Examples with ImportRDDOfElements uk.gov.gchq.gaffer.spark.operation.scalardd.ImportRDDOfElements used on opensource projects

Example 1 with ImportRDDOfElements

use of uk.gov.gchq.gaffer.spark.operation.scalardd.ImportRDDOfElements in project Gaffer by gchq.

the class ImportRDDOfElementsHandlerTest method checkImportRDDOfElements.

@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);
        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();
}