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Example 1 with NOT_PARTITIONED

use of io.prestosql.spi.connector.NotPartitionedPartitionHandle.NOT_PARTITIONED in project hetu-core by openlookeng.

the class ExtractSpatialJoins method loadKdbTree.

private static KdbTree loadKdbTree(String tableName, Session session, Metadata metadata, SplitManager splitManager, PageSourceManager pageSourceManager, PlanNodeId nodeId) {
    QualifiedObjectName name = toQualifiedObjectName(tableName, session.getCatalog().get(), session.getSchema().get());
    TableHandle tableHandle = metadata.getTableHandle(session, name).orElseThrow(() -> new PrestoException(INVALID_SPATIAL_PARTITIONING, format("Table not found: %s", name)));
    Map<String, ColumnHandle> columnHandles = metadata.getColumnHandles(session, tableHandle);
    List<ColumnHandle> visibleColumnHandles = columnHandles.values().stream().filter(handle -> !metadata.getColumnMetadata(session, tableHandle, handle).isHidden()).collect(toImmutableList());
    checkSpatialPartitioningTable(visibleColumnHandles.size() == 1, "Expected single column for table %s, but found %s columns", name, columnHandles.size());
    ColumnHandle kdbTreeColumn = Iterables.getOnlyElement(visibleColumnHandles);
    Optional<KdbTree> kdbTree = Optional.empty();
    try (SplitSource splitSource = splitManager.getSplits(session, tableHandle, UNGROUPED_SCHEDULING, null, Optional.empty(), Collections.emptyMap(), ImmutableSet.of(), false, nodeId)) {
        while (!Thread.currentThread().isInterrupted()) {
            SplitBatch splitBatch = getFutureValue(splitSource.getNextBatch(NOT_PARTITIONED, Lifespan.taskWide(), 1000));
            List<Split> splits = splitBatch.getSplits();
            for (Split split : splits) {
                try (ConnectorPageSource pageSource = pageSourceManager.createPageSource(session, split, tableHandle, ImmutableList.of(kdbTreeColumn), Optional.empty())) {
                    do {
                        getFutureValue(pageSource.isBlocked());
                        Page page = pageSource.getNextPage();
                        if (page != null && page.getPositionCount() > 0) {
                            checkSpatialPartitioningTable(!kdbTree.isPresent(), "Expected exactly one row for table %s, but found more", name);
                            checkSpatialPartitioningTable(page.getPositionCount() == 1, "Expected exactly one row for table %s, but found %s rows", name, page.getPositionCount());
                            String kdbTreeJson = VARCHAR.getSlice(page.getBlock(0), 0).toStringUtf8();
                            try {
                                kdbTree = Optional.of(KdbTreeUtils.fromJson(kdbTreeJson));
                            } catch (IllegalArgumentException e) {
                                checkSpatialPartitioningTable(false, "Invalid JSON string for KDB tree: %s", e.getMessage());
                            }
                        }
                    } while (!pageSource.isFinished());
                } catch (IOException e) {
                    throw new UncheckedIOException(e);
                }
            }
            if (splitBatch.isLastBatch()) {
                break;
            }
        }
    }
    checkSpatialPartitioningTable(kdbTree.isPresent(), "Expected exactly one row for table %s, but got none", name);
    return kdbTree.get();
}
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Example 2 with NOT_PARTITIONED

use of io.prestosql.spi.connector.NotPartitionedPartitionHandle.NOT_PARTITIONED 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();
}
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NodePartitionMap(io.prestosql.sql.planner.NodePartitionMap) ImmutableMap(com.google.common.collect.ImmutableMap) ConcurrentHashMap(java.util.concurrent.ConcurrentHashMap) HashMap(java.util.HashMap)

Aggregations

Preconditions.checkArgument (com.google.common.base.Preconditions.checkArgument)2 Verify.verify (com.google.common.base.Verify.verify)2 ImmutableList (com.google.common.collect.ImmutableList)2 ImmutableList.toImmutableList (com.google.common.collect.ImmutableList.toImmutableList)2 ImmutableMap (com.google.common.collect.ImmutableMap)2 ImmutableSet (com.google.common.collect.ImmutableSet)2 Iterables (com.google.common.collect.Iterables)2 Session (io.prestosql.Session)2 VisibleForTesting (com.google.common.annotations.VisibleForTesting)1 Preconditions.checkState (com.google.common.base.Preconditions.checkState)1 Splitter (com.google.common.base.Splitter)1 ImmutableMap.toImmutableMap (com.google.common.collect.ImmutableMap.toImmutableMap)1 ImmutableSet.toImmutableSet (com.google.common.collect.ImmutableSet.toImmutableSet)1 Sets.newConcurrentHashSet (com.google.common.collect.Sets.newConcurrentHashSet)1 Ints (com.google.common.primitives.Ints)1 ListenableFuture (com.google.common.util.concurrent.ListenableFuture)1 MoreExecutors.directExecutor (com.google.common.util.concurrent.MoreExecutors.directExecutor)1 SettableFuture (com.google.common.util.concurrent.SettableFuture)1 MoreFutures.getFutureValue (io.airlift.concurrent.MoreFutures.getFutureValue)1 MoreFutures.tryGetFutureValue (io.airlift.concurrent.MoreFutures.tryGetFutureValue)1