| /* |
| * 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.tinkerpop.gremlin.spark.structure.io; |
| |
| import org.apache.commons.configuration2.Configuration; |
| import org.apache.spark.storage.StorageLevel; |
| import org.apache.tinkerpop.gremlin.TestHelper; |
| import org.apache.tinkerpop.gremlin.hadoop.Constants; |
| import org.apache.tinkerpop.gremlin.hadoop.structure.io.gryo.GryoInputFormat; |
| import org.apache.tinkerpop.gremlin.hadoop.structure.io.gryo.GryoOutputFormat; |
| import org.apache.tinkerpop.gremlin.process.computer.Computer; |
| import org.apache.tinkerpop.gremlin.process.computer.GraphComputer; |
| import org.apache.tinkerpop.gremlin.process.computer.ranking.pagerank.PageRankMapReduce; |
| import org.apache.tinkerpop.gremlin.process.computer.ranking.pagerank.PageRankVertexProgram; |
| import org.apache.tinkerpop.gremlin.process.computer.traversal.TraversalVertexProgram; |
| import org.apache.tinkerpop.gremlin.process.traversal.dsl.graph.GraphTraversalSource; |
| import org.apache.tinkerpop.gremlin.spark.AbstractSparkTest; |
| import org.apache.tinkerpop.gremlin.spark.process.computer.SparkGraphComputer; |
| import org.apache.tinkerpop.gremlin.spark.process.computer.SparkHadoopGraphProvider; |
| import org.apache.tinkerpop.gremlin.spark.structure.Spark; |
| import org.apache.tinkerpop.gremlin.structure.Graph; |
| import org.apache.tinkerpop.gremlin.structure.util.GraphFactory; |
| import org.junit.Test; |
| |
| import java.util.Arrays; |
| import java.util.UUID; |
| |
| import static org.junit.Assert.assertEquals; |
| import static org.junit.Assert.assertFalse; |
| import static org.junit.Assert.assertTrue; |
| |
| /** |
| * @author Marko A. Rodriguez (http://markorodriguez.com) |
| */ |
| public class PersistedInputOutputRDDIntegrateTest extends AbstractSparkTest { |
| |
| @Test |
| public void shouldNotHaveDanglingPersistedComputeRDDs() throws Exception { |
| Spark.create("local[4]"); |
| final String rddName = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, UUID.randomUUID().toString()); |
| final Configuration configuration = super.getBaseConfiguration(); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern-v3d0.kryo")); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, GryoInputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, GryoOutputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true); |
| Graph graph = GraphFactory.open(configuration); |
| /// |
| assertEquals(6, graph.traversal().withComputer(Computer.compute(SparkGraphComputer.class)).V().out().count().next().longValue()); |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(0, Spark.getContext().getPersistentRDDs().size()); |
| // |
| assertEquals(2, graph.traversal().withComputer(Computer.compute(SparkGraphComputer.class)).V().out().out().count().next().longValue()); |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(0, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| Spark.close(); |
| } |
| |
| @Test |
| public void shouldPersistRDDBasedOnStorageLevel() throws Exception { |
| Spark.create("local[4]"); |
| int counter = 0; |
| for (final String storageLevel : Arrays.asList("MEMORY_ONLY", "DISK_ONLY", "MEMORY_ONLY_SER", "MEMORY_AND_DISK_SER")) { |
| assertEquals(counter, Spark.getRDDs().size()); |
| assertEquals(counter, Spark.getContext().getPersistentRDDs().size()); |
| counter++; |
| final String rddName = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, UUID.randomUUID().toString()); |
| final Configuration configuration = super.getBaseConfiguration(); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern-v3d0.kryo")); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, GryoInputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_STORAGE_LEVEL, storageLevel); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true); |
| Graph graph = GraphFactory.open(configuration); |
| graph.compute(SparkGraphComputer.class) |
| .result(GraphComputer.ResultGraph.NEW) |
| .persist(GraphComputer.Persist.EDGES) |
| .program(TraversalVertexProgram.build() |
| .traversal(graph.traversal().withComputer(SparkGraphComputer.class), |
| "gremlin-groovy", |
| "g.V().groupCount('m').by('name').out()").create(graph)).submit().get(); |
| //////// |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(StorageLevel.fromString(storageLevel), Spark.getRDD(Constants.getGraphLocation(rddName)).getStorageLevel()); |
| assertEquals(counter, Spark.getRDDs().size()); |
| assertEquals(counter, Spark.getContext().getPersistentRDDs().size()); |
| } |
| Spark.close(); |
| } |
| |
| @Test |
| public void shouldNotPersistRDDAcrossJobs() throws Exception { |
| Spark.create("local[4]"); |
| final String rddName = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, UUID.randomUUID().toString()); |
| final Configuration configuration = super.getBaseConfiguration(); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern-v3d0.kryo")); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, GryoInputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, false); // because the spark context is NOT persisted, neither is the RDD |
| Graph graph = GraphFactory.open(configuration); |
| graph.compute(SparkGraphComputer.class) |
| .result(GraphComputer.ResultGraph.NEW) |
| .persist(GraphComputer.Persist.EDGES) |
| .program(TraversalVertexProgram.build() |
| .traversal(graph.traversal().withComputer(SparkGraphComputer.class), |
| "gremlin-groovy", |
| "g.V()").create(graph)).submit().get(); |
| //////// |
| Spark.create("local[4]"); |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(0, Spark.getContext().getPersistentRDDs().size()); |
| Spark.close(); |
| } |
| |
| @Test |
| public void shouldPersistRDDAcrossJobs() throws Exception { |
| Spark.create("local[4]"); |
| final String rddName = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, UUID.randomUUID().toString()); |
| final String rddName2 = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, UUID.randomUUID().toString()); |
| final Configuration configuration = super.getBaseConfiguration(); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern-v3d0.kryo")); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, GryoInputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true); |
| Graph graph = GraphFactory.open(configuration); |
| graph.compute(SparkGraphComputer.class) |
| .result(GraphComputer.ResultGraph.NEW) |
| .persist(GraphComputer.Persist.EDGES) |
| .program(TraversalVertexProgram.build() |
| .traversal(graph.traversal().withComputer(SparkGraphComputer.class), |
| "gremlin-groovy", |
| "g.V().count()").create(graph)).submit().get(); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, PersistedInputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName2); |
| graph = GraphFactory.open(configuration); |
| assertEquals(6, graph.traversal().withComputer(SparkGraphComputer.class).V().out().count().next().longValue()); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| graph = GraphFactory.open(configuration); |
| graph.compute(SparkGraphComputer.class) |
| .result(GraphComputer.ResultGraph.NEW) |
| .persist(GraphComputer.Persist.EDGES) |
| .program(TraversalVertexProgram.build() |
| .traversal(graph.traversal().withComputer(SparkGraphComputer.class), |
| "gremlin-groovy", |
| "g.V().count()").create(graph)).submit().get(); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| assertEquals(2, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, PersistedInputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName2); |
| graph = GraphFactory.open(configuration); |
| assertEquals(6, graph.traversal().withComputer(SparkGraphComputer.class).V().out().count().next().longValue()); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| graph = GraphFactory.open(configuration); |
| graph.compute(SparkGraphComputer.class) |
| .result(GraphComputer.ResultGraph.NEW) |
| .persist(GraphComputer.Persist.EDGES) |
| .program(TraversalVertexProgram.build() |
| .traversal(graph.traversal().withComputer(SparkGraphComputer.class), |
| "gremlin-groovy", |
| "g.V().count()").create(graph)).submit().get(); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| assertEquals(2, Spark.getContext().getPersistentRDDs().size()); |
| /////// |
| graph = GraphFactory.open(configuration); |
| assertEquals(6, graph.traversal().withComputer(SparkGraphComputer.class).V().out().count().next().longValue()); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| Spark.close(); |
| } |
| |
| @Test |
| public void testComplexChain() throws Exception { |
| Spark.create("local[4]"); |
| |
| final String rddName = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, "testComplexChain", "graphRDD"); |
| final String rddName2 = TestHelper.makeTestDataDirectory(PersistedInputOutputRDDIntegrateTest.class, "testComplexChain", "graphRDD2"); |
| final Configuration configuration = super.getBaseConfiguration(); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, GryoInputFormat.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern-v3d0.kryo")); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true); |
| |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(0, Spark.getContext().getPersistentRDDs().size()); |
| Graph graph = GraphFactory.open(configuration); |
| graph = graph.compute(SparkGraphComputer.class).persist(GraphComputer.Persist.EDGES).program(PageRankVertexProgram.build().iterations(2).create(graph)).submit().get().graph(); |
| GraphTraversalSource g = graph.traversal(); |
| assertEquals(6l, g.V().count().next().longValue()); |
| assertEquals(6l, g.E().count().next().longValue()); |
| assertEquals(6l, g.V().values(PageRankVertexProgram.PAGE_RANK).count().next().longValue()); |
| //// |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| //// |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_READER, PersistedInputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION, rddName); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName()); |
| configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName2); |
| //// |
| graph = GraphFactory.open(configuration); |
| graph = graph.compute(SparkGraphComputer.class).persist(GraphComputer.Persist.EDGES).mapReduce(PageRankMapReduce.build().create()).program(PageRankVertexProgram.build().iterations(2).create(graph)).submit().get().graph(); |
| g = graph.traversal(); |
| assertEquals(6l, g.V().count().next().longValue()); |
| assertEquals(6l, g.E().count().next().longValue()); |
| assertEquals(6l, g.V().values(PageRankVertexProgram.PAGE_RANK).count().next().longValue()); |
| //// |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| assertTrue(Spark.hasRDD(Constants.getMemoryLocation(rddName2, PageRankMapReduce.DEFAULT_MEMORY_KEY))); |
| assertEquals(3, Spark.getContext().getPersistentRDDs().size()); |
| //// |
| graph = GraphFactory.open(configuration); |
| graph = graph.compute(SparkGraphComputer.class).persist(GraphComputer.Persist.VERTEX_PROPERTIES).program(PageRankVertexProgram.build().iterations(2).create(graph)).submit().get().graph(); |
| g = graph.traversal(); |
| assertEquals(6l, g.V().count().next().longValue()); |
| assertEquals(0l, g.E().count().next().longValue()); |
| assertEquals(6l, g.V().values(PageRankVertexProgram.PAGE_RANK).count().next().longValue()); |
| //// |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| assertFalse(Spark.hasRDD(Constants.getMemoryLocation(rddName2, PageRankMapReduce.DEFAULT_MEMORY_KEY))); |
| assertEquals(2, Spark.getContext().getPersistentRDDs().size()); |
| //// |
| graph = GraphFactory.open(configuration); |
| graph = graph.compute(SparkGraphComputer.class).persist(GraphComputer.Persist.NOTHING).program(PageRankVertexProgram.build().iterations(2).create(graph)).submit().get().graph(); |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| g = graph.traversal(); |
| assertEquals(0l, g.V().count().next().longValue()); |
| assertEquals(0l, g.E().count().next().longValue()); |
| assertEquals(0l, g.V().values(PageRankVertexProgram.PAGE_RANK).count().next().longValue()); |
| //// |
| assertTrue(Spark.hasRDD(Constants.getGraphLocation(rddName))); |
| assertFalse(Spark.hasRDD(Constants.getGraphLocation(rddName2))); |
| assertFalse(Spark.hasRDD(Constants.getMemoryLocation(rddName2, PageRankMapReduce.DEFAULT_MEMORY_KEY))); |
| assertEquals(1, Spark.getContext().getPersistentRDDs().size()); |
| Spark.close(); |
| } |
| } |