getBroadcastSets().get(BC_SET_SUM_NAME));
        assertEquals(bcApply, solutionSetJoin.getBroadcastSets().get(BC_SET_APLLY_NAME));
    } catch (Exception e) {
        System.err.println(e.getMessage());
        e.printStackTrace();
        fail(e.getMessage());
    }
}
Also used : Vertex(org.apache.flink.graph.Vertex) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) DataSet(org.apache.flink.api.java.DataSet) LongSumAggregator(org.apache.flink.api.common.aggregators.LongSumAggregator) DeltaIterationResultSet(org.apache.flink.api.java.operators.DeltaIterationResultSet) TwoInputUdfOperator(org.apache.flink.api.java.operators.TwoInputUdfOperator) DiscardingOutputFormat(org.apache.flink.api.java.io.DiscardingOutputFormat) NullValue(org.apache.flink.types.NullValue) SingleInputUdfOperator(org.apache.flink.api.java.operators.SingleInputUdfOperator) Graph(org.apache.flink.graph.Graph) Tuple3ToEdgeMap(org.apache.flink.graph.utils.Tuple3ToEdgeMap) Test(org.junit.Test)

Aggregations

DataSet (org.apache.flink.api.java.DataSet)2 ExecutionEnvironment (org.apache.flink.api.java.ExecutionEnvironment)2 DiscardingOutputFormat (org.apache.flink.api.java.io.DiscardingOutputFormat)2 Graph (org.apache.flink.graph.Graph)2 Tuple3ToEdgeMap (org.apache.flink.graph.utils.Tuple3ToEdgeMap)2 NullValue (org.apache.flink.types.NullValue)2 Test (org.junit.Test)2 Plan (org.apache.flink.api.common.Plan)1 LongSumAggregator (org.apache.flink.api.common.aggregators.LongSumAggregator)1 FieldList (org.apache.flink.api.common.operators.util.FieldList)1 DeltaIterationResultSet (org.apache.flink.api.java.operators.DeltaIterationResultSet)1 SingleInputUdfOperator (org.apache.flink.api.java.operators.SingleInputUdfOperator)1 TwoInputUdfOperator (org.apache.flink.api.java.operators.TwoInputUdfOperator)1 Vertex (org.apache.flink.graph.Vertex)1 DualInputPlanNode (org.apache.flink.optimizer.plan.DualInputPlanNode)1 OptimizedPlan (org.apache.flink.optimizer.plan.OptimizedPlan)1 PlanNode (org.apache.flink.optimizer.plan.PlanNode)1 SingleInputPlanNode (org.apache.flink.optimizer.plan.SingleInputPlanNode)1 SinkPlanNode (org.apache.flink.optimizer.plan.SinkPlanNode)1 WorksetIterationPlanNode (org.apache.flink.optimizer.plan.WorksetIterationPlanNode)1