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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;
/**
*
* SummaryDataPoint is a single data point in a timeseries that describes the
* time-varying values of a Summary metric.
*
*
* Protobuf type {@code opentelemetry.proto.metrics.v1.SummaryDataPoint}
*/
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// @@protoc_insertion_point(message_implements:opentelemetry.proto.metrics.v1.SummaryDataPoint)
SummaryDataPointOrBuilder {
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public interface ValueAtQuantileOrBuilder extends
// @@protoc_insertion_point(interface_extends:opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile)
com.google.protobuf.MessageOrBuilder {
/**
*
* The quantile of a distribution. Must be in the interval
* [0.0, 1.0].
*
* The value at the given quantile of a distribution.
* Quantile values must NOT be negative.
*
*
* double value = 2;
* @return The value.
*/
double getValue();
}
/**
*
* Represents the value at a given quantile of a distribution.
* To record Min and Max values following conventions are used:
* - The 1.0 quantile is equivalent to the maximum value observed.
* - The 0.0 quantile is equivalent to the minimum value observed.
* See the following issue for more context:
* https://github.com/open-telemetry/opentelemetry-proto/issues/125
*
*
* Protobuf type {@code opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile}
*/
public static final class ValueAtQuantile extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile)
ValueAtQuantileOrBuilder {
private static final long serialVersionUID = 0L;
// Use ValueAtQuantile.newBuilder() to construct.
private ValueAtQuantile(com.google.protobuf.GeneratedMessageV3.Builder builder) {
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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_SummaryDataPoint_ValueAtQuantile_descriptor;
}
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public static final int QUANTILE_FIELD_NUMBER = 1;
private double quantile_;
/**
*
* The quantile of a distribution. Must be in the interval
* [0.0, 1.0].
*
*
* double quantile = 1;
* @return The quantile.
*/
@java.lang.Override
public double getQuantile() {
return quantile_;
}
public static final int VALUE_FIELD_NUMBER = 2;
private double value_;
/**
*
* The value at the given quantile of a distribution.
* Quantile values must NOT be negative.
*
* Represents the value at a given quantile of a distribution.
* To record Min and Max values following conventions are used:
* - The 1.0 quantile is equivalent to the maximum value observed.
* - The 0.0 quantile is equivalent to the minimum value observed.
* See the following issue for more context:
* https://github.com/open-telemetry/opentelemetry-proto/issues/125
*
*
* Protobuf type {@code opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile)
io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantileOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return io.opentelemetry.proto.metrics.v1.MetricsProto.internal_static_opentelemetry_proto_metrics_v1_SummaryDataPoint_ValueAtQuantile_descriptor;
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private Builder() {
maybeForceBuilderInitialization();
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private Builder(
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quantile_ = 0D;
value_ = 0D;
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result.quantile_ = quantile_;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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private double quantile_ ;
/**
*
* The quantile of a distribution. Must be in the interval
* [0.0, 1.0].
*
* The quantile of a distribution. Must be in the interval
* [0.0, 1.0].
*
*
* double quantile = 1;
* @param value The quantile to set.
* @return This builder for chaining.
*/
public Builder setQuantile(double value) {
quantile_ = value;
onChanged();
return this;
}
/**
*
* The quantile of a distribution. Must be in the interval
* [0.0, 1.0].
*
*
* double quantile = 1;
* @return This builder for chaining.
*/
public Builder clearQuantile() {
quantile_ = 0D;
onChanged();
return this;
}
private double value_ ;
/**
*
* The value at the given quantile of a distribution.
* Quantile values must NOT be negative.
*
*
* double value = 2;
* @return The value.
*/
@java.lang.Override
public double getValue() {
return value_;
}
/**
*
* The value at the given quantile of a distribution.
* Quantile values must NOT be negative.
*
*
* double value = 2;
* @param value The value to set.
* @return This builder for chaining.
*/
public Builder setValue(double value) {
value_ = value;
onChanged();
return this;
}
/**
*
* The value at the given quantile of a distribution.
* Quantile values must NOT be negative.
*
*
* double value = 2;
* @return This builder for chaining.
*/
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value_ = 0D;
onChanged();
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// @@protoc_insertion_point(builder_scope:opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile)
}
// @@protoc_insertion_point(class_scope:opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile)
private static final io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile DEFAULT_INSTANCE;
static {
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}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile getDefaultInstance() {
return DEFAULT_INSTANCE;
}
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@java.lang.Override
public ValueAtQuantile parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new ValueAtQuantile(input, extensionRegistry);
}
};
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return PARSER;
}
@java.lang.Override
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}
@java.lang.Override
public io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int ATTRIBUTES_FIELD_NUMBER = 7;
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 = 7;
*/
@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 = 7;
*/
@java.lang.Override
public io.opentelemetry.proto.common.v1.KeyValueOrBuilder getAttributesOrBuilder(
int index) {
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}
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.
*
*
* 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#summary
*
*
* double sum = 5;
* @return The sum.
*/
@java.lang.Override
public double getSum() {
return sum_;
}
public static final int QUANTILE_VALUES_FIELD_NUMBER = 6;
private java.util.List quantileValues_;
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
@java.lang.Override
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}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
@java.lang.Override
public io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantileOrBuilder getQuantileValuesOrBuilder(
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}
public static final int FLAGS_FIELD_NUMBER = 8;
private int flags_;
/**
*
* Flags that apply to this specific data point. See DataPointFlags
* for the available flags and their meaning.
*
*
* uint32 flags = 8;
* @return The flags.
*/
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other.getSum())) return false;
if (!getQuantileValuesList()
.equals(other.getQuantileValuesList())) return false;
if (getFlags()
!= other.getFlags()) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getAttributesCount() > 0) {
hash = (37 * hash) + ATTRIBUTES_FIELD_NUMBER;
hash = (53 * hash) + getAttributesList().hashCode();
}
hash = (37 * hash) + START_TIME_UNIX_NANO_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getStartTimeUnixNano());
hash = (37 * hash) + TIME_UNIX_NANO_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getTimeUnixNano());
hash = (37 * hash) + COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getCount());
hash = (37 * hash) + SUM_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getSum()));
if (getQuantileValuesCount() > 0) {
hash = (37 * hash) + QUANTILE_VALUES_FIELD_NUMBER;
hash = (53 * hash) + getQuantileValuesList().hashCode();
}
hash = (37 * hash) + FLAGS_FIELD_NUMBER;
hash = (53 * hash) + getFlags();
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint 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.SummaryDataPoint parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint 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.SummaryDataPoint parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint 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.SummaryDataPoint parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint 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.SummaryDataPoint parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static io.opentelemetry.proto.metrics.v1.SummaryDataPoint 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.SummaryDataPoint 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.SummaryDataPoint 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.SummaryDataPoint 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;
}
/**
*
* SummaryDataPoint is a single data point in a timeseries that describes the
* time-varying values of a Summary metric.
*
* 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 = 7;
*/
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 = 7;
*/
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 = 7;
*/
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 = 7;
*/
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 = 7;
*/
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 = 7;
*/
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.
*
*
* 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.
*
*
* 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.
*
*
* 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#summary
*
*
* 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#summary
*
*
* double sum = 5;
* @param value The sum to set.
* @return This builder for chaining.
*/
public Builder setSum(double value) {
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#summary
*
*
* double sum = 5;
* @return This builder for chaining.
*/
public Builder clearSum() {
sum_ = 0D;
onChanged();
return this;
}
private java.util.List quantileValues_ =
java.util.Collections.emptyList();
private void ensureQuantileValuesIsMutable() {
if (!((bitField0_ & 0x00000002) != 0)) {
quantileValues_ = new java.util.ArrayList(quantileValues_);
bitField0_ |= 0x00000002;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile, io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile.Builder, io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantileOrBuilder> quantileValuesBuilder_;
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public int getQuantileValuesCount() {
if (quantileValuesBuilder_ == null) {
return quantileValues_.size();
} else {
return quantileValuesBuilder_.getCount();
}
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public Builder setQuantileValues(
int index, io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile value) {
if (quantileValuesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureQuantileValuesIsMutable();
quantileValues_.set(index, value);
onChanged();
} else {
quantileValuesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public Builder addQuantileValues(io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile value) {
if (quantileValuesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureQuantileValuesIsMutable();
quantileValues_.add(value);
onChanged();
} else {
quantileValuesBuilder_.addMessage(value);
}
return this;
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public Builder addQuantileValues(
int index, io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile value) {
if (quantileValuesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureQuantileValuesIsMutable();
quantileValues_.add(index, value);
onChanged();
} else {
quantileValuesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile.Builder getQuantileValuesBuilder(
int index) {
return getQuantileValuesFieldBuilder().getBuilder(index);
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
*
* repeated .opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile quantile_values = 6;
*/
public io.opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantileOrBuilder getQuantileValuesOrBuilder(
int index) {
if (quantileValuesBuilder_ == null) {
return quantileValues_.get(index); } else {
return quantileValuesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
* (Optional) list of values at different quantiles of the distribution calculated
* from the current snapshot. The quantiles must be strictly increasing.
*
