Examples with ResultWriteRequest org.opensearch.ad.ratelimit.ResultWriteRequest used on opensource projects

Example 1 with ResultWriteRequest

use of org.opensearch.ad.ratelimit.ResultWriteRequest in project anomaly-detection by opensearch-project.

the class ADResultBulkRequest method writeTo.

@Override
public void writeTo(StreamOutput out) throws IOException {
    super.writeTo(out);
    out.writeVInt(anomalyResults.size());
    for (ResultWriteRequest result : anomalyResults) {
        result.writeTo(out);
    }
}

Example 2 with ResultWriteRequest

use of org.opensearch.ad.ratelimit.ResultWriteRequest in project anomaly-detection by opensearch-project.

the class EntityResultTransportAction method onGetDetector.

private ActionListener<Optional<AnomalyDetector>> onGetDetector(ActionListener<AcknowledgedResponse> listener, String detectorId, EntityResultRequest request, Optional<Exception> prevException) {
    return ActionListener.wrap(detectorOptional -> {
        if (!detectorOptional.isPresent()) {
            listener.onFailure(new EndRunException(detectorId, "AnomalyDetector is not available.", true));
            return;
        }
        AnomalyDetector detector = detectorOptional.get();
        if (request.getEntities() == null) {
            listener.onResponse(null);
            return;
        }
        Instant executionStartTime = Instant.now();
        Map<Entity, double[]> cacheMissEntities = new HashMap<>();
        for (Entry<Entity, double[]> entityEntry : request.getEntities().entrySet()) {
            Entity categoricalValues = entityEntry.getKey();
            if (isEntityeFromOldNodeMsg(categoricalValues) && detector.getCategoryField() != null && detector.getCategoryField().size() == 1) {
                Map<String, String> attrValues = categoricalValues.getAttributes();
                // handle a request from a version before OpenSearch 1.1.
                categoricalValues = Entity.createSingleAttributeEntity(detector.getCategoryField().get(0), attrValues.get(CommonName.EMPTY_FIELD));
            }
            Optional<String> modelIdOptional = categoricalValues.getModelId(detectorId);
            if (false == modelIdOptional.isPresent()) {
                continue;
            }
            String modelId = modelIdOptional.get();
            double[] datapoint = entityEntry.getValue();
            ModelState<EntityModel> entityModel = cache.get().get(modelId, detector);
            if (entityModel == null) {
                // cache miss
                cacheMissEntities.put(categoricalValues, datapoint);
                continue;
            }
            ThresholdingResult result = modelManager.getAnomalyResultForEntity(datapoint, entityModel, modelId, categoricalValues, detector.getShingleSize());
            // So many OpenSearchRejectedExecutionException if we write no matter what
            if (result.getRcfScore() > 0) {
                AnomalyResult resultToSave = result.toAnomalyResult(detector, Instant.ofEpochMilli(request.getStart()), Instant.ofEpochMilli(request.getEnd()), executionStartTime, Instant.now(), ParseUtils.getFeatureData(datapoint, detector), categoricalValues, indexUtil.getSchemaVersion(ADIndex.RESULT), modelId, null, null);
                resultWriteQueue.put(new ResultWriteRequest(System.currentTimeMillis() + detector.getDetectorIntervalInMilliseconds(), detectorId, result.getGrade() > 0 ? RequestPriority.HIGH : RequestPriority.MEDIUM, resultToSave, detector.getResultIndex()));
            }
        }
        // split hot and cold entities
        Pair<List<Entity>, List<Entity>> hotColdEntities = cache.get().selectUpdateCandidate(cacheMissEntities.keySet(), detectorId, detector);
        List<EntityFeatureRequest> hotEntityRequests = new ArrayList<>();
        List<EntityFeatureRequest> coldEntityRequests = new ArrayList<>();
        for (Entity hotEntity : hotColdEntities.getLeft()) {
            double[] hotEntityValue = cacheMissEntities.get(hotEntity);
            if (hotEntityValue == null) {
                LOG.error(new ParameterizedMessage("feature value should not be null: [{}]", hotEntity));
                continue;
            }
            hotEntityRequests.add(new EntityFeatureRequest(System.currentTimeMillis() + detector.getDetectorIntervalInMilliseconds(), detectorId, // hot entities has MEDIUM priority
            RequestPriority.MEDIUM, hotEntity, hotEntityValue, request.getStart()));
        }
        for (Entity coldEntity : hotColdEntities.getRight()) {
            double[] coldEntityValue = cacheMissEntities.get(coldEntity);
            if (coldEntityValue == null) {
                LOG.error(new ParameterizedMessage("feature value should not be null: [{}]", coldEntity));
                continue;
            }
            coldEntityRequests.add(new EntityFeatureRequest(System.currentTimeMillis() + detector.getDetectorIntervalInMilliseconds(), detectorId, // cold entities has LOW priority
            RequestPriority.LOW, coldEntity, coldEntityValue, request.getStart()));
        }
        checkpointReadQueue.putAll(hotEntityRequests);
        coldEntityQueue.putAll(coldEntityRequests);
        // respond back
        if (prevException.isPresent()) {
            listener.onFailure(prevException.get());
        } else {
            listener.onResponse(new AcknowledgedResponse(true));
        }
    }, exception -> {
        LOG.error(new ParameterizedMessage("fail to get entity's anomaly grade for detector [{}]: start: [{}], end: [{}]", detectorId, request.getStart(), request.getEnd()), exception);
        listener.onFailure(exception);
    });
}

Example 3 with ResultWriteRequest

use of org.opensearch.ad.ratelimit.ResultWriteRequest in project anomaly-detection by opensearch-project.

the class MultiEntityResultHandlerTests method setUp.

@Override
public void setUp() throws Exception {
    super.setUp();
    handler = new MultiEntityResultHandler(client, settings, threadPool, anomalyDetectionIndices, clientUtil, indexUtil, clusterService);
    request = new ADResultBulkRequest();
    ResultWriteRequest resultWriteRequest = new ResultWriteRequest(Instant.now().plus(10, ChronoUnit.MINUTES).toEpochMilli(), detectorId, RequestPriority.MEDIUM, TestHelpers.randomAnomalyDetectResult(), null);
    request.add(resultWriteRequest);
    response = new ADResultBulkResponse();
    super.setUpLog4jForJUnit(MultiEntityResultHandler.class);
    doAnswer(invocation -> {
        ActionListener<ADResultBulkResponse> listener = invocation.getArgument(2);
        listener.onResponse(response);
        return null;
    }).when(client).execute(eq(ADResultBulkAction.INSTANCE), any(), ArgumentMatchers.<ActionListener<ADResultBulkResponse>>any());
}

Example 4 with ResultWriteRequest

use of org.opensearch.ad.ratelimit.ResultWriteRequest in project anomaly-detection by opensearch-project.

the class ADResultBulkTransportAction method doExecute.

@Override
protected void doExecute(Task task, ADResultBulkRequest request, ActionListener<ADResultBulkResponse> listener) {
    // Concurrent indexing memory limit = 10% of heap
    // indexing pressure = indexing bytes / indexing limit
    // Write all until index pressure (global indexing memory pressure) is less than 80% of 10% of heap. Otherwise, index
    // all non-zero anomaly grade index requests and index zero anomaly grade index requests with probability (1 - index pressure).
    long totalBytes = indexingPressure.getCurrentCombinedCoordinatingAndPrimaryBytes() + indexingPressure.getCurrentReplicaBytes();
    float indexingPressurePercent = (float) totalBytes / primaryAndCoordinatingLimits;
    List<ResultWriteRequest> results = request.getAnomalyResults();
    if (results == null || results.size() < 1) {
        listener.onResponse(new ADResultBulkResponse());
    }
    BulkRequest bulkRequest = new BulkRequest();
    if (indexingPressurePercent <= softLimit) {
        for (ResultWriteRequest resultWriteRequest : results) {
            addResult(bulkRequest, resultWriteRequest.getResult(), resultWriteRequest.getResultIndex());
        }
    } else if (indexingPressurePercent <= hardLimit) {
        // exceed soft limit (60%) but smaller than hard limit (90%)
        float acceptProbability = 1 - indexingPressurePercent;
        for (ResultWriteRequest resultWriteRequest : results) {
            AnomalyResult result = resultWriteRequest.getResult();
            if (result.isHighPriority() || random.nextFloat() < acceptProbability) {
                addResult(bulkRequest, result, resultWriteRequest.getResultIndex());
            }
        }
    } else {
        // if exceeding hard limit, only index non-zero grade or error result
        for (ResultWriteRequest resultWriteRequest : results) {
            AnomalyResult result = resultWriteRequest.getResult();
            if (result.isHighPriority()) {
                addResult(bulkRequest, result, resultWriteRequest.getResultIndex());
            }
        }
    }
    if (bulkRequest.numberOfActions() > 0) {
        client.execute(BulkAction.INSTANCE, bulkRequest, ActionListener.wrap(bulkResponse -> {
            List<IndexRequest> failedRequests = BulkUtil.getFailedIndexRequest(bulkRequest, bulkResponse);
            listener.onResponse(new ADResultBulkResponse(failedRequests));
        }, e -> {
            LOG.error("Failed to bulk index AD result", e);
            listener.onFailure(e);
        }));
    } else {
        listener.onResponse(new ADResultBulkResponse());
    }
}