/**
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.aurora.scheduler.scheduling;
import java.util.EnumSet;
import java.util.List;
import java.util.Set;
import javax.inject.Inject;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Optional;
import com.google.common.base.Preconditions;
import com.google.common.base.Predicate;
import com.google.common.base.Predicates;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import org.apache.aurora.common.quantity.Amount;
import org.apache.aurora.common.quantity.Time;
import org.apache.aurora.common.util.BackoffStrategy;
import org.apache.aurora.common.util.Random;
import org.apache.aurora.gen.ScheduleStatus;
import org.apache.aurora.scheduler.base.Tasks;
import org.apache.aurora.scheduler.storage.Storage;
import org.apache.aurora.scheduler.storage.entities.IScheduledTask;
import org.apache.aurora.scheduler.storage.entities.ITaskEvent;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static java.util.Objects.requireNonNull;
import static org.apache.aurora.gen.ScheduleStatus.DRAINING;
import static org.apache.aurora.gen.ScheduleStatus.KILLING;
import static org.apache.aurora.gen.ScheduleStatus.RESTARTING;
/**
* Calculates scheduling delays for tasks.
*/
public interface RescheduleCalculator {
/**
* Calculates the delay, in milliseconds, before the task should be considered eligible for
* (re)scheduling at scheduler startup.
*
* @param task Task to calculate delay for.
* @return Delay in msec.
*/
long getStartupScheduleDelayMs(IScheduledTask task);
/**
* Calculates the penalty, in milliseconds, that a task should be penalized before being
* eligible for rescheduling.
*
* @param task Task to calculate delay for.
* @return Delay in msec.
*/
long getFlappingPenaltyMs(IScheduledTask task);
class RescheduleCalculatorImpl implements RescheduleCalculator {
private static final Logger LOG = LoggerFactory.getLogger(RescheduleCalculatorImpl.class);
private final Storage storage;
private final RescheduleCalculatorSettings settings;
// TODO(wfarner): Inject 'random' in the constructor for better test coverage.
private final Random random = Random.Util.newDefaultRandom();
private static final Predicate<ScheduleStatus> IS_ACTIVE_STATUS =
Predicates.in(Tasks.ACTIVE_STATES);
private static final Set<ScheduleStatus> INTERRUPTED_TASK_STATES =
EnumSet.of(RESTARTING, KILLING, DRAINING);
private final Predicate<IScheduledTask> flapped = new Predicate<IScheduledTask>() {
@Override
public boolean apply(IScheduledTask task) {
if (task.getTaskEvents().isEmpty()) {
return false;
}
List<ITaskEvent> events = Lists.reverse(task.getTaskEvents());
// Avoid penalizing tasks that were interrupted by outside action, such as a user
// restarting them.
if (Iterables.any(Iterables.transform(events, ITaskEvent::getStatus),
Predicates.in(INTERRUPTED_TASK_STATES))) {
return false;
}
ITaskEvent terminalEvent = Iterables.get(events, 0);
ScheduleStatus terminalState = terminalEvent.getStatus();
Preconditions.checkState(Tasks.isTerminated(terminalState));
ITaskEvent activeEvent = Iterables.find(
events,
Predicates.compose(IS_ACTIVE_STATUS, ITaskEvent::getStatus));
long thresholdMs = settings.flappingTaskThreashold.as(Time.MILLISECONDS);
return (terminalEvent.getTimestamp() - activeEvent.getTimestamp()) < thresholdMs;
}
};
@VisibleForTesting
public static class RescheduleCalculatorSettings {
private final BackoffStrategy flappingTaskBackoff;
private final Amount<Long, Time> flappingTaskThreashold;
private final Amount<Integer, Time> maxStartupRescheduleDelay;
public RescheduleCalculatorSettings(
BackoffStrategy flappingTaskBackoff,
Amount<Long, Time> flappingTaskThreashold,
Amount<Integer, Time> maxStartupRescheduleDelay) {
this.flappingTaskBackoff = requireNonNull(flappingTaskBackoff);
this.flappingTaskThreashold = requireNonNull(flappingTaskThreashold);
this.maxStartupRescheduleDelay = requireNonNull(maxStartupRescheduleDelay);
}
}
@Inject
RescheduleCalculatorImpl(Storage storage, RescheduleCalculatorSettings settings) {
this.storage = requireNonNull(storage);
this.settings = requireNonNull(settings);
}
@Override
public long getStartupScheduleDelayMs(IScheduledTask task) {
return random.nextInt(settings.maxStartupRescheduleDelay.as(Time.MILLISECONDS).intValue())
+ getFlappingPenaltyMs(task);
}
private Optional<IScheduledTask> getTaskAncestor(IScheduledTask task) {
if (!task.isSetAncestorId()) {
return Optional.absent();
}
return Storage.Util.fetchTask(storage, task.getAncestorId());
}
@Override
public long getFlappingPenaltyMs(IScheduledTask task) {
Optional<IScheduledTask> curTask = getTaskAncestor(task);
long penaltyMs = 0;
while (curTask.isPresent() && flapped.apply(curTask.get())) {
LOG.info(
String.format("Ancestor of %s flapped: %s", Tasks.id(task), Tasks.id(curTask.get())));
long newPenalty = settings.flappingTaskBackoff.calculateBackoffMs(penaltyMs);
// If the backoff strategy is truncated then there is no need for us to continue.
if (newPenalty == penaltyMs) {
break;
}
penaltyMs = newPenalty;
curTask = getTaskAncestor(curTask.get());
}
return penaltyMs;
}
}
}