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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: opentelemetry/proto/metrics/v1/metrics.proto
package io.opentelemetry.proto.metrics.v1;
/**
*
* HistogramDataPoint is a single data point in a timeseries that describes the
* time-varying values of a Histogram. A Histogram contains summary statistics
* for a population of values, it may optionally contain the distribution of
* those values across a set of buckets.
* If the histogram contains the distribution of values, then both
* "explicit_bounds" and "bucket counts" fields must be defined.
* If the histogram does not contain the distribution of values, then both
* "explicit_bounds" and "bucket_counts" must be omitted and only "count" and
* "sum" are known.
*
*
* Protobuf type {@code opentelemetry.proto.metrics.v1.HistogramDataPoint}
*/
public final class HistogramDataPoint extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:opentelemetry.proto.metrics.v1.HistogramDataPoint)
HistogramDataPointOrBuilder {
private static final long serialVersionUID = 0L;
// Use HistogramDataPoint.newBuilder() to construct.
private HistogramDataPoint(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private HistogramDataPoint() {
attributes_ = java.util.Collections.emptyList();
bucketCounts_ = emptyLongList();
explicitBounds_ = emptyDoubleList();
exemplars_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new HistogramDataPoint();
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private HistogramDataPoint(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
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timeUnixNano_ = input.readFixed64();
break;
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case 33: {
count_ = input.readFixed64();
break;
}
case 41: {
bitField0_ |= 0x00000001;
sum_ = input.readDouble();
break;
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case 49: {
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explicitBounds_.addDouble(input.readDouble());
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if (((mutable_bitField0_ & 0x00000004) != 0)) {
bucketCounts_.makeImmutable(); // C
}
if (((mutable_bitField0_ & 0x00000008) != 0)) {
explicitBounds_.makeImmutable(); // C
}
if (((mutable_bitField0_ & 0x00000010) != 0)) {
exemplars_ = java.util.Collections.unmodifiableList(exemplars_);
}
if (((mutable_bitField0_ & 0x00000001) != 0)) {
attributes_ = java.util.Collections.unmodifiableList(attributes_);
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return io.opentelemetry.proto.metrics.v1.MetricsProto.internal_static_opentelemetry_proto_metrics_v1_HistogramDataPoint_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return io.opentelemetry.proto.metrics.v1.MetricsProto.internal_static_opentelemetry_proto_metrics_v1_HistogramDataPoint_fieldAccessorTable
.ensureFieldAccessorsInitialized(
io.opentelemetry.proto.metrics.v1.HistogramDataPoint.class, io.opentelemetry.proto.metrics.v1.HistogramDataPoint.Builder.class);
}
private int bitField0_;
public static final int ATTRIBUTES_FIELD_NUMBER = 9;
private java.util.List attributes_;
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
@java.lang.Override
public int getAttributesCount() {
return attributes_.size();
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
@java.lang.Override
public io.opentelemetry.proto.common.v1.KeyValueOrBuilder getAttributesOrBuilder(
int index) {
return attributes_.get(index);
}
public static final int START_TIME_UNIX_NANO_FIELD_NUMBER = 2;
private long startTimeUnixNano_;
/**
*
* StartTimeUnixNano is optional but strongly encouraged, see the
* the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 start_time_unix_nano = 2;
* @return The startTimeUnixNano.
*/
@java.lang.Override
public long getStartTimeUnixNano() {
return startTimeUnixNano_;
}
public static final int TIME_UNIX_NANO_FIELD_NUMBER = 3;
private long timeUnixNano_;
/**
*
* TimeUnixNano is required, see the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 time_unix_nano = 3;
* @return The timeUnixNano.
*/
@java.lang.Override
public long getTimeUnixNano() {
return timeUnixNano_;
}
public static final int COUNT_FIELD_NUMBER = 4;
private long count_;
/**
*
* count is the number of values in the population. Must be non-negative. This
* value must be equal to the sum of the "count" fields in buckets if a
* histogram is provided.
*
*
* fixed64 count = 4;
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
public static final int SUM_FIELD_NUMBER = 5;
private double sum_;
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
*
* optional double sum = 5;
* @return Whether the sum field is set.
*/
@java.lang.Override
public boolean hasSum() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
*
* optional double sum = 5;
* @return The sum.
*/
@java.lang.Override
public double getSum() {
return sum_;
}
public static final int BUCKET_COUNTS_FIELD_NUMBER = 6;
private com.google.protobuf.Internal.LongList bucketCounts_;
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @return A list containing the bucketCounts.
*/
@java.lang.Override
public java.util.List
getBucketCountsList() {
return bucketCounts_;
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @return The count of bucketCounts.
*/
public int getBucketCountsCount() {
return bucketCounts_.size();
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @param index The index of the element to return.
* @return The bucketCounts at the given index.
*/
public long getBucketCounts(int index) {
return bucketCounts_.getLong(index);
}
private int bucketCountsMemoizedSerializedSize = -1;
public static final int EXPLICIT_BOUNDS_FIELD_NUMBER = 7;
private com.google.protobuf.Internal.DoubleList explicitBounds_;
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @return A list containing the explicitBounds.
*/
@java.lang.Override
public java.util.List
getExplicitBoundsList() {
return explicitBounds_;
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @return The count of explicitBounds.
*/
public int getExplicitBoundsCount() {
return explicitBounds_.size();
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @param index The index of the element to return.
* @return The explicitBounds at the given index.
*/
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return explicitBounds_.getDouble(index);
}
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public static final int EXEMPLARS_FIELD_NUMBER = 8;
private java.util.List exemplars_;
/**
*
* (Optional) List of exemplars collected from
* measurements that were used to form the data point
*
* (Optional) List of exemplars collected from
* measurements that were used to form the data point
*
*
* repeated .opentelemetry.proto.metrics.v1.Exemplar exemplars = 8;
*/
@java.lang.Override
public io.opentelemetry.proto.metrics.v1.ExemplarOrBuilder getExemplarsOrBuilder(
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public static final int FLAGS_FIELD_NUMBER = 10;
private int flags_;
/**
*
* Flags that apply to this specific data point. See DataPointFlags
* for the available flags and their meaning.
*
*
* uint32 flags = 10;
* @return The flags.
*/
@java.lang.Override
public int getFlags() {
return flags_;
}
public static final int MIN_FIELD_NUMBER = 11;
private double min_;
/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @return Whether the min field is set.
*/
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/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @return The min.
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/**
*
* max is the maximum value over (start_time, end_time].
*
*
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* @return Whether the max field is set.
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/**
*
* max is the maximum value over (start_time, end_time].
*
*
* optional double max = 12;
* @return The max.
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io.opentelemetry.proto.metrics.v1.HistogramDataPoint other = (io.opentelemetry.proto.metrics.v1.HistogramDataPoint) obj;
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if (hasMax()) {
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if (!unknownFields.equals(other.unknownFields)) return false;
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@java.lang.Override
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public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(io.opentelemetry.proto.metrics.v1.HistogramDataPoint prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* HistogramDataPoint is a single data point in a timeseries that describes the
* time-varying values of a Histogram. A Histogram contains summary statistics
* for a population of values, it may optionally contain the distribution of
* those values across a set of buckets.
* If the histogram contains the distribution of values, then both
* "explicit_bounds" and "bucket counts" fields must be defined.
* If the histogram does not contain the distribution of values, then both
* "explicit_bounds" and "bucket_counts" must be omitted and only "count" and
* "sum" are known.
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public int getAttributesCount() {
if (attributesBuilder_ == null) {
return attributes_.size();
} else {
return attributesBuilder_.getCount();
}
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public Builder setAttributes(
int index, io.opentelemetry.proto.common.v1.KeyValue value) {
if (attributesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureAttributesIsMutable();
attributes_.set(index, value);
onChanged();
} else {
attributesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public Builder addAttributes(io.opentelemetry.proto.common.v1.KeyValue value) {
if (attributesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureAttributesIsMutable();
attributes_.add(value);
onChanged();
} else {
attributesBuilder_.addMessage(value);
}
return this;
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public Builder addAttributes(
int index, io.opentelemetry.proto.common.v1.KeyValue value) {
if (attributesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureAttributesIsMutable();
attributes_.add(index, value);
onChanged();
} else {
attributesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public io.opentelemetry.proto.common.v1.KeyValue.Builder getAttributesBuilder(
int index) {
return getAttributesFieldBuilder().getBuilder(index);
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
*
* repeated .opentelemetry.proto.common.v1.KeyValue attributes = 9;
*/
public io.opentelemetry.proto.common.v1.KeyValueOrBuilder getAttributesOrBuilder(
int index) {
if (attributesBuilder_ == null) {
return attributes_.get(index); } else {
return attributesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* The set of key/value pairs that uniquely identify the timeseries from
* where this point belongs. The list may be empty (may contain 0 elements).
* Attribute keys MUST be unique (it is not allowed to have more than one
* attribute with the same key).
*
* StartTimeUnixNano is optional but strongly encouraged, see the
* the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 start_time_unix_nano = 2;
* @return The startTimeUnixNano.
*/
@java.lang.Override
public long getStartTimeUnixNano() {
return startTimeUnixNano_;
}
/**
*
* StartTimeUnixNano is optional but strongly encouraged, see the
* the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 start_time_unix_nano = 2;
* @param value The startTimeUnixNano to set.
* @return This builder for chaining.
*/
public Builder setStartTimeUnixNano(long value) {
startTimeUnixNano_ = value;
onChanged();
return this;
}
/**
*
* StartTimeUnixNano is optional but strongly encouraged, see the
* the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 start_time_unix_nano = 2;
* @return This builder for chaining.
*/
public Builder clearStartTimeUnixNano() {
startTimeUnixNano_ = 0L;
onChanged();
return this;
}
private long timeUnixNano_ ;
/**
*
* TimeUnixNano is required, see the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 time_unix_nano = 3;
* @return The timeUnixNano.
*/
@java.lang.Override
public long getTimeUnixNano() {
return timeUnixNano_;
}
/**
*
* TimeUnixNano is required, see the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 time_unix_nano = 3;
* @param value The timeUnixNano to set.
* @return This builder for chaining.
*/
public Builder setTimeUnixNano(long value) {
timeUnixNano_ = value;
onChanged();
return this;
}
/**
*
* TimeUnixNano is required, see the detailed comments above Metric.
* Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
* 1970.
*
*
* fixed64 time_unix_nano = 3;
* @return This builder for chaining.
*/
public Builder clearTimeUnixNano() {
timeUnixNano_ = 0L;
onChanged();
return this;
}
private long count_ ;
/**
*
* count is the number of values in the population. Must be non-negative. This
* value must be equal to the sum of the "count" fields in buckets if a
* histogram is provided.
*
*
* fixed64 count = 4;
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
/**
*
* count is the number of values in the population. Must be non-negative. This
* value must be equal to the sum of the "count" fields in buckets if a
* histogram is provided.
*
*
* fixed64 count = 4;
* @param value The count to set.
* @return This builder for chaining.
*/
public Builder setCount(long value) {
count_ = value;
onChanged();
return this;
}
/**
*
* count is the number of values in the population. Must be non-negative. This
* value must be equal to the sum of the "count" fields in buckets if a
* histogram is provided.
*
*
* fixed64 count = 4;
* @return This builder for chaining.
*/
public Builder clearCount() {
count_ = 0L;
onChanged();
return this;
}
private double sum_ ;
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
*
* optional double sum = 5;
* @return Whether the sum field is set.
*/
@java.lang.Override
public boolean hasSum() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
*
* optional double sum = 5;
* @return The sum.
*/
@java.lang.Override
public double getSum() {
return sum_;
}
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
*
* optional double sum = 5;
* @param value The sum to set.
* @return This builder for chaining.
*/
public Builder setSum(double value) {
bitField0_ |= 0x00000002;
sum_ = value;
onChanged();
return this;
}
/**
*
* sum of the values in the population. If count is zero then this field
* must be zero.
* Note: Sum should only be filled out when measuring non-negative discrete
* events, and is assumed to be monotonic over the values of these events.
* Negative events *can* be recorded, but sum should not be filled out when
* doing so. This is specifically to enforce compatibility w/ OpenMetrics,
* see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @return A list containing the bucketCounts.
*/
public java.util.List
getBucketCountsList() {
return ((bitField0_ & 0x00000004) != 0) ?
java.util.Collections.unmodifiableList(bucketCounts_) : bucketCounts_;
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @return The count of bucketCounts.
*/
public int getBucketCountsCount() {
return bucketCounts_.size();
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @param index The index of the element to return.
* @return The bucketCounts at the given index.
*/
public long getBucketCounts(int index) {
return bucketCounts_.getLong(index);
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @param index The index to set the value at.
* @param value The bucketCounts to set.
* @return This builder for chaining.
*/
public Builder setBucketCounts(
int index, long value) {
ensureBucketCountsIsMutable();
bucketCounts_.setLong(index, value);
onChanged();
return this;
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @param value The bucketCounts to add.
* @return This builder for chaining.
*/
public Builder addBucketCounts(long value) {
ensureBucketCountsIsMutable();
bucketCounts_.addLong(value);
onChanged();
return this;
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
*
* repeated fixed64 bucket_counts = 6;
* @param values The bucketCounts to add.
* @return This builder for chaining.
*/
public Builder addAllBucketCounts(
java.lang.Iterable values) {
ensureBucketCountsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, bucketCounts_);
onChanged();
return this;
}
/**
*
* bucket_counts is an optional field contains the count values of histogram
* for each bucket.
* The sum of the bucket_counts must equal the value in the count field.
* The number of elements in bucket_counts array must be by one greater than
* the number of elements in explicit_bounds array.
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @return A list containing the explicitBounds.
*/
public java.util.List
getExplicitBoundsList() {
return ((bitField0_ & 0x00000008) != 0) ?
java.util.Collections.unmodifiableList(explicitBounds_) : explicitBounds_;
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @return The count of explicitBounds.
*/
public int getExplicitBoundsCount() {
return explicitBounds_.size();
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @param index The index of the element to return.
* @return The explicitBounds at the given index.
*/
public double getExplicitBounds(int index) {
return explicitBounds_.getDouble(index);
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @param index The index to set the value at.
* @param value The explicitBounds to set.
* @return This builder for chaining.
*/
public Builder setExplicitBounds(
int index, double value) {
ensureExplicitBoundsIsMutable();
explicitBounds_.setDouble(index, value);
onChanged();
return this;
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @param value The explicitBounds to add.
* @return This builder for chaining.
*/
public Builder addExplicitBounds(double value) {
ensureExplicitBoundsIsMutable();
explicitBounds_.addDouble(value);
onChanged();
return this;
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
*
* repeated double explicit_bounds = 7;
* @param values The explicitBounds to add.
* @return This builder for chaining.
*/
public Builder addAllExplicitBounds(
java.lang.Iterable values) {
ensureExplicitBoundsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, explicitBounds_);
onChanged();
return this;
}
/**
*
* explicit_bounds specifies buckets with explicitly defined bounds for values.
* The boundaries for bucket at index i are:
* (-infinity, explicit_bounds[i]] for i == 0
* (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
* (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
* The values in the explicit_bounds array must be strictly increasing.
* Histogram buckets are inclusive of their upper boundary, except the last
* bucket where the boundary is at infinity. This format is intentionally
* compatible with the OpenMetrics histogram definition.
*
* Flags that apply to this specific data point. See DataPointFlags
* for the available flags and their meaning.
*
*
* uint32 flags = 10;
* @return The flags.
*/
@java.lang.Override
public int getFlags() {
return flags_;
}
/**
*
* Flags that apply to this specific data point. See DataPointFlags
* for the available flags and their meaning.
*
*
* uint32 flags = 10;
* @param value The flags to set.
* @return This builder for chaining.
*/
public Builder setFlags(int value) {
flags_ = value;
onChanged();
return this;
}
/**
*
* Flags that apply to this specific data point. See DataPointFlags
* for the available flags and their meaning.
*
*
* uint32 flags = 10;
* @return This builder for chaining.
*/
public Builder clearFlags() {
flags_ = 0;
onChanged();
return this;
}
private double min_ ;
/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @return Whether the min field is set.
*/
@java.lang.Override
public boolean hasMin() {
return ((bitField0_ & 0x00000020) != 0);
}
/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @return The min.
*/
@java.lang.Override
public double getMin() {
return min_;
}
/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @param value The min to set.
* @return This builder for chaining.
*/
public Builder setMin(double value) {
bitField0_ |= 0x00000020;
min_ = value;
onChanged();
return this;
}
/**
*
* min is the minimum value over (start_time, end_time].
*
*
* optional double min = 11;
* @return This builder for chaining.
*/
public Builder clearMin() {
bitField0_ = (bitField0_ & ~0x00000020);
min_ = 0D;
onChanged();
return this;
}
private double max_ ;
/**
*
* max is the maximum value over (start_time, end_time].
*
*
* optional double max = 12;
* @return Whether the max field is set.
*/
@java.lang.Override
public boolean hasMax() {
return ((bitField0_ & 0x00000040) != 0);
}
/**
*
* max is the maximum value over (start_time, end_time].
*
*
* optional double max = 12;
* @return The max.
*/
@java.lang.Override
public double getMax() {
return max_;
}
/**
*
* max is the maximum value over (start_time, end_time].
*
*
* optional double max = 12;
* @param value The max to set.
* @return This builder for chaining.
*/
public Builder setMax(double value) {
bitField0_ |= 0x00000040;
max_ = value;
onChanged();
return this;
}
/**
*
* max is the maximum value over (start_time, end_time].
*
*
* optional double max = 12;
* @return This builder for chaining.
*/
public Builder clearMax() {
bitField0_ = (bitField0_ & ~0x00000040);
max_ = 0D;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:opentelemetry.proto.metrics.v1.HistogramDataPoint)
}
// @@protoc_insertion_point(class_scope:opentelemetry.proto.metrics.v1.HistogramDataPoint)
private static final io.opentelemetry.proto.metrics.v1.HistogramDataPoint DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new io.opentelemetry.proto.metrics.v1.HistogramDataPoint();
}
public static io.opentelemetry.proto.metrics.v1.HistogramDataPoint getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public HistogramDataPoint parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new HistogramDataPoint(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public io.opentelemetry.proto.metrics.v1.HistogramDataPoint getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
