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

Example 1 with TaskStatus

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

the class TaskSystemTable method cursor.

@Override
public RecordCursor cursor(ConnectorTransactionHandle transactionHandle, ConnectorSession session, TupleDomain<Integer> constraint) {
    Builder table = InMemoryRecordSet.builder(TASK_TABLE);
    for (TaskInfo taskInfo : taskManager.getAllTaskInfo()) {
        TaskStats stats = taskInfo.getStats();
        TaskStatus taskStatus = taskInfo.getTaskStatus();
        table.addRow(nodeId, taskStatus.getTaskId().toString(), taskStatus.getTaskId().getStageId().toString(), taskStatus.getTaskId().getQueryId().toString(), taskStatus.getState().toString(), (long) stats.getTotalDrivers(), (long) stats.getQueuedDrivers(), (long) stats.getRunningDrivers(), (long) stats.getCompletedDrivers(), toMillis(stats.getTotalScheduledTime()), toMillis(stats.getTotalCpuTime()), toMillis(stats.getTotalBlockedTime()), toBytes(stats.getRawInputDataSize()), stats.getRawInputPositions(), toBytes(stats.getProcessedInputDataSize()), stats.getProcessedInputPositions(), toBytes(stats.getOutputDataSize()), stats.getOutputPositions(), toBytes(stats.getPhysicalWrittenDataSize()), toTimeStamp(stats.getCreateTime()), toTimeStamp(stats.getFirstStartTime()), toTimeStamp(taskInfo.getLastHeartbeat()), toTimeStamp(stats.getEndTime()));
    }
    return table.build().cursor();
}

Example 2 with TaskStatus

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

the class HttpRemoteTask method sendUpdate.

private synchronized void sendUpdate() {
    if (abandoned.get()) {
        // Snapshot: Corresponding task has been canceled to resume. Stop any communication with it.
        return;
    }
    TaskStatus taskStatus = getTaskStatus();
    // don't update if the task hasn't been started yet or if it is already finished
    if (!needsUpdate.get() || taskStatus.getState().isDone()) {
        return;
    }
    // if there is a request already running, wait for it to complete
    if (this.currentRequest != null && !this.currentRequest.isDone()) {
        return;
    }
    // if throttled due to error, asynchronously wait for timeout and try again
    ListenableFuture<?> errorRateLimit = updateErrorTracker.acquireRequestPermit();
    if (!errorRateLimit.isDone()) {
        errorRateLimit.addListener(this::sendUpdate, executor);
        return;
    }
    List<TaskSource> sources = getSources();
    Optional<PlanFragment> fragment = sendPlan.get() ? Optional.of(planFragment) : Optional.empty();
    TaskUpdateRequest updateRequest = new TaskUpdateRequest(// so receiver can verify if the instance id matches
    instanceId, session.toSessionRepresentation(), session.getIdentity().getExtraCredentials(), fragment, sources, outputBuffers.get(), totalPartitions, parent);
    byte[] taskUpdateRequestJson = taskUpdateRequestCodec.toBytes(updateRequest);
    if (fragment.isPresent()) {
        stats.updateWithPlanBytes(taskUpdateRequestJson.length);
    }
    HttpUriBuilder uriBuilder = getHttpUriBuilder(taskStatus);
    Request request = setContentTypeHeaders(isBinaryEncoding, preparePost()).setUri(uriBuilder.build()).setBodyGenerator(StaticBodyGenerator.createStaticBodyGenerator(taskUpdateRequestJson)).build();
    ResponseHandler responseHandler;
    if (isBinaryEncoding) {
        responseHandler = createFullSmileResponseHandler((SmileCodec<TaskInfo>) taskInfoCodec);
    } else {
        responseHandler = createAdaptingJsonResponseHandler(unwrapJsonCodec(taskInfoCodec));
    }
    updateErrorTracker.startRequest();
    ListenableFuture<BaseResponse<TaskInfo>> future = httpClient.executeAsync(request, responseHandler);
    currentRequest = future;
    currentRequestStartNanos = System.nanoTime();
    // The needsUpdate flag needs to be set to false BEFORE adding the Future callback since callback might change the flag value
    // and does so without grabbing the instance lock.
    needsUpdate.set(false);
    Futures.addCallback(future, new SimpleHttpResponseHandler<>(new UpdateResponseHandler(sources), request.getUri(), stats), executor);
}

Example 3 with TaskStatus

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

the class HttpRemoteTask method cancel.

@Override
public synchronized void cancel() {
    try (SetThreadName ignored = new SetThreadName("HttpRemoteTask-%s", taskId)) {
        TaskStatus taskStatus = getTaskStatus();
        if (taskStatus.getState().isDone()) {
            return;
        }
        sendCancelRequest(taskStatus, TaskState.CANCELED, "cancel");
    }
}

Example 4 with TaskStatus

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

the class HttpRemoteTask method doScheduleAsyncCleanupRequest.

private void doScheduleAsyncCleanupRequest(Backoff cleanupBackoff, Request request, String action) {
    ResponseHandler responseHandler;
    if (isBinaryEncoding) {
        responseHandler = createFullSmileResponseHandler((SmileCodec<TaskInfo>) taskInfoCodec);
    } else {
        responseHandler = createAdaptingJsonResponseHandler(unwrapJsonCodec(taskInfoCodec));
    }
    Futures.addCallback(httpClient.executeAsync(request, responseHandler), new FutureCallback<BaseResponse<TaskInfo>>() {

        @Override
        public void onSuccess(BaseResponse<TaskInfo> result) {
            try {
                updateTaskInfo(result.getValue());
            } finally {
                if (!getTaskInfo().getTaskStatus().getState().isDone()) {
                    cleanUpLocally();
                }
            }
        }

        @Override
        public void onFailure(Throwable t) {
            if (cancelledToResume.get()) {
                // Remote worker is probably unreachable. Don't make additional attempts.
                cleanUpLocally();
                return;
            }
            if (t instanceof RejectedExecutionException && httpClient.isClosed()) {
                logError(t, "Unable to %s task at %s. HTTP client is closed.", action, request.getUri());
                cleanUpLocally();
                return;
            }
            // record failure
            if (cleanupBackoff.failure()) {
                logError(t, "Unable to %s task at %s. Back off depleted.", action, request.getUri());
                cleanUpLocally();
                return;
            }
            // reschedule
            long delayNanos = cleanupBackoff.getBackoffDelayNanos();
            if (delayNanos == 0) {
                doScheduleAsyncCleanupRequest(cleanupBackoff, request, action);
            } else {
                errorScheduledExecutor.schedule(() -> doScheduleAsyncCleanupRequest(cleanupBackoff, request, action), delayNanos, NANOSECONDS);
            }
        }

        private void cleanUpLocally() {
            // Update the taskInfo with the new taskStatus.
            // Generally, we send a cleanup request to the worker, and update the TaskInfo on
            // the coordinator based on what we fetched from the worker. If we somehow cannot
            // get the cleanup request to the worker, the TaskInfo that we fetch for the worker
            // likely will not say the task is done however many times we try. In this case,
            // we have to set the local query info directly so that we stop trying to fetch
            // updated TaskInfo from the worker. This way, the task on the worker eventually
            // expires due to lack of activity.
            // This is required because the query state machine depends on TaskInfo (instead of task status)
            // to transition its own state.
            // TODO: Update the query state machine and stage state machine to depend on TaskStatus instead
            // Since this TaskInfo is updated in the client the "complete" flag will not be set,
            // indicating that the stats may not reflect the final stats on the worker.
            TaskStatus taskStatus = getTaskStatus();
            if (cancelledToResume.get()) {
                // When the task is cancelled to resume, then make sure it gets the new state, so query can start resuming.
                // Check for task state is in QueryInfo#areAllStagesDone.
                taskStatus = TaskStatus.failWith(taskStatus, CANCELED_TO_RESUME, ImmutableList.of());
            }
            updateTaskInfo(getTaskInfo().withTaskStatus(taskStatus));
        }
    }, executor);
}

Example 5 with TaskStatus

use of io.prestosql.execution.TaskStatus 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();
}