Examples with TestingMiniClusterConfiguration org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration used on opensource projects

Example 1 with TestingMiniClusterConfiguration

use of org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration in project flink by apache.

the class JobDispatcherITCase method testRecoverFromCheckpointAfterLosingAndRegainingLeadership.

@Test
public void testRecoverFromCheckpointAfterLosingAndRegainingLeadership(@TempDir Path tmpPath) throws Exception {
    final Deadline deadline = Deadline.fromNow(TIMEOUT);
    final Configuration configuration = new Configuration();
    configuration.set(HighAvailabilityOptions.HA_MODE, HighAvailabilityMode.ZOOKEEPER.name());
    final TestingMiniClusterConfiguration clusterConfiguration = TestingMiniClusterConfiguration.newBuilder().setConfiguration(configuration).build();
    final EmbeddedHaServicesWithLeadershipControl haServices = new EmbeddedHaServicesWithLeadershipControl(TestingUtils.defaultExecutor());
    final Configuration newConfiguration = new Configuration(clusterConfiguration.getConfiguration());
    final long checkpointInterval = 100;
    final JobID jobID = generateAndPersistJobGraph(newConfiguration, checkpointInterval, tmpPath);
    final TestingMiniCluster.Builder clusterBuilder = TestingMiniCluster.newBuilder(clusterConfiguration).setHighAvailabilityServicesSupplier(() -> haServices).setDispatcherResourceManagerComponentFactorySupplier(createJobModeDispatcherResourceManagerComponentFactorySupplier(newConfiguration));
    AtLeastOneCheckpointInvokable.reset();
    try (final MiniCluster cluster = clusterBuilder.build()) {
        // start mini cluster and submit the job
        cluster.start();
        AtLeastOneCheckpointInvokable.atLeastOneCheckpointCompleted.await();
        final CompletableFuture<JobResult> firstJobResult = cluster.requestJobResult(jobID);
        haServices.revokeDispatcherLeadership();
        // make sure the leadership is revoked to avoid race conditions
        Assertions.assertEquals(ApplicationStatus.UNKNOWN, firstJobResult.get().getApplicationStatus());
        haServices.grantDispatcherLeadership();
        // job is suspended, wait until it's running
        awaitJobStatus(cluster, jobID, JobStatus.RUNNING, deadline);
        CommonTestUtils.waitUntilCondition(() -> cluster.getArchivedExecutionGraph(jobID).get().getCheckpointStatsSnapshot().getLatestRestoredCheckpoint() != null, deadline);
    }
}

Example 2 with TestingMiniClusterConfiguration

use of org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration in project flink by apache.

the class ApplicationDispatcherBootstrapITCase method testDispatcherRecoversAfterLosingAndRegainingLeadership.

@Test
public void testDispatcherRecoversAfterLosingAndRegainingLeadership() throws Exception {
    final String blockId = UUID.randomUUID().toString();
    final Deadline deadline = Deadline.fromNow(TIMEOUT);
    final Configuration configuration = new Configuration();
    configuration.set(HighAvailabilityOptions.HA_MODE, HighAvailabilityMode.ZOOKEEPER.name());
    configuration.set(DeploymentOptions.TARGET, EmbeddedExecutor.NAME);
    configuration.set(ClientOptions.CLIENT_RETRY_PERIOD, Duration.ofMillis(100));
    final TestingMiniClusterConfiguration clusterConfiguration = TestingMiniClusterConfiguration.newBuilder().setConfiguration(configuration).build();
    final EmbeddedHaServicesWithLeadershipControl haServices = new EmbeddedHaServicesWithLeadershipControl(TestingUtils.defaultExecutor());
    final TestingMiniCluster.Builder clusterBuilder = TestingMiniCluster.newBuilder(clusterConfiguration).setHighAvailabilityServicesSupplier(() -> haServices).setDispatcherResourceManagerComponentFactorySupplier(createApplicationModeDispatcherResourceManagerComponentFactorySupplier(clusterConfiguration.getConfiguration(), BlockingJob.getProgram(blockId)));
    try (final MiniCluster cluster = clusterBuilder.build()) {
        // start mini cluster and submit the job
        cluster.start();
        // wait until job is running
        awaitJobStatus(cluster, ApplicationDispatcherBootstrap.ZERO_JOB_ID, JobStatus.RUNNING, deadline);
        // make sure the operator is actually running
        BlockingJob.awaitRunning(blockId);
        final CompletableFuture<JobResult> firstJobResult = cluster.requestJobResult(ApplicationDispatcherBootstrap.ZERO_JOB_ID);
        haServices.revokeDispatcherLeadership();
        // make sure the leadership is revoked to avoid race conditions
        assertThat(firstJobResult.get()).extracting(JobResult::getApplicationStatus).isEqualTo(ApplicationStatus.UNKNOWN);
        haServices.grantDispatcherLeadership();
        // job is suspended, wait until it's running
        awaitJobStatus(cluster, ApplicationDispatcherBootstrap.ZERO_JOB_ID, JobStatus.RUNNING, deadline);
        // unblock processing so the job can finish
        BlockingJob.unblock(blockId);
        // and wait for it to actually finish
        final JobResult secondJobResult = cluster.requestJobResult(ApplicationDispatcherBootstrap.ZERO_JOB_ID).get();
        assertThat(secondJobResult.isSuccess()).isTrue();
        assertThat(secondJobResult.getApplicationStatus()).isEqualTo(ApplicationStatus.SUCCEEDED);
        // the cluster should shut down automatically once the application completes
        awaitClusterStopped(cluster, deadline);
    } finally {
        BlockingJob.cleanUp(blockId);
    }
}

Example 3 with TestingMiniClusterConfiguration

use of org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration in project flink by apache.

the class JobExecutionITCase method testCoLocationConstraintJobExecution.

/**
 * Tests that tasks with a co-location constraint are scheduled in the same slots. In fact it
 * also tests that consumers are scheduled wrt their input location if the co-location
 * constraint is deactivated.
 */
@Test
public void testCoLocationConstraintJobExecution() throws Exception {
    final int numSlotsPerTaskExecutor = 1;
    final int numTaskExecutors = 3;
    final int parallelism = numTaskExecutors * numSlotsPerTaskExecutor;
    final JobGraph jobGraph = createJobGraph(parallelism);
    final TestingMiniClusterConfiguration miniClusterConfiguration = TestingMiniClusterConfiguration.newBuilder().setNumSlotsPerTaskManager(numSlotsPerTaskExecutor).setNumTaskManagers(numTaskExecutors).setLocalCommunication(true).build();
    try (TestingMiniCluster miniCluster = TestingMiniCluster.newBuilder(miniClusterConfiguration).build()) {
        miniCluster.start();
        miniCluster.submitJob(jobGraph).get();
        final CompletableFuture<JobResult> jobResultFuture = miniCluster.requestJobResult(jobGraph.getJobID());
        assertThat(jobResultFuture.get().isSuccess(), is(true));
    }
}

Example 4 with TestingMiniClusterConfiguration

use of org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration in project flink by apache.

the class ApplicationDispatcherBootstrapITCase method testDirtyJobResultRecoveryInApplicationMode.

@Test
public void testDirtyJobResultRecoveryInApplicationMode() throws Exception {
    final Deadline deadline = Deadline.fromNow(TIMEOUT);
    final Configuration configuration = new Configuration();
    configuration.set(HighAvailabilityOptions.HA_MODE, HighAvailabilityMode.ZOOKEEPER.name());
    configuration.set(DeploymentOptions.TARGET, EmbeddedExecutor.NAME);
    configuration.set(ClientOptions.CLIENT_RETRY_PERIOD, Duration.ofMillis(100));
    final TestingMiniClusterConfiguration clusterConfiguration = TestingMiniClusterConfiguration.newBuilder().setConfiguration(configuration).build();
    // having a dirty entry in the JobResultStore should make the ApplicationDispatcherBootstrap
    // implementation fail to submit the job
    final JobResultStore jobResultStore = new EmbeddedJobResultStore();
    jobResultStore.createDirtyResult(new JobResultEntry(TestingJobResultStore.createSuccessfulJobResult(ApplicationDispatcherBootstrap.ZERO_JOB_ID)));
    final EmbeddedHaServicesWithLeadershipControl haServices = new EmbeddedHaServicesWithLeadershipControl(TestingUtils.defaultExecutor()) {

        @Override
        public JobResultStore getJobResultStore() {
            return jobResultStore;
        }
    };
    final TestingMiniCluster.Builder clusterBuilder = TestingMiniCluster.newBuilder(clusterConfiguration).setHighAvailabilityServicesSupplier(() -> haServices).setDispatcherResourceManagerComponentFactorySupplier(createApplicationModeDispatcherResourceManagerComponentFactorySupplier(clusterConfiguration.getConfiguration(), ErrorHandlingSubmissionJob.createPackagedProgram()));
    try (final MiniCluster cluster = clusterBuilder.build()) {
        // start mini cluster and submit the job
        cluster.start();
        // the cluster should shut down automatically once the application completes
        awaitClusterStopped(cluster, deadline);
    }
    FlinkAssertions.assertThatChainOfCauses(ErrorHandlingSubmissionJob.getSubmissionException()).as("The job's main method shouldn't have been succeeded due to a DuplicateJobSubmissionException.").hasAtLeastOneElementOfType(DuplicateJobSubmissionException.class);
    assertThat(jobResultStore.hasDirtyJobResultEntry(ApplicationDispatcherBootstrap.ZERO_JOB_ID)).isFalse();
    assertThat(jobResultStore.hasCleanJobResultEntry(ApplicationDispatcherBootstrap.ZERO_JOB_ID)).isTrue();
}

Example 5 with TestingMiniClusterConfiguration

use of org.apache.flink.runtime.minicluster.TestingMiniClusterConfiguration in project flink by apache.

the class ApplicationDispatcherBootstrapITCase method testSubmitFailedJobOnApplicationError.

@Test
public void testSubmitFailedJobOnApplicationError() throws Exception {
    final Deadline deadline = Deadline.fromNow(TIMEOUT);
    final JobID jobId = new JobID();
    final Configuration configuration = new Configuration();
    configuration.set(HighAvailabilityOptions.HA_MODE, HighAvailabilityMode.ZOOKEEPER.name());
    configuration.set(DeploymentOptions.TARGET, EmbeddedExecutor.NAME);
    configuration.set(ClientOptions.CLIENT_RETRY_PERIOD, Duration.ofMillis(100));
    configuration.set(DeploymentOptions.SHUTDOWN_ON_APPLICATION_FINISH, false);
    configuration.set(DeploymentOptions.SUBMIT_FAILED_JOB_ON_APPLICATION_ERROR, true);
    configuration.set(PipelineOptionsInternal.PIPELINE_FIXED_JOB_ID, jobId.toHexString());
    final TestingMiniClusterConfiguration clusterConfiguration = TestingMiniClusterConfiguration.newBuilder().setConfiguration(configuration).build();
    final EmbeddedHaServicesWithLeadershipControl haServices = new EmbeddedHaServicesWithLeadershipControl(TestingUtils.defaultExecutor());
    final TestingMiniCluster.Builder clusterBuilder = TestingMiniCluster.newBuilder(clusterConfiguration).setHighAvailabilityServicesSupplier(() -> haServices).setDispatcherResourceManagerComponentFactorySupplier(createApplicationModeDispatcherResourceManagerComponentFactorySupplier(clusterConfiguration.getConfiguration(), FailingJob.getProgram()));
    try (final MiniCluster cluster = clusterBuilder.build()) {
        // start mini cluster and submit the job
        cluster.start();
        // wait until the failed job has been submitted
        awaitJobStatus(cluster, jobId, JobStatus.FAILED, deadline);
        final ArchivedExecutionGraph graph = cluster.getArchivedExecutionGraph(jobId).get();
        assertThat(graph.getJobID()).isEqualTo(jobId);
        assertThat(graph.getJobName()).isEqualTo(ApplicationDispatcherBootstrap.FAILED_JOB_NAME);
        assertThat(graph.getFailureInfo()).isNotNull().extracting(ErrorInfo::getException).extracting(e -> e.deserializeError(Thread.currentThread().getContextClassLoader())).satisfies(e -> assertThat(e).isInstanceOf(ProgramInvocationException.class).hasRootCauseInstanceOf(RuntimeException.class).hasRootCauseMessage(FailingJob.EXCEPTION_MESSAGE));
    }
}