Examples with ValueType org.hypertrace.gateway.service.v1.common.ValueType used on opensource projects

Example 1 with ValueType

use of org.hypertrace.gateway.service.v1.common.ValueType in project gateway-service by hypertrace.

the class QueryServiceEntityFetcher method getTimeAggregatedMetrics.

@Override
public EntityFetcherResponse getTimeAggregatedMetrics(EntitiesRequestContext requestContext, EntitiesRequest entitiesRequest) {
    // No need to make execute the rest of this if there are no TimeAggregations in the request.
    if (entitiesRequest.getTimeAggregationCount() == 0) {
        return new EntityFetcherResponse();
    }
    // Only supported filter is entityIds IN ["id1", "id2", "id3"]
    List<String> idColumns = AttributeMetadataUtil.getIdAttributeIds(attributeMetadataProvider, entityIdColumnsConfigs, requestContext, entitiesRequest.getEntityType());
    String timeColumn = AttributeMetadataUtil.getTimestampAttributeId(attributeMetadataProvider, requestContext, entitiesRequest.getEntityType());
    Map<String, AttributeMetadata> attributeMetadataMap = attributeMetadataProvider.getAttributesMetadata(requestContext, entitiesRequest.getEntityType());
    Map<String, AttributeMetadata> resultKeyToAttributeMetadataMap = this.remapAttributeMetadataByResultName(entitiesRequest, attributeMetadataMap);
    entitiesRequestValidator.validate(entitiesRequest, attributeMetadataMap);
    entitiesRequest.getTimeAggregationList().forEach(timeAggregation -> requestContext.mapAliasToTimeAggregation(timeAggregation.getAggregation().getFunction().getAlias(), timeAggregation));
    // First group the Aggregations based on the period so that we can issue separate queries
    // to QueryService for each different Period.
    Collection<List<TimeAggregation>> result = entitiesRequest.getTimeAggregationList().stream().collect(Collectors.groupingBy(TimeAggregation::getPeriod)).values();
    Map<EntityKey, Map<String, MetricSeries.Builder>> entityMetricSeriesMap = new LinkedHashMap<>();
    for (List<TimeAggregation> batch : result) {
        Period period = batch.get(0).getPeriod();
        ChronoUnit unit = ChronoUnit.valueOf(period.getUnit());
        long periodSecs = Duration.of(period.getValue(), unit).getSeconds();
        QueryRequest request = buildTimeSeriesQueryRequest(entitiesRequest, requestContext, periodSecs, batch, idColumns, timeColumn);
        if (LOG.isDebugEnabled()) {
            LOG.debug("Sending time series queryRequest to query service: ======== \n {}", request.toString());
        }
        Iterator<ResultSetChunk> resultSetChunkIterator = queryServiceClient.executeQuery(request, requestContext.getHeaders(), requestTimeout);
        while (resultSetChunkIterator.hasNext()) {
            ResultSetChunk chunk = resultSetChunkIterator.next();
            if (LOG.isDebugEnabled()) {
                LOG.debug("Received chunk: " + chunk.toString());
            }
            if (chunk.getRowCount() < 1) {
                break;
            }
            if (!chunk.hasResultSetMetadata()) {
                LOG.warn("Chunk doesn't have result metadata so couldn't process the response.");
                break;
            }
            for (Row row : chunk.getRowList()) {
                // Construct the entity id from the entityIdAttributeIds columns
                EntityKey entityKey = EntityKey.of(IntStream.range(0, idColumns.size()).mapToObj(value -> row.getColumn(value).getString()).toArray(String[]::new));
                Map<String, MetricSeries.Builder> metricSeriesMap = entityMetricSeriesMap.computeIfAbsent(entityKey, k -> new LinkedHashMap<>());
                Interval.Builder intervalBuilder = Interval.newBuilder();
                // Second column is the time column
                Value value = QueryAndGatewayDtoConverter.convertQueryValueToGatewayValue(row.getColumn(idColumns.size()));
                if (value.getValueType() == ValueType.STRING) {
                    long startTime = Long.parseLong(value.getString());
                    long endTime = startTime + TimeUnit.SECONDS.toMillis(periodSecs);
                    intervalBuilder.setStartTimeMillis(startTime);
                    intervalBuilder.setEndTimeMillis(endTime);
                    for (int i = idColumns.size() + 1; i < chunk.getResultSetMetadata().getColumnMetadataCount(); i++) {
                        ColumnMetadata metadata = chunk.getResultSetMetadata().getColumnMetadata(i);
                        TimeAggregation timeAggregation = requestContext.getTimeAggregationByAlias(metadata.getColumnName());
                        if (timeAggregation == null) {
                            LOG.warn("Couldn't find an aggregate for column: {}", metadata.getColumnName());
                            continue;
                        }
                        FunctionType functionType = timeAggregation.getAggregation().getFunction().getFunction();
                        AttributeMetadata functionAttributeMetadata = resultKeyToAttributeMetadataMap.get(metadata.getColumnName());
                        Value convertedValue = QueryAndGatewayDtoConverter.convertToGatewayValueForMetricValue(MetricAggregationFunctionUtil.getValueTypeForFunctionType(functionType, functionAttributeMetadata), resultKeyToAttributeMetadataMap, metadata, row.getColumn(i));
                        List<org.hypertrace.gateway.service.v1.common.Expression> healthExpressions = timeAggregation.getAggregation().getFunction().getArgumentsList().stream().filter(org.hypertrace.gateway.service.v1.common.Expression::hasHealth).collect(Collectors.toList());
                        Preconditions.checkArgument(healthExpressions.size() <= 1);
                        Health health = Health.NOT_COMPUTED;
                        MetricSeries.Builder seriesBuilder = metricSeriesMap.computeIfAbsent(metadata.getColumnName(), k -> getMetricSeriesBuilder(timeAggregation));
                        seriesBuilder.addValue(Interval.newBuilder(intervalBuilder.build()).setValue(convertedValue).setHealth(health));
                    }
                } else {
                    LOG.warn("Was expecting STRING values only but received valueType: {}", value.getValueType());
                }
            }
        }
    }
    Map<EntityKey, Entity.Builder> resultMap = new LinkedHashMap<>();
    for (Map.Entry<EntityKey, Map<String, MetricSeries.Builder>> entry : entityMetricSeriesMap.entrySet()) {
        Entity.Builder entityBuilder = Entity.newBuilder().setEntityType(entitiesRequest.getEntityType()).setId(entry.getKey().toString()).putAllMetricSeries(entry.getValue().entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey, e -> getSortedMetricSeries(e.getValue()))));
        for (int i = 0; i < idColumns.size(); i++) {
            entityBuilder.putAttribute(idColumns.get(i), Value.newBuilder().setString(entry.getKey().getAttributes().get(i)).setValueType(ValueType.STRING).build());
        }
        resultMap.put(entry.getKey(), entityBuilder);
    }
    return new EntityFetcherResponse(resultMap);
}

Example 2 with ValueType

use of org.hypertrace.gateway.service.v1.common.ValueType in project gateway-service by hypertrace.

the class BaselineServiceQueryParser method parseQueryResponse.

public BaselineEntitiesResponse parseQueryResponse(Iterator<ResultSetChunk> resultSetChunkIterator, BaselineRequestContext requestContext, int idColumnsSize, String entityType, long startTime, long endTime) {
    Map<String, AttributeMetadata> attributeMetadataMap = attributeMetadataProvider.getAttributesMetadata(requestContext, entityType);
    Map<EntityKey, Map<String, BaselineMetricSeries.Builder>> entityMetricSeriesMap = new LinkedHashMap<>();
    boolean isFirstChunk = true;
    ResultSetMetadata resultMetadata = null;
    while (resultSetChunkIterator.hasNext()) {
        ResultSetChunk chunk = resultSetChunkIterator.next();
        LOG.debug("Received chunk: {} ", chunk);
        if (chunk.getRowCount() < 1) {
            break;
        }
        if (isFirstChunk) {
            resultMetadata = chunk.getResultSetMetadata();
            isFirstChunk = false;
        }
        for (Row row : chunk.getRowList()) {
            EntityKey entityKey = EntityKey.of(IntStream.range(0, idColumnsSize).mapToObj(value -> row.getColumn(value).getString()).toArray(String[]::new));
            Map<String, BaselineMetricSeries.Builder> metricSeriesMap = entityMetricSeriesMap.computeIfAbsent(entityKey, k -> new LinkedHashMap<>());
            BaselineInterval.Builder intervalBuilder = BaselineInterval.newBuilder();
            Value value = QueryAndGatewayDtoConverter.convertQueryValueToGatewayValue(row.getColumn(idColumnsSize));
            if (value.getValueType() == ValueType.STRING) {
                for (int i = idColumnsSize + 1; i < resultMetadata.getColumnMetadataCount(); i++) {
                    ColumnMetadata metadata = resultMetadata.getColumnMetadata(i);
                    BaselineTimeAggregation timeAggregation = requestContext.getTimeAggregationByAlias(metadata.getColumnName());
                    if (timeAggregation == null) {
                        LOG.warn("Couldn't find an aggregate for column: {}", metadata.getColumnName());
                        continue;
                    }
                    Value convertedValue = QueryAndGatewayDtoConverter.convertToGatewayValueForMetricValue(MetricAggregationFunctionUtil.getValueTypeForFunctionType(timeAggregation.getAggregation(), attributeMetadataMap), attributeMetadataMap, metadata, row.getColumn(i));
                    BaselineMetricSeries.Builder seriesBuilder = metricSeriesMap.computeIfAbsent(metadata.getColumnName(), k -> BaselineMetricSeries.newBuilder());
                    seriesBuilder.addBaselineValue(BaselineInterval.newBuilder(intervalBuilder.build()).setBaseline(Baseline.newBuilder().setValue(convertedValue).build()).build());
                }
            } else {
                LOG.warn("Was expecting STRING values only but received valueType: {}", value.getValueType());
            }
        }
    }
    List<BaselineEntity> baselineEntities = new ArrayList<>();
    for (Map.Entry<EntityKey, Map<String, BaselineMetricSeries.Builder>> entry : entityMetricSeriesMap.entrySet()) {
        BaselineEntity.Builder entityBuilder = BaselineEntity.newBuilder().setEntityType(entityType).setId(entry.getKey().toString()).putAllBaselineMetricSeries(entry.getValue().entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey, e -> getSortedMetricSeries(e.getValue()))));
        baselineEntities.add(entityBuilder.build());
    }
    return BaselineEntitiesResponse.newBuilder().addAllBaselineEntity(baselineEntities).build();
}