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Example 1 with FieldList

use of org.apache.flink.api.common.operators.util.FieldList in project flink by apache.

the class FieldListTest method testFieldListAdds.

@Test
public void testFieldListAdds() {
    check(new FieldList().addField(1).addField(2), 1, 2);
    check(FieldList.EMPTY_LIST.addField(3).addField(2), 3, 2);
    check(new FieldList(13).addFields(new FieldList(17, 31, 42)), 13, 17, 31, 42);
    check(new FieldList(14).addFields(new FieldList(17)), 14, 17);
    check(new FieldList(3).addFields(2, 8, 5, 7), 3, 2, 8, 5, 7);
}
Also used : FieldList(org.apache.flink.api.common.operators.util.FieldList) Test(org.junit.Test)

Example 2 with FieldList

use of org.apache.flink.api.common.operators.util.FieldList in project flink by apache.

the class PregelCompilerTest method testPregelCompilerWithBroadcastVariable.

@SuppressWarnings("serial")
@Test
public void testPregelCompilerWithBroadcastVariable() {
    final String broadcastSetName = "broadcast";
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    // compose test program
    {
        DataSet<Long> bcVar = env.fromElements(1L);
        DataSet<Vertex<Long, Long>> initialVertices = env.fromElements(new Tuple2<>(1L, 1L), new Tuple2<>(2L, 2L)).map(new Tuple2ToVertexMap<>());
        DataSet<Edge<Long, NullValue>> edges = env.fromElements(new Tuple2<>(1L, 2L)).map(new MapFunction<Tuple2<Long, Long>, Edge<Long, NullValue>>() {

            public Edge<Long, NullValue> map(Tuple2<Long, Long> edge) {
                return new Edge<>(edge.f0, edge.f1, NullValue.getInstance());
            }
        });
        Graph<Long, Long, NullValue> graph = Graph.fromDataSet(initialVertices, edges, env);
        VertexCentricConfiguration parameters = new VertexCentricConfiguration();
        parameters.addBroadcastSet(broadcastSetName, bcVar);
        DataSet<Vertex<Long, Long>> result = graph.runVertexCentricIteration(new CCCompute(), null, 100, parameters).getVertices();
        result.output(new DiscardingOutputFormat<>());
    }
    Plan p = env.createProgramPlan("Pregel 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());
    // check the iteration
    WorksetIterationPlanNode iteration = (WorksetIterationPlanNode) sink.getInput().getSource();
    assertEquals(DEFAULT_PARALLELISM, iteration.getParallelism());
    // check the solution set delta
    PlanNode ssDelta = iteration.getSolutionSetDeltaPlanNode();
    assertTrue(ssDelta instanceof SingleInputPlanNode);
    SingleInputPlanNode ssFlatMap = (SingleInputPlanNode) ((SingleInputPlanNode) (ssDelta)).getInput().getSource();
    assertEquals(DEFAULT_PARALLELISM, ssFlatMap.getParallelism());
    assertEquals(ShipStrategyType.FORWARD, ssFlatMap.getInput().getShipStrategy());
    // check the computation coGroup
    DualInputPlanNode computationCoGroup = (DualInputPlanNode) (ssFlatMap.getInput().getSource());
    assertEquals(DEFAULT_PARALLELISM, computationCoGroup.getParallelism());
    assertEquals(ShipStrategyType.FORWARD, computationCoGroup.getInput1().getShipStrategy());
    assertEquals(ShipStrategyType.PARTITION_HASH, computationCoGroup.getInput2().getShipStrategy());
    assertTrue(computationCoGroup.getInput2().getTempMode().isCached());
    assertEquals(new FieldList(0), computationCoGroup.getInput2().getShipStrategyKeys());
    // check that the initial partitioning is pushed out of the loop
    assertEquals(ShipStrategyType.PARTITION_HASH, iteration.getInput1().getShipStrategy());
    assertEquals(new FieldList(0), iteration.getInput1().getShipStrategyKeys());
}
Also used : ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) Tuple2ToVertexMap(org.apache.flink.graph.utils.Tuple2ToVertexMap) DataSet(org.apache.flink.api.java.DataSet) WorksetIterationPlanNode(org.apache.flink.optimizer.plan.WorksetIterationPlanNode) MapFunction(org.apache.flink.api.common.functions.MapFunction) 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) SingleInputPlanNode(org.apache.flink.optimizer.plan.SingleInputPlanNode) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) 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) Tuple2(org.apache.flink.api.java.tuple.Tuple2) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) Edge(org.apache.flink.graph.Edge) Test(org.junit.Test)

Example 3 with FieldList

use of org.apache.flink.api.common.operators.util.FieldList in project flink by apache.

the class SpargelCompilerTest method testSpargelCompilerWithBroadcastVariable.

@SuppressWarnings("serial")
@Test
public void testSpargelCompilerWithBroadcastVariable() {
    final String broadcastVariableName = "broadcast variable";
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    // compose test program
    DataSet<Long> bcVar = env.fromElements(1L);
    DataSet<Vertex<Long, Long>> initialVertices = env.fromElements(new Tuple2<>(1L, 1L), new Tuple2<>(2L, 2L)).map(new Tuple2ToVertexMap<>());
    DataSet<Edge<Long, NullValue>> edges = env.fromElements(new Tuple2<>(1L, 2L)).map(new MapFunction<Tuple2<Long, Long>, Edge<Long, NullValue>>() {

        public Edge<Long, NullValue> map(Tuple2<Long, Long> edge) {
            return new Edge<>(edge.f0, edge.f1, NullValue.getInstance());
        }
    });
    Graph<Long, Long, NullValue> graph = Graph.fromDataSet(initialVertices, edges, env);
    ScatterGatherConfiguration parameters = new ScatterGatherConfiguration();
    parameters.addBroadcastSetForScatterFunction(broadcastVariableName, bcVar);
    parameters.addBroadcastSetForGatherFunction(broadcastVariableName, bcVar);
    DataSet<Vertex<Long, Long>> result = graph.runScatterGatherIteration(new ConnectedComponents.CCMessenger<>(BasicTypeInfo.LONG_TYPE_INFO), new ConnectedComponents.CCUpdater<>(), 100).getVertices();
    result.output(new DiscardingOutputFormat<>());
    Plan p = env.createProgramPlan("Spargel 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());
    // 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();
    assertTrue(ssDelta instanceof // this is only true if the update functions preserves
    DualInputPlanNode);
    // the partitioning
    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
    DualInputPlanNode edgeJoin = (DualInputPlanNode) ssJoin.getInput1().getSource();
    assertEquals(DEFAULT_PARALLELISM, edgeJoin.getParallelism());
    assertEquals(ShipStrategyType.PARTITION_HASH, edgeJoin.getInput1().getShipStrategy());
    assertEquals(ShipStrategyType.FORWARD, edgeJoin.getInput2().getShipStrategy());
    assertTrue(edgeJoin.getInput1().getTempMode().isCached());
    assertEquals(new FieldList(0), edgeJoin.getInput1().getShipStrategyKeys());
    // check that the initial partitioning is pushed out of the loop
    assertEquals(ShipStrategyType.PARTITION_HASH, iteration.getInput1().getShipStrategy());
    assertEquals(ShipStrategyType.PARTITION_HASH, iteration.getInput2().getShipStrategy());
    assertEquals(new FieldList(0), iteration.getInput1().getShipStrategyKeys());
    assertEquals(new FieldList(0), iteration.getInput2().getShipStrategyKeys());
}
Also used : Vertex(org.apache.flink.graph.Vertex) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) FieldList(org.apache.flink.api.common.operators.util.FieldList) NullValue(org.apache.flink.types.NullValue) 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) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) WorksetIterationPlanNode(org.apache.flink.optimizer.plan.WorksetIterationPlanNode) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Edge(org.apache.flink.graph.Edge) Test(org.junit.Test)

Example 4 with FieldList

use of org.apache.flink.api.common.operators.util.FieldList in project flink by apache.

the class GSACompilerTest method testGSACompiler.

@Test
public void testGSACompiler() {
    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<>());
    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<>());
    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();
    assertTrue(ssDelta instanceof // this is only true if the update function preserves
    DualInputPlanNode);
    // the partitioning
    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());
}
Also used : Vertex(org.apache.flink.graph.Vertex) ExecutionEnvironment(org.apache.flink.api.java.ExecutionEnvironment) WorksetIterationPlanNode(org.apache.flink.optimizer.plan.WorksetIterationPlanNode) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) 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) 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) Tuple3(org.apache.flink.api.java.tuple.Tuple3) SinkPlanNode(org.apache.flink.optimizer.plan.SinkPlanNode) Edge(org.apache.flink.graph.Edge) Test(org.junit.Test)

Example 5 with FieldList

use of org.apache.flink.api.common.operators.util.FieldList in project flink by apache.

the class WorksetIterationsJavaApiCompilerTest method testJavaApiWithDeferredSoltionSetUpdateWithNonPreservingJoin.

@Test
public void testJavaApiWithDeferredSoltionSetUpdateWithNonPreservingJoin() {
    try {
        Plan plan = getJavaTestPlan(false, false);
        OptimizedPlan oPlan = compileNoStats(plan);
        OptimizerPlanNodeResolver resolver = getOptimizerPlanNodeResolver(oPlan);
        DualInputPlanNode joinWithInvariantNode = resolver.getNode(JOIN_WITH_INVARIANT_NAME);
        DualInputPlanNode joinWithSolutionSetNode = resolver.getNode(JOIN_WITH_SOLUTION_SET);
        SingleInputPlanNode worksetReducer = resolver.getNode(NEXT_WORKSET_REDUCER_NAME);
        // iteration preserves partitioning in reducer, so the first partitioning is out of the
        // loop,
        // the in-loop partitioning is before the final reducer
        // verify joinWithInvariant
        assertEquals(ShipStrategyType.FORWARD, joinWithInvariantNode.getInput1().getShipStrategy());
        assertEquals(ShipStrategyType.PARTITION_HASH, joinWithInvariantNode.getInput2().getShipStrategy());
        assertEquals(new FieldList(1, 2), joinWithInvariantNode.getKeysForInput1());
        assertEquals(new FieldList(1, 2), joinWithInvariantNode.getKeysForInput2());
        // verify joinWithSolutionSet
        assertEquals(ShipStrategyType.PARTITION_HASH, joinWithSolutionSetNode.getInput1().getShipStrategy());
        assertEquals(ShipStrategyType.FORWARD, joinWithSolutionSetNode.getInput2().getShipStrategy());
        assertEquals(new FieldList(1, 0), joinWithSolutionSetNode.getKeysForInput1());
        // verify reducer
        assertEquals(ShipStrategyType.PARTITION_HASH, worksetReducer.getInput().getShipStrategy());
        assertEquals(new FieldList(1, 2), worksetReducer.getKeys(0));
        // verify solution delta
        assertEquals(2, joinWithSolutionSetNode.getOutgoingChannels().size());
        assertEquals(ShipStrategyType.PARTITION_HASH, joinWithSolutionSetNode.getOutgoingChannels().get(0).getShipStrategy());
        assertEquals(ShipStrategyType.PARTITION_HASH, joinWithSolutionSetNode.getOutgoingChannels().get(1).getShipStrategy());
        new JobGraphGenerator().compileJobGraph(oPlan);
    } catch (Exception e) {
        System.err.println(e.getMessage());
        e.printStackTrace();
        fail("Test errored: " + e.getMessage());
    }
}
Also used : DualInputPlanNode(org.apache.flink.optimizer.plan.DualInputPlanNode) SingleInputPlanNode(org.apache.flink.optimizer.plan.SingleInputPlanNode) JobGraphGenerator(org.apache.flink.optimizer.plantranslate.JobGraphGenerator) Plan(org.apache.flink.api.common.Plan) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) InvalidProgramException(org.apache.flink.api.common.InvalidProgramException) OptimizedPlan(org.apache.flink.optimizer.plan.OptimizedPlan) FieldList(org.apache.flink.api.common.operators.util.FieldList) Test(org.junit.Test)

Aggregations

FieldList (org.apache.flink.api.common.operators.util.FieldList)80 Test (org.junit.Test)70 SingleInputPlanNode (org.apache.flink.optimizer.plan.SingleInputPlanNode)31 OptimizedPlan (org.apache.flink.optimizer.plan.OptimizedPlan)28 Plan (org.apache.flink.api.common.Plan)26 SingleInputSemanticProperties (org.apache.flink.api.common.operators.SingleInputSemanticProperties)26 ExecutionEnvironment (org.apache.flink.api.java.ExecutionEnvironment)25 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)25 Ordering (org.apache.flink.api.common.operators.Ordering)24 SinkPlanNode (org.apache.flink.optimizer.plan.SinkPlanNode)23 DiscardingOutputFormat (org.apache.flink.api.java.io.DiscardingOutputFormat)19 SourcePlanNode (org.apache.flink.optimizer.plan.SourcePlanNode)18 FieldSet (org.apache.flink.api.common.operators.util.FieldSet)14 GlobalProperties (org.apache.flink.optimizer.dataproperties.GlobalProperties)12 DualInputPlanNode (org.apache.flink.optimizer.plan.DualInputPlanNode)12 Channel (org.apache.flink.optimizer.plan.Channel)11 RequestedGlobalProperties (org.apache.flink.optimizer.dataproperties.RequestedGlobalProperties)9 LocalProperties (org.apache.flink.optimizer.dataproperties.LocalProperties)7 PlanNode (org.apache.flink.optimizer.plan.PlanNode)7 Edge (org.apache.flink.graph.Edge)6