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

Example 76 with ApplicationManager

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

the class DataPipelineTest method testAlertPublisher.

private void testAlertPublisher(Engine engine) throws Exception {
    String sourceName = "alertSource" + engine.name();
    String sinkName = "alertSink" + engine.name();
    String topic = "alertTopic" + engine.name();
    /*
     * source --> nullAlert --> sink
     *               |
     *               |--> TMS publisher
     */
    ETLBatchConfig config = ETLBatchConfig.builder("* * * * *").setEngine(engine).addStage(new ETLStage("source", MockSource.getPlugin(sourceName))).addStage(new ETLStage("nullAlert", NullAlertTransform.getPlugin("id"))).addStage(new ETLStage("sink", MockSink.getPlugin(sinkName))).addStage(new ETLStage("tms", TMSAlertPublisher.getPlugin(topic, NamespaceId.DEFAULT.getNamespace()))).addConnection("source", "nullAlert").addConnection("nullAlert", "sink").addConnection("nullAlert", "tms").build();
    AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, config);
    ApplicationId appId = NamespaceId.DEFAULT.app("AlertTest-" + engine);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    Schema schema = Schema.recordOf("x", Schema.Field.of("id", Schema.nullableOf(Schema.of(Schema.Type.LONG))));
    StructuredRecord record1 = StructuredRecord.builder(schema).set("id", 1L).build();
    StructuredRecord record2 = StructuredRecord.builder(schema).set("id", 2L).build();
    StructuredRecord alertRecord = StructuredRecord.builder(schema).build();
    DataSetManager<Table> sourceTable = getDataset(sourceName);
    MockSource.writeInput(sourceTable, ImmutableList.of(record1, record2, alertRecord));
    WorkflowManager manager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    manager.start();
    manager.waitForRun(ProgramRunStatus.COMPLETED, 3, TimeUnit.MINUTES);
    DataSetManager<Table> sinkTable = getDataset(sinkName);
    Set<StructuredRecord> actual = new HashSet<>(MockSink.readOutput(sinkTable));
    Set<StructuredRecord> expected = ImmutableSet.of(record1, record2);
    Assert.assertEquals(expected, actual);
    MessageFetcher messageFetcher = getMessagingContext().getMessageFetcher();
    Set<Alert> actualMessages = new HashSet<>();
    try (CloseableIterator<Message> iter = messageFetcher.fetch(NamespaceId.DEFAULT.getNamespace(), topic, 5, 0)) {
        while (iter.hasNext()) {
            Message message = iter.next();
            Alert alert = GSON.fromJson(message.getPayloadAsString(), Alert.class);
            actualMessages.add(alert);
        }
    }
    Set<Alert> expectedMessages = ImmutableSet.of(new Alert("nullAlert", new HashMap<String, String>()));
    Assert.assertEquals(expectedMessages, actualMessages);
    validateMetric(3, appId, "source.records.out");
    validateMetric(3, appId, "nullAlert.records.in");
    validateMetric(2, appId, "nullAlert.records.out");
    validateMetric(1, appId, "nullAlert.records.alert");
    validateMetric(2, appId, "sink.records.in");
    validateMetric(1, appId, "tms.records.in");
}

Example 77 with ApplicationManager

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

the class DataPipelineTest method testMacrosSparkPipeline.

/**
 * Tests that if macros are provided
 */
@Test
public void testMacrosSparkPipeline() throws Exception {
    /*
     * Trivial Spark pipeline from batch source to batch sink.
     *
     * source --------- sink
     */
    ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").setEngine(Engine.SPARK).addStage(new ETLStage("source", MockRuntimeDatasetSource.getPlugin("sparkinput", "${runtime${source}}"))).addStage(new ETLStage("sink", MockRuntimeDatasetSink.getPlugin("sparkoutput", "${runtime}${sink}"))).addConnection("source", "sink").build();
    AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("SparkApp");
    ApplicationManager appManager = deployApplication(appId, appRequest);
    // set runtime arguments for macro substitution
    Map<String, String> runtimeArguments = ImmutableMap.of("runtime", "mockRuntime", "sink", "SparkSinkDataset", "source", "Source", "runtimeSource", "mockRuntimeSparkSourceDataset");
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.setRuntimeArgs(runtimeArguments);
    // make sure the datasets don't exist beforehand
    Assert.assertNull(getDataset("mockRuntimeSparkSourceDataset").get());
    Assert.assertNull(getDataset("mockRuntimeSparkSinkDataset").get());
    workflowManager.start();
    workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
    // now the datasets should exist
    Assert.assertNotNull(getDataset("mockRuntimeSparkSourceDataset").get());
    Assert.assertNotNull(getDataset("mockRuntimeSparkSinkDataset").get());
}

Example 78 with ApplicationManager

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

the class DataPipelineTest method testPostAction.

@Test
public void testPostAction() throws Exception {
    ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("source", MockSource.getPlugin("actionInput"))).addStage(new ETLStage("sink", MockSink.getPlugin("actionOutput"))).addPostAction(new ETLStage("tokenWriter", NodeStatesAction.getPlugin("tokenTable"))).addConnection("source", "sink").build();
    AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("ActionApp");
    ApplicationManager appManager = deployApplication(appId, appRequest);
    Schema schema = Schema.recordOf("testRecord", Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
    StructuredRecord recordSamuel = StructuredRecord.builder(schema).set("name", "samuel").build();
    StructuredRecord recordBob = StructuredRecord.builder(schema).set("name", "bob").build();
    StructuredRecord recordJane = StructuredRecord.builder(schema).set("name", "jane").build();
    DataSetManager<Table> inputManager = getDataset(NamespaceId.DEFAULT.dataset("actionInput"));
    MockSource.writeInput(inputManager, ImmutableList.of(recordSamuel, recordBob, recordJane));
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.start();
    workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
    DataSetManager<Table> tokenTableManager = getDataset(NamespaceId.DEFAULT.dataset("tokenTable"));
    Table tokenTable = tokenTableManager.get();
    NodeStatus status = NodeStatus.valueOf(Bytes.toString(tokenTable.get(Bytes.toBytes("phase-1"), Bytes.toBytes("status"))));
    Assert.assertEquals(NodeStatus.COMPLETED, status);
}

Example 79 with ApplicationManager

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

the class DataPipelineTest method deployPipelineWithSchedule.

private WorkflowManager deployPipelineWithSchedule(String pipelineName, Engine engine, String triggeringPipelineName, ArgumentMapping key1Mapping, String expectedKey1Value, PluginPropertyMapping key2Mapping, String expectedKey2Value) throws Exception {
    String tableName = "actionScheduleTable" + pipelineName + engine;
    String sourceName = "macroActionWithScheduleInput-" + pipelineName + engine;
    String sinkName = "macroActionWithScheduleOutput-" + pipelineName + engine;
    String key1 = key1Mapping.getTarget();
    String key2 = key2Mapping.getTarget();
    ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("action1", MockAction.getPlugin(tableName, "row1", "column1", String.format("${%s}", key1)))).addStage(new ETLStage("action2", MockAction.getPlugin(tableName, "row2", "column2", String.format("${%s}", key2)))).addStage(new ETLStage("source", MockSource.getPlugin(sourceName))).addStage(new ETLStage("filter1", StringValueFilterTransform.getPlugin("name", String.format("${%s}", key1)))).addStage(new ETLStage("filter2", StringValueFilterTransform.getPlugin("name", String.format("${%s}", key2)))).addStage(new ETLStage("sink", MockSink.getPlugin(sinkName))).addConnection("action1", "action2").addConnection("action2", "source").addConnection("source", "filter1").addConnection("filter1", "filter2").addConnection("filter2", "sink").setEngine(engine).build();
    AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app(pipelineName);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    // there should be only two programs - one workflow and one mapreduce/spark
    Schema schema = Schema.recordOf("testRecord", Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
    // Use the expectedKey1Value and expectedKey2Value as values for two records, so that Only record "samuel"
    StructuredRecord recordSamuel = StructuredRecord.builder(schema).set("name", "samuel").build();
    StructuredRecord recordKey1Value = StructuredRecord.builder(schema).set("name", expectedKey1Value).build();
    StructuredRecord recordKey2Value = StructuredRecord.builder(schema).set("name", expectedKey2Value).build();
    // write one record to each source
    DataSetManager<Table> inputManager = getDataset(sourceName);
    MockSource.writeInput(inputManager, ImmutableList.of(recordSamuel, recordKey1Value, recordKey2Value));
    String defaultNamespace = NamespaceId.DEFAULT.getNamespace();
    // Use properties from the triggering pipeline as values for runtime argument key1, key2
    TriggeringPropertyMapping propertyMapping = new TriggeringPropertyMapping(ImmutableList.of(key1Mapping), ImmutableList.of(key2Mapping));
    ProgramStatusTrigger completeTrigger = new ProgramStatusTrigger(new WorkflowId(defaultNamespace, triggeringPipelineName, SmartWorkflow.NAME), ImmutableSet.of(ProgramStatus.COMPLETED));
    ScheduleId scheduleId = appId.schedule("completeSchedule");
    appManager.addSchedule(new ScheduleDetail(scheduleId.getNamespace(), scheduleId.getApplication(), scheduleId.getVersion(), scheduleId.getSchedule(), "", new ScheduleProgramInfo(SchedulableProgramType.WORKFLOW, SmartWorkflow.NAME), ImmutableMap.of(SmartWorkflow.TRIGGERING_PROPERTIES_MAPPING, GSON.toJson(propertyMapping)), completeTrigger, ImmutableList.<Constraint>of(), Schedulers.JOB_QUEUE_TIMEOUT_MILLIS, null));
    appManager.enableSchedule(scheduleId);
    return appManager.getWorkflowManager(SmartWorkflow.NAME);
}

Example 80 with ApplicationManager

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

the class DataPipelineTest method testSimpleMultiSource.

private void testSimpleMultiSource(Engine engine) throws Exception {
    /*
     * source1 --|
     *           |--> sleep --> sink
     * source2 --|
     */
    String source1Name = String.format("simpleMSInput1-%s", engine);
    String source2Name = String.format("simpleMSInput2-%s", engine);
    String sinkName = String.format("simpleMSOutput-%s", engine);
    ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("source1", MockSource.getPlugin(source1Name))).addStage(new ETLStage("source2", MockSource.getPlugin(source2Name))).addStage(new ETLStage("sleep", SleepTransform.getPlugin(2L))).addStage(new ETLStage("sink", MockSink.getPlugin(sinkName))).addConnection("source1", "sleep").addConnection("source2", "sleep").addConnection("sleep", "sink").setEngine(engine).build();
    AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("SimpleMultiSourceApp-" + engine);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    // there should be only two programs - one workflow and one mapreduce/spark
    Assert.assertEquals(2, appManager.getInfo().getPrograms().size());
    Schema schema = Schema.recordOf("testRecord", Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
    StructuredRecord recordSamuel = StructuredRecord.builder(schema).set("name", "samuel").build();
    StructuredRecord recordBob = StructuredRecord.builder(schema).set("name", "bob").build();
    StructuredRecord recordVincent = StructuredRecord.builder(schema).set("name", "vincent").build();
    // write one record to each source
    DataSetManager<Table> inputManager = getDataset(NamespaceId.DEFAULT.dataset(source1Name));
    MockSource.writeInput(inputManager, ImmutableList.of(recordSamuel, recordVincent));
    inputManager = getDataset(NamespaceId.DEFAULT.dataset(source2Name));
    MockSource.writeInput(inputManager, ImmutableList.of(recordBob));
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.start();
    workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
    // check sink
    DataSetManager<Table> sinkManager = getDataset(sinkName);
    Set<StructuredRecord> expected = ImmutableSet.of(recordSamuel, recordBob, recordVincent);
    Set<StructuredRecord> actual = Sets.newHashSet(MockSink.readOutput(sinkManager));
    Assert.assertEquals(expected, actual);
    validateMetric(2, appId, "source1.records.out");
    validateMetric(1, appId, "source2.records.out");
    validateMetric(3, appId, "sleep.records.in");
    validateMetric(3, appId, "sleep.records.out");
    validateMetric(3, appId, "sink.records.in");
    Assert.assertTrue(getMetric(appId, "sleep." + co.cask.cdap.etl.common.Constants.Metrics.TOTAL_TIME) > 0L);
    try (CloseableIterator<Message> messages = getMessagingContext().getMessageFetcher().fetch(appId.getNamespace(), "sleepTopic", 10, null)) {
        Assert.assertTrue(messages.hasNext());
        Assert.assertEquals("2", messages.next().getPayloadAsString());
        Assert.assertFalse(messages.hasNext());
    }
    getMessagingAdmin(appId.getNamespace()).deleteTopic("sleepTopic");
}