Examples with ResettableRandomizedIterator com.facebook.presto.execution.scheduler.ResettableRandomizedIterator used on opensource projects

Example 1 with ResettableRandomizedIterator

use of com.facebook.presto.execution.scheduler.ResettableRandomizedIterator in project presto by prestodb.

the class SimpleTtlNodeSelector method getEligibleNodes.

private List<InternalNode> getEligibleNodes(int limit, NodeMap nodeMap, List<RemoteTask> existingTasks) {
    Map<InternalNode, NodeTtl> nodeTtlInfo = nodeTtlFetcherManager.getAllTtls();
    Map<InternalNode, Optional<ConfidenceBasedTtlInfo>> ttlInfo = nodeTtlInfo.entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, e -> e.getValue().getTtlInfo().stream().min(Comparator.comparing(ConfidenceBasedTtlInfo::getExpiryInstant))));
    Duration estimatedExecutionTimeRemaining = getEstimatedExecutionTimeRemaining();
    // Of the nodes on which already have existing tasks, pick only those whose TTL is enough
    List<InternalNode> existingEligibleNodes = existingTasks.stream().map(remoteTask -> nodeMap.getActiveNodesByNodeId().get(remoteTask.getNodeId())).filter(Objects::nonNull).filter(ttlInfo::containsKey).filter(node -> ttlInfo.get(node).isPresent()).filter(node -> isTtlEnough(ttlInfo.get(node).get(), estimatedExecutionTimeRemaining)).collect(toList());
    int alreadySelectedNodeCount = existingEligibleNodes.size();
    List<InternalNode> activeNodes = nodeMap.getActiveNodes();
    List<InternalNode> newEligibleNodes = filterNodesByTtl(activeNodes, ImmutableSet.copyOf(existingEligibleNodes), ttlInfo, estimatedExecutionTimeRemaining);
    if (alreadySelectedNodeCount < limit && newEligibleNodes.size() > 0) {
        List<InternalNode> moreNodes = selectNodes(limit - alreadySelectedNodeCount, new ResettableRandomizedIterator<>(newEligibleNodes));
        existingEligibleNodes.addAll(moreNodes);
    }
    verify(existingEligibleNodes.stream().allMatch(Objects::nonNull), "existingNodes list must not contain any nulls");
    return existingEligibleNodes;
}

Example 2 with ResettableRandomizedIterator

use of com.facebook.presto.execution.scheduler.ResettableRandomizedIterator in project presto by prestodb.

the class SimpleTtlNodeSelector method selectRandomNodes.

@Override
public List<InternalNode> selectRandomNodes(int limit, Set<InternalNode> excludedNodes) {
    Map<InternalNode, NodeTtl> nodeTtlInfo = nodeTtlFetcherManager.getAllTtls();
    Map<InternalNode, Optional<ConfidenceBasedTtlInfo>> ttlInfo = nodeTtlInfo.entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, e -> e.getValue().getTtlInfo().stream().min(Comparator.comparing(ConfidenceBasedTtlInfo::getExpiryInstant))));
    NodeMap nodeMap = this.nodeMap.get().get();
    List<InternalNode> activeNodes = nodeMap.getActiveNodes();
    Duration estimatedExecutionTimeRemaining = getEstimatedExecutionTimeRemaining();
    List<InternalNode> eligibleNodes = filterNodesByTtl(activeNodes, excludedNodes, ttlInfo, estimatedExecutionTimeRemaining);
    return selectNodes(limit, new ResettableRandomizedIterator<>(eligibleNodes));
}

Example 3 with ResettableRandomizedIterator

use of com.facebook.presto.execution.scheduler.ResettableRandomizedIterator in project presto by prestodb.

the class TopologyAwareNodeSelector method computeAssignments.

@Override
public SplitPlacementResult computeAssignments(Set<Split> splits, List<RemoteTask> existingTasks) {
    NodeMap nodeMap = this.nodeMap.get().get();
    Multimap<InternalNode, Split> assignment = HashMultimap.create();
    NodeAssignmentStats assignmentStats = new NodeAssignmentStats(nodeTaskMap, nodeMap, existingTasks);
    int[] topologicCounters = new int[topologicalSplitCounters.size()];
    Set<NetworkLocation> filledLocations = new HashSet<>();
    Set<InternalNode> blockedExactNodes = new HashSet<>();
    boolean splitWaitingForAnyNode = false;
    NodeProvider nodeProvider = nodeMap.getActiveNodeProvider(nodeSelectionHashStrategy);
    for (Split split : splits) {
        SplitWeight splitWeight = split.getSplitWeight();
        if (split.getNodeSelectionStrategy() == HARD_AFFINITY) {
            List<InternalNode> candidateNodes = selectExactNodes(nodeMap, split.getPreferredNodes(nodeProvider), includeCoordinator);
            if (candidateNodes.isEmpty()) {
                log.debug("No nodes available to schedule %s. Available nodes %s", split, nodeMap.getActiveNodes());
                throw new PrestoException(NO_NODES_AVAILABLE, "No nodes available to run query");
            }
            InternalNode chosenNode = bestNodeSplitCount(splitWeight, candidateNodes.iterator(), minCandidates, maxPendingSplitsWeightPerTask, assignmentStats);
            if (chosenNode != null) {
                assignment.put(chosenNode, split);
                assignmentStats.addAssignedSplit(chosenNode, splitWeight);
            } else // Exact node set won't matter, if a split is waiting for any node
            if (!splitWaitingForAnyNode) {
                blockedExactNodes.addAll(candidateNodes);
            }
            continue;
        }
        InternalNode chosenNode = null;
        int depth = networkLocationSegmentNames.size();
        int chosenDepth = 0;
        Set<NetworkLocation> locations = new HashSet<>();
        for (HostAddress host : split.getPreferredNodes(nodeProvider)) {
            locations.add(networkLocationCache.get(host));
        }
        if (locations.isEmpty()) {
            // Add the root location
            locations.add(ROOT_LOCATION);
            depth = 0;
        }
        // Try each address at progressively shallower network locations
        for (int i = depth; i >= 0 && chosenNode == null; i--) {
            for (NetworkLocation location : locations) {
                // For example, locations which couldn't be located will be at the "root" location
                if (location.getSegments().size() < i) {
                    continue;
                }
                location = location.subLocation(0, i);
                if (filledLocations.contains(location)) {
                    continue;
                }
                Set<InternalNode> nodes = nodeMap.getActiveWorkersByNetworkPath().get(location);
                chosenNode = bestNodeSplitCount(splitWeight, new ResettableRandomizedIterator<>(nodes), minCandidates, calculateMaxPendingSplitsWeightPerTask(i, depth), assignmentStats);
                if (chosenNode != null) {
                    chosenDepth = i;
                    break;
                }
                filledLocations.add(location);
            }
        }
        if (chosenNode != null) {
            assignment.put(chosenNode, split);
            assignmentStats.addAssignedSplit(chosenNode, splitWeight);
            topologicCounters[chosenDepth]++;
        } else {
            splitWaitingForAnyNode = true;
        }
    }
    for (int i = 0; i < topologicCounters.length; i++) {
        if (topologicCounters[i] > 0) {
            topologicalSplitCounters.get(i).update(topologicCounters[i]);
        }
    }
    ListenableFuture<?> blocked;
    long maxPendingForWildcardNetworkAffinity = calculateMaxPendingSplitsWeightPerTask(0, networkLocationSegmentNames.size());
    if (splitWaitingForAnyNode) {
        blocked = toWhenHasSplitQueueSpaceFuture(existingTasks, calculateLowWatermark(maxPendingForWildcardNetworkAffinity));
    } else {
        blocked = toWhenHasSplitQueueSpaceFuture(blockedExactNodes, existingTasks, calculateLowWatermark(maxPendingForWildcardNetworkAffinity));
    }
    return new SplitPlacementResult(blocked, assignment);
}