Add capability to have configurable aggregation temporality for OTLP Registry

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/AggregationTemporality.java

@@ -0,0 +1,51 @@
+/*
+ * Copyright 2023 VMware, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package io.micrometer.registry.otlp;
+
+/**
+ * AggregationTemporality defines the way additive values are expressed.
+ *
+ * @see <a href=
+ * "https://opentelemetry.io/docs/reference/specification/metrics/data-model/#temporality">OTLP
+ * Temporality</a>
+ * @author Lenin Jaganathan
+ * @since 1.11.0
+ */
+public enum AggregationTemporality {
+
+    /**
+     * Reported values do not incorporate previous measurements.
+     */
+    DELTA,
+
+    /**
+     * Reported values incorporate previous measurements.
+     */
+    CUMULATIVE;
+
+    public static io.opentelemetry.proto.metrics.v1.AggregationTemporality toOtlpAggregationTemporality(
+            AggregationTemporality aggregationTemporality) {
+        switch (aggregationTemporality) {
+            case DELTA:
+                return io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA;
+            case CUMULATIVE:
+                return io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE;
+            default:
+                return io.opentelemetry.proto.metrics.v1.AggregationTemporality.UNRECOGNIZED;
+        }
+    }
+
+}

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpConfig.java

@@ -26,11 +26,13 @@
 import static io.micrometer.core.instrument.config.MeterRegistryConfigValidator.*;
 import static io.micrometer.core.instrument.config.validate.PropertyValidator.getString;
 import static io.micrometer.core.instrument.config.validate.PropertyValidator.getUrlString;
+import static io.micrometer.core.instrument.config.validate.PropertyValidator.getEnum;
 
 /**
  * Config for {@link OtlpMeterRegistry}.
  *
  * @author Tommy Ludwig
+ * @author Lenin Jaganathan
  * @since 1.9.0
  */
 public interface OtlpConfig extends PushRegistryConfig {
@@ -88,6 +90,21 @@ default Map<String, String> resourceAttributes() {
         return resourceAttributes;
     }
 
+    /**
+     * {@link AggregationTemporality} of the OtlpMeterRegistry. This determines whether
+     * the meters should be cumulative(AGGREGATION_TEMPORALITY_CUMULATIVE) or
+     * step/delta(AGGREGATION_TEMPORALITY_DELTA).
+     * @return the aggregationTemporality for OtlpRegistry
+     * @see <a href=
+     * "https://opentelemetry.io/docs/reference/specification/metrics/data-model/#temporality">OTLP
+     * Temporality</a>
+     * @since 1.11.0
+     */
+    default AggregationTemporality aggregationTemporality() {
+        return getEnum(this, AggregationTemporality.class, "aggregationTemporality")
+            .orElse(AggregationTemporality.CUMULATIVE);
+    }
+
     /**
      * Additional headers to send with exported metrics. This may be needed for
      * authorization headers, for example.
@@ -128,7 +145,8 @@ default Map<String, String> headers() {
     @Override
     default Validated<?> validate() {
         return checkAll(this, c -> PushRegistryConfig.validate(c), checkRequired("url", OtlpConfig::url),
-                check("resourceAttributes", OtlpConfig::resourceAttributes));
+                check("resourceAttributes", OtlpConfig::resourceAttributes),
+                check("aggregationTemporality", OtlpConfig::aggregationTemporality));
     }
 
 }

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCounter.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeCounter.java

@@ -20,11 +20,11 @@
 
 import java.util.concurrent.TimeUnit;
 
-class OtlpCounter extends CumulativeCounter implements StartTimeAwareMeter {
+class OtlpCumulativeCounter extends CumulativeCounter implements StartTimeAwareMeter {
 
     private final long startTimeNanos;
 
-    OtlpCounter(Id id, Clock clock) {
+    OtlpCumulativeCounter(Id id, Clock clock) {
         super(id);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());
     }

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpDistributionSummary.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeDistributionSummary.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2022 VMware, Inc.
+ * Copyright 2023 VMware, Inc.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -23,7 +23,7 @@
 import java.time.Duration;
 import java.util.concurrent.TimeUnit;
 
-class OtlpDistributionSummary extends CumulativeDistributionSummary implements StartTimeAwareMeter {
+class OtlpCumulativeDistributionSummary extends CumulativeDistributionSummary implements StartTimeAwareMeter {
 
     private static final CountAtBucket[] EMPTY_HISTOGRAM = new CountAtBucket[0];
 
@@ -32,19 +32,13 @@ class OtlpDistributionSummary extends CumulativeDistributionSummary implements S
     @Nullable
     private final Histogram monotonicBucketCountHistogram;
 
-    OtlpDistributionSummary(Id id, Clock clock, DistributionStatisticConfig distributionStatisticConfig, double scale,
-            boolean supportsAggregablePercentiles) {
+    OtlpCumulativeDistributionSummary(Id id, Clock clock, DistributionStatisticConfig distributionStatisticConfig,
+            double scale, boolean supportsAggregablePercentiles) {
         super(id, clock, DistributionStatisticConfig.builder()
-            .percentilesHistogram(false) // avoid
-                                         // a
-                                         // histogram
-                                         // for
-                                         // percentiles/SLOs
-                                         // in
-                                         // the
-                                         // super
-            .serviceLevelObjectives() // we will use a different implementation here
-                                      // instead
+            // avoid a histogram for percentiles/SLOs in the super
+            .percentilesHistogram(false)
+            // we will use a different implementation here instead
+            .serviceLevelObjectives()
             .build()
             .merge(distributionStatisticConfig), scale, false);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());
@@ -55,10 +49,8 @@ class OtlpDistributionSummary extends CumulativeDistributionSummary implements S
         if (distributionStatisticConfig.isPublishingHistogram()) {
             this.monotonicBucketCountHistogram = new TimeWindowFixedBoundaryHistogram(clock,
                     DistributionStatisticConfig.builder()
-                        .expiry(Duration.ofDays(1825)) // effectively
-                                                       // never
-                                                       // roll
-                                                       // over
+                        // effectively never roll over
+                        .expiry(Duration.ofDays(1825))
                         .bufferLength(1)
                         .build()
                         .merge(distributionStatisticConfig),
@@ -84,13 +76,9 @@ public HistogramSnapshot takeSnapshot() {
             return snapshot;
         }
 
+        CountAtBucket[] histogramCounts = this.monotonicBucketCountHistogram.takeSnapshot(0, 0, 0).histogramCounts();
         return new HistogramSnapshot(snapshot.count(), snapshot.total(), snapshot.max(), snapshot.percentileValues(),
-                histogramCounts(), snapshot::outputSummary);
-    }
-
-    private CountAtBucket[] histogramCounts() {
-        return this.monotonicBucketCountHistogram == null ? EMPTY_HISTOGRAM
-                : this.monotonicBucketCountHistogram.takeSnapshot(0, 0, 0).histogramCounts();
+                histogramCounts, snapshot::outputSummary);
     }
 
     @Override

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpFunctionCounter.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeFunctionCounter.java

@@ -21,11 +21,11 @@
 import java.util.concurrent.TimeUnit;
 import java.util.function.ToDoubleFunction;
 
-class OtlpFunctionCounter<T> extends CumulativeFunctionCounter<T> implements StartTimeAwareMeter {
+class OtlpCumulativeFunctionCounter<T> extends CumulativeFunctionCounter<T> implements StartTimeAwareMeter {
 
     private final long startTimeNanos;
 
-    OtlpFunctionCounter(Id id, T obj, ToDoubleFunction<T> f, Clock clock) {
+    OtlpCumulativeFunctionCounter(Id id, T obj, ToDoubleFunction<T> f, Clock clock) {
         super(id, obj, f);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());
     }

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpFunctionTimer.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeFunctionTimer.java

@@ -22,11 +22,11 @@
 import java.util.function.ToDoubleFunction;
 import java.util.function.ToLongFunction;
 
-class OtlpFunctionTimer<T> extends CumulativeFunctionTimer<T> implements StartTimeAwareMeter {
+class OtlpCumulativeFunctionTimer<T> extends CumulativeFunctionTimer<T> implements StartTimeAwareMeter {
 
     private final long startTimeNanos;
 
-    OtlpFunctionTimer(Id id, T obj, ToLongFunction<T> countFunction, ToDoubleFunction<T> totalTimeFunction,
+    OtlpCumulativeFunctionTimer(Id id, T obj, ToLongFunction<T> countFunction, ToDoubleFunction<T> totalTimeFunction,
             TimeUnit totalTimeFunctionUnit, TimeUnit baseTimeUnit, Clock clock) {
         super(id, obj, countFunction, totalTimeFunction, totalTimeFunctionUnit, baseTimeUnit);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpLongTaskTimer.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeLongTaskTimer.java

@@ -21,11 +21,11 @@
 
 import java.util.concurrent.TimeUnit;
 
-class OtlpLongTaskTimer extends CumulativeHistogramLongTaskTimer implements StartTimeAwareMeter {
+class OtlpCumulativeLongTaskTimer extends CumulativeHistogramLongTaskTimer implements StartTimeAwareMeter {
 
     private final long startTimeNanos;
 
-    OtlpLongTaskTimer(Id id, Clock clock, TimeUnit baseTimeUnit,
+    OtlpCumulativeLongTaskTimer(Id id, Clock clock, TimeUnit baseTimeUnit,
             DistributionStatisticConfig distributionStatisticConfig) {
         super(id, clock, baseTimeUnit, distributionStatisticConfig);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());

implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpTimer.java → implementations/micrometer-registry-otlp/src/main/java/io/micrometer/registry/otlp/OtlpCumulativeTimer.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2022 VMware, Inc.
+ * Copyright 2023 VMware, Inc.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -25,26 +25,20 @@
 import java.time.Duration;
 import java.util.concurrent.TimeUnit;
 
-class OtlpTimer extends CumulativeTimer implements StartTimeAwareMeter {
+class OtlpCumulativeTimer extends CumulativeTimer implements StartTimeAwareMeter {
 
     private final long startTimeNanos;
 
     @Nullable
     private final Histogram monotonicCountBucketHistogram;
 
-    OtlpTimer(Id id, Clock clock, DistributionStatisticConfig distributionStatisticConfig, PauseDetector pauseDetector,
-            TimeUnit baseTimeUnit) {
+    OtlpCumulativeTimer(Id id, Clock clock, DistributionStatisticConfig distributionStatisticConfig,
+            PauseDetector pauseDetector, TimeUnit baseTimeUnit) {
         super(id, clock, DistributionStatisticConfig.builder()
-            .percentilesHistogram(false) // avoid
-                                         // a
-                                         // histogram
-                                         // for
-                                         // percentiles/SLOs
-                                         // in
-                                         // the
-                                         // super
-            .serviceLevelObjectives() // we will use a different implementation here
-                                      // instead
+            // avoid a histogram for percentiles/SLOs in the super
+            .percentilesHistogram(false)
+            // we will use a different implementation here instead
+            .serviceLevelObjectives()
             .build()
             .merge(distributionStatisticConfig), pauseDetector, baseTimeUnit, false);
         this.startTimeNanos = TimeUnit.MILLISECONDS.toNanos(clock.wallTime());
@@ -54,10 +48,8 @@ class OtlpTimer extends CumulativeTimer implements StartTimeAwareMeter {
         if (distributionStatisticConfig.isPublishingHistogram()) {
             this.monotonicCountBucketHistogram = new TimeWindowFixedBoundaryHistogram(clock,
                     DistributionStatisticConfig.builder()
-                        .expiry(Duration.ofDays(1825)) // effectively
-                                                       // never
-                                                       // roll
-                                                       // over
+                        // effectively never roll over
+                        .expiry(Duration.ofDays(1825))
                         .bufferLength(1)
                         .build()
                         .merge(distributionStatisticConfig),