public final class Aggregation extends GeneratedMessageV3 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
Static Fields
ALIGNMENT_PERIOD_FIELD_NUMBER
public static final int ALIGNMENT_PERIOD_FIELD_NUMBER
Field Value
CROSS_SERIES_REDUCER_FIELD_NUMBER
public static final int CROSS_SERIES_REDUCER_FIELD_NUMBER
Field Value
GROUP_BY_FIELDS_FIELD_NUMBER
public static final int GROUP_BY_FIELDS_FIELD_NUMBER
Field Value
PER_SERIES_ALIGNER_FIELD_NUMBER
public static final int PER_SERIES_ALIGNER_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static Aggregation getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static Aggregation.Builder newBuilder()
Returns
newBuilder(Aggregation prototype)
public static Aggregation.Builder newBuilder(Aggregation prototype)
Parameter
Returns
public static Aggregation parseDelimitedFrom(InputStream input)
Parameter
Returns
Exceptions
public static Aggregation parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(byte[] data)
public static Aggregation parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
Returns
Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static Aggregation parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteString data)
public static Aggregation parseFrom(ByteString data)
Parameter
Returns
Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static Aggregation parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static Aggregation parseFrom(CodedInputStream input)
Parameter
Returns
Exceptions
public static Aggregation parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
public static Aggregation parseFrom(InputStream input)
Parameter
Returns
Exceptions
public static Aggregation parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(ByteBuffer data)
public static Aggregation parseFrom(ByteBuffer data)
Parameter
Returns
Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Aggregation parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parser()
public static Parser<Aggregation> parser()
Returns
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
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;
| Type | Description |
| Duration | The alignmentPeriod.
|
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;
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;
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;
| Type | Description |
| int | The enum numeric value on the wire for crossSeriesReducer.
|
getDefaultInstanceForType()
public Aggregation getDefaultInstanceForType()
Returns
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;
| 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;
| 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;
| 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;
getParserForType()
public Parser<Aggregation> getParserForType()
Returns
Overrides
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;
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;
| Type | Description |
| int | The enum numeric value on the wire for perSeriesAligner.
|
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
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;
| Type | Description |
| boolean | Whether the alignmentPeriod field is set.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public Aggregation.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected Aggregation.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Returns
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public Aggregation.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
