Example usage for org.apache.hadoop.conf Configuration write

Introduction

In this page you can find the example usage for org.apache.hadoop.conf Configuration write.

Prototype

@Override
    public void write(DataOutput out) throws IOException 

Source Link

Usage

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.javardd.ImportJavaRDDOfElementsHandlerTest.java

License:Apache License

@Test
public void checkImportJavaRDDOfElements() throws OperationException, IOException, InterruptedException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final List<Element> elements = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(TestGroups.ENTITY);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(TestGroups.EDGE);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);/*from w  ww  .j ava 2  s  . co m*/
        edge1.putProperty(TestPropertyNames.COUNT, 2);

        final Edge edge2 = new Edge(TestGroups.EDGE);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty(TestPropertyNames.COUNT, 4);

        elements.add(edge1);
        elements.add(edge2);
        elements.add(entity);
    }
    final User user = new User();

    final SparkConf sparkConf = new SparkConf().setMaster("local")
            .setAppName("testCheckGetCorrectElementsInJavaRDDForEntitySeed")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);
    final String outputPath = this.getClass().getResource("/").getPath().toString() + "load";
    final String failurePath = this.getClass().getResource("/").getPath().toString() + "failure";
    final File file = new File(outputPath);
    if (file.exists()) {
        FileUtils.forceDelete(file);
    }

    final JavaRDD<Element> elementJavaRDD = sparkContext.parallelize(elements);
    final ImportJavaRDDOfElements addRdd = new ImportJavaRDDOfElements.Builder().javaSparkContext(sparkContext)
            .input(elementJavaRDD).option("outputPath", outputPath).option("failurePath", failurePath).build();
    graph1.execute(addRdd, user);
    FileUtils.forceDelete(file);

    // Check all elements were added
    final GetJavaRDDOfAllElements rddQuery = new GetJavaRDDOfAllElements.Builder()
            .javaSparkContext(sparkContext)
            .option(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString).build();

    final JavaRDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }
    final Set<Element> results = new HashSet<>(rdd.collect());
    assertEquals(elements.size(), results.size());

    sparkContext.stop();
}

---

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.javardd.ImportKeyValueJavaPairRDDToAccumuloHandlerTest.java

License:Apache License

@Test
public void checkImportKeyValueJavaPairRDD() throws OperationException, IOException, InterruptedException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final List<Element> elements = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(TestGroups.ENTITY);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(TestGroups.EDGE);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);/*w  w w  . ja  va  2  s .  c o m*/
        edge1.putProperty(TestPropertyNames.COUNT, 2);

        final Edge edge2 = new Edge(TestGroups.EDGE);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty(TestPropertyNames.COUNT, 4);

        elements.add(edge1);
        elements.add(edge2);
        elements.add(entity);
    }
    final User user = new User();

    final SparkConf sparkConf = new SparkConf().setMaster("local")
            .setAppName("testCheckGetCorrectElementsInJavaRDDForEntitySeed")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);
    final String outputPath = this.getClass().getResource("/").getPath().toString() + "load";
    final String failurePath = this.getClass().getResource("/").getPath().toString() + "failure";
    final File file = new File(outputPath);
    if (file.exists()) {
        FileUtils.forceDelete(file);
    }

    final ElementConverterFunction func = new ElementConverterFunction(
            sparkContext.broadcast(new ByteEntityAccumuloElementConverter(graph1.getSchema())));
    final JavaPairRDD<Key, Value> elementJavaRDD = sparkContext.parallelize(elements).flatMapToPair(func);
    final ImportKeyValueJavaPairRDDToAccumulo addRdd = new ImportKeyValueJavaPairRDDToAccumulo.Builder()
            .input(elementJavaRDD).outputPath(outputPath).failurePath(failurePath).build();
    graph1.execute(addRdd, user);
    FileUtils.forceDelete(file);

    // Check all elements were added
    final GetJavaRDDOfAllElements rddQuery = new GetJavaRDDOfAllElements.Builder()
            .javaSparkContext(sparkContext)
            .option(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString).build();

    final JavaRDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }
    final Set<Element> results = new HashSet<>(rdd.collect());
    assertEquals(elements.size(), results.size());

    sparkContext.stop();
}

---

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.scalardd.GetRDDOfElementsHandlerTest.java

License:Apache License

@Test
public void checkGetCorrectElementsInRDDForEntitySeed() throws OperationException, IOException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final List<Element> elements = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(ENTITY_GROUP);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(EDGE_GROUP);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);/*from  www.  j  a  va 2s  .co  m*/
        edge1.putProperty("count", 2);

        final Edge edge2 = new Edge(EDGE_GROUP);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty("count", 4);

        elements.add(edge1);
        elements.add(edge2);
        elements.add(entity);
    }
    final User user = new User();
    graph1.execute(new AddElements(elements), user);

    final SparkConf sparkConf = new SparkConf().setMaster("local")
            .setAppName("testCheckGetCorrectElementsInRDDForEntitySeed")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final SparkContext sparkContext = new SparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);

    // Check get correct edges for "1"
    GetRDDOfElements<EntitySeed> rddQuery = new GetRDDOfElements.Builder<EntitySeed>()
            .sparkContext(sparkContext).seeds(Collections.singleton(new EntitySeed("1"))).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    RDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }
    Set<Element> results = new HashSet<>();
    // NB: IDE suggests the cast in the following line is unnecessary but compilation fails without it
    Element[] returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }

    final Set<Element> expectedElements = new HashSet<>();
    final Entity entity1 = new Entity(ENTITY_GROUP);
    entity1.setVertex("1");
    final Edge edge1B = new Edge(EDGE_GROUP);
    edge1B.setSource("1");
    edge1B.setDestination("B");
    edge1B.setDirected(false);
    edge1B.putProperty("count", 2);
    final Edge edge1C = new Edge(EDGE_GROUP);
    edge1C.setSource("1");
    edge1C.setDestination("C");
    edge1C.setDirected(false);
    edge1C.putProperty("count", 4);
    expectedElements.add(entity1);
    expectedElements.add(edge1B);
    expectedElements.add(edge1C);
    assertEquals(expectedElements, results);

    // Check get correct edges for "1" when specify entities only
    rddQuery = new GetRDDOfElements.Builder<EntitySeed>().sparkContext(sparkContext)
            .seeds(Collections.singleton(new EntitySeed("1")))
            .view(new View.Builder().entity(ENTITY_GROUP).build()).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    expectedElements.clear();
    expectedElements.add(entity1);
    assertEquals(expectedElements, results);

    // Check get correct edges for "1" when specify edges only
    rddQuery = new GetRDDOfElements.Builder<EntitySeed>().sparkContext(sparkContext)
            .seeds(Collections.singleton(new EntitySeed("1"))).view(new View.Builder().edge(EDGE_GROUP).build())
            .build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    expectedElements.clear();
    expectedElements.add(edge1B);
    expectedElements.add(edge1C);
    assertEquals(expectedElements, results);

    // Check get correct edges for "1" and "5"
    Set<EntitySeed> seeds = new HashSet<>();
    seeds.add(new EntitySeed("1"));
    seeds.add(new EntitySeed("5"));
    rddQuery = new GetRDDOfElements.Builder<EntitySeed>().sparkContext(sparkContext).seeds(seeds).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    final Entity entity5 = new Entity(ENTITY_GROUP);
    entity5.setVertex("5");
    final Edge edge5B = new Edge(EDGE_GROUP);
    edge5B.setSource("5");
    edge5B.setDestination("B");
    edge5B.setDirected(false);
    edge5B.putProperty("count", 2);
    final Edge edge5C = new Edge(EDGE_GROUP);
    edge5C.setSource("5");
    edge5C.setDestination("C");
    edge5C.setDirected(false);
    edge5C.putProperty("count", 4);
    expectedElements.clear();
    expectedElements.add(entity1);
    expectedElements.add(edge1B);
    expectedElements.add(edge1C);
    expectedElements.add(entity5);
    expectedElements.add(edge5B);
    expectedElements.add(edge5C);
    assertEquals(expectedElements, results);

    sparkContext.stop();
}

---

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.scalardd.GetRDDOfElementsHandlerTest.java

License:Apache License

@Test
public void checkGetCorrectElementsInRDDForEdgeSeed() throws OperationException, IOException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final List<Element> elements = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(ENTITY_GROUP);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(EDGE_GROUP);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);/*from  w w w.  j a  v a2 s  .c om*/
        edge1.putProperty("count", 2);

        final Edge edge2 = new Edge(EDGE_GROUP);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty("count", 4);

        elements.add(edge1);
        elements.add(edge2);
        elements.add(entity);
    }
    final User user = new User();
    graph1.execute(new AddElements(elements), user);

    final SparkConf sparkConf = new SparkConf().setMaster("local")
            .setAppName("testCheckGetCorrectElementsInRDDForEdgeSeed")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final SparkContext sparkContext = new SparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);

    // Check get correct edges for EdgeSeed 1 -> B
    GetRDDOfElements<EdgeSeed> rddQuery = new GetRDDOfElements.Builder<EdgeSeed>().sparkContext(sparkContext)
            .seeds(Collections.singleton(new EdgeSeed("1", "B", false)))
            .includeEdges(GetOperation.IncludeEdgeType.ALL).includeEntities(false).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    RDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }
    Set<Element> results = new HashSet<>();
    // NB: IDE suggests the cast in the following line is unnecessary but compilation fails without it
    Element[] returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }

    final Set<Element> expectedElements = new HashSet<>();
    final Edge edge1B = new Edge(EDGE_GROUP);
    edge1B.setSource("1");
    edge1B.setDestination("B");
    edge1B.setDirected(false);
    edge1B.putProperty("count", 2);
    expectedElements.add(edge1B);
    assertEquals(expectedElements, results);

    // Check get entity for 1 when query for 1 -> B and specify entities only
    rddQuery = new GetRDDOfElements.Builder<EdgeSeed>().sparkContext(sparkContext)
            .seeds(Collections.singleton(new EdgeSeed("1", "B", false))).includeEntities(true)
            .includeEdges(GetOperation.IncludeEdgeType.NONE).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    expectedElements.clear();
    final Entity entity1 = new Entity(ENTITY_GROUP);
    entity1.setVertex("1");
    expectedElements.add(entity1);
    assertEquals(expectedElements, results);

    // Check get correct edges for 1 -> B when specify edges only
    rddQuery = new GetRDDOfElements.Builder<EdgeSeed>().sparkContext(sparkContext)
            .seeds(Collections.singleton(new EdgeSeed("1", "B", false)))
            .view(new View.Builder().edge(EDGE_GROUP).build()).includeEntities(false)
            .includeEdges(GetOperation.IncludeEdgeType.ALL).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    expectedElements.clear();
    expectedElements.add(edge1B);
    assertEquals(expectedElements, results);

    // Check get correct edges for 1 -> B and 5 -> C
    Set<EdgeSeed> seeds = new HashSet<>();
    seeds.add(new EdgeSeed("1", "B", false));
    seeds.add(new EdgeSeed("5", "C", false));
    rddQuery = new GetRDDOfElements.Builder<EdgeSeed>().sparkContext(sparkContext).includeEntities(false)
            .seeds(seeds).build();
    rddQuery.addOption(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString);
    rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    results.clear();
    returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    final Edge edge5C = new Edge(EDGE_GROUP);
    edge5C.setSource("5");
    edge5C.setDestination("C");
    edge5C.setDirected(false);
    edge5C.putProperty("count", 4);
    expectedElements.clear();
    expectedElements.add(edge1B);
    expectedElements.add(edge5C);
    assertEquals(expectedElements, results);

    sparkContext.stop();
}

---

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.scalardd.ImportKeyValuePairRDDToAccumuloHandlerTest.java

License:Apache License

@Test
public void checkImportRDDOfElements() throws OperationException, IOException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeSchema.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final ArrayBuffer<Element> elements = new ArrayBuffer<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(TestGroups.ENTITY);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(TestGroups.EDGE);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);//from w w w  .j av  a 2s  .c  o  m
        edge1.putProperty(TestPropertyNames.COUNT, 2);

        final Edge edge2 = new Edge(TestGroups.EDGE);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty(TestPropertyNames.COUNT, 4);

        elements.$plus$eq(edge1);
        elements.$plus$eq(edge2);
        elements.$plus$eq(entity);
    }
    final User user = new User();

    final SparkConf sparkConf = new SparkConf().setMaster("local").setAppName("tests")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final SparkContext sparkContext = new SparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);
    final String outputPath = this.getClass().getResource("/").getPath().toString() + "load";
    final String failurePath = this.getClass().getResource("/").getPath().toString() + "failure";
    final File file = new File(outputPath);
    if (file.exists()) {
        FileUtils.forceDelete(file);
    }

    final ElementConverterFunction func = new ElementConverterFunction(sparkContext.broadcast(
            new ByteEntityAccumuloElementConverter(graph1.getSchema()), ACCUMULO_ELEMENT_CONVERTER_CLASS_TAG));
    final RDD<Tuple2<Key, Value>> elementRDD = sparkContext.parallelize(elements, 1, ELEMENT_CLASS_TAG)
            .flatMap(func, TUPLE2_CLASS_TAG);
    final ImportKeyValuePairRDDToAccumulo addRdd = new ImportKeyValuePairRDDToAccumulo.Builder()
            .input(elementRDD).outputPath(outputPath).failurePath(failurePath).build();
    graph1.execute(addRdd, user);
    FileUtils.forceDelete(file);

    // Check all elements were added
    final GetRDDOfAllElements rddQuery = new GetRDDOfAllElements.Builder().sparkContext(sparkContext)
            .option(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString).build();

    final RDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }
    final Set<Element> results = new HashSet<>();
    final Element[] returnedElements = (Element[]) rdd.collect();
    Collections.addAll(results, returnedElements);
    assertEquals(elements.size(), results.size());
    sparkContext.stop();
}

---

From source file:uk.gov.gchq.gaffer.sparkaccumulo.operation.handler.scalardd.ImportRDDOfElementsHandlerTest.java

License:Apache License

@Test
public void checkImportRDDOfElements() throws OperationException, IOException {
    final Graph graph1 = new Graph.Builder()
            .addSchema(getClass().getResourceAsStream("/schema/dataSchema.json"))
            .addSchema(getClass().getResourceAsStream("/schema/dataTypes.json"))
            .addSchema(getClass().getResourceAsStream("/schema/storeTypes.json"))
            .storeProperties(getClass().getResourceAsStream("/store.properties")).build();

    final ArrayBuffer<Element> elements = new ArrayBuffer<>();
    for (int i = 0; i < 10; i++) {
        final Entity entity = new Entity(TestGroups.ENTITY);
        entity.setVertex("" + i);

        final Edge edge1 = new Edge(TestGroups.EDGE);
        edge1.setSource("" + i);
        edge1.setDestination("B");
        edge1.setDirected(false);/*ww w . j a  va  2  s  . c  o  m*/
        edge1.putProperty(TestPropertyNames.COUNT, 2);

        final Edge edge2 = new Edge(TestGroups.EDGE);
        edge2.setSource("" + i);
        edge2.setDestination("C");
        edge2.setDirected(false);
        edge2.putProperty(TestPropertyNames.COUNT, 4);

        elements.$plus$eq(edge1);
        elements.$plus$eq(edge2);
        elements.$plus$eq(entity);
    }
    final User user = new User();

    final SparkConf sparkConf = new SparkConf().setMaster("local").setAppName("tests")
            .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .set("spark.kryo.registrator", "uk.gov.gchq.gaffer.spark.serialisation.kryo.Registrator")
            .set("spark.driver.allowMultipleContexts", "true");
    final SparkContext sparkContext = new SparkContext(sparkConf);

    // Create Hadoop configuration and serialise to a string
    final Configuration configuration = new Configuration();
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    configuration.write(new DataOutputStream(baos));
    final String configurationString = new String(baos.toByteArray(), CommonConstants.UTF_8);
    final String outputPath = this.getClass().getResource("/").getPath().toString() + "load";
    final String failurePath = this.getClass().getResource("/").getPath().toString() + "failure";
    final File file = new File(outputPath);
    if (file.exists()) {
        FileUtils.forceDelete(file);
    }

    final RDD<Element> elementRDD = sparkContext.parallelize(elements, 8, ELEMENT_CLASS_TAG);
    final ImportRDDOfElements addRdd = new ImportRDDOfElements.Builder().sparkContext(sparkContext)
            .input(elementRDD).option("outputPath", outputPath).option("failurePath", failurePath).build();
    graph1.execute(addRdd, user);
    FileUtils.forceDelete(file);

    // Check all elements were added
    final GetRDDOfAllElements rddQuery = new GetRDDOfAllElements.Builder().sparkContext(sparkContext)
            .option(AbstractGetRDDHandler.HADOOP_CONFIGURATION_KEY, configurationString).build();

    final RDD<Element> rdd = graph1.execute(rddQuery, user);
    if (rdd == null) {
        fail("No RDD returned");
    }

    final Set<Element> results = new HashSet<>();
    final Element[] returnedElements = (Element[]) rdd.collect();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    assertEquals(elements.size(), results.size());
    sparkContext.stop();
}

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