use of org.apache.flink.api.common.ExecutionConfig in project flink by apache.
the class ExecutionGraphMetricsTest method testExecutionGraphRestartTimeMetric.
/**
* This test tests that the restarting time metric correctly displays restarting times.
*/
@Test
public void testExecutionGraphRestartTimeMetric() throws JobException, IOException, InterruptedException {
final ScheduledExecutorService executor = Executors.newSingleThreadScheduledExecutor();
try {
// setup execution graph with mocked scheduling logic
int parallelism = 1;
JobVertex jobVertex = new JobVertex("TestVertex");
jobVertex.setParallelism(parallelism);
jobVertex.setInvokableClass(NoOpInvokable.class);
JobGraph jobGraph = new JobGraph("Test Job", jobVertex);
Configuration config = new Configuration();
config.setString(ConfigConstants.METRICS_REPORTERS_LIST, "test");
config.setString(ConfigConstants.METRICS_REPORTER_PREFIX + "test." + ConfigConstants.METRICS_REPORTER_CLASS_SUFFIX, TestingReporter.class.getName());
Configuration jobConfig = new Configuration();
Time timeout = Time.seconds(10L);
MetricRegistry metricRegistry = new MetricRegistry(MetricRegistryConfiguration.fromConfiguration(config));
assertTrue(metricRegistry.getReporters().size() == 1);
MetricReporter reporter = metricRegistry.getReporters().get(0);
assertTrue(reporter instanceof TestingReporter);
TestingReporter testingReporter = (TestingReporter) reporter;
MetricGroup metricGroup = new JobManagerMetricGroup(metricRegistry, "localhost");
Scheduler scheduler = mock(Scheduler.class);
ResourceID taskManagerId = ResourceID.generate();
TaskManagerLocation taskManagerLocation = mock(TaskManagerLocation.class);
when(taskManagerLocation.getResourceID()).thenReturn(taskManagerId);
when(taskManagerLocation.getHostname()).thenReturn("localhost");
TaskManagerGateway taskManagerGateway = mock(TaskManagerGateway.class);
Instance instance = mock(Instance.class);
when(instance.getTaskManagerLocation()).thenReturn(taskManagerLocation);
when(instance.getTaskManagerID()).thenReturn(taskManagerId);
when(instance.getTaskManagerGateway()).thenReturn(taskManagerGateway);
Slot rootSlot = mock(Slot.class);
AllocatedSlot mockAllocatedSlot = mock(AllocatedSlot.class);
when(mockAllocatedSlot.getSlotAllocationId()).thenReturn(new AllocationID());
SimpleSlot simpleSlot = mock(SimpleSlot.class);
when(simpleSlot.isAlive()).thenReturn(true);
when(simpleSlot.getTaskManagerLocation()).thenReturn(taskManagerLocation);
when(simpleSlot.getTaskManagerID()).thenReturn(taskManagerId);
when(simpleSlot.getTaskManagerGateway()).thenReturn(taskManagerGateway);
when(simpleSlot.setExecutedVertex(Matchers.any(Execution.class))).thenReturn(true);
when(simpleSlot.getRoot()).thenReturn(rootSlot);
when(simpleSlot.getAllocatedSlot()).thenReturn(mockAllocatedSlot);
FlinkCompletableFuture<SimpleSlot> future = new FlinkCompletableFuture<>();
future.complete(simpleSlot);
when(scheduler.allocateSlot(any(ScheduledUnit.class), anyBoolean())).thenReturn(future);
when(rootSlot.getSlotNumber()).thenReturn(0);
when(taskManagerGateway.submitTask(any(TaskDeploymentDescriptor.class), any(Time.class))).thenReturn(FlinkCompletableFuture.completed(Acknowledge.get()));
TestingRestartStrategy testingRestartStrategy = new TestingRestartStrategy();
ExecutionGraph executionGraph = new ExecutionGraph(executor, executor, jobGraph.getJobID(), jobGraph.getName(), jobConfig, new SerializedValue<ExecutionConfig>(null), timeout, testingRestartStrategy, Collections.<BlobKey>emptyList(), Collections.<URL>emptyList(), scheduler, getClass().getClassLoader(), metricGroup);
// get restarting time metric
Metric metric = testingReporter.getMetric(ExecutionGraph.RESTARTING_TIME_METRIC_NAME);
assertNotNull(metric);
assertTrue(metric instanceof Gauge);
@SuppressWarnings("unchecked") Gauge<Long> restartingTime = (Gauge<Long>) metric;
// check that the restarting time is 0 since it's the initial start
assertTrue(0L == restartingTime.getValue());
executionGraph.attachJobGraph(jobGraph.getVerticesSortedTopologicallyFromSources());
// start execution
executionGraph.scheduleForExecution();
assertTrue(0L == restartingTime.getValue());
List<ExecutionAttemptID> executionIDs = new ArrayList<>();
for (ExecutionVertex executionVertex : executionGraph.getAllExecutionVertices()) {
executionIDs.add(executionVertex.getCurrentExecutionAttempt().getAttemptId());
}
// tell execution graph that the tasks are in state running --> job status switches to state running
for (ExecutionAttemptID executionID : executionIDs) {
executionGraph.updateState(new TaskExecutionState(jobGraph.getJobID(), executionID, ExecutionState.RUNNING));
}
assertEquals(JobStatus.RUNNING, executionGraph.getState());
assertTrue(0L == restartingTime.getValue());
// fail the job so that it goes into state restarting
for (ExecutionAttemptID executionID : executionIDs) {
executionGraph.updateState(new TaskExecutionState(jobGraph.getJobID(), executionID, ExecutionState.FAILED, new Exception()));
}
assertEquals(JobStatus.RESTARTING, executionGraph.getState());
long firstRestartingTimestamp = executionGraph.getStatusTimestamp(JobStatus.RESTARTING);
// wait some time so that the restarting time gauge shows a value different from 0
Thread.sleep(50);
long previousRestartingTime = restartingTime.getValue();
// check that the restarting time is monotonically increasing
for (int i = 0; i < 10; i++) {
long currentRestartingTime = restartingTime.getValue();
assertTrue(currentRestartingTime >= previousRestartingTime);
previousRestartingTime = currentRestartingTime;
}
// check that we have measured some restarting time
assertTrue(previousRestartingTime > 0);
// restart job
testingRestartStrategy.restartExecutionGraph();
executionIDs.clear();
for (ExecutionVertex executionVertex : executionGraph.getAllExecutionVertices()) {
executionIDs.add(executionVertex.getCurrentExecutionAttempt().getAttemptId());
}
for (ExecutionAttemptID executionID : executionIDs) {
executionGraph.updateState(new TaskExecutionState(jobGraph.getJobID(), executionID, ExecutionState.RUNNING));
}
assertEquals(JobStatus.RUNNING, executionGraph.getState());
assertTrue(firstRestartingTimestamp != 0);
previousRestartingTime = restartingTime.getValue();
// check that the restarting time does not increase after we've reached the running state
for (int i = 0; i < 10; i++) {
long currentRestartingTime = restartingTime.getValue();
assertTrue(currentRestartingTime == previousRestartingTime);
previousRestartingTime = currentRestartingTime;
}
// fail job again
for (ExecutionAttemptID executionID : executionIDs) {
executionGraph.updateState(new TaskExecutionState(jobGraph.getJobID(), executionID, ExecutionState.FAILED, new Exception()));
}
assertEquals(JobStatus.RESTARTING, executionGraph.getState());
long secondRestartingTimestamp = executionGraph.getStatusTimestamp(JobStatus.RESTARTING);
assertTrue(firstRestartingTimestamp != secondRestartingTimestamp);
Thread.sleep(50);
previousRestartingTime = restartingTime.getValue();
// check that the restarting time is increasing again
for (int i = 0; i < 10; i++) {
long currentRestartingTime = restartingTime.getValue();
assertTrue(currentRestartingTime >= previousRestartingTime);
previousRestartingTime = currentRestartingTime;
}
assertTrue(previousRestartingTime > 0);
// now lets fail the job while it is in restarting and see whether the restarting time then stops to increase
// for this to work, we have to use a SuppressRestartException
executionGraph.fail(new SuppressRestartsException(new Exception()));
assertEquals(JobStatus.FAILED, executionGraph.getState());
previousRestartingTime = restartingTime.getValue();
for (int i = 0; i < 10; i++) {
long currentRestartingTime = restartingTime.getValue();
assertTrue(currentRestartingTime == previousRestartingTime);
previousRestartingTime = currentRestartingTime;
}
} finally {
executor.shutdownNow();
}
}
use of org.apache.flink.api.common.ExecutionConfig in project flink by apache.
the class ExecutionGraphRestartTest method testFailExecutionGraphAfterCancel.
/**
* Tests that it is possible to fail a graph via a call to
* {@link ExecutionGraph#fail(Throwable)} after cancellation.
*/
@Test
public void testFailExecutionGraphAfterCancel() throws Exception {
Instance instance = ExecutionGraphTestUtils.getInstance(new ActorTaskManagerGateway(new SimpleActorGateway(TestingUtils.directExecutionContext())), 2);
Scheduler scheduler = new Scheduler(TestingUtils.defaultExecutionContext());
scheduler.newInstanceAvailable(instance);
JobVertex vertex = newJobVertex("Test Vertex", 1, NoOpInvokable.class);
ExecutionConfig executionConfig = new ExecutionConfig();
executionConfig.setRestartStrategy(RestartStrategies.fixedDelayRestart(Integer.MAX_VALUE, Integer.MAX_VALUE));
JobGraph jobGraph = new JobGraph("Test Job", vertex);
jobGraph.setExecutionConfig(executionConfig);
ExecutionGraph eg = newExecutionGraph(new InfiniteDelayRestartStrategy(), scheduler);
eg.attachJobGraph(jobGraph.getVerticesSortedTopologicallyFromSources());
assertEquals(JobStatus.CREATED, eg.getState());
eg.scheduleForExecution();
assertEquals(JobStatus.RUNNING, eg.getState());
// Fail right after cancel (for example with concurrent slot release)
eg.cancel();
assertEquals(JobStatus.CANCELLING, eg.getState());
eg.fail(new Exception("Test Exception"));
assertEquals(JobStatus.FAILING, eg.getState());
Execution execution = eg.getAllExecutionVertices().iterator().next().getCurrentExecutionAttempt();
execution.cancelingComplete();
assertEquals(JobStatus.RESTARTING, eg.getState());
}
use of org.apache.flink.api.common.ExecutionConfig in project flink by apache.
the class PointwisePatternTest method testLowToHigh.
private void testLowToHigh(int lowDop, int highDop) throws Exception {
if (highDop < lowDop) {
throw new IllegalArgumentException();
}
final int factor = highDop / lowDop;
final int delta = highDop % lowDop == 0 ? 0 : 1;
JobVertex v1 = new JobVertex("vertex1");
JobVertex v2 = new JobVertex("vertex2");
v1.setParallelism(lowDop);
v2.setParallelism(highDop);
v1.setInvokableClass(AbstractInvokable.class);
v2.setInvokableClass(AbstractInvokable.class);
v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
List<JobVertex> ordered = new ArrayList<JobVertex>(Arrays.asList(v1, v2));
ExecutionGraph eg = new ExecutionGraph(TestingUtils.defaultExecutor(), TestingUtils.defaultExecutor(), jobId, jobName, cfg, new SerializedValue<>(new ExecutionConfig()), AkkaUtils.getDefaultTimeout(), new NoRestartStrategy(), new Scheduler(TestingUtils.defaultExecutionContext()));
try {
eg.attachJobGraph(ordered);
} catch (JobException e) {
e.printStackTrace();
fail("Job failed with exception: " + e.getMessage());
}
ExecutionJobVertex target = eg.getAllVertices().get(v2.getID());
int[] timesUsed = new int[lowDop];
for (ExecutionVertex ev : target.getTaskVertices()) {
assertEquals(1, ev.getNumberOfInputs());
ExecutionEdge[] inEdges = ev.getInputEdges(0);
assertEquals(1, inEdges.length);
timesUsed[inEdges[0].getSource().getPartitionNumber()]++;
}
for (int used : timesUsed) {
assertTrue(used >= factor && used <= factor + delta);
}
}
use of org.apache.flink.api.common.ExecutionConfig in project flink by apache.
the class PointwisePatternTest method testNTo7N.
@Test
public void testNTo7N() throws Exception {
final int N = 11;
JobVertex v1 = new JobVertex("vertex1");
JobVertex v2 = new JobVertex("vertex2");
v1.setParallelism(N);
v2.setParallelism(7 * N);
v1.setInvokableClass(AbstractInvokable.class);
v2.setInvokableClass(AbstractInvokable.class);
v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
List<JobVertex> ordered = new ArrayList<JobVertex>(Arrays.asList(v1, v2));
ExecutionGraph eg = new ExecutionGraph(TestingUtils.defaultExecutor(), TestingUtils.defaultExecutor(), jobId, jobName, cfg, new SerializedValue<>(new ExecutionConfig()), AkkaUtils.getDefaultTimeout(), new NoRestartStrategy(), new Scheduler(TestingUtils.defaultExecutionContext()));
try {
eg.attachJobGraph(ordered);
} catch (JobException e) {
e.printStackTrace();
fail("Job failed with exception: " + e.getMessage());
}
ExecutionJobVertex target = eg.getAllVertices().get(v2.getID());
for (ExecutionVertex ev : target.getTaskVertices()) {
assertEquals(1, ev.getNumberOfInputs());
ExecutionEdge[] inEdges = ev.getInputEdges(0);
assertEquals(1, inEdges.length);
assertEquals(ev.getParallelSubtaskIndex() / 7, inEdges[0].getSource().getPartitionNumber());
}
}
use of org.apache.flink.api.common.ExecutionConfig in project flink by apache.
the class PointwisePatternTest method test2NToN.
@Test
public void test2NToN() throws Exception {
final int N = 17;
JobVertex v1 = new JobVertex("vertex1");
JobVertex v2 = new JobVertex("vertex2");
v1.setParallelism(2 * N);
v2.setParallelism(N);
v1.setInvokableClass(AbstractInvokable.class);
v2.setInvokableClass(AbstractInvokable.class);
v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
List<JobVertex> ordered = new ArrayList<JobVertex>(Arrays.asList(v1, v2));
ExecutionGraph eg = new ExecutionGraph(TestingUtils.defaultExecutor(), TestingUtils.defaultExecutor(), jobId, jobName, cfg, new SerializedValue<>(new ExecutionConfig()), AkkaUtils.getDefaultTimeout(), new NoRestartStrategy(), new Scheduler(TestingUtils.defaultExecutionContext()));
try {
eg.attachJobGraph(ordered);
} catch (JobException e) {
e.printStackTrace();
fail("Job failed with exception: " + e.getMessage());
}
ExecutionJobVertex target = eg.getAllVertices().get(v2.getID());
for (ExecutionVertex ev : target.getTaskVertices()) {
assertEquals(1, ev.getNumberOfInputs());
ExecutionEdge[] inEdges = ev.getInputEdges(0);
assertEquals(2, inEdges.length);
assertEquals(ev.getParallelSubtaskIndex() * 2, inEdges[0].getSource().getPartitionNumber());
assertEquals(ev.getParallelSubtaskIndex() * 2 + 1, inEdges[1].getSource().getPartitionNumber());
}
}
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