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/*
* 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.process.computer;
import org.apache.spark.launcher.SparkLauncher;
import org.apache.spark.serializer.KryoSerializer;
import org.apache.tinkerpop.gremlin.GraphProvider;
import org.apache.tinkerpop.gremlin.LoadGraphWith;
import org.apache.tinkerpop.gremlin.hadoop.Constants;
import org.apache.tinkerpop.gremlin.hadoop.HadoopGraphProvider;
import org.apache.tinkerpop.gremlin.hadoop.structure.io.FileSystemStorageCheck;
import org.apache.tinkerpop.gremlin.hadoop.structure.io.HadoopPools;
import org.apache.tinkerpop.gremlin.process.computer.Computer;
import org.apache.tinkerpop.gremlin.process.computer.GraphComputer;
import org.apache.tinkerpop.gremlin.process.traversal.dsl.graph.GraphTraversalSource;
import org.apache.tinkerpop.gremlin.process.traversal.step.map.PageRankTest;
import org.apache.tinkerpop.gremlin.process.traversal.step.map.PeerPressureTest;
import org.apache.tinkerpop.gremlin.process.traversal.step.map.ProgramTest;
import org.apache.tinkerpop.gremlin.spark.structure.Spark;
import org.apache.tinkerpop.gremlin.spark.structure.io.PersistedOutputRDD;
import org.apache.tinkerpop.gremlin.spark.structure.io.SparkContextStorageCheck;
import org.apache.tinkerpop.gremlin.spark.structure.io.ToyGraphInputRDD;
import org.apache.tinkerpop.gremlin.spark.structure.io.gryo.GryoRegistrator;
import org.apache.tinkerpop.gremlin.structure.Graph;
import org.apache.tinkerpop.gremlin.structure.io.gryo.kryoshim.KryoShimServiceLoader;
import java.util.Map;
/**
* @author Marko A. Rodriguez (http://markorodriguez.com)
*/
@GraphProvider.Descriptor(computer = SparkGraphComputer.class)
public class SparkHadoopGraphProvider extends HadoopGraphProvider {
protected static final String PREVIOUS_SPARK_PROVIDER = "previous.spark.provider";
private final int AVAILABLE_PROCESSORS = Runtime.getRuntime().availableProcessors();
@Override
public Map<String, Object> getBaseConfiguration(final String graphName, final Class<?> test, final String testMethodName, final LoadGraphWith.GraphData loadGraphWith) {
if (this.getClass().equals(SparkHadoopGraphProvider.class) && !SparkHadoopGraphProvider.class.getCanonicalName().equals(System.getProperty(PREVIOUS_SPARK_PROVIDER, null))) {
Spark.close();
HadoopPools.close();
KryoShimServiceLoader.close();
System.setProperty(PREVIOUS_SPARK_PROVIDER, SparkHadoopGraphProvider.class.getCanonicalName());
}
final Map<String, Object> config = super.getBaseConfiguration(graphName, test, testMethodName, loadGraphWith);
config.put(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true); // this makes the test suite go really fast
// toy graph inputRDD does not have corresponding outputRDD so where jobs chain, it fails (failing makes sense)
if (null != loadGraphWith &&
!test.equals(ProgramTest.Traversals.class) &&
!test.equals(PageRankTest.Traversals.class) &&
!test.equals(PeerPressureTest.Traversals.class) &&
!test.equals(FileSystemStorageCheck.class) &&
!testMethodName.equals("shouldSupportJobChaining") && // GraphComputerTest.shouldSupportJobChaining
RANDOM.nextBoolean()) {
config.put(Constants.GREMLIN_HADOOP_GRAPH_READER, ToyGraphInputRDD.class.getCanonicalName());
}
// tests persisted RDDs
if (test.equals(SparkContextStorageCheck.class)) {
config.put(Constants.GREMLIN_HADOOP_GRAPH_READER, ToyGraphInputRDD.class.getCanonicalName());
config.put(Constants.GREMLIN_HADOOP_GRAPH_WRITER, PersistedOutputRDD.class.getCanonicalName());
}
config.put(Constants.GREMLIN_HADOOP_DEFAULT_GRAPH_COMPUTER, SparkGraphComputer.class.getCanonicalName());
config.put(SparkLauncher.SPARK_MASTER, "local[" + AVAILABLE_PROCESSORS + "]");
config.put(Constants.SPARK_SERIALIZER, KryoSerializer.class.getCanonicalName());
config.put(Constants.SPARK_KRYO_REGISTRATOR, GryoRegistrator.class.getCanonicalName());
config.put(Constants.SPARK_KRYO_REGISTRATION_REQUIRED, true);
return config;
}
@Override
public GraphTraversalSource traversal(final Graph graph) {
return RANDOM.nextBoolean() ?
graph.traversal().withComputer(Computer.compute(SparkGraphComputer.class).workers(RANDOM.nextInt(AVAILABLE_PROCESSORS) + 1)) :
graph.traversal().withComputer();
}
@Override
public GraphComputer getGraphComputer(final Graph graph) {
return RANDOM.nextBoolean() ?
graph.compute().workers(RANDOM.nextInt(AVAILABLE_PROCESSORS) + 1) :
graph.compute(SparkGraphComputer.class);
}
}