Examples with ApplicationManager co.cask.cdap.test.ApplicationManager used on opensource projects

Example 51 with ApplicationManager

use of co.cask.cdap.test.ApplicationManager in project cdap by caskdata.

the class TestFrameworkTestRun method testFlowRuntimeArguments.

@Test
public void testFlowRuntimeArguments() throws Exception {
    ApplicationManager applicationManager = deployApplication(FilterAppWithNewFlowAPI.class);
    Map<String, String> args = Maps.newHashMap();
    args.put("threshold", "10");
    applicationManager.getFlowManager("FilterFlow").start(args);
    StreamManager input = getStreamManager("input");
    input.send("2");
    input.send("21");
    ServiceManager serviceManager = applicationManager.getServiceManager("CountService").start();
    serviceManager.waitForStatus(true, 2, 1);
    Assert.assertEquals("1", new Gson().fromJson(callServiceGet(serviceManager.getServiceURL(), "result"), String.class));
}

Example 52 with ApplicationManager

use of co.cask.cdap.test.ApplicationManager in project cdap by caskdata.

the class TestFrameworkTestRun method testAppWithPlugin.

@Test
public void testAppWithPlugin() throws Exception {
    ArtifactId artifactId = NamespaceId.DEFAULT.artifact("app-with-plugin", "1.0.0-SNAPSHOT");
    addAppArtifact(artifactId, AppWithPlugin.class);
    ArtifactId pluginArtifactId = NamespaceId.DEFAULT.artifact("test-plugin", "1.0.0-SNAPSHOT");
    addPluginArtifact(pluginArtifactId, artifactId, ToStringPlugin.class);
    ApplicationId appId = NamespaceId.DEFAULT.app("AppWithPlugin");
    AppRequest createRequest = new AppRequest(new ArtifactSummary(artifactId.getArtifact(), artifactId.getVersion()));
    ApplicationManager appManager = deployApplication(appId, createRequest);
    final WorkerManager workerManager = appManager.getWorkerManager(AppWithPlugin.WORKER);
    workerManager.start();
    workerManager.waitForStatus(false, 5, 1);
    Tasks.waitFor(false, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            return workerManager.getHistory(ProgramRunStatus.COMPLETED).isEmpty();
        }
    }, 5, TimeUnit.SECONDS, 10, TimeUnit.MILLISECONDS);
    final ServiceManager serviceManager = appManager.getServiceManager(AppWithPlugin.SERVICE);
    serviceManager.start();
    serviceManager.waitForStatus(true, 1, 10);
    URL serviceURL = serviceManager.getServiceURL(5, TimeUnit.SECONDS);
    callServiceGet(serviceURL, "dummy");
    serviceManager.stop();
    serviceManager.waitForStatus(false, 1, 10);
    Tasks.waitFor(false, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            return serviceManager.getHistory(ProgramRunStatus.KILLED).isEmpty();
        }
    }, 5, TimeUnit.SECONDS, 10, TimeUnit.MILLISECONDS);
    WorkflowManager workflowManager = appManager.getWorkflowManager(AppWithPlugin.WORKFLOW);
    workflowManager.start();
    workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
    List<RunRecord> runRecords = workflowManager.getHistory();
    Assert.assertNotEquals(ProgramRunStatus.FAILED, runRecords.get(0).getStatus());
    DataSetManager<KeyValueTable> workflowTableManager = getDataset(AppWithPlugin.WORKFLOW_TABLE);
    String value = Bytes.toString(workflowTableManager.get().read("val"));
    Assert.assertEquals(AppWithPlugin.TEST, value);
    Map<String, String> workflowTags = ImmutableMap.of(Constants.Metrics.Tag.NAMESPACE, NamespaceId.DEFAULT.getNamespace(), Constants.Metrics.Tag.APP, "AppWithPlugin", Constants.Metrics.Tag.WORKFLOW, AppWithPlugin.WORKFLOW, Constants.Metrics.Tag.RUN_ID, runRecords.get(0).getPid());
    getMetricsManager().waitForTotalMetricCount(workflowTags, String.format("user.destroy.%s", AppWithPlugin.WORKFLOW), 1, 60, TimeUnit.SECONDS);
    // Testing Spark Plugins. First send some data to stream for the Spark program to process
    StreamManager streamManager = getStreamManager(AppWithPlugin.SPARK_STREAM);
    for (int i = 0; i < 5; i++) {
        streamManager.send("Message " + i);
    }
    SparkManager sparkManager = appManager.getSparkManager(AppWithPlugin.SPARK).start();
    sparkManager.waitForRun(ProgramRunStatus.COMPLETED, 2, TimeUnit.MINUTES);
    // Verify the Spark result.
    DataSetManager<Table> dataSetManager = getDataset(AppWithPlugin.SPARK_TABLE);
    Table table = dataSetManager.get();
    try (Scanner scanner = table.scan(null, null)) {
        for (int i = 0; i < 5; i++) {
            Row row = scanner.next();
            Assert.assertNotNull(row);
            String expected = "Message " + i + " " + AppWithPlugin.TEST;
            Assert.assertEquals(expected, Bytes.toString(row.getRow()));
            Assert.assertEquals(expected, Bytes.toString(row.get(expected)));
        }
        // There shouldn't be any more rows in the table.
        Assert.assertNull(scanner.next());
    }
}

Example 53 with ApplicationManager

use of co.cask.cdap.test.ApplicationManager in project cdap by caskdata.

the class MessagingAppTestRun method testSparkMessaging.

@Test
public void testSparkMessaging() throws Exception {
    ApplicationManager appManager = deployWithArtifact(NAMESPACE, MessagingApp.class, artifactJar);
    final SparkManager sparkManager = appManager.getSparkManager(MessagingSpark.class.getSimpleName()).start();
    final MessageFetcher fetcher = getMessagingContext().getMessageFetcher();
    final AtomicReference<String> messageId = new AtomicReference<>();
    // Wait for the Spark to create the topic
    final MessagingAdmin messagingAdmin = getMessagingAdmin(NAMESPACE.getNamespace());
    Tasks.waitFor(true, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            try {
                messagingAdmin.getTopicProperties(MessagingApp.TOPIC);
                return true;
            } catch (TopicNotFoundException e) {
                return false;
            }
        }
    }, 60, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    // This is to verify failed transaction is not publishing anything.
    for (String expected : Arrays.asList("start", "block")) {
        Tasks.waitFor(expected, new Callable<String>() {

            @Override
            public String call() throws Exception {
                try (CloseableIterator<Message> iterator = fetcher.fetch(NAMESPACE.getNamespace(), MessagingApp.TOPIC, 1, messageId.get())) {
                    if (!iterator.hasNext()) {
                        return null;
                    }
                    Message message = iterator.next();
                    messageId.set(message.getId());
                    return message.getPayloadAsString();
                }
            }
        }, 60, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    }
    // Publish a control message to unblock the Spark execution
    getMessagingContext().getMessagePublisher().publish(NAMESPACE.getNamespace(), MessagingApp.CONTROL_TOPIC, "go");
    // Expects a result message as "result-15", where 15 is the sum of 1,2,3,4,5
    Tasks.waitFor("result-15", new Callable<String>() {

        @Override
        public String call() throws Exception {
            try (CloseableIterator<Message> iterator = fetcher.fetch(NAMESPACE.getNamespace(), MessagingApp.TOPIC, 1, messageId.get())) {
                if (!iterator.hasNext()) {
                    return null;
                }
                Message message = iterator.next();
                messageId.set(message.getId());
                return message.getPayloadAsString();
            }
        }
    }, 60, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    sparkManager.waitForRun(ProgramRunStatus.COMPLETED, 60, TimeUnit.SECONDS);
}

Example 54 with ApplicationManager

use of co.cask.cdap.test.ApplicationManager in project cdap by caskdata.

the class TestFrameworkTestRun method testConcurrentRuns.

@Test
public void testConcurrentRuns() throws Exception {
    ApplicationManager appManager = deployApplication(ConcurrentRunTestApp.class);
    WorkerManager workerManager = appManager.getWorkerManager(ConcurrentRunTestApp.TestWorker.class.getSimpleName());
    workerManager.start();
    // Start another time should fail as worker doesn't support concurrent run.
    workerManager.waitForStatus(true);
    try {
        workerManager.start();
        Assert.fail("Expected failure to start worker");
    } catch (Exception e) {
        Assert.assertTrue(Throwables.getRootCause(e) instanceof ConflictException);
    }
    workerManager.stop();
    // Start the workflow
    File tmpDir = TEMP_FOLDER.newFolder();
    File actionFile = new File(tmpDir, "action.file");
    Map<String, String> args = Collections.singletonMap("action.file", actionFile.getAbsolutePath());
    WorkflowManager workflowManager = appManager.getWorkflowManager(ConcurrentRunTestApp.TestWorkflow.class.getSimpleName());
    // Starts two runs, both should succeed
    workflowManager.start(args);
    workflowManager.start(args);
    // Should get two active runs
    workflowManager.waitForRuns(ProgramRunStatus.RUNNING, 2, 10L, TimeUnit.SECONDS);
    // Touch the file to complete the workflow runs
    Files.touch(actionFile);
    workflowManager.waitForRuns(ProgramRunStatus.COMPLETED, 2, 10L, TimeUnit.SECONDS);
}

Example 55 with ApplicationManager

use of co.cask.cdap.test.ApplicationManager in project cdap by caskdata.

the class TestFrameworkTestRun method testClusterName.

@Test
public void testClusterName() throws Exception {
    String clusterName = getConfiguration().get(Constants.CLUSTER_NAME);
    ApplicationManager appManager = deployApplication(ClusterNameTestApp.class);
    final DataSetManager<KeyValueTable> datasetManager = getDataset(ClusterNameTestApp.CLUSTER_NAME_TABLE);
    final KeyValueTable clusterNameTable = datasetManager.get();
    // A callable for reading the cluster name from the ClusterNameTable.
    // It is used for Tasks.waitFor call down below.
    final AtomicReference<String> key = new AtomicReference<>();
    Callable<String> readClusterName = new Callable<String>() {

        @Nullable
        @Override
        public String call() throws Exception {
            datasetManager.flush();
            byte[] bytes = clusterNameTable.read(key.get());
            return bytes == null ? null : new String(bytes, StandardCharsets.UTF_8);
        }
    };
    // Service
    ServiceManager serviceManager = appManager.getServiceManager(ClusterNameTestApp.ClusterNameServiceHandler.class.getSimpleName()).start();
    Assert.assertEquals(clusterName, callServiceGet(serviceManager.getServiceURL(10, TimeUnit.SECONDS), "clusterName"));
    serviceManager.stop();
    // Worker
    WorkerManager workerManager = appManager.getWorkerManager(ClusterNameTestApp.ClusterNameWorker.class.getSimpleName()).start();
    key.set("worker.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    // The worker will stop by itself. No need to call stop
    workerManager.waitForRun(ProgramRunStatus.COMPLETED, 10, TimeUnit.SECONDS);
    // Flow
    FlowManager flowManager = appManager.getFlowManager(ClusterNameTestApp.ClusterNameFlow.class.getSimpleName()).start();
    key.set("flow.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    flowManager.stop();
    // MapReduce
    // Setup the input file used by MR
    Location location = this.<FileSet>getDataset(ClusterNameTestApp.INPUT_FILE_SET).get().getLocation("input");
    try (PrintStream printer = new PrintStream(location.getOutputStream(), true, "UTF-8")) {
        for (int i = 0; i < 10; i++) {
            printer.println("Hello World " + i);
        }
    }
    // Setup input and output dataset arguments
    Map<String, String> inputArgs = new HashMap<>();
    FileSetArguments.setInputPath(inputArgs, "input");
    Map<String, String> outputArgs = new HashMap<>();
    FileSetArguments.setOutputPath(outputArgs, "output");
    Map<String, String> args = new HashMap<>();
    args.putAll(RuntimeArguments.addScope(Scope.DATASET, ClusterNameTestApp.INPUT_FILE_SET, inputArgs));
    args.putAll(RuntimeArguments.addScope(Scope.DATASET, ClusterNameTestApp.OUTPUT_FILE_SET, outputArgs));
    MapReduceManager mrManager = appManager.getMapReduceManager(ClusterNameTestApp.ClusterNameMapReduce.class.getSimpleName()).start(args);
    key.set("mr.client.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set("mapper.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set("reducer.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    mrManager.waitForRun(ProgramRunStatus.COMPLETED, 60, TimeUnit.SECONDS);
    // Spark
    SparkManager sparkManager = appManager.getSparkManager(ClusterNameTestApp.ClusterNameSpark.class.getSimpleName()).start();
    key.set("spark.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    sparkManager.waitForRun(ProgramRunStatus.COMPLETED, 60, TimeUnit.SECONDS);
    // Workflow
    // Cleanup the output path for the MR job in the workflow first
    this.<FileSet>getDataset(ClusterNameTestApp.OUTPUT_FILE_SET).get().getLocation("output").delete(true);
    args = RuntimeArguments.addScope(Scope.MAPREDUCE, ClusterNameTestApp.ClusterNameMapReduce.class.getSimpleName(), args);
    WorkflowManager workflowManager = appManager.getWorkflowManager(ClusterNameTestApp.ClusterNameWorkflow.class.getSimpleName()).start(args);
    String prefix = ClusterNameTestApp.ClusterNameWorkflow.class.getSimpleName() + ".";
    key.set(prefix + "mr.client.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set(prefix + "mapper.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set(prefix + "reducer.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set(prefix + "spark.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    key.set(prefix + "action.cluster.name");
    Tasks.waitFor(clusterName, readClusterName, 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 120, TimeUnit.SECONDS);
}