Package com.google.monitoring.v3
Class Aggregation.Builder
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite.Builder
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- com.google.protobuf.AbstractMessage.Builder<BuilderT>
-
- com.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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- com.google.monitoring.v3.Aggregation.Builder
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- All Implemented Interfaces:
AggregationOrBuilder
,com.google.protobuf.Message.Builder
,com.google.protobuf.MessageLite.Builder
,com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
,Cloneable
- Enclosing class:
- Aggregation
public static final class Aggregation.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder> implements AggregationOrBuilder
Describes how to combine multiple time series to provide a different view of the data. Aggregation of time series is done in two steps. First, each time series in the set is _aligned_ to the same time interval boundaries, then the set of time series is optionally _reduced_ in number. Alignment consists of applying the `per_series_aligner` operation to each time series after its data has been divided into regular `alignment_period` time intervals. This process takes _all_ of the data points in an alignment period, applies a mathematical transformation such as averaging, minimum, maximum, delta, etc., and converts them into a single data point per period. Reduction is when the aligned and transformed time series can optionally be combined, reducing the number of time series through similar mathematical transformations. Reduction involves applying a `cross_series_reducer` to all the time series, optionally sorting the time series into subsets with `group_by_fields`, and applying the reducer to each subset. The raw time series data can contain a huge amount of information from multiple sources. Alignment and reduction transforms this mass of data into a more manageable and representative collection of data, for example "the 95% latency across the average of all tasks in a cluster". This representative data can be more easily graphed and comprehended, and the individual time series data is still available for later drilldown. For more details, see [Filtering and aggregation](https://cloud.google.com/monitoring/api/v3/aggregation).
Protobuf typegoogle.monitoring.v3.Aggregation
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description Aggregation.Builder
addAllGroupByFields(Iterable<String> values)
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Builder
addGroupByFields(String value)
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Builder
addGroupByFieldsBytes(com.google.protobuf.ByteString value)
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Aggregation
build()
Aggregation
buildPartial()
Aggregation.Builder
clear()
Aggregation.Builder
clearAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.Aggregation.Builder
clearCrossSeriesReducer()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Aggregation.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
Aggregation.Builder
clearGroupByFields()
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
Aggregation.Builder
clearPerSeriesAligner()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment.Aggregation.Builder
clone()
com.google.protobuf.Duration
getAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.com.google.protobuf.Duration.Builder
getAlignmentPeriodBuilder()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.com.google.protobuf.DurationOrBuilder
getAlignmentPeriodOrBuilder()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.Aggregation.Reducer
getCrossSeriesReducer()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.int
getCrossSeriesReducerValue()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Aggregation
getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
String
getGroupByFields(int index)
The set of fields to preserve when `cross_series_reducer` is specified.com.google.protobuf.ByteString
getGroupByFieldsBytes(int index)
The set of fields to preserve when `cross_series_reducer` is specified.int
getGroupByFieldsCount()
The set of fields to preserve when `cross_series_reducer` is specified.com.google.protobuf.ProtocolStringList
getGroupByFieldsList()
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Aligner
getPerSeriesAligner()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment.int
getPerSeriesAlignerValue()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment.boolean
hasAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
Aggregation.Builder
mergeAlignmentPeriod(com.google.protobuf.Duration value)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.Aggregation.Builder
mergeFrom(Aggregation other)
Aggregation.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Aggregation.Builder
mergeFrom(com.google.protobuf.Message other)
Aggregation.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Aggregation.Builder
setAlignmentPeriod(com.google.protobuf.Duration value)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.Aggregation.Builder
setAlignmentPeriod(com.google.protobuf.Duration.Builder builderForValue)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time.Aggregation.Builder
setCrossSeriesReducer(Aggregation.Reducer value)
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Aggregation.Builder
setCrossSeriesReducerValue(int value)
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Aggregation.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Aggregation.Builder
setGroupByFields(int index, String value)
The set of fields to preserve when `cross_series_reducer` is specified.Aggregation.Builder
setPerSeriesAligner(Aggregation.Aligner value)
An `Aligner` describes how to bring the data points in a single time series into temporal alignment.Aggregation.Builder
setPerSeriesAlignerValue(int value)
An `Aligner` describes how to bring the data points in a single time series into temporal alignment.Aggregation.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
Aggregation.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3
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Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Method Detail
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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clear
public Aggregation.Builder clear()
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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getDefaultInstanceForType
public Aggregation getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
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build
public Aggregation build()
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
public Aggregation buildPartial()
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
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clone
public Aggregation.Builder clone()
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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setField
public Aggregation.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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clearField
public Aggregation.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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clearOneof
public Aggregation.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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setRepeatedField
public Aggregation.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
- Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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addRepeatedField
public Aggregation.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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mergeFrom
public Aggregation.Builder mergeFrom(com.google.protobuf.Message other)
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Aggregation.Builder>
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mergeFrom
public Aggregation.Builder mergeFrom(Aggregation other)
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
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mergeFrom
public Aggregation.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Aggregation.Builder>
- Throws:
IOException
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hasAlignmentPeriod
public boolean hasAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
- Specified by:
hasAlignmentPeriod
in interfaceAggregationOrBuilder
- Returns:
- Whether the alignmentPeriod field is set.
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getAlignmentPeriod
public com.google.protobuf.Duration getAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
- Specified by:
getAlignmentPeriod
in interfaceAggregationOrBuilder
- Returns:
- The alignmentPeriod.
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setAlignmentPeriod
public Aggregation.Builder setAlignmentPeriod(com.google.protobuf.Duration value)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
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setAlignmentPeriod
public Aggregation.Builder setAlignmentPeriod(com.google.protobuf.Duration.Builder builderForValue)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
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mergeAlignmentPeriod
public Aggregation.Builder mergeAlignmentPeriod(com.google.protobuf.Duration value)
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
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clearAlignmentPeriod
public Aggregation.Builder clearAlignmentPeriod()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
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getAlignmentPeriodBuilder
public com.google.protobuf.Duration.Builder getAlignmentPeriodBuilder()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
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getAlignmentPeriodOrBuilder
public com.google.protobuf.DurationOrBuilder getAlignmentPeriodOrBuilder()
The `alignment_period` specifies a time interval, in seconds, that is used to divide the data in all the [time series][google.monitoring.v3.TimeSeries] into consistent blocks of time. This will be done before the per-series aligner can be applied to the data. The value must be at least 60 seconds. If a per-series aligner other than `ALIGN_NONE` is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner `ALIGN_NONE` is specified, then this field is ignored. The maximum value of the `alignment_period` is 104 weeks (2 years) for charts, and 90,000 seconds (25 hours) for alerting policies.
.google.protobuf.Duration alignment_period = 1;
- Specified by:
getAlignmentPeriodOrBuilder
in interfaceAggregationOrBuilder
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getPerSeriesAlignerValue
public int getPerSeriesAlignerValue()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment. Except for `ALIGN_NONE`, all alignments cause all the data points in an `alignment_period` to be mathematically grouped together, resulting in a single data point for each `alignment_period` with end timestamp at the end of the period. Not all alignment operations may be applied to all time series. The valid choices depend on the `metric_kind` and `value_type` of the original time series. Alignment can change the `metric_kind` or the `value_type` of the time series. Time series data must be aligned in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified and not equal to `ALIGN_NONE` and `alignment_period` must be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Aligner per_series_aligner = 2;
- Specified by:
getPerSeriesAlignerValue
in interfaceAggregationOrBuilder
- Returns:
- The enum numeric value on the wire for perSeriesAligner.
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setPerSeriesAlignerValue
public Aggregation.Builder setPerSeriesAlignerValue(int value)
An `Aligner` describes how to bring the data points in a single time series into temporal alignment. Except for `ALIGN_NONE`, all alignments cause all the data points in an `alignment_period` to be mathematically grouped together, resulting in a single data point for each `alignment_period` with end timestamp at the end of the period. Not all alignment operations may be applied to all time series. The valid choices depend on the `metric_kind` and `value_type` of the original time series. Alignment can change the `metric_kind` or the `value_type` of the time series. Time series data must be aligned in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified and not equal to `ALIGN_NONE` and `alignment_period` must be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Aligner per_series_aligner = 2;
- Parameters:
value
- The enum numeric value on the wire for perSeriesAligner to set.- Returns:
- This builder for chaining.
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getPerSeriesAligner
public Aggregation.Aligner getPerSeriesAligner()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment. Except for `ALIGN_NONE`, all alignments cause all the data points in an `alignment_period` to be mathematically grouped together, resulting in a single data point for each `alignment_period` with end timestamp at the end of the period. Not all alignment operations may be applied to all time series. The valid choices depend on the `metric_kind` and `value_type` of the original time series. Alignment can change the `metric_kind` or the `value_type` of the time series. Time series data must be aligned in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified and not equal to `ALIGN_NONE` and `alignment_period` must be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Aligner per_series_aligner = 2;
- Specified by:
getPerSeriesAligner
in interfaceAggregationOrBuilder
- Returns:
- The perSeriesAligner.
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setPerSeriesAligner
public Aggregation.Builder setPerSeriesAligner(Aggregation.Aligner value)
An `Aligner` describes how to bring the data points in a single time series into temporal alignment. Except for `ALIGN_NONE`, all alignments cause all the data points in an `alignment_period` to be mathematically grouped together, resulting in a single data point for each `alignment_period` with end timestamp at the end of the period. Not all alignment operations may be applied to all time series. The valid choices depend on the `metric_kind` and `value_type` of the original time series. Alignment can change the `metric_kind` or the `value_type` of the time series. Time series data must be aligned in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified and not equal to `ALIGN_NONE` and `alignment_period` must be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Aligner per_series_aligner = 2;
- Parameters:
value
- The perSeriesAligner to set.- Returns:
- This builder for chaining.
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clearPerSeriesAligner
public Aggregation.Builder clearPerSeriesAligner()
An `Aligner` describes how to bring the data points in a single time series into temporal alignment. Except for `ALIGN_NONE`, all alignments cause all the data points in an `alignment_period` to be mathematically grouped together, resulting in a single data point for each `alignment_period` with end timestamp at the end of the period. Not all alignment operations may be applied to all time series. The valid choices depend on the `metric_kind` and `value_type` of the original time series. Alignment can change the `metric_kind` or the `value_type` of the time series. Time series data must be aligned in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified and not equal to `ALIGN_NONE` and `alignment_period` must be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Aligner per_series_aligner = 2;
- Returns:
- This builder for chaining.
-
getCrossSeriesReducerValue
public int getCrossSeriesReducerValue()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series. Not all reducer operations can be applied to all time series. The valid choices depend on the `metric_kind` and the `value_type` of the original time series. Reduction can yield a time series with a different `metric_kind` or `value_type` than the input time series. Time series data must first be aligned (see `per_series_aligner`) in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified, and must not be `ALIGN_NONE`. An `alignment_period` must also be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Reducer cross_series_reducer = 4;
- Specified by:
getCrossSeriesReducerValue
in interfaceAggregationOrBuilder
- Returns:
- The enum numeric value on the wire for crossSeriesReducer.
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setCrossSeriesReducerValue
public Aggregation.Builder setCrossSeriesReducerValue(int value)
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series. Not all reducer operations can be applied to all time series. The valid choices depend on the `metric_kind` and the `value_type` of the original time series. Reduction can yield a time series with a different `metric_kind` or `value_type` than the input time series. Time series data must first be aligned (see `per_series_aligner`) in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified, and must not be `ALIGN_NONE`. An `alignment_period` must also be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Reducer cross_series_reducer = 4;
- Parameters:
value
- The enum numeric value on the wire for crossSeriesReducer to set.- Returns:
- This builder for chaining.
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getCrossSeriesReducer
public Aggregation.Reducer getCrossSeriesReducer()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series. Not all reducer operations can be applied to all time series. The valid choices depend on the `metric_kind` and the `value_type` of the original time series. Reduction can yield a time series with a different `metric_kind` or `value_type` than the input time series. Time series data must first be aligned (see `per_series_aligner`) in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified, and must not be `ALIGN_NONE`. An `alignment_period` must also be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Reducer cross_series_reducer = 4;
- Specified by:
getCrossSeriesReducer
in interfaceAggregationOrBuilder
- Returns:
- The crossSeriesReducer.
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setCrossSeriesReducer
public Aggregation.Builder setCrossSeriesReducer(Aggregation.Reducer value)
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series. Not all reducer operations can be applied to all time series. The valid choices depend on the `metric_kind` and the `value_type` of the original time series. Reduction can yield a time series with a different `metric_kind` or `value_type` than the input time series. Time series data must first be aligned (see `per_series_aligner`) in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified, and must not be `ALIGN_NONE`. An `alignment_period` must also be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Reducer cross_series_reducer = 4;
- Parameters:
value
- The crossSeriesReducer to set.- Returns:
- This builder for chaining.
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clearCrossSeriesReducer
public Aggregation.Builder clearCrossSeriesReducer()
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series. Not all reducer operations can be applied to all time series. The valid choices depend on the `metric_kind` and the `value_type` of the original time series. Reduction can yield a time series with a different `metric_kind` or `value_type` than the input time series. Time series data must first be aligned (see `per_series_aligner`) in order to perform cross-time series reduction. If `cross_series_reducer` is specified, then `per_series_aligner` must be specified, and must not be `ALIGN_NONE`. An `alignment_period` must also be specified; otherwise, an error is returned.
.google.monitoring.v3.Aggregation.Reducer cross_series_reducer = 4;
- Returns:
- This builder for chaining.
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getGroupByFieldsList
public com.google.protobuf.ProtocolStringList getGroupByFieldsList()
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Specified by:
getGroupByFieldsList
in interfaceAggregationOrBuilder
- Returns:
- A list containing the groupByFields.
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getGroupByFieldsCount
public int getGroupByFieldsCount()
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Specified by:
getGroupByFieldsCount
in interfaceAggregationOrBuilder
- Returns:
- The count of groupByFields.
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getGroupByFields
public String getGroupByFields(int index)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Specified by:
getGroupByFields
in interfaceAggregationOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The groupByFields at the given index.
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getGroupByFieldsBytes
public com.google.protobuf.ByteString getGroupByFieldsBytes(int index)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Specified by:
getGroupByFieldsBytes
in interfaceAggregationOrBuilder
- Parameters:
index
- The index of the value to return.- Returns:
- The bytes of the groupByFields at the given index.
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setGroupByFields
public Aggregation.Builder setGroupByFields(int index, String value)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Parameters:
index
- The index to set the value at.value
- The groupByFields to set.- Returns:
- This builder for chaining.
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addGroupByFields
public Aggregation.Builder addGroupByFields(String value)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Parameters:
value
- The groupByFields to add.- Returns:
- This builder for chaining.
-
addAllGroupByFields
public Aggregation.Builder addAllGroupByFields(Iterable<String> values)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Parameters:
values
- The groupByFields to add.- Returns:
- This builder for chaining.
-
clearGroupByFields
public Aggregation.Builder clearGroupByFields()
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Returns:
- This builder for chaining.
-
addGroupByFieldsBytes
public Aggregation.Builder addGroupByFieldsBytes(com.google.protobuf.ByteString value)
The set of fields to preserve when `cross_series_reducer` is specified. The `group_by_fields` determine how the time series are partitioned into subsets prior to applying the aggregation operation. Each subset contains time series that have the same value for each of the grouping fields. Each individual time series is a member of exactly one subset. The `cross_series_reducer` is applied to each subset of time series. It is not possible to reduce across different resource types, so this field implicitly contains `resource.type`. Fields not specified in `group_by_fields` are aggregated away. If `group_by_fields` is not specified and all the time series have the same resource type, then the time series are aggregated into a single output time series. If `cross_series_reducer` is not defined, this field is ignored.
repeated string group_by_fields = 5;
- Parameters:
value
- The bytes of the groupByFields to add.- Returns:
- This builder for chaining.
-
setUnknownFields
public final Aggregation.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
setUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
-
mergeUnknownFields
public final Aggregation.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Aggregation.Builder>
-
-