Examples with StageState io.prestosql.execution.StageState used on opensource projects

Example 1 with StageState

use of io.prestosql.execution.StageState in project hetu-core by openlookeng.

the class SqlQueryScheduler method schedule.

private void schedule() {
    try (SetThreadName ignored = new SetThreadName("Query-%s", queryStateMachine.getQueryId())) {
        Set<StageId> completedStages = new HashSet<>();
        ExecutionSchedule executionSchedule = executionPolicy.createExecutionSchedule(stages.values());
        while (!executionSchedule.isFinished()) {
            List<ListenableFuture<?>> blockedStages = new ArrayList<>();
            for (SqlStageExecution stage : executionSchedule.getStagesToSchedule()) {
                if (isReuseTableScanEnabled(session) && !SqlStageExecution.getReuseTableScanMappingIdStatus(stage.getStateMachine())) {
                    continue;
                }
                stage.beginScheduling();
                // and then let it schedule 10% of splits.
                if (queryStateMachine.isThrottlingEnabled() && !canScheduleMoreSplits()) {
                    try {
                        SECONDS.sleep(THROTTLE_SLEEP_TIMER[currentTimerLevel]);
                    } catch (InterruptedException e) {
                        throw new PrestoException(GENERIC_INTERNAL_ERROR, "interrupted while sleeping");
                    }
                    currentTimerLevel = Math.min(currentTimerLevel + 1, THROTTLE_SLEEP_TIMER.length - 1);
                    stage.setThrottledSchedule(true);
                } else {
                    stage.setThrottledSchedule(false);
                    currentTimerLevel = 0;
                }
                // perform some scheduling work
                /* Get groupSize specification from the ResourceGroupManager */
                int maxSplitGroupSize = getOptimalSmallSplitGroupSize();
                ScheduleResult result = stageSchedulers.get(stage.getStageId()).schedule(maxSplitGroupSize);
                // modify parent and children based on the results of the scheduling
                if (result.isFinished()) {
                    stage.schedulingComplete();
                } else if (!result.getBlocked().isDone()) {
                    blockedStages.add(result.getBlocked());
                }
                stageLinkages.get(stage.getStageId()).processScheduleResults(stage.getState(), result.getNewTasks());
                schedulerStats.getSplitsScheduledPerIteration().add(result.getSplitsScheduled());
                if (result.getBlockedReason().isPresent()) {
                    switch(result.getBlockedReason().get()) {
                        case WRITER_SCALING:
                            // no-op
                            break;
                        case WAITING_FOR_SOURCE:
                            schedulerStats.getWaitingForSource().update(1);
                            break;
                        case SPLIT_QUEUES_FULL:
                            schedulerStats.getSplitQueuesFull().update(1);
                            break;
                        case MIXED_SPLIT_QUEUES_FULL_AND_WAITING_FOR_SOURCE:
                        case NO_ACTIVE_DRIVER_GROUP:
                            break;
                        default:
                            throw new UnsupportedOperationException("Unknown blocked reason: " + result.getBlockedReason().get());
                    }
                }
            }
            // make sure to update stage linkage at least once per loop to catch async state changes (e.g., partial cancel)
            for (SqlStageExecution stage : stages.values()) {
                if (!completedStages.contains(stage.getStageId()) && stage.getState().isDone()) {
                    stageLinkages.get(stage.getStageId()).processScheduleResults(stage.getState(), ImmutableSet.of());
                    completedStages.add(stage.getStageId());
                }
            }
            // wait for a state change and then schedule again
            if (!blockedStages.isEmpty()) {
                try (TimeStat.BlockTimer timer = schedulerStats.getSleepTime().time()) {
                    tryGetFutureValue(whenAnyComplete(blockedStages), 1, SECONDS);
                }
                for (ListenableFuture<?> blockedStage : blockedStages) {
                    blockedStage.cancel(true);
                }
            }
        }
        for (SqlStageExecution stage : stages.values()) {
            StageState state = stage.getState();
            // Snapshot: if state is resumable_failure, then state of stage and query will change soon again. Don't treat as an error.
            if (state != SCHEDULED && state != RUNNING && !state.isDone() && state != RESUMABLE_FAILURE) {
                throw new PrestoException(GENERIC_INTERNAL_ERROR, format("Scheduling is complete, but stage %s is in state %s", stage.getStageId(), state));
            }
        }
    } catch (Throwable t) {
        queryStateMachine.transitionToFailed(t);
        throw t;
    } finally {
        RuntimeException closeError = new RuntimeException();
        for (StageScheduler scheduler : stageSchedulers.values()) {
            try {
                // Snapshot: when trying to reschedule, then don't close the scheduler (and more importantly, split sources in it)
                QueryState state = queryStateMachine.getQueryState();
                if (state != QueryState.RESCHEDULING && state != QueryState.RESUMING) {
                    scheduler.close();
                }
            } catch (Throwable t) {
                queryStateMachine.transitionToFailed(t);
                // Self-suppression not permitted
                if (closeError != t) {
                    closeError.addSuppressed(t);
                }
            }
        }
        // Snpashot: if resuming, notify the new scheduler so it can start scheduling new stages
        schedulingFuture.set(null);
        if (closeError.getSuppressed().length > 0) {
            throw closeError;
        }
    }
}

Example 2 with StageState

use of io.prestosql.execution.StageState in project hetu-core by openlookeng.

the class SqlQueryScheduler method createStages.

private List<SqlStageExecution> createStages(ExchangeLocationsConsumer parent, AtomicInteger nextStageId, LocationFactory locationFactory, StageExecutionPlan plan, NodeScheduler nodeScheduler, RemoteTaskFactory remoteTaskFactory, Session session, int splitBatchSize, BiFunction<PartitioningHandle, Integer, NodePartitionMap> partitioningCache, NodePartitioningManager nodePartitioningManager, ExecutorService queryExecutor, ScheduledExecutorService schedulerExecutor, FailureDetector failureDetector, NodeTaskMap nodeTaskMap, ImmutableMap.Builder<StageId, StageScheduler> stageSchedulers, ImmutableMap.Builder<StageId, StageLinkage> stageLinkages, boolean isSnapshotEnabled, QuerySnapshotManager snapshotManager, Map<StageId, Integer> stageTaskCounts) {
    ImmutableList.Builder<SqlStageExecution> localStages = ImmutableList.builder();
    StageId stageId = new StageId(queryStateMachine.getQueryId(), nextStageId.getAndIncrement());
    SqlStageExecution stageExecution = createSqlStageExecution(stageId, locationFactory.createStageLocation(stageId), plan.getFragment(), plan.getTables(), remoteTaskFactory, session, summarizeTaskInfo, nodeTaskMap, queryExecutor, failureDetector, schedulerStats, dynamicFilterService, snapshotManager);
    localStages.add(stageExecution);
    Optional<int[]> bucketToPartition;
    PartitioningHandle partitioningHandle = plan.getFragment().getPartitioning();
    boolean keepConsumerOnFeederNodes = !plan.getFragment().getFeederCTEId().isPresent() && plan.getFragment().getFeederCTEParentId().isPresent();
    if (partitioningHandle.equals(SOURCE_DISTRIBUTION)) {
        // nodes are selected dynamically based on the constraints of the splits and the system load
        Entry<PlanNodeId, SplitSource> entry = Iterables.getOnlyElement(plan.getSplitSources().entrySet());
        PlanNodeId planNodeId = entry.getKey();
        SplitSource splitSource = entry.getValue();
        CatalogName catalogName = splitSource.getCatalogName();
        if (isInternalSystemConnector(catalogName)) {
            catalogName = null;
        }
        NodeSelector nodeSelector = nodeScheduler.createNodeSelector(catalogName, keepConsumerOnFeederNodes, feederScheduledNodes);
        if (isSnapshotEnabled) {
            // When snapshot is enabled, then no task can be added after the query started running,
            // otherwise assumptions about how many "input channels" may be broken.
            nodeSelector.lockDownNodes();
        }
        SplitPlacementPolicy placementPolicy = new DynamicSplitPlacementPolicy(nodeSelector, stageExecution::getAllTasks);
        checkArgument(!plan.getFragment().getStageExecutionDescriptor().isStageGroupedExecution());
        stageSchedulers.put(stageId, newSourcePartitionedSchedulerAsStageScheduler(stageExecution, planNodeId, splitSource, placementPolicy, splitBatchSize, session, heuristicIndexerManager));
        bucketToPartition = Optional.of(new int[1]);
    } else if (partitioningHandle.equals(SCALED_WRITER_DISTRIBUTION)) {
        bucketToPartition = Optional.of(new int[1]);
    } else {
        Map<PlanNodeId, SplitSource> splitSources = plan.getSplitSources();
        if (!splitSources.isEmpty()) {
            // contains local source
            List<PlanNodeId> schedulingOrder = plan.getFragment().getPartitionedSources();
            CatalogName catalogName = partitioningHandle.getConnectorId().orElseThrow(IllegalStateException::new);
            List<ConnectorPartitionHandle> connectorPartitionHandles;
            boolean groupedExecutionForStage = plan.getFragment().getStageExecutionDescriptor().isStageGroupedExecution();
            if (groupedExecutionForStage) {
                connectorPartitionHandles = nodePartitioningManager.listPartitionHandles(session, partitioningHandle);
                checkState(!ImmutableList.of(NOT_PARTITIONED).equals(connectorPartitionHandles));
            } else {
                connectorPartitionHandles = ImmutableList.of(NOT_PARTITIONED);
            }
            BucketNodeMap bucketNodeMap;
            List<InternalNode> stageNodeList;
            if (plan.getFragment().getRemoteSourceNodes().stream().allMatch(node -> node.getExchangeType() == REPLICATE)) {
                // no remote source
                boolean dynamicLifespanSchedule = plan.getFragment().getStageExecutionDescriptor().isDynamicLifespanSchedule();
                if (isSnapshotEnabled) {
                    NodeSelector nodeSelector = nodeScheduler.createNodeSelector(catalogName, keepConsumerOnFeederNodes, feederScheduledNodes);
                    int nodeCount;
                    if (stageTaskCounts != null) {
                        // Resuming: need to create same number of tasks as old stage.
                        nodeCount = stageTaskCounts.get(stageId);
                    } else {
                        // Scheduling: reserve some nodes for resuming
                        nodeCount = calculateTaskCount(nodeSelector.selectableNodeCount());
                    }
                    stageNodeList = new ArrayList<>(nodeSelector.selectRandomNodes(nodeCount));
                    checkCondition(stageNodeList.size() == nodeCount, NO_NODES_AVAILABLE, "Snapshot: not enough worker nodes to resume expected number of tasks: " + nodeCount);
                    // Make sure bucketNodeMap uses the same node list
                    bucketNodeMap = nodePartitioningManager.getBucketNodeMap(session, partitioningHandle, dynamicLifespanSchedule, stageNodeList);
                } else {
                    bucketNodeMap = nodePartitioningManager.getBucketNodeMap(session, partitioningHandle, dynamicLifespanSchedule);
                    stageNodeList = new ArrayList<>(nodeScheduler.createNodeSelector(catalogName, keepConsumerOnFeederNodes, feederScheduledNodes).allNodes());
                }
                // verify execution is consistent with planner's decision on dynamic lifespan schedule
                verify(bucketNodeMap.isDynamic() == dynamicLifespanSchedule);
                Collections.shuffle(stageNodeList);
                bucketToPartition = Optional.empty();
            } else {
                // cannot use dynamic lifespan schedule
                verify(!plan.getFragment().getStageExecutionDescriptor().isDynamicLifespanSchedule());
                // remote source requires nodePartitionMap
                NodePartitionMap nodePartitionMap = partitioningCache.apply(plan.getFragment().getPartitioning(), stageTaskCounts == null ? null : stageTaskCounts.get(stageId));
                if (groupedExecutionForStage) {
                    checkState(connectorPartitionHandles.size() == nodePartitionMap.getBucketToPartition().length);
                }
                stageNodeList = nodePartitionMap.getPartitionToNode();
                bucketNodeMap = nodePartitionMap.asBucketNodeMap();
                bucketToPartition = Optional.of(nodePartitionMap.getBucketToPartition());
            }
            stageSchedulers.put(stageId, new FixedSourcePartitionedScheduler(stageExecution, splitSources, plan.getFragment().getStageExecutionDescriptor(), schedulingOrder, stageNodeList, bucketNodeMap, splitBatchSize, getConcurrentLifespansPerNode(session), nodeScheduler.createNodeSelector(catalogName, keepConsumerOnFeederNodes, feederScheduledNodes), connectorPartitionHandles, session, heuristicIndexerManager));
        } else {
            // all sources are remote
            NodePartitionMap nodePartitionMap = partitioningCache.apply(plan.getFragment().getPartitioning(), stageTaskCounts == null ? null : stageTaskCounts.get(stageId));
            List<InternalNode> partitionToNode = nodePartitionMap.getPartitionToNode();
            // todo this should asynchronously wait a standard timeout period before failing
            checkCondition(!partitionToNode.isEmpty(), NO_NODES_AVAILABLE, "No worker nodes available");
            stageSchedulers.put(stageId, new FixedCountScheduler(stageExecution, partitionToNode));
            bucketToPartition = Optional.of(nodePartitionMap.getBucketToPartition());
        }
    }
    ImmutableSet.Builder<SqlStageExecution> childStagesBuilder = ImmutableSet.builder();
    for (StageExecutionPlan subStagePlan : plan.getSubStages()) {
        if (visitedPlanFrags.contains(subStagePlan.getFragment().getId())) {
            continue;
        }
        visitedPlanFrags.add(subStagePlan.getFragment().getId());
        List<SqlStageExecution> subTree = createStages(stageExecution::addExchangeLocations, nextStageId, locationFactory, subStagePlan.withBucketToPartition(bucketToPartition), nodeScheduler, remoteTaskFactory, session, splitBatchSize, partitioningCache, nodePartitioningManager, queryExecutor, schedulerExecutor, failureDetector, nodeTaskMap, stageSchedulers, stageLinkages, isSnapshotEnabled, snapshotManager, stageTaskCounts);
        localStages.addAll(subTree);
        SqlStageExecution childStage = subTree.get(0);
        childStagesBuilder.add(childStage);
        Optional<RemoteSourceNode> parentNode = plan.getFragment().getRemoteSourceNodes().stream().filter(x -> x.getSourceFragmentIds().contains(childStage.getFragment().getId())).findAny();
        checkArgument(parentNode.isPresent(), "Couldn't find parent of a CTE node");
        childStage.setParentId(parentNode.get().getId());
    }
    Set<SqlStageExecution> childStages = childStagesBuilder.build();
    stageExecution.addStateChangeListener(newState -> {
        if (newState.isDone() && newState != StageState.RESCHEDULING) {
            // Snapshot: For "rescheduling", tasks are already cancelled (for resume)
            childStages.forEach(SqlStageExecution::cancel);
        }
    });
    stageLinkages.put(stageId, new StageLinkage(plan.getFragment().getId(), parent, childStages));
    if (partitioningHandle.equals(SCALED_WRITER_DISTRIBUTION)) {
        Supplier<Collection<TaskStatus>> sourceTasksProvider = () -> childStages.stream().map(SqlStageExecution::getAllTasks).flatMap(Collection::stream).map(RemoteTask::getTaskStatus).collect(toList());
        Supplier<Collection<TaskStatus>> writerTasksProvider = () -> stageExecution.getAllTasks().stream().map(RemoteTask::getTaskStatus).collect(toList());
        ScaledWriterScheduler scheduler = new ScaledWriterScheduler(stageExecution, sourceTasksProvider, writerTasksProvider, nodeScheduler.createNodeSelector(null, keepConsumerOnFeederNodes, feederScheduledNodes), schedulerExecutor, getWriterMinSize(session), isSnapshotEnabled, stageTaskCounts != null ? stageTaskCounts.get(stageId) : null);
        whenAllStages(childStages, StageState::isDone).addListener(scheduler::finish, directExecutor());
        stageSchedulers.put(stageId, scheduler);
    }
    return localStages.build();
}