use of org.apache.flink.runtime.jobgraph.tasks.JobSnapshottingSettings in project flink by apache.
the class JobManagerHARecoveryTest method testJobRecoveryWhenLosingLeadership.
/**
* Tests that the persisted job is not removed from the SubmittedJobGraphStore if the JobManager
* loses its leadership. Furthermore, it tests that the job manager can recover the job from
* the SubmittedJobGraphStore and checkpoint state is recovered as well.
*/
@Test
public void testJobRecoveryWhenLosingLeadership() throws Exception {
FiniteDuration timeout = new FiniteDuration(30, TimeUnit.SECONDS);
FiniteDuration jobRecoveryTimeout = new FiniteDuration(3, TimeUnit.SECONDS);
Deadline deadline = new FiniteDuration(2, TimeUnit.MINUTES).fromNow();
Configuration flinkConfiguration = new Configuration();
UUID leaderSessionID = UUID.randomUUID();
UUID newLeaderSessionID = UUID.randomUUID();
int slots = 2;
ActorRef archive = null;
ActorRef jobManager = null;
ActorRef taskManager = null;
flinkConfiguration.setString(HighAvailabilityOptions.HA_MODE, "zookeeper");
flinkConfiguration.setString(HighAvailabilityOptions.HA_STORAGE_PATH, temporaryFolder.newFolder().toString());
flinkConfiguration.setInteger(ConfigConstants.TASK_MANAGER_NUM_TASK_SLOTS, slots);
try {
Scheduler scheduler = new Scheduler(TestingUtils.defaultExecutionContext());
MySubmittedJobGraphStore mySubmittedJobGraphStore = new MySubmittedJobGraphStore();
MyCheckpointStore checkpointStore = new MyCheckpointStore();
CheckpointIDCounter checkpointCounter = new StandaloneCheckpointIDCounter();
CheckpointRecoveryFactory checkpointStateFactory = new MyCheckpointRecoveryFactory(checkpointStore, checkpointCounter);
TestingLeaderElectionService myLeaderElectionService = new TestingLeaderElectionService();
TestingLeaderRetrievalService myLeaderRetrievalService = new TestingLeaderRetrievalService();
InstanceManager instanceManager = new InstanceManager();
instanceManager.addInstanceListener(scheduler);
archive = system.actorOf(Props.create(MemoryArchivist.class, 10));
Props jobManagerProps = Props.create(TestingJobManager.class, flinkConfiguration, TestingUtils.defaultExecutor(), TestingUtils.defaultExecutor(), instanceManager, scheduler, new BlobLibraryCacheManager(new BlobServer(flinkConfiguration), 3600000), archive, new FixedDelayRestartStrategy.FixedDelayRestartStrategyFactory(Int.MaxValue(), 100), timeout, myLeaderElectionService, mySubmittedJobGraphStore, checkpointStateFactory, jobRecoveryTimeout, Option.apply(null));
jobManager = system.actorOf(jobManagerProps);
ActorGateway gateway = new AkkaActorGateway(jobManager, leaderSessionID);
taskManager = TaskManager.startTaskManagerComponentsAndActor(flinkConfiguration, ResourceID.generate(), system, "localhost", Option.apply("taskmanager"), Option.apply((LeaderRetrievalService) myLeaderRetrievalService), true, TestingTaskManager.class);
ActorGateway tmGateway = new AkkaActorGateway(taskManager, leaderSessionID);
Future<Object> tmAlive = tmGateway.ask(TestingMessages.getAlive(), deadline.timeLeft());
Await.ready(tmAlive, deadline.timeLeft());
JobVertex sourceJobVertex = new JobVertex("Source");
sourceJobVertex.setInvokableClass(BlockingStatefulInvokable.class);
sourceJobVertex.setParallelism(slots);
JobGraph jobGraph = new JobGraph("TestingJob", sourceJobVertex);
List<JobVertexID> vertexId = Collections.singletonList(sourceJobVertex.getID());
jobGraph.setSnapshotSettings(new JobSnapshottingSettings(vertexId, vertexId, vertexId, 100, 10 * 60 * 1000, 0, 1, ExternalizedCheckpointSettings.none(), null, true));
BlockingStatefulInvokable.initializeStaticHelpers(slots);
Future<Object> isLeader = gateway.ask(TestingJobManagerMessages.getNotifyWhenLeader(), deadline.timeLeft());
Future<Object> isConnectedToJobManager = tmGateway.ask(new TestingTaskManagerMessages.NotifyWhenRegisteredAtJobManager(jobManager), deadline.timeLeft());
// tell jobManager that he's the leader
myLeaderElectionService.isLeader(leaderSessionID);
// tell taskManager who's the leader
myLeaderRetrievalService.notifyListener(gateway.path(), leaderSessionID);
Await.ready(isLeader, deadline.timeLeft());
Await.ready(isConnectedToJobManager, deadline.timeLeft());
// submit blocking job
Future<Object> jobSubmitted = gateway.ask(new JobManagerMessages.SubmitJob(jobGraph, ListeningBehaviour.DETACHED), deadline.timeLeft());
Await.ready(jobSubmitted, deadline.timeLeft());
// Wait for some checkpoints to complete
BlockingStatefulInvokable.awaitCompletedCheckpoints();
Future<Object> jobRemoved = gateway.ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobGraph.getJobID()), deadline.timeLeft());
// Revoke leadership
myLeaderElectionService.notLeader();
// check that the job gets removed from the JobManager
Await.ready(jobRemoved, deadline.timeLeft());
// but stays in the submitted job graph store
assertTrue(mySubmittedJobGraphStore.contains(jobGraph.getJobID()));
Future<Object> jobRunning = gateway.ask(new TestingJobManagerMessages.NotifyWhenJobStatus(jobGraph.getJobID(), JobStatus.RUNNING), deadline.timeLeft());
// Make JobManager again a leader
myLeaderElectionService.isLeader(newLeaderSessionID);
// tell the TaskManager about it
myLeaderRetrievalService.notifyListener(gateway.path(), newLeaderSessionID);
// wait that the job is recovered and reaches state RUNNING
Await.ready(jobRunning, deadline.timeLeft());
Future<Object> jobFinished = gateway.ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobGraph.getJobID()), deadline.timeLeft());
BlockingInvokable.unblock();
// wait til the job has finished
Await.ready(jobFinished, deadline.timeLeft());
// check that the job has been removed from the submitted job graph store
assertFalse(mySubmittedJobGraphStore.contains(jobGraph.getJobID()));
// Check that state has been recovered
long[] recoveredStates = BlockingStatefulInvokable.getRecoveredStates();
for (long state : recoveredStates) {
boolean isExpected = state >= BlockingStatefulInvokable.NUM_CHECKPOINTS_TO_COMPLETE;
assertTrue("Did not recover checkpoint state correctly, expecting >= " + BlockingStatefulInvokable.NUM_CHECKPOINTS_TO_COMPLETE + ", but state was " + state, isExpected);
}
} finally {
if (archive != null) {
archive.tell(PoisonPill.getInstance(), ActorRef.noSender());
}
if (jobManager != null) {
jobManager.tell(PoisonPill.getInstance(), ActorRef.noSender());
}
if (taskManager != null) {
taskManager.tell(PoisonPill.getInstance(), ActorRef.noSender());
}
}
}
use of org.apache.flink.runtime.jobgraph.tasks.JobSnapshottingSettings in project flink by apache.
the class ExecutionGraphBuilder method buildGraph.
/**
* Builds the ExecutionGraph from the JobGraph.
* If a prior execution graph exists, the JobGraph will be attached. If no prior execution
* graph exists, then the JobGraph will become attach to a new empty execution graph.
*/
public static ExecutionGraph buildGraph(@Nullable ExecutionGraph prior, JobGraph jobGraph, Configuration jobManagerConfig, ScheduledExecutorService futureExecutor, Executor ioExecutor, SlotProvider slotProvider, ClassLoader classLoader, CheckpointRecoveryFactory recoveryFactory, Time timeout, RestartStrategy restartStrategy, MetricGroup metrics, int parallelismForAutoMax, Logger log) throws JobExecutionException, JobException {
checkNotNull(jobGraph, "job graph cannot be null");
final String jobName = jobGraph.getName();
final JobID jobId = jobGraph.getJobID();
// create a new execution graph, if none exists so far
final ExecutionGraph executionGraph;
try {
executionGraph = (prior != null) ? prior : new ExecutionGraph(futureExecutor, ioExecutor, jobId, jobName, jobGraph.getJobConfiguration(), jobGraph.getSerializedExecutionConfig(), timeout, restartStrategy, jobGraph.getUserJarBlobKeys(), jobGraph.getClasspaths(), slotProvider, classLoader, metrics);
} catch (IOException e) {
throw new JobException("Could not create the execution graph.", e);
}
// set the basic properties
executionGraph.setScheduleMode(jobGraph.getScheduleMode());
executionGraph.setQueuedSchedulingAllowed(jobGraph.getAllowQueuedScheduling());
try {
executionGraph.setJsonPlan(JsonPlanGenerator.generatePlan(jobGraph));
} catch (Throwable t) {
log.warn("Cannot create JSON plan for job", t);
// give the graph an empty plan
executionGraph.setJsonPlan("{}");
}
// initialize the vertices that have a master initialization hook
// file output formats create directories here, input formats create splits
final long initMasterStart = System.nanoTime();
log.info("Running initialization on master for job {} ({}).", jobName, jobId);
for (JobVertex vertex : jobGraph.getVertices()) {
String executableClass = vertex.getInvokableClassName();
if (executableClass == null || executableClass.isEmpty()) {
throw new JobSubmissionException(jobId, "The vertex " + vertex.getID() + " (" + vertex.getName() + ") has no invokable class.");
}
if (vertex.getParallelism() == ExecutionConfig.PARALLELISM_AUTO_MAX) {
vertex.setParallelism(parallelismForAutoMax);
}
try {
vertex.initializeOnMaster(classLoader);
} catch (Throwable t) {
throw new JobExecutionException(jobId, "Cannot initialize task '" + vertex.getName() + "': " + t.getMessage(), t);
}
}
log.info("Successfully ran initialization on master in {} ms.", (System.nanoTime() - initMasterStart) / 1_000_000);
// topologically sort the job vertices and attach the graph to the existing one
List<JobVertex> sortedTopology = jobGraph.getVerticesSortedTopologicallyFromSources();
if (log.isDebugEnabled()) {
log.debug("Adding {} vertices from job graph {} ({}).", sortedTopology.size(), jobName, jobId);
}
executionGraph.attachJobGraph(sortedTopology);
if (log.isDebugEnabled()) {
log.debug("Successfully created execution graph from job graph {} ({}).", jobName, jobId);
}
// configure the state checkpointing
JobSnapshottingSettings snapshotSettings = jobGraph.getSnapshotSettings();
if (snapshotSettings != null) {
List<ExecutionJobVertex> triggerVertices = idToVertex(snapshotSettings.getVerticesToTrigger(), executionGraph);
List<ExecutionJobVertex> ackVertices = idToVertex(snapshotSettings.getVerticesToAcknowledge(), executionGraph);
List<ExecutionJobVertex> confirmVertices = idToVertex(snapshotSettings.getVerticesToConfirm(), executionGraph);
CompletedCheckpointStore completedCheckpoints;
CheckpointIDCounter checkpointIdCounter;
try {
int maxNumberOfCheckpointsToRetain = jobManagerConfig.getInteger(CoreOptions.MAX_RETAINED_CHECKPOINTS);
if (maxNumberOfCheckpointsToRetain <= 0) {
// warning and use 1 as the default value if the setting in
// state.checkpoints.max-retained-checkpoints is not greater than 0.
log.warn("The setting for '{} : {}' is invalid. Using default value of {}", CoreOptions.MAX_RETAINED_CHECKPOINTS.key(), maxNumberOfCheckpointsToRetain, CoreOptions.MAX_RETAINED_CHECKPOINTS.defaultValue());
maxNumberOfCheckpointsToRetain = CoreOptions.MAX_RETAINED_CHECKPOINTS.defaultValue();
}
completedCheckpoints = recoveryFactory.createCheckpointStore(jobId, maxNumberOfCheckpointsToRetain, classLoader);
checkpointIdCounter = recoveryFactory.createCheckpointIDCounter(jobId);
} catch (Exception e) {
throw new JobExecutionException(jobId, "Failed to initialize high-availability checkpoint handler", e);
}
// Maximum number of remembered checkpoints
int historySize = jobManagerConfig.getInteger(ConfigConstants.JOB_MANAGER_WEB_CHECKPOINTS_HISTORY_SIZE, ConfigConstants.DEFAULT_JOB_MANAGER_WEB_CHECKPOINTS_HISTORY_SIZE);
CheckpointStatsTracker checkpointStatsTracker = new CheckpointStatsTracker(historySize, ackVertices, snapshotSettings, metrics);
// The default directory for externalized checkpoints
String externalizedCheckpointsDir = jobManagerConfig.getString(ConfigConstants.CHECKPOINTS_DIRECTORY_KEY, null);
// load the state backend for checkpoint metadata.
// if specified in the application, use from there, otherwise load from configuration
final StateBackend metadataBackend;
final StateBackend applicationConfiguredBackend = snapshotSettings.getDefaultStateBackend();
if (applicationConfiguredBackend != null) {
metadataBackend = applicationConfiguredBackend;
log.info("Using application-defined state backend for checkpoint/savepoint metadata: {}.", applicationConfiguredBackend);
} else {
try {
metadataBackend = AbstractStateBackend.loadStateBackendFromConfigOrCreateDefault(jobManagerConfig, classLoader, log);
} catch (IllegalConfigurationException | IOException | DynamicCodeLoadingException e) {
throw new JobExecutionException(jobId, "Could not instantiate configured state backend", e);
}
}
executionGraph.enableCheckpointing(snapshotSettings.getCheckpointInterval(), snapshotSettings.getCheckpointTimeout(), snapshotSettings.getMinPauseBetweenCheckpoints(), snapshotSettings.getMaxConcurrentCheckpoints(), snapshotSettings.getExternalizedCheckpointSettings(), triggerVertices, ackVertices, confirmVertices, checkpointIdCounter, completedCheckpoints, externalizedCheckpointsDir, metadataBackend, checkpointStatsTracker);
}
return executionGraph;
}
use of org.apache.flink.runtime.jobgraph.tasks.JobSnapshottingSettings in project flink by apache.
the class CheckpointConfigHandlerTest method createGraphAndSettings.
private static GraphAndSettings createGraphAndSettings(boolean externalized, boolean exactlyOnce) {
long interval = 18231823L;
long timeout = 996979L;
long minPause = 119191919L;
int maxConcurrent = 12929329;
ExternalizedCheckpointSettings externalizedSetting = externalized ? ExternalizedCheckpointSettings.externalizeCheckpoints(true) : ExternalizedCheckpointSettings.none();
JobSnapshottingSettings settings = new JobSnapshottingSettings(Collections.<JobVertexID>emptyList(), Collections.<JobVertexID>emptyList(), Collections.<JobVertexID>emptyList(), interval, timeout, minPause, maxConcurrent, externalizedSetting, null, exactlyOnce);
AccessExecutionGraph graph = mock(AccessExecutionGraph.class);
when(graph.getJobSnapshottingSettings()).thenReturn(settings);
return new GraphAndSettings(graph, settings, externalizedSetting);
}
use of org.apache.flink.runtime.jobgraph.tasks.JobSnapshottingSettings in project flink by apache.
the class CoordinatorShutdownTest method testCoordinatorShutsDownOnSuccess.
@Test
public void testCoordinatorShutsDownOnSuccess() {
LocalFlinkMiniCluster cluster = null;
try {
Configuration config = new Configuration();
config.setInteger(ConfigConstants.LOCAL_NUMBER_TASK_MANAGER, 1);
config.setInteger(ConfigConstants.TASK_MANAGER_NUM_TASK_SLOTS, 1);
cluster = new LocalFlinkMiniCluster(config, true);
cluster.start();
// build a test graph with snapshotting enabled
JobVertex vertex = new JobVertex("Test Vertex");
vertex.setInvokableClass(BlockingInvokable.class);
List<JobVertexID> vertexIdList = Collections.singletonList(vertex.getID());
JobGraph testGraph = new JobGraph("test job", vertex);
testGraph.setSnapshotSettings(new JobSnapshottingSettings(vertexIdList, vertexIdList, vertexIdList, 5000, 60000, 0L, Integer.MAX_VALUE, ExternalizedCheckpointSettings.none(), null, true));
ActorGateway jmGateway = cluster.getLeaderGateway(TestingUtils.TESTING_DURATION());
FiniteDuration timeout = new FiniteDuration(60, TimeUnit.SECONDS);
JobManagerMessages.SubmitJob submitMessage = new JobManagerMessages.SubmitJob(testGraph, ListeningBehaviour.EXECUTION_RESULT);
// submit is successful, but then the job blocks due to the invokable
Future<Object> submitFuture = jmGateway.ask(submitMessage, timeout);
Await.result(submitFuture, timeout);
// get the execution graph and store the ExecutionGraph reference
Future<Object> jobRequestFuture = jmGateway.ask(new JobManagerMessages.RequestJob(testGraph.getJobID()), timeout);
ExecutionGraph graph = (ExecutionGraph) ((JobManagerMessages.JobFound) Await.result(jobRequestFuture, timeout)).executionGraph();
assertNotNull(graph);
BlockingInvokable.unblock();
graph.waitUntilFinished();
// verify that the coordinator was shut down
CheckpointCoordinator coord = graph.getCheckpointCoordinator();
assertTrue(coord == null || coord.isShutdown());
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
} finally {
if (cluster != null) {
cluster.shutdown();
cluster.awaitTermination();
}
}
}
use of org.apache.flink.runtime.jobgraph.tasks.JobSnapshottingSettings in project flink by apache.
the class JMXJobManagerMetricTest method testJobManagerJMXMetricAccess.
/**
* Tests that metrics registered on the JobManager are actually accessible via JMX.
*
* @throws Exception
*/
@Test
public void testJobManagerJMXMetricAccess() throws Exception {
Deadline deadline = new FiniteDuration(2, TimeUnit.MINUTES).fromNow();
Configuration flinkConfiguration = new Configuration();
flinkConfiguration.setString(ConfigConstants.METRICS_REPORTERS_LIST, "test");
flinkConfiguration.setString(ConfigConstants.METRICS_REPORTER_PREFIX + "test." + ConfigConstants.METRICS_REPORTER_CLASS_SUFFIX, JMXReporter.class.getName());
flinkConfiguration.setString(ConfigConstants.METRICS_REPORTER_PREFIX + "test.port", "9060-9075");
flinkConfiguration.setString(ConfigConstants.METRICS_SCOPE_NAMING_JM_JOB, "jobmanager.<job_name>");
TestingCluster flink = new TestingCluster(flinkConfiguration);
try {
flink.start();
JobVertex sourceJobVertex = new JobVertex("Source");
sourceJobVertex.setInvokableClass(BlockingInvokable.class);
JobGraph jobGraph = new JobGraph("TestingJob", sourceJobVertex);
jobGraph.setSnapshotSettings(new JobSnapshottingSettings(Collections.<JobVertexID>emptyList(), Collections.<JobVertexID>emptyList(), Collections.<JobVertexID>emptyList(), 500, 500, 50, 5, ExternalizedCheckpointSettings.none(), null, true));
flink.waitForActorsToBeAlive();
flink.submitJobDetached(jobGraph);
Future<Object> jobRunning = flink.getLeaderGateway(deadline.timeLeft()).ask(new TestingJobManagerMessages.WaitForAllVerticesToBeRunning(jobGraph.getJobID()), deadline.timeLeft());
Await.ready(jobRunning, deadline.timeLeft());
MBeanServer mBeanServer = ManagementFactory.getPlatformMBeanServer();
Set<ObjectName> nameSet = mBeanServer.queryNames(new ObjectName("org.apache.flink.jobmanager.job.lastCheckpointSize:job_name=TestingJob,*"), null);
Assert.assertEquals(1, nameSet.size());
assertEquals(-1L, mBeanServer.getAttribute(nameSet.iterator().next(), "Value"));
Future<Object> jobFinished = flink.getLeaderGateway(deadline.timeLeft()).ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobGraph.getJobID()), deadline.timeLeft());
BlockingInvokable.unblock();
// wait til the job has finished
Await.ready(jobFinished, deadline.timeLeft());
} finally {
flink.stop();
}
}
Aggregations