Examples with TaskContext com.facebook.presto.operator.TaskContext used on opensource projects

Example 1 with TaskContext

use of com.facebook.presto.operator.TaskContext in project presto by prestodb.

the class LocalQueryRunner method executeInternal.

private MaterializedResult executeInternal(Session session, @Language("SQL") String sql) {
    lock.readLock().lock();
    try (Closer closer = Closer.create()) {
        AtomicReference<MaterializedResult.Builder> builder = new AtomicReference<>();
        PageConsumerOutputFactory outputFactory = new PageConsumerOutputFactory(types -> {
            builder.compareAndSet(null, MaterializedResult.resultBuilder(session, types));
            return builder.get()::page;
        });
        TaskContext taskContext = createTaskContext(executor, session);
        List<Driver> drivers = createDrivers(session, sql, outputFactory, taskContext);
        drivers.forEach(closer::register);
        boolean done = false;
        while (!done) {
            boolean processed = false;
            for (Driver driver : drivers) {
                if (!driver.isFinished()) {
                    driver.process();
                    processed = true;
                }
            }
            done = !processed;
        }
        verify(builder.get() != null, "Output operator was not created");
        return builder.get().build();
    } catch (IOException e) {
        throw Throwables.propagate(e);
    } finally {
        lock.readLock().unlock();
    }
}

Example 2 with TaskContext

use of com.facebook.presto.operator.TaskContext in project presto by prestodb.

the class TestMemoryPools method testBlocking.

@Test
public void testBlocking() throws Exception {
    Session session = testSessionBuilder().setCatalog("tpch").setSchema("tiny").setSystemProperty("task_default_concurrency", "1").build();
    LocalQueryRunner localQueryRunner = queryRunnerWithInitialTransaction(session);
    // add tpch
    localQueryRunner.createCatalog("tpch", new TpchConnectorFactory(1), ImmutableMap.of());
    // reserve all the memory in the pool
    MemoryPool pool = new MemoryPool(new MemoryPoolId("test"), new DataSize(10, MEGABYTE));
    QueryId fakeQueryId = new QueryId("fake");
    assertTrue(pool.tryReserve(fakeQueryId, TEN_MEGABYTES));
    MemoryPool systemPool = new MemoryPool(new MemoryPoolId("testSystem"), new DataSize(10, MEGABYTE));
    QueryContext queryContext = new QueryContext(new QueryId("query"), new DataSize(10, MEGABYTE), pool, systemPool, localQueryRunner.getExecutor());
    // discard all output
    OutputFactory outputFactory = new PageConsumerOutputFactory(types -> (page -> {
    }));
    TaskContext taskContext = createTaskContext(queryContext, localQueryRunner.getExecutor(), session);
    List<Driver> drivers = localQueryRunner.createDrivers("SELECT COUNT(*) FROM orders JOIN lineitem USING (orderkey)", outputFactory, taskContext);
    // run driver, until it blocks
    while (!isWaitingForMemory(drivers)) {
        for (Driver driver : drivers) {
            driver.process();
        }
    }
    // driver should be blocked waiting for memory
    for (Driver driver : drivers) {
        assertFalse(driver.isFinished());
    }
    assertTrue(pool.getFreeBytes() <= 0);
    pool.free(fakeQueryId, TEN_MEGABYTES);
    do {
        assertFalse(isWaitingForMemory(drivers));
        boolean progress = false;
        for (Driver driver : drivers) {
            ListenableFuture<?> blocked = driver.process();
            progress = progress | blocked.isDone();
        }
        // query should not block
        assertTrue(progress);
    } while (!drivers.stream().allMatch(Driver::isFinished));
}

Example 3 with TaskContext

use of com.facebook.presto.operator.TaskContext in project presto by prestodb.

the class QueryContext method addTaskContext.

public TaskContext addTaskContext(TaskStateMachine taskStateMachine, Session session, boolean verboseStats, boolean cpuTimerEnabled) {
    TaskContext taskContext = new TaskContext(this, taskStateMachine, executor, session, verboseStats, cpuTimerEnabled);
    taskContexts.add(taskContext);
    return taskContext;
}

Example 4 with TaskContext

use of com.facebook.presto.operator.TaskContext in project presto by prestodb.

the class SqlTaskExecutionFactory method create.

public SqlTaskExecution create(Session session, QueryContext queryContext, TaskStateMachine taskStateMachine, OutputBuffer outputBuffer, PlanFragment fragment, List<TaskSource> sources) {
    boolean verboseStats = getVerboseStats(session);
    TaskContext taskContext = queryContext.addTaskContext(taskStateMachine, session, verboseStats, cpuTimerEnabled);
    return createSqlTaskExecution(taskStateMachine, taskContext, outputBuffer, fragment, sources, planner, taskExecutor, taskNotificationExecutor, queryMonitor);
}

Example 5 with TaskContext

use of com.facebook.presto.operator.TaskContext in project presto by prestodb.

the class PrestoSparkTaskExecutorFactory method doCreate.

public <T extends PrestoSparkTaskOutput> IPrestoSparkTaskExecutor<T> doCreate(int partitionId, int attemptNumber, SerializedPrestoSparkTaskDescriptor serializedTaskDescriptor, Iterator<SerializedPrestoSparkTaskSource> serializedTaskSources, PrestoSparkTaskInputs inputs, CollectionAccumulator<SerializedTaskInfo> taskInfoCollector, CollectionAccumulator<PrestoSparkShuffleStats> shuffleStatsCollector, Class<T> outputType) {
    PrestoSparkTaskDescriptor taskDescriptor = taskDescriptorJsonCodec.fromJson(serializedTaskDescriptor.getBytes());
    ImmutableMap.Builder<String, TokenAuthenticator> extraAuthenticators = ImmutableMap.builder();
    authenticatorProviders.forEach(provider -> extraAuthenticators.putAll(provider.getTokenAuthenticators()));
    Session session = taskDescriptor.getSession().toSession(sessionPropertyManager, taskDescriptor.getExtraCredentials(), extraAuthenticators.build());
    PlanFragment fragment = taskDescriptor.getFragment();
    StageId stageId = new StageId(session.getQueryId(), fragment.getId().getId());
    // Clear the cache if the cache does not have broadcast table for current stageId.
    // We will only cache 1 HT at any time. If the stageId changes, we will drop the old cached HT
    prestoSparkBroadcastTableCacheManager.removeCachedTablesForStagesOtherThan(stageId);
    // TODO: include attemptId in taskId
    TaskId taskId = new TaskId(new StageExecutionId(stageId, 0), partitionId);
    List<TaskSource> taskSources = getTaskSources(serializedTaskSources);
    log.info("Task [%s] received %d splits.", taskId, taskSources.stream().mapToInt(taskSource -> taskSource.getSplits().size()).sum());
    OptionalLong totalSplitSize = computeAllSplitsSize(taskSources);
    if (totalSplitSize.isPresent()) {
        log.info("Total split size: %s bytes.", totalSplitSize.getAsLong());
    }
    // TODO: Remove this once we can display the plan on Spark UI.
    log.info(PlanPrinter.textPlanFragment(fragment, functionAndTypeManager, session, true));
    DataSize maxUserMemory = new DataSize(min(nodeMemoryConfig.getMaxQueryMemoryPerNode().toBytes(), getQueryMaxMemoryPerNode(session).toBytes()), BYTE);
    DataSize maxTotalMemory = new DataSize(min(nodeMemoryConfig.getMaxQueryTotalMemoryPerNode().toBytes(), getQueryMaxTotalMemoryPerNode(session).toBytes()), BYTE);
    DataSize maxBroadcastMemory = getSparkBroadcastJoinMaxMemoryOverride(session);
    if (maxBroadcastMemory == null) {
        maxBroadcastMemory = new DataSize(min(nodeMemoryConfig.getMaxQueryBroadcastMemory().toBytes(), getQueryMaxBroadcastMemory(session).toBytes()), BYTE);
    }
    MemoryPool memoryPool = new MemoryPool(new MemoryPoolId("spark-executor-memory-pool"), maxTotalMemory);
    SpillSpaceTracker spillSpaceTracker = new SpillSpaceTracker(maxQuerySpillPerNode);
    QueryContext queryContext = new QueryContext(session.getQueryId(), maxUserMemory, maxTotalMemory, maxBroadcastMemory, maxRevocableMemory, memoryPool, new TestingGcMonitor(), notificationExecutor, yieldExecutor, maxQuerySpillPerNode, spillSpaceTracker, memoryReservationSummaryJsonCodec);
    queryContext.setVerboseExceededMemoryLimitErrorsEnabled(isVerboseExceededMemoryLimitErrorsEnabled(session));
    queryContext.setHeapDumpOnExceededMemoryLimitEnabled(isHeapDumpOnExceededMemoryLimitEnabled(session));
    String heapDumpFilePath = Paths.get(getHeapDumpFileDirectory(session), format("%s_%s.hprof", session.getQueryId().getId(), stageId.getId())).toString();
    queryContext.setHeapDumpFilePath(heapDumpFilePath);
    TaskStateMachine taskStateMachine = new TaskStateMachine(taskId, notificationExecutor);
    TaskContext taskContext = queryContext.addTaskContext(taskStateMachine, session, // Plan has to be retained only if verbose memory exceeded errors are requested
    isVerboseExceededMemoryLimitErrorsEnabled(session) ? Optional.of(fragment.getRoot()) : Optional.empty(), perOperatorCpuTimerEnabled, cpuTimerEnabled, perOperatorAllocationTrackingEnabled, allocationTrackingEnabled, false);
    final double memoryRevokingThreshold = getMemoryRevokingThreshold(session);
    final double memoryRevokingTarget = getMemoryRevokingTarget(session);
    checkArgument(memoryRevokingTarget <= memoryRevokingThreshold, "memoryRevokingTarget should be less than or equal memoryRevokingThreshold, but got %s and %s respectively", memoryRevokingTarget, memoryRevokingThreshold);
    if (isSpillEnabled(session)) {
        memoryPool.addListener((pool, queryId, totalMemoryReservationBytes) -> {
            if (totalMemoryReservationBytes > queryContext.getPeakNodeTotalMemory()) {
                queryContext.setPeakNodeTotalMemory(totalMemoryReservationBytes);
            }
            if (totalMemoryReservationBytes > pool.getMaxBytes() * memoryRevokingThreshold && memoryRevokeRequestInProgress.compareAndSet(false, true)) {
                memoryRevocationExecutor.execute(() -> {
                    try {
                        AtomicLong remainingBytesToRevoke = new AtomicLong(totalMemoryReservationBytes - (long) (memoryRevokingTarget * pool.getMaxBytes()));
                        remainingBytesToRevoke.addAndGet(-MemoryRevokingSchedulerUtils.getMemoryAlreadyBeingRevoked(ImmutableList.of(taskContext), remainingBytesToRevoke.get()));
                        taskContext.accept(new VoidTraversingQueryContextVisitor<AtomicLong>() {

                            @Override
                            public Void visitOperatorContext(OperatorContext operatorContext, AtomicLong remainingBytesToRevoke) {
                                if (remainingBytesToRevoke.get() > 0) {
                                    long revokedBytes = operatorContext.requestMemoryRevoking();
                                    if (revokedBytes > 0) {
                                        memoryRevokePending.set(true);
                                        remainingBytesToRevoke.addAndGet(-revokedBytes);
                                    }
                                }
                                return null;
                            }
                        }, remainingBytesToRevoke);
                        memoryRevokeRequestInProgress.set(false);
                    } catch (Exception e) {
                        log.error(e, "Error requesting memory revoking");
                    }
                });
            }
            // Get the latest memory reservation info since it might have changed due to revoke
            long totalReservedMemory = pool.getQueryMemoryReservation(queryId) + pool.getQueryRevocableMemoryReservation(queryId);
            // If total memory usage is over maxTotalMemory and memory revoke request is not pending, fail the query with EXCEEDED_MEMORY_LIMIT error
            if (totalReservedMemory > maxTotalMemory.toBytes() && !memoryRevokeRequestInProgress.get() && !isMemoryRevokePending(taskContext)) {
                throw exceededLocalTotalMemoryLimit(maxTotalMemory, queryContext.getAdditionalFailureInfo(totalReservedMemory, 0) + format("Total reserved memory: %s, Total revocable memory: %s", succinctBytes(pool.getQueryMemoryReservation(queryId)), succinctBytes(pool.getQueryRevocableMemoryReservation(queryId))), isHeapDumpOnExceededMemoryLimitEnabled(session), Optional.ofNullable(heapDumpFilePath));
            }
        });
    }
    ImmutableMap.Builder<PlanNodeId, List<PrestoSparkShuffleInput>> shuffleInputs = ImmutableMap.builder();
    ImmutableMap.Builder<PlanNodeId, List<java.util.Iterator<PrestoSparkSerializedPage>>> pageInputs = ImmutableMap.builder();
    ImmutableMap.Builder<PlanNodeId, List<?>> broadcastInputs = ImmutableMap.builder();
    for (RemoteSourceNode remoteSource : fragment.getRemoteSourceNodes()) {
        List<PrestoSparkShuffleInput> remoteSourceRowInputs = new ArrayList<>();
        List<java.util.Iterator<PrestoSparkSerializedPage>> remoteSourcePageInputs = new ArrayList<>();
        List<List<?>> broadcastInputsList = new ArrayList<>();
        for (PlanFragmentId sourceFragmentId : remoteSource.getSourceFragmentIds()) {
            Iterator<Tuple2<MutablePartitionId, PrestoSparkMutableRow>> shuffleInput = inputs.getShuffleInputs().get(sourceFragmentId.toString());
            Broadcast<?> broadcastInput = inputs.getBroadcastInputs().get(sourceFragmentId.toString());
            List<PrestoSparkSerializedPage> inMemoryInput = inputs.getInMemoryInputs().get(sourceFragmentId.toString());
            if (shuffleInput != null) {
                checkArgument(broadcastInput == null, "single remote source is not expected to accept different kind of inputs");
                checkArgument(inMemoryInput == null, "single remote source is not expected to accept different kind of inputs");
                remoteSourceRowInputs.add(new PrestoSparkShuffleInput(sourceFragmentId.getId(), shuffleInput));
                continue;
            }
            if (broadcastInput != null) {
                checkArgument(inMemoryInput == null, "single remote source is not expected to accept different kind of inputs");
                // TODO: Enable NullifyingIterator once migrated to one task per JVM model
                // NullifyingIterator removes element from the list upon return
                // This allows GC to gradually reclaim memory
                // remoteSourcePageInputs.add(getNullifyingIterator(broadcastInput.value()));
                broadcastInputsList.add((List<?>) broadcastInput.value());
                continue;
            }
            if (inMemoryInput != null) {
                // for inmemory inputs pages can be released incrementally to save memory
                remoteSourcePageInputs.add(getNullifyingIterator(inMemoryInput));
                continue;
            }
            throw new IllegalArgumentException("Input not found for sourceFragmentId: " + sourceFragmentId);
        }
        if (!remoteSourceRowInputs.isEmpty()) {
            shuffleInputs.put(remoteSource.getId(), remoteSourceRowInputs);
        }
        if (!remoteSourcePageInputs.isEmpty()) {
            pageInputs.put(remoteSource.getId(), remoteSourcePageInputs);
        }
        if (!broadcastInputsList.isEmpty()) {
            broadcastInputs.put(remoteSource.getId(), broadcastInputsList);
        }
    }
    OutputBufferMemoryManager memoryManager = new OutputBufferMemoryManager(sinkMaxBufferSize.toBytes(), () -> queryContext.getTaskContextByTaskId(taskId).localSystemMemoryContext(), notificationExecutor);
    Optional<OutputPartitioning> preDeterminedPartition = Optional.empty();
    if (fragment.getPartitioningScheme().getPartitioning().getHandle().equals(FIXED_ARBITRARY_DISTRIBUTION)) {
        int partitionCount = getHashPartitionCount(session);
        preDeterminedPartition = Optional.of(new OutputPartitioning(new PreDeterminedPartitionFunction(partitionId % partitionCount, partitionCount), ImmutableList.of(), ImmutableList.of(), false, OptionalInt.empty()));
    }
    TempDataOperationContext tempDataOperationContext = new TempDataOperationContext(session.getSource(), session.getQueryId().getId(), session.getClientInfo(), Optional.of(session.getClientTags()), session.getIdentity());
    TempStorage tempStorage = tempStorageManager.getTempStorage(storageBasedBroadcastJoinStorage);
    Output<T> output = configureOutput(outputType, blockEncodingManager, memoryManager, getShuffleOutputTargetAverageRowSize(session), preDeterminedPartition, tempStorage, tempDataOperationContext, getStorageBasedBroadcastJoinWriteBufferSize(session));
    PrestoSparkOutputBuffer<?> outputBuffer = output.getOutputBuffer();
    LocalExecutionPlan localExecutionPlan = localExecutionPlanner.plan(taskContext, fragment.getRoot(), fragment.getPartitioningScheme(), fragment.getStageExecutionDescriptor(), fragment.getTableScanSchedulingOrder(), output.getOutputFactory(), new PrestoSparkRemoteSourceFactory(blockEncodingManager, shuffleInputs.build(), pageInputs.build(), broadcastInputs.build(), partitionId, shuffleStatsCollector, tempStorage, tempDataOperationContext, prestoSparkBroadcastTableCacheManager, stageId), taskDescriptor.getTableWriteInfo(), true);
    taskStateMachine.addStateChangeListener(state -> {
        if (state.isDone()) {
            outputBuffer.setNoMoreRows();
        }
    });
    PrestoSparkTaskExecution taskExecution = new PrestoSparkTaskExecution(taskStateMachine, taskContext, localExecutionPlan, taskExecutor, splitMonitor, notificationExecutor, memoryUpdateExecutor);
    taskExecution.start(taskSources);
    return new PrestoSparkTaskExecutor<>(taskContext, taskStateMachine, output.getOutputSupplier(), taskInfoCodec, taskInfoCollector, shuffleStatsCollector, executionExceptionFactory, output.getOutputBufferType(), outputBuffer, tempStorage, tempDataOperationContext);
}