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/*
 * Copyright The OpenTelemetry Authors
 * SPDX-License-Identifier: Apache-2.0
 */

package io.opentelemetry.sdk.metrics.internal.state;

import static io.opentelemetry.sdk.common.export.MemoryMode.REUSABLE_DATA;

import io.opentelemetry.api.common.Attributes;
import io.opentelemetry.api.metrics.ObservableDoubleMeasurement;
import io.opentelemetry.api.metrics.ObservableLongMeasurement;
import io.opentelemetry.context.Context;
import io.opentelemetry.sdk.common.InstrumentationScopeInfo;
import io.opentelemetry.sdk.common.export.MemoryMode;
import io.opentelemetry.sdk.internal.ThrottlingLogger;
import io.opentelemetry.sdk.metrics.View;
import io.opentelemetry.sdk.metrics.data.AggregationTemporality;
import io.opentelemetry.sdk.metrics.data.ExemplarData;
import io.opentelemetry.sdk.metrics.data.MetricData;
import io.opentelemetry.sdk.metrics.data.PointData;
import io.opentelemetry.sdk.metrics.internal.aggregator.Aggregator;
import io.opentelemetry.sdk.metrics.internal.aggregator.AggregatorFactory;
import io.opentelemetry.sdk.metrics.internal.descriptor.InstrumentDescriptor;
import io.opentelemetry.sdk.metrics.internal.descriptor.MetricDescriptor;
import io.opentelemetry.sdk.metrics.internal.exemplar.ExemplarFilter;
import io.opentelemetry.sdk.metrics.internal.export.RegisteredReader;
import io.opentelemetry.sdk.metrics.internal.view.AttributesProcessor;
import io.opentelemetry.sdk.metrics.internal.view.RegisteredView;
import io.opentelemetry.sdk.resources.Resource;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.Map;
import java.util.logging.Level;
import java.util.logging.Logger;

/**
 * Stores aggregated {@link MetricData} for asynchronous instruments.
 *
 * 

This class is internal and is hence not for public use. Its APIs are unstable and can change * at any time. */ final class AsynchronousMetricStorage implements MetricStorage { private static final Logger logger = Logger.getLogger(AsynchronousMetricStorage.class.getName()); private final ThrottlingLogger throttlingLogger = new ThrottlingLogger(logger); private final RegisteredReader registeredReader; private final MetricDescriptor metricDescriptor; private final AggregationTemporality aggregationTemporality; private final Aggregator aggregator; private final AttributesProcessor attributesProcessor; /** * This field is set to 1 less than the actual intended cardinality limit, allowing the last slot * to be filled by the {@link MetricStorage#CARDINALITY_OVERFLOW} series. */ private final int maxCardinality; private Map points; // Only populated if aggregationTemporality == DELTA private Map lastPoints; // Only populated if memoryMode == REUSABLE_DATA private final ObjectPool reusablePointsPool; // Only populated if memoryMode == REUSABLE_DATA private final ArrayList reusableResultList = new ArrayList<>(); private final MemoryMode memoryMode; private AsynchronousMetricStorage( RegisteredReader registeredReader, MetricDescriptor metricDescriptor, Aggregator aggregator, AttributesProcessor attributesProcessor, int maxCardinality) { this.registeredReader = registeredReader; this.metricDescriptor = metricDescriptor; this.aggregationTemporality = registeredReader .getReader() .getAggregationTemporality(metricDescriptor.getSourceInstrument().getType()); this.memoryMode = registeredReader.getReader().getMemoryMode(); this.aggregator = aggregator; this.attributesProcessor = attributesProcessor; this.maxCardinality = maxCardinality - 1; this.reusablePointsPool = new ObjectPool<>(aggregator::createReusablePoint); if (memoryMode == REUSABLE_DATA) { lastPoints = new PooledHashMap<>(); points = new PooledHashMap<>(); } else { lastPoints = new HashMap<>(); points = new HashMap<>(); } } /** * Create an asynchronous storage instance for the {@link View} and {@link InstrumentDescriptor}. */ // TODO(anuraaga): The cast to generic type here looks suspicious. static AsynchronousMetricStorage create( RegisteredReader registeredReader, RegisteredView registeredView, InstrumentDescriptor instrumentDescriptor) { View view = registeredView.getView(); MetricDescriptor metricDescriptor = MetricDescriptor.create(view, registeredView.getViewSourceInfo(), instrumentDescriptor); Aggregator aggregator = ((AggregatorFactory) view.getAggregation()) .createAggregator(instrumentDescriptor, ExemplarFilter.alwaysOff()); return new AsynchronousMetricStorage<>( registeredReader, metricDescriptor, aggregator, registeredView.getViewAttributesProcessor(), registeredView.getCardinalityLimit()); } /** * Record callback measurement from {@link ObservableLongMeasurement} or {@link * ObservableDoubleMeasurement}. */ void record(Measurement measurement) { Context context = Context.current(); Attributes processedAttributes = attributesProcessor.process(measurement.attributes(), context); long start = aggregationTemporality == AggregationTemporality.DELTA ? registeredReader.getLastCollectEpochNanos() : measurement.startEpochNanos(); measurement = measurement.withAttributes(processedAttributes).withStartEpochNanos(start); recordPoint(processedAttributes, measurement); } private void recordPoint(Attributes attributes, Measurement measurement) { if (points.size() >= maxCardinality) { throttlingLogger.log( Level.WARNING, "Instrument " + metricDescriptor.getSourceInstrument().getName() + " has exceeded the maximum allowed cardinality (" + maxCardinality + ")."); attributes = MetricStorage.CARDINALITY_OVERFLOW; measurement = measurement.withAttributes(attributes); } else if (points.containsKey( attributes)) { // Check there is not already a recording for the attributes throttlingLogger.log( Level.WARNING, "Instrument " + metricDescriptor.getSourceInstrument().getName() + " has recorded multiple values for the same attributes: " + attributes); return; } T dataPoint; if (memoryMode == REUSABLE_DATA) { dataPoint = reusablePointsPool.borrowObject(); aggregator.toPoint(measurement, dataPoint); } else { dataPoint = aggregator.toPoint(measurement); } points.put(attributes, dataPoint); } @Override public MetricDescriptor getMetricDescriptor() { return metricDescriptor; } /** Returns the registered reader this storage is associated with. */ public RegisteredReader getRegisteredReader() { return registeredReader; } @Override public MetricData collect( Resource resource, InstrumentationScopeInfo instrumentationScopeInfo, long startEpochNanos, long epochNanos) { if (memoryMode == REUSABLE_DATA) { // Collect can not run concurrently for same reader, hence we safely assume // the previous collect result has been used and done with reusableResultList.forEach(reusablePointsPool::returnObject); reusableResultList.clear(); } Collection result; if (aggregationTemporality == AggregationTemporality.DELTA) { Map points = this.points; Map lastPoints = this.lastPoints; Collection deltaPoints; if (memoryMode == REUSABLE_DATA) { deltaPoints = reusableResultList; } else { deltaPoints = new ArrayList<>(); } points.forEach( (k, v) -> { T lastPoint = lastPoints.get(k); T deltaPoint; if (lastPoint == null) { if (memoryMode == REUSABLE_DATA) { deltaPoint = reusablePointsPool.borrowObject(); aggregator.copyPoint(v, deltaPoint); } else { deltaPoint = v; } } else { if (memoryMode == REUSABLE_DATA) { aggregator.diffInPlace(lastPoint, v); deltaPoint = lastPoint; // Remaining last points are returned to reusablePointsPool, but // this reusable point is still used, so don't return it to pool yet lastPoints.remove(k); } else { deltaPoint = aggregator.diff(lastPoint, v); } } deltaPoints.add(deltaPoint); }); if (memoryMode == REUSABLE_DATA) { lastPoints.forEach((k, v) -> reusablePointsPool.returnObject(v)); lastPoints.clear(); this.points = lastPoints; } else { this.points = new HashMap<>(); } this.lastPoints = points; result = deltaPoints; } else /* CUMULATIVE */ { if (memoryMode == REUSABLE_DATA) { points.forEach((k, v) -> reusableResultList.add(v)); points.clear(); result = reusableResultList; } else { result = points.values(); points = new HashMap<>(); } } return aggregator.toMetricData( resource, instrumentationScopeInfo, metricDescriptor, result, aggregationTemporality); } @Override public boolean isEmpty() { return aggregator == Aggregator.drop(); } }





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