/**
* Tests that a job with non partitioned state can be restarted from a savepoint with a different
* parallelism if the operator with non-partitioned state are not rescaled.
*
* @throws Exception
*/
@Test
public void testSavepointRescalingWithKeyedAndNonPartitionedState() throws Exception {
int numberKeys = 42;
int numberElements = 1000;
int numberElements2 = 500;
int parallelism = numSlots / 2;
int parallelism2 = numSlots;
int maxParallelism = 13;
FiniteDuration timeout = new FiniteDuration(3, TimeUnit.MINUTES);
Deadline deadline = timeout.fromNow();
ActorGateway jobManager = null;
JobID jobID = null;
try {
jobManager = cluster.getLeaderGateway(deadline.timeLeft());
JobGraph jobGraph =
createJobGraphWithKeyedAndNonPartitionedOperatorState(
parallelism, maxParallelism, parallelism, numberKeys, numberElements, false, 100);
jobID = jobGraph.getJobID();
cluster.submitJobDetached(jobGraph);
// wait til the sources have emitted numberElements for each key and completed a checkpoint
SubtaskIndexFlatMapper.workCompletedLatch.await(
deadline.timeLeft().toMillis(), TimeUnit.MILLISECONDS);
// verify the current state
Set<Tuple2<Integer, Integer>> actualResult = CollectionSink.getElementsSet();
Set<Tuple2<Integer, Integer>> expectedResult = new HashSet<>();
for (int key = 0; key < numberKeys; key++) {
int keyGroupIndex = KeyGroupRangeAssignment.assignToKeyGroup(key, maxParallelism);
expectedResult.add(
Tuple2.of(
KeyGroupRangeAssignment.computeOperatorIndexForKeyGroup(
maxParallelism, parallelism, keyGroupIndex),
numberElements * key));
}
assertEquals(expectedResult, actualResult);
// clear the CollectionSink set for the restarted job
CollectionSink.clearElementsSet();
Future<Object> savepointPathFuture =
jobManager.ask(new JobManagerMessages.TriggerSavepoint(jobID), deadline.timeLeft());
final String savepointPath =
((JobManagerMessages.TriggerSavepointSuccess)
Await.result(savepointPathFuture, deadline.timeLeft()))
.savepointPath();
Future<Object> jobRemovedFuture =
jobManager.ask(
new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), deadline.timeLeft());
Future<Object> cancellationResponseFuture =
jobManager.ask(new JobManagerMessages.CancelJob(jobID), deadline.timeLeft());
Object cancellationResponse = Await.result(cancellationResponseFuture, deadline.timeLeft());
assertTrue(cancellationResponse instanceof JobManagerMessages.CancellationSuccess);
Await.ready(jobRemovedFuture, deadline.timeLeft());
jobID = null;
JobGraph scaledJobGraph =
createJobGraphWithKeyedAndNonPartitionedOperatorState(
parallelism2,
maxParallelism,
parallelism,
numberKeys,
numberElements + numberElements2,
true,
100);
scaledJobGraph.setSavepointPath(savepointPath);
jobID = scaledJobGraph.getJobID();
cluster.submitJobAndWait(scaledJobGraph, false);
jobID = null;
Set<Tuple2<Integer, Integer>> actualResult2 = CollectionSink.getElementsSet();
Set<Tuple2<Integer, Integer>> expectedResult2 = new HashSet<>();
for (int key = 0; key < numberKeys; key++) {
int keyGroupIndex = KeyGroupRangeAssignment.assignToKeyGroup(key, maxParallelism);
expectedResult2.add(
Tuple2.of(
KeyGroupRangeAssignment.computeOperatorIndexForKeyGroup(
maxParallelism, parallelism2, keyGroupIndex),
key * (numberElements + numberElements2)));
}
assertEquals(expectedResult2, actualResult2);
} finally {
// clear the CollectionSink set for the restarted job
CollectionSink.clearElementsSet();
// clear any left overs from a possibly failed job
if (jobID != null && jobManager != null) {
Future<Object> jobRemovedFuture =
jobManager.ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), timeout);
try {
Await.ready(jobRemovedFuture, timeout);
} catch (TimeoutException | InterruptedException ie) {
fail("Failed while cleaning up the cluster.");
}
}
}
}
/**
* Tests rescaling of partitioned operator state. More specific, we test the mechanism with {@link
* ListCheckpointed} as it subsumes {@link
* org.apache.flink.streaming.api.checkpoint.CheckpointedFunction}.
*/
public void testSavepointRescalingPartitionedOperatorState(boolean scaleOut) throws Exception {
final int parallelism = scaleOut ? numSlots : numSlots / 2;
final int parallelism2 = scaleOut ? numSlots / 2 : numSlots;
final int maxParallelism = 13;
FiniteDuration timeout = new FiniteDuration(3, TimeUnit.MINUTES);
Deadline deadline = timeout.fromNow();
JobID jobID = null;
ActorGateway jobManager = null;
int counterSize = Math.max(parallelism, parallelism2);
PartitionedStateSource.CHECK_CORRECT_SNAPSHOT = new int[counterSize];
PartitionedStateSource.CHECK_CORRECT_RESTORE = new int[counterSize];
try {
jobManager = cluster.getLeaderGateway(deadline.timeLeft());
JobGraph jobGraph = createJobGraphWithOperatorState(parallelism, maxParallelism, true);
jobID = jobGraph.getJobID();
cluster.submitJobDetached(jobGraph);
Object savepointResponse = null;
// wait until the operator is started
StateSourceBase.workStartedLatch.await();
while (deadline.hasTimeLeft()) {
Future<Object> savepointPathFuture =
jobManager.ask(new JobManagerMessages.TriggerSavepoint(jobID), deadline.timeLeft());
FiniteDuration waitingTime = new FiniteDuration(10, TimeUnit.SECONDS);
savepointResponse = Await.result(savepointPathFuture, waitingTime);
if (savepointResponse instanceof JobManagerMessages.TriggerSavepointSuccess) {
break;
}
}
assertTrue(savepointResponse instanceof JobManagerMessages.TriggerSavepointSuccess);
final String savepointPath =
((JobManagerMessages.TriggerSavepointSuccess) savepointResponse).savepointPath();
Future<Object> jobRemovedFuture =
jobManager.ask(
new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), deadline.timeLeft());
Future<Object> cancellationResponseFuture =
jobManager.ask(new JobManagerMessages.CancelJob(jobID), deadline.timeLeft());
Object cancellationResponse = Await.result(cancellationResponseFuture, deadline.timeLeft());
assertTrue(cancellationResponse instanceof JobManagerMessages.CancellationSuccess);
Await.ready(jobRemovedFuture, deadline.timeLeft());
// job successfully removed
jobID = null;
JobGraph scaledJobGraph = createJobGraphWithOperatorState(parallelism2, maxParallelism, true);
scaledJobGraph.setSavepointPath(savepointPath);
jobID = scaledJobGraph.getJobID();
cluster.submitJobAndWait(scaledJobGraph, false);
int sumExp = 0;
int sumAct = 0;
for (int c : PartitionedStateSource.CHECK_CORRECT_SNAPSHOT) {
sumExp += c;
}
for (int c : PartitionedStateSource.CHECK_CORRECT_RESTORE) {
sumAct += c;
}
assertEquals(sumExp, sumAct);
jobID = null;
} finally {
// clear any left overs from a possibly failed job
if (jobID != null && jobManager != null) {
Future<Object> jobRemovedFuture =
jobManager.ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), timeout);
try {
Await.ready(jobRemovedFuture, timeout);
} catch (TimeoutException | InterruptedException ie) {
fail("Failed while cleaning up the cluster.");
}
}
}
}
/**
* Tests that a job cannot be restarted from a savepoint with a different parallelism if the
* rescaled operator has non-partitioned state.
*
* @throws Exception
*/
@Test
public void testSavepointRescalingNonPartitionedStateCausesException() throws Exception {
final int parallelism = numSlots / 2;
final int parallelism2 = numSlots;
final int maxParallelism = 13;
FiniteDuration timeout = new FiniteDuration(3, TimeUnit.MINUTES);
Deadline deadline = timeout.fromNow();
JobID jobID = null;
ActorGateway jobManager = null;
try {
jobManager = cluster.getLeaderGateway(deadline.timeLeft());
JobGraph jobGraph = createJobGraphWithOperatorState(parallelism, maxParallelism, false);
jobID = jobGraph.getJobID();
cluster.submitJobDetached(jobGraph);
Object savepointResponse = null;
// wait until the operator is started
StateSourceBase.workStartedLatch.await();
while (deadline.hasTimeLeft()) {
Future<Object> savepointPathFuture =
jobManager.ask(new JobManagerMessages.TriggerSavepoint(jobID), deadline.timeLeft());
FiniteDuration waitingTime = new FiniteDuration(10, TimeUnit.SECONDS);
savepointResponse = Await.result(savepointPathFuture, waitingTime);
if (savepointResponse instanceof JobManagerMessages.TriggerSavepointSuccess) {
break;
}
}
assertTrue(savepointResponse instanceof JobManagerMessages.TriggerSavepointSuccess);
final String savepointPath =
((JobManagerMessages.TriggerSavepointSuccess) savepointResponse).savepointPath();
Future<Object> jobRemovedFuture =
jobManager.ask(
new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), deadline.timeLeft());
Future<Object> cancellationResponseFuture =
jobManager.ask(new JobManagerMessages.CancelJob(jobID), deadline.timeLeft());
Object cancellationResponse = Await.result(cancellationResponseFuture, deadline.timeLeft());
assertTrue(cancellationResponse instanceof JobManagerMessages.CancellationSuccess);
Await.ready(jobRemovedFuture, deadline.timeLeft());
// job successfully removed
jobID = null;
JobGraph scaledJobGraph =
createJobGraphWithOperatorState(parallelism2, maxParallelism, false);
scaledJobGraph.setSavepointPath(savepointPath);
jobID = scaledJobGraph.getJobID();
cluster.submitJobAndWait(scaledJobGraph, false);
jobID = null;
} catch (JobExecutionException exception) {
if (exception.getCause() instanceof SuppressRestartsException) {
SuppressRestartsException suppressRestartsException =
(SuppressRestartsException) exception.getCause();
if (suppressRestartsException.getCause() instanceof IllegalStateException) {
// we expect a IllegalStateException wrapped in a SuppressRestartsException wrapped
// in a JobExecutionException, because the job containing non-partitioned state
// is being rescaled
} else {
throw exception;
}
} else {
throw exception;
}
} finally {
// clear any left overs from a possibly failed job
if (jobID != null && jobManager != null) {
Future<Object> jobRemovedFuture =
jobManager.ask(new TestingJobManagerMessages.NotifyWhenJobRemoved(jobID), timeout);
try {
Await.ready(jobRemovedFuture, timeout);
} catch (TimeoutException | InterruptedException ie) {
fail("Failed while cleaning up the cluster.");
}
}
}
}