Examples with MapReduceSpecification io.cdap.cdap.api.mapreduce.MapReduceSpecification used on opensource projects

Example 11 with MapReduceSpecification

use of io.cdap.cdap.api.mapreduce.MapReduceSpecification in project cdap by caskdata.

the class ApplicationRegistrationStage method registerDatasets.

// Register dataset usage, based upon the program specifications.
// Note that worker specifications' datasets are not registered upon app deploy because the useDataset of the
// WorkerConfigurer is deprecated. Workers' access to datasets is aimed to be completely dynamic. Other programs are
// moving in this direction.
// Also, SparkSpecifications are the same in that a Spark program's dataset access is completely dynamic.
private void registerDatasets(ApplicationWithPrograms input) {
    ApplicationSpecification appSpec = input.getSpecification();
    ApplicationId appId = input.getApplicationId();
    NamespaceId namespaceId = appId.getParent();
    for (MapReduceSpecification program : appSpec.getMapReduce().values()) {
        ProgramId programId = appId.mr(program.getName());
        for (String dataset : program.getDataSets()) {
            usageRegistry.register(programId, namespaceId.dataset(dataset));
        }
    }
    for (SparkSpecification sparkSpec : appSpec.getSpark().values()) {
        ProgramId programId = appId.spark(sparkSpec.getName());
        for (String dataset : sparkSpec.getDatasets()) {
            usageRegistry.register(programId, namespaceId.dataset(dataset));
        }
    }
    for (ServiceSpecification serviceSpecification : appSpec.getServices().values()) {
        ProgramId programId = appId.service(serviceSpecification.getName());
        for (HttpServiceHandlerSpecification handlerSpecification : serviceSpecification.getHandlers().values()) {
            for (String dataset : handlerSpecification.getDatasets()) {
                usageRegistry.register(programId, namespaceId.dataset(dataset));
            }
        }
    }
}

Example 12 with MapReduceSpecification

use of io.cdap.cdap.api.mapreduce.MapReduceSpecification in project cdap by caskdata.

the class ApplicationSpecificationCodec method deserialize.

@Override
public ApplicationSpecification deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {
    JsonObject jsonObj = json.getAsJsonObject();
    String name = jsonObj.get("name").getAsString();
    String appVersion = ApplicationId.DEFAULT_VERSION;
    if (jsonObj.has("appVersion")) {
        appVersion = jsonObj.get("appVersion").getAsString();
    }
    String appCDAPVersion = jsonObj.has("appCDAPVersion") ? jsonObj.get("appCDAPVersion").getAsString() : null;
    String description = jsonObj.get("description").getAsString();
    String configuration = null;
    if (jsonObj.has("configuration")) {
        configuration = jsonObj.get("configuration").getAsString();
    }
    ArtifactId artifactId = context.deserialize(jsonObj.get("artifactId"), ArtifactId.class);
    Map<String, String> datasetModules = deserializeMap(jsonObj.get("datasetModules"), context, String.class);
    Map<String, DatasetCreationSpec> datasetInstances = deserializeMap(jsonObj.get("datasetInstances"), context, DatasetCreationSpec.class);
    Map<String, MapReduceSpecification> mapReduces = deserializeMap(jsonObj.get("mapReduces"), context, MapReduceSpecification.class);
    Map<String, SparkSpecification> sparks = deserializeMap(jsonObj.get("sparks"), context, SparkSpecification.class);
    Map<String, WorkflowSpecification> workflows = deserializeMap(jsonObj.get("workflows"), context, WorkflowSpecification.class);
    Map<String, ServiceSpecification> services = deserializeMap(jsonObj.get("services"), context, ServiceSpecification.class);
    Map<String, ScheduleCreationSpec> programSchedules = deserializeMap(jsonObj.get("programSchedules"), context, ScheduleCreationSpec.class);
    Map<String, WorkerSpecification> workers = deserializeMap(jsonObj.get("workers"), context, WorkerSpecification.class);
    Map<String, Plugin> plugins = deserializeMap(jsonObj.get("plugins"), context, Plugin.class);
    return new DefaultApplicationSpecification(name, appVersion, appCDAPVersion, description, configuration, artifactId, datasetModules, datasetInstances, mapReduces, sparks, workflows, services, programSchedules, workers, plugins);
}

Example 13 with MapReduceSpecification

use of io.cdap.cdap.api.mapreduce.MapReduceSpecification in project cdap by caskdata.

the class DefaultAppConfigurer method addMapReduce.

@Override
public void addMapReduce(MapReduce mapReduce) {
    Preconditions.checkArgument(mapReduce != null, "MapReduce cannot be null.");
    DefaultMapReduceConfigurer configurer = new DefaultMapReduceConfigurer(mapReduce, deployNamespace, artifactId, pluginFinder, pluginInstantiator, runtimeInfo, getFeatureFlagsProvider());
    mapReduce.configure(configurer);
    addDatasetsAndPlugins(configurer);
    MapReduceSpecification spec = configurer.createSpecification();
    mapReduces.put(spec.getName(), spec);
}

Example 14 with MapReduceSpecification

use of io.cdap.cdap.api.mapreduce.MapReduceSpecification in project cdap by cdapio.

the class DefaultStoreTest method testLoadingProgram.

@Test
public void testLoadingProgram() throws Exception {
    ApplicationSpecification appSpec = Specifications.from(new FooApp());
    ApplicationId appId = NamespaceId.DEFAULT.app(appSpec.getName());
    store.addApplication(appId, appSpec);
    ProgramDescriptor descriptor = store.loadProgram(appId.mr("mrJob1"));
    Assert.assertNotNull(descriptor);
    MapReduceSpecification mrSpec = descriptor.getSpecification();
    Assert.assertEquals("mrJob1", mrSpec.getName());
    Assert.assertEquals(FooMapReduceJob.class.getName(), mrSpec.getClassName());
}

Example 15 with MapReduceSpecification

use of io.cdap.cdap.api.mapreduce.MapReduceSpecification in project cdap by cdapio.

the class DistributedMapReduceProgramRunner method setupLaunchConfig.

@Override
protected void setupLaunchConfig(ProgramLaunchConfig launchConfig, Program program, ProgramOptions options, CConfiguration cConf, Configuration hConf, File tempDir) {
    ApplicationSpecification appSpec = program.getApplicationSpecification();
    MapReduceSpecification spec = appSpec.getMapReduce().get(program.getName());
    // Get the resource for the container that runs the mapred client that will launch the actual mapred job.
    Map<String, String> clientArgs = RuntimeArguments.extractScope("task", "client", options.getUserArguments().asMap());
    // Add runnable. Only one instance for the MR driver
    launchConfig.addRunnable(spec.getName(), new MapReduceTwillRunnable(spec.getName()), 1, clientArgs, spec.getDriverResources(), 0);
    if (clusterMode == ClusterMode.ON_PREMISE || cConf.getBoolean(Constants.AppFabric.PROGRAM_REMOTE_RUNNER, false)) {
        // Add extra resources, classpath and dependencies
        launchConfig.addExtraResources(MapReduceContainerHelper.localizeFramework(hConf, new HashMap<>())).addExtraClasspath(MapReduceContainerHelper.addMapReduceClassPath(hConf, new ArrayList<>())).addExtraDependencies(YarnClientProtocolProvider.class);
    }
}