| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package org.apache.flink.graph.spargel; |
| |
| import org.apache.flink.api.common.Plan; |
| import org.apache.flink.api.common.functions.MapFunction; |
| import org.apache.flink.api.common.operators.util.FieldList; |
| import org.apache.flink.api.common.typeinfo.BasicTypeInfo; |
| import org.apache.flink.api.java.DataSet; |
| import org.apache.flink.api.java.ExecutionEnvironment; |
| import org.apache.flink.api.java.io.DiscardingOutputFormat; |
| import org.apache.flink.api.java.tuple.Tuple2; |
| import org.apache.flink.graph.Edge; |
| import org.apache.flink.graph.Graph; |
| import org.apache.flink.graph.Vertex; |
| import org.apache.flink.graph.library.ConnectedComponents; |
| import org.apache.flink.graph.utils.Tuple2ToVertexMap; |
| import org.apache.flink.optimizer.plan.DualInputPlanNode; |
| import org.apache.flink.optimizer.plan.OptimizedPlan; |
| import org.apache.flink.optimizer.plan.PlanNode; |
| import org.apache.flink.optimizer.plan.SinkPlanNode; |
| import org.apache.flink.optimizer.plan.WorksetIterationPlanNode; |
| import org.apache.flink.optimizer.util.CompilerTestBase; |
| import org.apache.flink.runtime.operators.shipping.ShipStrategyType; |
| import org.apache.flink.runtime.operators.util.LocalStrategy; |
| import org.apache.flink.types.NullValue; |
| |
| import org.junit.Test; |
| |
| import static org.junit.Assert.assertEquals; |
| import static org.junit.Assert.assertTrue; |
| |
| /** |
| * Validate compiled {@link ScatterGatherIteration} programs. |
| */ |
| public class SpargelCompilerTest extends CompilerTestBase { |
| |
| private static final long serialVersionUID = 1L; |
| |
| @SuppressWarnings("serial") |
| @Test |
| public void testSpargelCompiler() { |
| ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| env.setParallelism(DEFAULT_PARALLELISM); |
| |
| // compose test program |
| 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); |
| |
| 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 DualInputPlanNode); // this is only true if the update functions preserves 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()); |
| |
| // check that the initial workset sort is outside the loop |
| assertEquals(LocalStrategy.SORT, iteration.getInput2().getLocalStrategy()); |
| assertEquals(new FieldList(0), iteration.getInput2().getLocalStrategyKeys()); |
| } |
| |
| @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 DualInputPlanNode); // this is only true if the update functions preserves 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()); |
| } |
| } |