use of org.hypertrace.gateway.service.v1.common.TimeAggregation in project gateway-service by hypertrace.
the class QueryServiceEntityFetcher method buildTimeSeriesQueryRequest.
private QueryRequest buildTimeSeriesQueryRequest(EntitiesRequest entitiesRequest, EntitiesRequestContext context, long periodSecs, List<TimeAggregation> timeAggregationBatch, List<String> idColumns, String timeColumn) {
long alignedStartTime = QueryExpressionUtil.alignToPeriodBoundary(entitiesRequest.getStartTimeMillis(), periodSecs, true);
long alignedEndTime = QueryExpressionUtil.alignToPeriodBoundary(entitiesRequest.getEndTimeMillis(), periodSecs, false);
EntitiesRequest timeAlignedEntitiesRequest = EntitiesRequest.newBuilder(entitiesRequest).setStartTimeMillis(alignedStartTime).setEndTimeMillis(alignedEndTime).build();
QueryRequest.Builder builder = QueryRequest.newBuilder();
timeAggregationBatch.forEach(e -> builder.addSelection(QueryAndGatewayDtoConverter.convertToQueryExpression(e.getAggregation())));
Filter.Builder queryFilter = constructQueryServiceFilter(timeAlignedEntitiesRequest, context, idColumns);
builder.setFilter(queryFilter);
// First group by the id columns.
builder.addAllGroupBy(idColumns.stream().map(QueryRequestUtil::createAttributeExpression).collect(Collectors.toList()));
// Secondary grouping is on time.
builder.addGroupBy(createTimeColumnGroupByExpression(timeColumn, periodSecs));
// Pinot truncates the GroupBy results to 10 when there is no limit explicitly but
// here we neither want the results to be truncated nor apply the limit coming from client.
// We would like to get all entities based on filters so we set the limit to a high value.
// TODO: Figure out a reasonable computed limit instead of this hardcoded one. Probably
// requested limit * expected max number of time series buckets
builder.setLimit(QueryServiceClient.DEFAULT_QUERY_SERVICE_GROUP_BY_LIMIT);
return builder.build();
}
use of org.hypertrace.gateway.service.v1.common.TimeAggregation 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);
}
use of org.hypertrace.gateway.service.v1.common.TimeAggregation in project gateway-service by hypertrace.
the class BaselineServiceImpl method getBaselineForEntities.
public BaselineEntitiesResponse getBaselineForEntities(String tenantId, BaselineEntitiesRequest originalRequest, Map<String, String> requestHeaders) {
BaselineRequestContext requestContext = getRequestContext(tenantId, requestHeaders, originalRequest);
Map<String, AttributeMetadata> attributeMetadataMap = attributeMetadataProvider.getAttributesMetadata(requestContext, originalRequest.getEntityType());
baselineEntitiesRequestValidator.validate(originalRequest, attributeMetadataMap);
String timeColumn = AttributeMetadataUtil.getTimestampAttributeId(attributeMetadataProvider, requestContext, originalRequest.getEntityType());
Map<String, BaselineEntity> baselineEntityAggregatedMetricsMap = new HashMap<>();
Map<String, BaselineEntity> baselineEntityTimeSeriesMap = new HashMap<>();
if (originalRequest.getBaselineAggregateRequestCount() > 0) {
// Aggregated Functions data
Period aggTimePeriod = getPeriod(originalRequest.getStartTimeMillis(), originalRequest.getEndTimeMillis());
long periodSecs = getPeriodInSecs(aggTimePeriod);
long aggStartTime = originalRequest.getStartTimeMillis();
long aggEndTime = originalRequest.getEndTimeMillis();
List<TimeAggregation> timeAggregations = getTimeAggregationsForAggregateExpr(originalRequest, aggStartTime, aggEndTime);
updateAliasMap(requestContext, timeAggregations);
// Take more data to calculate baseline and standard deviation.
long seriesStartTime = getUpdatedStartTime(aggStartTime, aggEndTime);
long seriesEndTime = aggStartTime;
List<String> entityIdAttributes = AttributeMetadataUtil.getIdAttributeIds(attributeMetadataProvider, entityIdColumnsConfigs, requestContext, originalRequest.getEntityType());
QueryRequest aggQueryRequest = baselineServiceQueryParser.getQueryRequest(seriesStartTime, seriesEndTime, originalRequest.getEntityIdsList(), timeColumn, timeAggregations, periodSecs, entityIdAttributes);
Iterator<ResultSetChunk> aggResponseChunkIterator = baselineServiceQueryExecutor.executeQuery(requestHeaders, aggQueryRequest);
BaselineEntitiesResponse aggEntitiesResponse = baselineServiceQueryParser.parseQueryResponse(aggResponseChunkIterator, requestContext, entityIdAttributes.size(), originalRequest.getEntityType(), aggStartTime, aggEndTime);
baselineEntityAggregatedMetricsMap = getEntitiesMapFromAggResponse(aggEntitiesResponse);
}
// Time Series data
if (originalRequest.getBaselineMetricSeriesRequestCount() > 0) {
Period timeSeriesPeriod = getTimeSeriesPeriod(originalRequest.getBaselineMetricSeriesRequestList());
long periodSecs = getPeriodInSecs(timeSeriesPeriod);
long alignedStartTime = QueryExpressionUtil.alignToPeriodBoundary(originalRequest.getStartTimeMillis(), periodSecs, true);
long alignedEndTime = QueryExpressionUtil.alignToPeriodBoundary(originalRequest.getEndTimeMillis(), periodSecs, false);
List<TimeAggregation> timeAggregations = getTimeAggregationsForTimeSeriesExpr(originalRequest);
long seriesStartTime = getUpdatedStartTime(alignedStartTime, alignedEndTime);
long seriesEndTime = alignedStartTime;
List<String> entityIdAttributes = AttributeMetadataUtil.getIdAttributeIds(attributeMetadataProvider, entityIdColumnsConfigs, requestContext, originalRequest.getEntityType());
QueryRequest timeSeriesQueryRequest = baselineServiceQueryParser.getQueryRequest(seriesStartTime, seriesEndTime, originalRequest.getEntityIdsList(), timeColumn, timeAggregations, periodSecs, entityIdAttributes);
Iterator<ResultSetChunk> timeSeriesChunkIterator = baselineServiceQueryExecutor.executeQuery(requestHeaders, timeSeriesQueryRequest);
BaselineEntitiesResponse timeSeriesEntitiesResponse = baselineServiceQueryParser.parseQueryResponse(timeSeriesChunkIterator, requestContext, entityIdAttributes.size(), originalRequest.getEntityType(), alignedStartTime, alignedEndTime);
baselineEntityTimeSeriesMap = getEntitiesMapFromTimeSeriesResponse(timeSeriesEntitiesResponse, alignedStartTime, alignedEndTime, periodSecs);
}
return mergeEntities(baselineEntityAggregatedMetricsMap, baselineEntityTimeSeriesMap);
}
use of org.hypertrace.gateway.service.v1.common.TimeAggregation in project gateway-service by hypertrace.
the class BaselineServiceImpl method getTimeAggregationsForTimeSeriesExpr.
private List<TimeAggregation> getTimeAggregationsForTimeSeriesExpr(BaselineEntitiesRequest originalRequest) {
List<BaselineTimeAggregation> timeSeriesList = originalRequest.getBaselineMetricSeriesRequestList();
List<TimeAggregation> timeAggregations = new ArrayList<>();
for (BaselineTimeAggregation timeAggregation : timeSeriesList) {
Expression aggregation = Expression.newBuilder().setFunction(timeAggregation.getAggregation()).build();
TimeAggregation agg = TimeAggregation.newBuilder().setAggregation(aggregation).setPeriod(timeAggregation.getPeriod()).build();
timeAggregations.add(agg);
}
return timeAggregations;
}
use of org.hypertrace.gateway.service.v1.common.TimeAggregation in project gateway-service by hypertrace.
the class BaselineServiceImpl method getTimeAggregationsForAggregateExpr.
private List<TimeAggregation> getTimeAggregationsForAggregateExpr(BaselineEntitiesRequest originalRequest, long alignedStartTime, long alignedEndTime) {
List<FunctionExpression> aggregateList = originalRequest.getBaselineAggregateRequestList();
List<TimeAggregation> timeAggregationList = new ArrayList<>();
for (FunctionExpression function : aggregateList) {
TimeAggregation timeAggregation = getAggregationFunction(function, alignedStartTime, alignedEndTime);
timeAggregationList.add(timeAggregation);
}
return timeAggregationList;
}
Aggregations