diff options
Diffstat (limited to 'api/src/main/java/io/opencensus/metrics/export')
9 files changed, 1189 insertions, 1 deletions
diff --git a/api/src/main/java/io/opencensus/metrics/export/Distribution.java b/api/src/main/java/io/opencensus/metrics/export/Distribution.java new file mode 100644 index 00000000..dc9fa9e9 --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/Distribution.java @@ -0,0 +1,280 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.common.Timestamp; +import io.opencensus.internal.Utils; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import javax.annotation.Nullable; +import javax.annotation.concurrent.Immutable; + +/** + * {@link Distribution} contains summary statistics for a population of values. It optionally + * contains a histogram representing the distribution of those values across a set of buckets. + * + * @since 0.17 + */ +@ExperimentalApi +@AutoValue +@Immutable +public abstract class Distribution { + + Distribution() {} + + /** + * Creates a {@link Distribution}. + * + * @param count the count of the population values. + * @param sum the sum of the population values. + * @param sumOfSquaredDeviations the sum of squared deviations of the population values. + * @param bucketBoundaries bucket boundaries of a histogram. + * @param buckets {@link Bucket}s of a histogram. + * @return a {@code Distribution}. + * @since 0.17 + */ + public static Distribution create( + long count, + double sum, + double sumOfSquaredDeviations, + List<Double> bucketBoundaries, + List<Bucket> buckets) { + Utils.checkArgument(count >= 0, "count should be non-negative."); + Utils.checkArgument( + sumOfSquaredDeviations >= 0, "sum of squared deviations should be non-negative."); + if (count == 0) { + Utils.checkArgument(sum == 0, "sum should be 0 if count is 0."); + Utils.checkArgument( + sumOfSquaredDeviations == 0, "sum of squared deviations should be 0 if count is 0."); + } + return new AutoValue_Distribution( + count, + sum, + sumOfSquaredDeviations, + copyBucketBounds(bucketBoundaries), + copyBucketCount(buckets)); + } + + private static List<Double> copyBucketBounds(List<Double> bucketBoundaries) { + Utils.checkNotNull(bucketBoundaries, "bucketBoundaries list should not be null."); + List<Double> bucketBoundariesCopy = new ArrayList<Double>(bucketBoundaries); // Deep copy. + // Check if sorted. + if (bucketBoundariesCopy.size() > 1) { + double lower = bucketBoundariesCopy.get(0); + for (int i = 1; i < bucketBoundariesCopy.size(); i++) { + double next = bucketBoundariesCopy.get(i); + Utils.checkArgument(lower < next, "bucket boundaries not sorted."); + lower = next; + } + } + return Collections.unmodifiableList(bucketBoundariesCopy); + } + + private static List<Bucket> copyBucketCount(List<Bucket> buckets) { + Utils.checkNotNull(buckets, "bucket list should not be null."); + List<Bucket> bucketsCopy = new ArrayList<Bucket>(buckets); + for (Bucket bucket : bucketsCopy) { + Utils.checkNotNull(bucket, "bucket should not be null."); + } + return Collections.unmodifiableList(bucketsCopy); + } + + /** + * Returns the aggregated count. + * + * @return the aggregated count. + * @since 0.17 + */ + public abstract long getCount(); + + /** + * Returns the aggregated sum. + * + * @return the aggregated sum. + * @since 0.17 + */ + public abstract double getSum(); + + /** + * Returns the aggregated sum of squared deviations. + * + * <p>The sum of squared deviations from the mean of the values in the population. For values x_i + * this is: + * + * <p>Sum[i=1..n]((x_i - mean)^2) + * + * <p>If count is zero then this field must be zero. + * + * @return the aggregated sum of squared deviations. + * @since 0.17 + */ + public abstract double getSumOfSquaredDeviations(); + + /** + * Returns the bucket boundaries of this distribution. + * + * <p>The bucket boundaries for that histogram are described by bucket_bounds. This defines + * size(bucket_bounds) + 1 (= N) buckets. The boundaries for bucket index i are: + * + * <ul> + * <li>{@code (-infinity, bucket_bounds[i]) for i == 0} + * <li>{@code [bucket_bounds[i-1], bucket_bounds[i]) for 0 < i < N-2} + * <li>{@code [bucket_bounds[i-1], +infinity) for i == N-1} + * </ul> + * + * <p>i.e. an underflow bucket (number 0), zero or more finite buckets (1 through N - 2, and an + * overflow bucket (N - 1), with inclusive lower bounds and exclusive upper bounds. + * + * <p>If bucket_bounds has no elements (zero size), then there is no histogram associated with the + * Distribution. If bucket_bounds has only one element, there are no finite buckets, and that + * single element is the common boundary of the overflow and underflow buckets. The values must be + * monotonically increasing. + * + * @return the bucket boundaries of this distribution. + * @since 0.17 + */ + public abstract List<Double> getBucketBoundaries(); + + /** + * Returns the aggregated histogram {@link Bucket}s. + * + * @return the aggregated histogram buckets. + * @since 0.17 + */ + public abstract List<Bucket> getBuckets(); + + /** + * The histogram bucket of the population values. + * + * @since 0.17 + */ + @AutoValue + @Immutable + public abstract static class Bucket { + + Bucket() {} + + /** + * Creates a {@link Bucket}. + * + * @param count the number of values in each bucket of the histogram. + * @return a {@code Bucket}. + * @since 0.17 + */ + public static Bucket create(long count) { + Utils.checkArgument(count >= 0, "bucket count should be non-negative."); + return new AutoValue_Distribution_Bucket(count, null); + } + + /** + * Creates a {@link Bucket} with an {@link Exemplar}. + * + * @param count the number of values in each bucket of the histogram. + * @param exemplar the {@code Exemplar} of this {@code Bucket}. + * @return a {@code Bucket}. + * @since 0.17 + */ + public static Bucket create(long count, Exemplar exemplar) { + Utils.checkArgument(count >= 0, "bucket count should be non-negative."); + Utils.checkNotNull(exemplar, "exemplar"); + return new AutoValue_Distribution_Bucket(count, exemplar); + } + + /** + * Returns the number of values in each bucket of the histogram. + * + * @return the number of values in each bucket of the histogram. + * @since 0.17 + */ + public abstract long getCount(); + + /** + * Returns the {@link Exemplar} associated with the {@link Bucket}, or {@code null} if there + * isn't one. + * + * @return the {@code Exemplar} associated with the {@code Bucket}, or {@code null} if there + * isn't one. + * @since 0.17 + */ + @Nullable + public abstract Exemplar getExemplar(); + } + + /** + * An example point that may be used to annotate aggregated distribution values, associated with a + * histogram bucket. + * + * @since 0.17 + */ + @Immutable + @AutoValue + public abstract static class Exemplar { + + Exemplar() {} + + /** + * Returns value of the {@link Exemplar} point. + * + * @return value of the {@code Exemplar} point. + * @since 0.17 + */ + public abstract double getValue(); + + /** + * Returns the time that this {@link Exemplar}'s value was recorded. + * + * @return the time that this {@code Exemplar}'s value was recorded. + * @since 0.17 + */ + public abstract Timestamp getTimestamp(); + + /** + * Returns the contextual information about the example value, represented as a string map. + * + * @return the contextual information about the example value. + * @since 0.17 + */ + public abstract Map<String, String> getAttachments(); + + /** + * Creates an {@link Exemplar}. + * + * @param value value of the {@link Exemplar} point. + * @param timestamp the time that this {@code Exemplar}'s value was recorded. + * @param attachments the contextual information about the example value. + * @return an {@code Exemplar}. + * @since 0.17 + */ + public static Exemplar create( + double value, Timestamp timestamp, Map<String, String> attachments) { + Utils.checkNotNull(attachments, "attachments"); + Map<String, String> attachmentsCopy = + Collections.unmodifiableMap(new HashMap<String, String>(attachments)); + for (Entry<String, String> entry : attachmentsCopy.entrySet()) { + Utils.checkNotNull(entry.getKey(), "key of attachments"); + Utils.checkNotNull(entry.getValue(), "value of attachments"); + } + return new AutoValue_Distribution_Exemplar(value, timestamp, attachmentsCopy); + } + } +} diff --git a/api/src/main/java/io/opencensus/metrics/export/Metric.java b/api/src/main/java/io/opencensus/metrics/export/Metric.java new file mode 100644 index 00000000..07fe356a --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/Metric.java @@ -0,0 +1,104 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.internal.Utils; +import io.opencensus.metrics.export.Value.ValueDistribution; +import io.opencensus.metrics.export.Value.ValueDouble; +import io.opencensus.metrics.export.Value.ValueLong; +import io.opencensus.metrics.export.Value.ValueSummary; +import java.util.List; +import javax.annotation.concurrent.Immutable; + +/** + * A {@link Metric} with one or more {@link TimeSeries}. + * + * @since 0.17 + */ +@ExperimentalApi +@Immutable +@AutoValue +public abstract class Metric { + + Metric() {} + + /** + * Creates a {@link Metric}. + * + * @param metricDescriptor the {@link MetricDescriptor}. + * @param timeSeriesList the {@link TimeSeries} list for this metric. + * @return a {@code Metric}. + * @since 0.17 + */ + public static Metric create(MetricDescriptor metricDescriptor, List<TimeSeries> timeSeriesList) { + checkTypeMatch(metricDescriptor.getType(), timeSeriesList); + return new AutoValue_Metric(metricDescriptor, timeSeriesList); + } + + /** + * Returns the {@link MetricDescriptor} of this metric. + * + * @return the {@code MetricDescriptor} of this metric. + * @since 0.17 + */ + public abstract MetricDescriptor getMetricDescriptor(); + + /** + * Returns the {@link TimeSeries} list for this metric. + * + * <p>The type of the {@link TimeSeries#getPoints()} must match {@link MetricDescriptor.Type}. + * + * @return the {@code TimeSeriesList} for this metric. + * @since 0.17 + */ + public abstract List<TimeSeries> getTimeSeriesList(); + + private static void checkTypeMatch(MetricDescriptor.Type type, List<TimeSeries> timeSeriesList) { + for (TimeSeries timeSeries : timeSeriesList) { + for (Point point : timeSeries.getPoints()) { + Value value = point.getValue(); + String valueClassName = ""; + if (value.getClass().getSuperclass() != null) { // work around nullness check + // AutoValue classes should always have a super class. + valueClassName = value.getClass().getSuperclass().getSimpleName(); + } + switch (type) { + case GAUGE_INT64: + case CUMULATIVE_INT64: + Utils.checkArgument( + value instanceof ValueLong, "Type mismatch: %s, %s.", type, valueClassName); + break; + case CUMULATIVE_DOUBLE: + case GAUGE_DOUBLE: + Utils.checkArgument( + value instanceof ValueDouble, "Type mismatch: %s, %s.", type, valueClassName); + break; + case GAUGE_DISTRIBUTION: + case CUMULATIVE_DISTRIBUTION: + Utils.checkArgument( + value instanceof ValueDistribution, "Type mismatch: %s, %s.", type, valueClassName); + break; + case SUMMARY: + Utils.checkArgument( + value instanceof ValueSummary, "Type mismatch: %s, %s.", type, valueClassName); + } + } + } + } +} diff --git a/api/src/main/java/io/opencensus/metrics/export/MetricDescriptor.java b/api/src/main/java/io/opencensus/metrics/export/MetricDescriptor.java new file mode 100644 index 00000000..a4629f8e --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/MetricDescriptor.java @@ -0,0 +1,173 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.internal.Utils; +import io.opencensus.metrics.LabelKey; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import javax.annotation.concurrent.Immutable; + +/** + * {@link MetricDescriptor} defines a {@code Metric} type and its schema. + * + * @since 0.17 + */ +@ExperimentalApi +@Immutable +@AutoValue +public abstract class MetricDescriptor { + + MetricDescriptor() {} + + /** + * Creates a {@link MetricDescriptor}. + * + * @param name name of {@code MetricDescriptor}. + * @param description description of {@code MetricDescriptor}. + * @param unit the metric unit. + * @param type type of {@code MetricDescriptor}. + * @param labelKeys the label keys associated with the {@code MetricDescriptor}. + * @return a {@code MetricDescriptor}. + * @since 0.17 + */ + public static MetricDescriptor create( + String name, String description, String unit, Type type, List<LabelKey> labelKeys) { + Utils.checkNotNull(labelKeys, "labelKeys"); + Utils.checkListElementNotNull(labelKeys, "labelKey"); + return new AutoValue_MetricDescriptor( + name, + description, + unit, + type, + Collections.unmodifiableList(new ArrayList<LabelKey>(labelKeys))); + } + + /** + * Returns the metric descriptor name. + * + * @return the metric descriptor name. + * @since 0.17 + */ + public abstract String getName(); + + /** + * Returns the description of this metric descriptor. + * + * @return the description of this metric descriptor. + * @since 0.17 + */ + public abstract String getDescription(); + + /** + * Returns the unit of this metric descriptor. + * + * @return the unit of this metric descriptor. + * @since 0.17 + */ + public abstract String getUnit(); + + /** + * Returns the type of this metric descriptor. + * + * @return the type of this metric descriptor. + * @since 0.17 + */ + public abstract Type getType(); + + /** + * Returns the label keys associated with this metric descriptor. + * + * @return the label keys associated with this metric descriptor. + * @since 0.17 + */ + public abstract List<LabelKey> getLabelKeys(); + + /** + * The kind of metric. It describes how the data is reported. + * + * <p>A gauge is an instantaneous measurement of a value. + * + * <p>A cumulative measurement is a value accumulated over a time interval. In a time series, + * cumulative measurements should have the same start time and increasing end times, until an + * event resets the cumulative value to zero and sets a new start time for the following points. + * + * @since 0.17 + */ + public enum Type { + + /** + * An instantaneous measurement of an int64 value. + * + * @since 0.17 + */ + GAUGE_INT64, + + /** + * An instantaneous measurement of a double value. + * + * @since 0.17 + */ + GAUGE_DOUBLE, + + /** + * An instantaneous measurement of a distribution value. The count and sum can go both up and + * down. Used in scenarios like a snapshot of time the current items in a queue have spent + * there. + * + * @since 0.17 + */ + GAUGE_DISTRIBUTION, + + /** + * An cumulative measurement of an int64 value. + * + * @since 0.17 + */ + CUMULATIVE_INT64, + + /** + * An cumulative measurement of a double value. + * + * @since 0.17 + */ + CUMULATIVE_DOUBLE, + + /** + * An cumulative measurement of a distribution value. The count and sum can only go up, if + * resets then the start_time should also be reset. + * + * @since 0.17 + */ + CUMULATIVE_DISTRIBUTION, + + /** + * Some frameworks implemented DISTRIBUTION as a summary of observations (usually things like + * request durations and response sizes). While it also provides a total count of observations + * and a sum of all observed values, it calculates configurable quantiles over a sliding time + * window. + * + * <p>This is not recommended, since it cannot be aggregated. + * + * @since 0.17 + */ + SUMMARY, + } +} diff --git a/api/src/main/java/io/opencensus/metrics/export/MetricProducer.java b/api/src/main/java/io/opencensus/metrics/export/MetricProducer.java new file mode 100644 index 00000000..739a0a9f --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/MetricProducer.java @@ -0,0 +1,40 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import io.opencensus.common.ExperimentalApi; +import java.util.Collection; + +/** + * A {@link Metric} producer that can be registered for exporting using {@link + * MetricProducerManager}. + * + * <p>All implementation MUST be thread-safe. + * + * @since 0.17 + */ +@ExperimentalApi +public abstract class MetricProducer { + + /** + * Returns a collection of produced {@link Metric}s to be exported. + * + * @return a collection of produced {@link Metric}s to be exported. + * @since 0.17 + */ + public abstract Collection<Metric> getMetrics(); +} diff --git a/api/src/main/java/io/opencensus/metrics/export/MetricProducerManager.java b/api/src/main/java/io/opencensus/metrics/export/MetricProducerManager.java index fc864200..304d9294 100644 --- a/api/src/main/java/io/opencensus/metrics/export/MetricProducerManager.java +++ b/api/src/main/java/io/opencensus/metrics/export/MetricProducerManager.java @@ -18,7 +18,6 @@ package io.opencensus.metrics.export; import io.opencensus.common.ExperimentalApi; import io.opencensus.internal.Utils; -import io.opencensus.metrics.MetricProducer; import java.util.Collections; import java.util.Set; import javax.annotation.concurrent.ThreadSafe; diff --git a/api/src/main/java/io/opencensus/metrics/export/Point.java b/api/src/main/java/io/opencensus/metrics/export/Point.java new file mode 100644 index 00000000..1f382f9b --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/Point.java @@ -0,0 +1,63 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.common.Timestamp; +import javax.annotation.concurrent.Immutable; + +/** + * A timestamped measurement of a {@code TimeSeries}. + * + * @since 0.17 + */ +@ExperimentalApi +@AutoValue +@Immutable +public abstract class Point { + + Point() {} + + /** + * Creates a {@link Point}. + * + * @param value the {@link Value} of this {@link Point}. + * @param timestamp the {@link Timestamp} when this {@link Point} was recorded. + * @return a {@code Point}. + * @since 0.17 + */ + public static Point create(Value value, Timestamp timestamp) { + return new AutoValue_Point(value, timestamp); + } + + /** + * Returns the {@link Value}. + * + * @return the {@code Value}. + * @since 0.17 + */ + public abstract Value getValue(); + + /** + * Returns the {@link Timestamp} when this {@link Point} was recorded. + * + * @return the {@code Timestamp}. + * @since 0.17 + */ + public abstract Timestamp getTimestamp(); +} diff --git a/api/src/main/java/io/opencensus/metrics/export/Summary.java b/api/src/main/java/io/opencensus/metrics/export/Summary.java new file mode 100644 index 00000000..c82ca961 --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/Summary.java @@ -0,0 +1,187 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.internal.Utils; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import javax.annotation.Nullable; +import javax.annotation.concurrent.Immutable; + +/** + * Implementation of the {@link Distribution} as a summary of observations. + * + * <p>This is not recommended, since it cannot be aggregated. + * + * @since 0.17 + */ +@ExperimentalApi +@AutoValue +@Immutable +public abstract class Summary { + Summary() {} + + /** + * Creates a {@link Summary}. + * + * @param count the count of the population values. + * @param sum the sum of the population values. + * @param snapshot bucket boundaries of a histogram. + * @return a {@code Summary} with the given values. + * @since 0.17 + */ + public static Summary create(@Nullable Long count, @Nullable Double sum, Snapshot snapshot) { + checkCountAndSum(count, sum); + Utils.checkNotNull(snapshot, "snapshot"); + return new AutoValue_Summary(count, sum, snapshot); + } + + /** + * Returns the aggregated count. If not available returns {@code null}. + * + * @return the aggregated count. + * @since 0.17 + */ + @Nullable + public abstract Long getCount(); + + /** + * Returns the aggregated sum. If not available returns {@code null}. + * + * @return the aggregated sum. + * @since 0.17 + */ + @Nullable + public abstract Double getSum(); + + /** + * Returns the {@link Snapshot}. + * + * @return the {@code Snapshot}. + * @since 0.17 + */ + public abstract Snapshot getSnapshot(); + + /** + * Represents the summary observation of the recorded events over a sliding time window. + * + * @since 0.17 + */ + @Immutable + @AutoValue + public abstract static class Snapshot { + /** + * Returns the number of values in this {@code Snapshot}. If not available returns {@code null}. + * + * @return the number of values in this {@code Snapshot}. + * @since 0.17 + */ + @Nullable + public abstract Long getCount(); + + /** + * Returns the sum of values in this {@code Snapshot}. If not available returns {@code null}. + * + * @return the sum of values in this {@code Snapshot}. + * @since 0.17 + */ + @Nullable + public abstract Double getSum(); + + /** + * Returns the list of {@code ValueAtPercentile}s in this {@code Snapshot}. + * + * @return the list of {@code ValueAtPercentile}s in this {@code Snapshot}. + * @since 0.17 + */ + public abstract List<ValueAtPercentile> getValueAtPercentiles(); + + /** + * Creates a {@link Snapshot}. + * + * @param count the number of values in this {@code Snapshot}. + * @param sum the number of values in this {@code Snapshot}. + * @param valueAtPercentiles the list of {@code ValueAtPercentile}. + * @return a {@code Snapshot} with the given values. + * @since 0.17 + */ + public static Snapshot create( + @Nullable Long count, @Nullable Double sum, List<ValueAtPercentile> valueAtPercentiles) { + checkCountAndSum(count, sum); + Utils.checkNotNull(valueAtPercentiles, "valueAtPercentiles"); + Utils.checkListElementNotNull(valueAtPercentiles, "value in valueAtPercentiles"); + return new AutoValue_Summary_Snapshot( + count, + sum, + Collections.unmodifiableList(new ArrayList<ValueAtPercentile>(valueAtPercentiles))); + } + + /** + * Represents the value at a given percentile of a distribution. + * + * @since 0.17 + */ + @Immutable + @AutoValue + public abstract static class ValueAtPercentile { + /** + * Returns the percentile in this {@code ValueAtPercentile}. + * + * <p>Must be in the interval (0.0, 100.0]. + * + * @return the percentile in this {@code ValueAtPercentile}. + * @since 0.17 + */ + public abstract double getPercentile(); + + /** + * Returns the value in this {@code ValueAtPercentile}. + * + * @return the value in this {@code ValueAtPercentile}. + * @since 0.17 + */ + public abstract double getValue(); + + /** + * Creates a {@link ValueAtPercentile}. + * + * @param percentile the percentile in this {@code ValueAtPercentile}. + * @param value the value in this {@code ValueAtPercentile}. + * @return a {@code ValueAtPercentile} with the given values. + * @since 0.17 + */ + public static ValueAtPercentile create(double percentile, double value) { + Utils.checkArgument( + 0 < percentile && percentile <= 100.0, + "percentile must be in the interval (0.0, 100.0]"); + Utils.checkArgument(value >= 0, "value must be non-negative"); + return new AutoValue_Summary_Snapshot_ValueAtPercentile(percentile, value); + } + } + } + + private static void checkCountAndSum(@Nullable Long count, @Nullable Double sum) { + Utils.checkArgument(count == null || count >= 0, "count must be non-negative."); + Utils.checkArgument(sum == null || sum >= 0, "sum must be non-negative."); + if (count != null && count == 0) { + Utils.checkArgument(sum == null || sum == 0, "sum must be 0 if count is 0."); + } + } +} diff --git a/api/src/main/java/io/opencensus/metrics/export/TimeSeries.java b/api/src/main/java/io/opencensus/metrics/export/TimeSeries.java new file mode 100644 index 00000000..959f55ba --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/TimeSeries.java @@ -0,0 +1,96 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.common.Timestamp; +import io.opencensus.internal.Utils; +import io.opencensus.metrics.LabelKey; +import io.opencensus.metrics.LabelValue; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import javax.annotation.Nullable; +import javax.annotation.concurrent.Immutable; + +/** + * A collection of data points that describes the time-varying values of a {@code Metric}. + * + * @since 0.17 + */ +@ExperimentalApi +@Immutable +@AutoValue +public abstract class TimeSeries { + + TimeSeries() {} + + /** + * Creates a {@link TimeSeries}. + * + * @param labelValues the {@code LabelValue}s that uniquely identify this {@code TimeSeries}. + * @param points the data {@code Point}s of this {@code TimeSeries}. + * @param startTimestamp the start {@code Timestamp} of this {@code TimeSeries}. Must be non-null + * for cumulative {@code Point}s. + * @return a {@code TimeSeries}. + * @since 0.17 + */ + public static TimeSeries create( + List<LabelValue> labelValues, List<Point> points, @Nullable Timestamp startTimestamp) { + // Fail fast on null lists to prevent NullPointerException when copying the lists. + Utils.checkNotNull(labelValues, "labelValues"); + Utils.checkNotNull(points, "points"); + Utils.checkListElementNotNull(labelValues, "labelValue"); + Utils.checkListElementNotNull(points, "point"); + return new AutoValue_TimeSeries( + Collections.unmodifiableList(new ArrayList<LabelValue>(labelValues)), + Collections.unmodifiableList(new ArrayList<Point>(points)), + startTimestamp); + } + + /** + * Returns the set of {@link LabelValue}s that uniquely identify this {@link TimeSeries}. + * + * <p>Apply to all {@link Point}s. + * + * <p>The order of {@link LabelValue}s must match that of {@link LabelKey}s in the {@code + * MetricDescriptor}. + * + * @return the {@code LabelValue}s. + * @since 0.17 + */ + public abstract List<LabelValue> getLabelValues(); + + /** + * Returns the data {@link Point}s of this {@link TimeSeries}. + * + * @return the data {@code Point}s. + * @since 0.17 + */ + public abstract List<Point> getPoints(); + + /** + * Returns the start {@link Timestamp} of this {@link TimeSeries} if the {@link Point}s are + * cumulative, or {@code null} if the {@link Point}s are gauge. + * + * @return the start {@code Timestamp} or {@code null}. + * @since 0.17 + */ + @Nullable + public abstract Timestamp getStartTimestamp(); +} diff --git a/api/src/main/java/io/opencensus/metrics/export/Value.java b/api/src/main/java/io/opencensus/metrics/export/Value.java new file mode 100644 index 00000000..00a939c0 --- /dev/null +++ b/api/src/main/java/io/opencensus/metrics/export/Value.java @@ -0,0 +1,246 @@ +/* + * Copyright 2018, OpenCensus Authors + * + * 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 + * + * http://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.opencensus.metrics.export; + +import com.google.auto.value.AutoValue; +import io.opencensus.common.ExperimentalApi; +import io.opencensus.common.Function; +import javax.annotation.concurrent.Immutable; + +/** + * The actual point value for a {@link Point}. + * + * <p>Currently there are three types of {@link Value}: + * + * <ul> + * <li>{@code double} + * <li>{@code long} + * <li>{@link Distribution} + * </ul> + * + * <p>Each {@link Point} contains exactly one of the three {@link Value} types. + * + * @since 0.17 + */ +@ExperimentalApi +@Immutable +public abstract class Value { + + Value() {} + + /** + * Returns a double {@link Value}. + * + * @param value value in double. + * @return a double {@code Value}. + * @since 0.17 + */ + public static Value doubleValue(double value) { + return ValueDouble.create(value); + } + + /** + * Returns a long {@link Value}. + * + * @param value value in long. + * @return a long {@code Value}. + * @since 0.17 + */ + public static Value longValue(long value) { + return ValueLong.create(value); + } + + /** + * Returns a {@link Distribution} {@link Value}. + * + * @param value value in {@link Distribution}. + * @return a {@code Distribution} {@code Value}. + * @since 0.17 + */ + public static Value distributionValue(Distribution value) { + return ValueDistribution.create(value); + } + + /** + * Returns a {@link Summary} {@link Value}. + * + * @param value value in {@link Summary}. + * @return a {@code Summary} {@code Value}. + * @since 0.17 + */ + public static Value summaryValue(Summary value) { + return ValueSummary.create(value); + } + + /** + * Applies the given match function to the underlying data type. + * + * @since 0.17 + */ + public abstract <T> T match( + Function<? super Double, T> doubleFunction, + Function<? super Long, T> longFunction, + Function<? super Distribution, T> distributionFunction, + Function<? super Summary, T> summaryFunction, + Function<? super Value, T> defaultFunction); + + /** A 64-bit double-precision floating-point {@link Value}. */ + @AutoValue + @Immutable + abstract static class ValueDouble extends Value { + + ValueDouble() {} + + @Override + public final <T> T match( + Function<? super Double, T> doubleFunction, + Function<? super Long, T> longFunction, + Function<? super Distribution, T> distributionFunction, + Function<? super Summary, T> summaryFunction, + Function<? super Value, T> defaultFunction) { + return doubleFunction.apply(getValue()); + } + + /** + * Creates a {@link ValueDouble}. + * + * @param value the value in double. + * @return a {@code ValueDouble}. + */ + static ValueDouble create(double value) { + return new AutoValue_Value_ValueDouble(value); + } + + /** + * Returns the double value. + * + * @return the double value. + */ + abstract double getValue(); + } + + /** A 64-bit integer {@link Value}. */ + @AutoValue + @Immutable + abstract static class ValueLong extends Value { + + ValueLong() {} + + @Override + public final <T> T match( + Function<? super Double, T> doubleFunction, + Function<? super Long, T> longFunction, + Function<? super Distribution, T> distributionFunction, + Function<? super Summary, T> summaryFunction, + Function<? super Value, T> defaultFunction) { + return longFunction.apply(getValue()); + } + + /** + * Creates a {@link ValueLong}. + * + * @param value the value in long. + * @return a {@code ValueLong}. + */ + static ValueLong create(long value) { + return new AutoValue_Value_ValueLong(value); + } + + /** + * Returns the long value. + * + * @return the long value. + */ + abstract long getValue(); + } + + /** + * {@link ValueDistribution} contains summary statistics for a population of values. It optionally + * contains a histogram representing the distribution of those values across a set of buckets. + */ + @AutoValue + @Immutable + abstract static class ValueDistribution extends Value { + + ValueDistribution() {} + + @Override + public final <T> T match( + Function<? super Double, T> doubleFunction, + Function<? super Long, T> longFunction, + Function<? super Distribution, T> distributionFunction, + Function<? super Summary, T> summaryFunction, + Function<? super Value, T> defaultFunction) { + return distributionFunction.apply(getValue()); + } + + /** + * Creates a {@link ValueDistribution}. + * + * @param value the {@link Distribution} value. + * @return a {@code ValueDistribution}. + */ + static ValueDistribution create(Distribution value) { + return new AutoValue_Value_ValueDistribution(value); + } + + /** + * Returns the {@link Distribution} value. + * + * @return the {@code Distribution} value. + */ + abstract Distribution getValue(); + } + + /** + * {@link ValueSummary} contains a snapshot representing values calculated over an arbitrary time + * window. + */ + @AutoValue + @Immutable + abstract static class ValueSummary extends Value { + + ValueSummary() {} + + @Override + public final <T> T match( + Function<? super Double, T> doubleFunction, + Function<? super Long, T> longFunction, + Function<? super Distribution, T> distributionFunction, + Function<? super Summary, T> summaryFunction, + Function<? super Value, T> defaultFunction) { + return summaryFunction.apply(getValue()); + } + + /** + * Creates a {@link ValueSummary}. + * + * @param value the {@link Summary} value. + * @return a {@code ValueSummary}. + */ + static ValueSummary create(Summary value) { + return new AutoValue_Value_ValueSummary(value); + } + + /** + * Returns the {@link Summary} value. + * + * @return the {@code Summary} value. + */ + abstract Summary getValue(); + } +} |