Struct google_api_proto::google::monitoring::v3::TimeSeries
source · pub struct TimeSeries {
pub metric: Option<Metric>,
pub resource: Option<MonitoredResource>,
pub metadata: Option<MonitoredResourceMetadata>,
pub metric_kind: i32,
pub value_type: i32,
pub points: Vec<Point>,
pub unit: String,
}
Expand description
A collection of data points that describes the time-varying values of a metric. A time series is identified by a combination of a fully-specified monitored resource and a fully-specified metric. This type is used for both listing and creating time series.
Fields§
§metric: Option<Metric>
The associated metric. A fully-specified metric used to identify the time series.
resource: Option<MonitoredResource>
The associated monitored resource. Custom metrics can use only certain monitored resource types in their time series data. For more information, see Monitored resources for custom metrics.
metadata: Option<MonitoredResourceMetadata>
Output only. The associated monitored resource metadata. When reading a time series, this field will include metadata labels that are explicitly named in the reduction. When creating a time series, this field is ignored.
metric_kind: i32
The metric kind of the time series. When listing time series, this metric kind might be different from the metric kind of the associated metric if this time series is an alignment or reduction of other time series.
When creating a time series, this field is optional. If present, it must be
the same as the metric kind of the associated metric. If the associated
metric’s descriptor must be auto-created, then this field specifies the
metric kind of the new descriptor and must be either GAUGE
(the default)
or CUMULATIVE
.
value_type: i32
The value type of the time series. When listing time series, this value type might be different from the value type of the associated metric if this time series is an alignment or reduction of other time series.
When creating a time series, this field is optional. If present, it must be
the same as the type of the data in the points
field.
points: Vec<Point>
The data points of this time series. When listing time series, points are returned in reverse time order.
When creating a time series, this field must contain exactly one point and
the point’s type must be the same as the value type of the associated
metric. If the associated metric’s descriptor must be auto-created, then
the value type of the descriptor is determined by the point’s type, which
must be BOOL
, INT64
, DOUBLE
, or DISTRIBUTION
.
unit: String
The units in which the metric value is reported. It is only applicable
if the value_type
is INT64
, DOUBLE
, or DISTRIBUTION
. The unit
defines the representation of the stored metric values.
Implementations§
source§impl TimeSeries
impl TimeSeries
sourcepub fn metric_kind(&self) -> MetricKind
pub fn metric_kind(&self) -> MetricKind
Returns the enum value of metric_kind
, or the default if the field is set to an invalid enum value.
sourcepub fn set_metric_kind(&mut self, value: MetricKind)
pub fn set_metric_kind(&mut self, value: MetricKind)
Sets metric_kind
to the provided enum value.
sourcepub fn value_type(&self) -> ValueType
pub fn value_type(&self) -> ValueType
Returns the enum value of value_type
, or the default if the field is set to an invalid enum value.
sourcepub fn set_value_type(&mut self, value: ValueType)
pub fn set_value_type(&mut self, value: ValueType)
Sets value_type
to the provided enum value.
Trait Implementations§
source§impl Clone for TimeSeries
impl Clone for TimeSeries
source§fn clone(&self) -> TimeSeries
fn clone(&self) -> TimeSeries
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for TimeSeries
impl Debug for TimeSeries
source§impl Default for TimeSeries
impl Default for TimeSeries
source§impl Message for TimeSeries
impl Message for TimeSeries
source§fn encoded_len(&self) -> usize
fn encoded_len(&self) -> usize
source§fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
. Read moresource§fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
.source§impl PartialEq for TimeSeries
impl PartialEq for TimeSeries
source§fn eq(&self, other: &TimeSeries) -> bool
fn eq(&self, other: &TimeSeries) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for TimeSeries
Auto Trait Implementations§
impl Freeze for TimeSeries
impl RefUnwindSafe for TimeSeries
impl Send for TimeSeries
impl Sync for TimeSeries
impl Unpin for TimeSeries
impl UnwindSafe for TimeSeries
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
T
in a tonic::Request