Example usage for org.apache.commons.configuration Configuration setProperty

List of usage examples for org.apache.commons.configuration Configuration setProperty

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Introduction

In this page you can find the example usage for org.apache.commons.configuration Configuration setProperty.

Prototype

void setProperty(String key, Object value);

Source Link

Document

Set a property, this will replace any previously set values.

Usage

From source file:org.apache.tinkerpop.gremlin.process.computer.ranking.pagerank.PageRankVertexProgram.java

@Override
public void storeState(final Configuration configuration) {
    VertexProgram.super.storeState(configuration);
    configuration.setProperty(VERTEX_COUNT, this.vertexCountAsDouble);
    configuration.setProperty(ALPHA, this.alpha);
    configuration.setProperty(TOTAL_ITERATIONS, this.totalIterations);
    configuration.setProperty(PROPERTY, this.property);
    if (null != this.edgeTraversal)
        this.edgeTraversal.storeState(configuration, EDGE_TRAVERSAL);
    if (null != this.initialRankTraversal)
        this.initialRankTraversal.storeState(configuration, INITIAL_RANK_TRAVERSAL);
}

From source file:org.apache.tinkerpop.gremlin.process.computer.util.ConfigurationTraversal.java

public void storeState(final Configuration configuration) {
    try {/*w  w w  .j a va  2s .c o  m*/
        VertexProgramHelper.serialize(this.traversalFunction, configuration, this.configKey); // the traversal can not be serialized (probably because of lambdas). As such, try direct reference.
    } catch (final IllegalArgumentException e) {
        configuration.setProperty(this.configKey, this.traversalFunction);
    }
}

From source file:org.apache.tinkerpop.gremlin.process.computer.util.LambdaHolder.java

public void storeState(final Configuration configuration) {
    configuration.setProperty(this.configKeyPrefix.concat(DOT_TYPE), this.type.name());
    if (this.type.equals(Type.OBJECT))
        configuration.setProperty(this.configKeyPrefix.concat(DOT_OBJECT), this.configObject);
    else if (this.type.equals(Type.SERIALIZED_OBJECT))
        VertexProgramHelper.serialize(this.configObject, configuration,
                this.configKeyPrefix.concat(DOT_OBJECT));
    else if (this.type.equals(Type.CLASS))
        configuration.setProperty(this.configKeyPrefix.concat(DOT_OBJECT),
                ((Class) this.configObject).getCanonicalName());
    else // SCRIPT
        VertexProgramHelper.serialize(this.configObject, configuration,
                this.configKeyPrefix.concat(DOT_OBJECT));
}

From source file:org.apache.tinkerpop.gremlin.process.computer.util.VertexProgramHelper.java

public static void serialize(final Object object, final Configuration configuration, final String key) {
    if (configuration instanceof AbstractConfiguration)
        ((AbstractConfiguration) configuration).setDelimiterParsingDisabled(true);
    try {//from  www  . ja  v a 2  s .co m
        final String byteString = Arrays.toString(Serializer.serializeObject(object));
        configuration.setProperty(key, byteString.substring(1, byteString.length() - 1));
    } catch (final IOException e) {
        throw new IllegalArgumentException(e.getMessage(), e);
    }
}

From source file:org.apache.tinkerpop.gremlin.process.computer.VertexProgram.java

/**
 * When it is necessary to store the state of the VertexProgram, this method is called.
 * This is typically required when the VertexProgram needs to be serialized to another machine.
 * Note that what is stored is simply the instance/configuration state, not any processed data.
 * The default implementation provided simply stores the VertexProgram class name for reflective reconstruction.
 * It is typically a good idea to VertexProgram.super.storeState().
 *
 * @param configuration the configuration to store the state of the VertexProgram in.
 *//*from   w  ww.  j  a va 2  s. c o m*/
public default void storeState(final Configuration configuration) {
    configuration.setProperty(VERTEX_PROGRAM, this.getClass().getName());
}

From source file:org.apache.tinkerpop.gremlin.process.traversal.util.PureTraversal.java

public void storeState(final Configuration configuration, final String configurationKey) {
    try {//from   www .j av a2s  . co  m
        VertexProgramHelper.serialize(this, configuration, configurationKey); // the traversal can not be serialized (probably because of lambdas). As such, try direct reference.
    } catch (final IllegalArgumentException e) {
        configuration.setProperty(configurationKey, this);
    }
}

From source file:org.apache.tinkerpop.gremlin.spark.process.computer.groovy.plugin.SparkGremlinPluginTest.java

@Test
public void shouldSupportBasicRDDOperations() throws Exception {
    final String root = TestHelper.makeTestDataDirectory(SparkGremlinPluginTest.class,
            "shouldSupportBasicRDDOperations");
    final String rddName1 = TestHelper.makeTestDataDirectory(SparkGremlinPluginTest.class,
            "shouldSupportBasicRDDOperations", "graph-1");
    final Configuration configuration = new BaseConfiguration();
    configuration.setProperty("spark.master", "local[4]");
    configuration.setProperty("spark.serializer", GryoSerializer.class.getCanonicalName());
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION,
            SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern.kryo"));
    configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_INPUT_FORMAT,
            GryoInputFormat.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_SPARK_GRAPH_OUTPUT_RDD,
            PersistedOutputRDD.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, rddName1);
    configuration.setProperty(Constants.GREMLIN_SPARK_PERSIST_CONTEXT, true);
    Graph graph = GraphFactory.open(configuration);

    Spark.create("local[4]");

    assertEquals(0, ((List<String>) this.console.eval("spark.ls()")).size());

    this.console.addBinding("graph", graph);
    this.console.eval(
            "graph.compute(SparkGraphComputer).program(PageRankVertexProgram.build().iterations(1).create()).submit().get()");
    assertEquals(1, ((List<String>) this.console.eval("spark.ls()")).size());
    assertEquals(rddName1 + " [Memory Deserialized 1x Replicated]",
            ((List<String>) this.console.eval("spark.ls()")).get(0));

    final String rddName2 = TestHelper.makeTestDataDirectory(SparkGremlinPluginTest.class,
            "shouldSupportBasicRDDOperations", "graph-2");
    this.console.eval("graph.configuration().setProperty('" + Constants.GREMLIN_HADOOP_OUTPUT_LOCATION + "','"
            + rddName2 + "')");
    this.console.eval(
            "graph.compute(SparkGraphComputer).program(PageRankVertexProgram.build().iterations(1).create()).submit().get()");
    assertEquals(2, ((List<String>) this.console.eval("spark.ls()")).size());
    assertTrue(((List<String>) this.console.eval("spark.ls()"))
            .contains(rddName2 + " [Memory Deserialized 1x Replicated]"));

    this.console.eval("spark.rm('" + rddName2 + "')");
    assertEquals(1, ((List<String>) this.console.eval("spark.ls()")).size());
    assertTrue(((List<String>) this.console.eval("spark.ls()"))
            .contains(rddName1 + " [Memory Deserialized 1x Replicated]"));

    assertEquals(6, ((List<Object>) this.console.eval("spark.head('" + rddName1 + "')")).size());

    this.console.eval("spark.rm('" + root + "graph-*')");
    assertEquals(0, ((List<String>) this.console.eval("spark.ls()")).size());

    ///////*from  w w  w  .j  av a2  s  .  com*/
    this.console.eval("graph.configuration().setProperty('" + Constants.GREMLIN_HADOOP_OUTPUT_LOCATION + "','"
            + rddName1 + "')");
    this.console.eval(
            "graph.compute(SparkGraphComputer).program(PageRankVertexProgram.build().iterations(1).create()).submit().get()");

    this.console.eval("graph.configuration().setProperty('" + Constants.GREMLIN_HADOOP_OUTPUT_LOCATION + "','"
            + rddName2 + "')");
    this.console.eval(
            "graph.compute(SparkGraphComputer).program(PageRankVertexProgram.build().iterations(1).create()).submit().get()");

    final String rddName3 = TestHelper.makeTestDataDirectory(SparkGremlinPluginTest.class,
            "shouldSupportBasicRDDOperations", "x");
    this.console.eval("graph.configuration().setProperty('" + Constants.GREMLIN_HADOOP_OUTPUT_LOCATION + "','"
            + rddName3 + "')");
    this.console.eval(
            "graph.compute(SparkGraphComputer).program(PageRankVertexProgram.build().iterations(1).create()).submit().get()");

    assertEquals(3, ((List<String>) this.console.eval("spark.ls()")).size());
    this.console.eval("spark.rm('" + root + "graph-*')");
    assertEquals(1, ((List<String>) this.console.eval("spark.ls()")).size());
    this.console.eval("spark.rm('*')");
    assertEquals(0, ((List<String>) this.console.eval("spark.ls()")).size());

    //
}

From source file:org.apache.tinkerpop.gremlin.spark.process.computer.io.InputOutputRDDTest.java

@Test
public void shouldReadFromWriteToArbitraryRDD() throws Exception {
    final Configuration configuration = new BaseConfiguration();
    configuration.setProperty("spark.master", "local[4]");
    configuration.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_SPARK_GRAPH_INPUT_RDD,
            ExampleInputRDD.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_SPARK_GRAPH_OUTPUT_RDD,
            ExampleOutputRDD.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, "target/test-output");
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    /////////*from  ww  w . j a va 2  s .c o  m*/
    Graph graph = GraphFactory.open(configuration);
    graph.compute(SparkGraphComputer.class).result(GraphComputer.ResultGraph.NEW)
            .persist(
                    GraphComputer.Persist.EDGES)
            .program(TraversalVertexProgram.build()
                    .traversal(
                            GraphTraversalSource.build()
                                    .engine(ComputerTraversalEngine.build().computer(SparkGraphComputer.class)),
                            "gremlin-groovy", "g.V()")
                    .create(graph))
            .submit().get();
}

From source file:org.apache.tinkerpop.gremlin.spark.process.computer.io.InputRDDTest.java

@Test
public void shouldReadFromArbitraryRDD() {
    final Configuration configuration = new BaseConfiguration();
    configuration.setProperty("spark.master", "local[4]");
    configuration.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_SPARK_GRAPH_INPUT_RDD,
            ExampleInputRDD.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_OUTPUT_FORMAT,
            GryoOutputFormat.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, "target/test-output");
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    /////////*from w w  w.  ja  va 2 s . c  o m*/
    Graph graph = GraphFactory.open(configuration);
    assertEquals(Double.valueOf(123.0d), graph
            .traversal(GraphTraversalSource.computer(SparkGraphComputer.class)).V().values("age").sum().next());
    assertEquals(Long.valueOf(4l),
            graph.traversal(GraphTraversalSource.computer(SparkGraphComputer.class)).V().count().next());
}

From source file:org.apache.tinkerpop.gremlin.spark.process.computer.io.OutputRDDTest.java

@Test
public void shouldWriteToArbitraryRDD() throws Exception {
    final Configuration configuration = new BaseConfiguration();
    configuration.setProperty("spark.master", "local[4]");
    configuration.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_INPUT_LOCATION,
            SparkHadoopGraphProvider.PATHS.get("tinkerpop-modern.kryo"));
    configuration.setProperty(Constants.GREMLIN_HADOOP_GRAPH_INPUT_FORMAT,
            GryoInputFormat.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_SPARK_GRAPH_OUTPUT_RDD,
            ExampleOutputRDD.class.getCanonicalName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION, "target/test-output");
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    /////////*from w w  w .j  a v  a 2  s. c  om*/
    Graph graph = GraphFactory.open(configuration);
    graph.compute(SparkGraphComputer.class).result(GraphComputer.ResultGraph.NEW)
            .persist(
                    GraphComputer.Persist.EDGES)
            .program(TraversalVertexProgram.build()
                    .traversal(
                            GraphTraversalSource.build()
                                    .engine(ComputerTraversalEngine.build().computer(SparkGraphComputer.class)),
                            "gremlin-groovy", "g.V()")
                    .create(graph))
            .submit().get();
}