Class Aggregation.Builder (3.56.0) 

public static final class Aggregation.Builder extends 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.

Protobuf type google.monitoring.v3.Aggregation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > Aggregation.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllGroupByFields(Iterable<String> values)

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;

Parameter
Name Description
values Iterable<String>

The groupByFields to add.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

addGroupByFields(String value)

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;

Parameter
Name Description
value String

The groupByFields to add.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

addGroupByFieldsBytes(ByteString value)

public Aggregation.Builder addGroupByFieldsBytes(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;

Parameter
Name Description
value ByteString

The bytes of the groupByFields to add.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Aggregation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Aggregation.Builder
Overrides

build()

public Aggregation build()
Returns
Type Description
Aggregation

buildPartial()

public Aggregation buildPartial()
Returns
Type Description
Aggregation

clear()

public Aggregation.Builder clear()
Returns
Type Description
Aggregation.Builder
Overrides

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 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;

Returns
Type Description
Aggregation.Builder

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
Type Description
Aggregation.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public Aggregation.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
Aggregation.Builder
Overrides

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
Type Description
Aggregation.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public Aggregation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
Aggregation.Builder
Overrides

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
Type Description
Aggregation.Builder

This builder for chaining.

clone()

public Aggregation.Builder clone()
Returns
Type Description
Aggregation.Builder
Overrides

getAlignmentPeriod()

public Duration getAlignmentPeriod()

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Returns
Type Description
Duration

The alignmentPeriod.

getAlignmentPeriodBuilder()

public Duration.Builder getAlignmentPeriodBuilder()

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Returns
Type Description
Builder

getAlignmentPeriodOrBuilder()

public DurationOrBuilder getAlignmentPeriodOrBuilder()

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Returns
Type Description
DurationOrBuilder

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;

Returns
Type Description
Aggregation.Reducer

The crossSeriesReducer.

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;

Returns
Type Description
int

The enum numeric value on the wire for crossSeriesReducer.

getDefaultInstanceForType()

public Aggregation getDefaultInstanceForType()
Returns
Type Description
Aggregation

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getGroupByFields(int index)

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;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
String

The groupByFields at the given index.

getGroupByFieldsBytes(int index)

public 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;

Parameter
Name Description
index int

The index of the value to return.
Returns
Type Description
ByteString

The bytes of the groupByFields at the given index.

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;

Returns
Type Description
int

The count of groupByFields.

getGroupByFieldsList()

public 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;

Returns
Type Description
ProtocolStringList

A list containing the groupByFields.

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;

Returns
Type Description
Aggregation.Aligner

The perSeriesAligner.

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;

Returns
Type Description
int

The enum numeric value on the wire for perSeriesAligner.

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 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;

Returns
Type Description
boolean

Whether the alignmentPeriod field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeAlignmentPeriod(Duration value)

public Aggregation.Builder mergeAlignmentPeriod(Duration value)

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Parameter
Name Description
value Duration
Returns
Type Description
Aggregation.Builder

mergeFrom(Aggregation other)

public Aggregation.Builder mergeFrom(Aggregation other)
Parameter
Name Description
other Aggregation
Returns
Type Description
Aggregation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Aggregation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
Aggregation.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public Aggregation.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
Aggregation.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Aggregation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Aggregation.Builder
Overrides

setAlignmentPeriod(Duration value)

public Aggregation.Builder setAlignmentPeriod(Duration value)

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Parameter
Name Description
value Duration
Returns
Type Description
Aggregation.Builder

setAlignmentPeriod(Duration.Builder builderForValue)

public Aggregation.Builder setAlignmentPeriod(Duration.Builder builderForValue)

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series 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;

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Aggregation.Builder

setCrossSeriesReducer(Aggregation.Reducer value)

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;

Parameter
Name Description
value Aggregation.Reducer

The crossSeriesReducer to set.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

setCrossSeriesReducerValue(int value)

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;

Parameter
Name Description
value int

The enum numeric value on the wire for crossSeriesReducer to set.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public Aggregation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Aggregation.Builder
Overrides

setGroupByFields(int index, String value)

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
Name Description
index int

The index to set the value at.
value String

The groupByFields to set.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

setPerSeriesAligner(Aggregation.Aligner value)

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;

Parameter
Name Description
value Aggregation.Aligner

The perSeriesAligner to set.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

setPerSeriesAlignerValue(int value)

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;

Parameter
Name Description
value int

The enum numeric value on the wire for perSeriesAligner to set.
Returns
Type Description
Aggregation.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Aggregation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
Aggregation.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final Aggregation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Aggregation.Builder
Overrides