Reference documentation and code samples for the Dataflow V1beta3 API class Google::Cloud::Dataflow::V1beta3::MetricUpdate.
Describes the state of a metric.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#cumulative
def cumulative() -> ::Boolean
- (::Boolean) — True if this metric is reported as the total cumulative aggregate value accumulated since the worker started working on this WorkItem. By default this is false, indicating that this metric is reported as a delta that is not associated with any WorkItem.
#cumulative=
def cumulative=(value) -> ::Boolean
- value (::Boolean) — True if this metric is reported as the total cumulative aggregate value accumulated since the worker started working on this WorkItem. By default this is false, indicating that this metric is reported as a delta that is not associated with any WorkItem.
- (::Boolean) — True if this metric is reported as the total cumulative aggregate value accumulated since the worker started working on this WorkItem. By default this is false, indicating that this metric is reported as a delta that is not associated with any WorkItem.
#distribution
def distribution() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — A struct value describing properties of a distribution of numeric values.
#distribution=
def distribution=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — A struct value describing properties of a distribution of numeric values.
- (::Google::Protobuf::Value) — A struct value describing properties of a distribution of numeric values.
#gauge
def gauge() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — A struct value describing properties of a Gauge. Metrics of gauge type show the value of a metric across time, and is aggregated based on the newest value.
#gauge=
def gauge=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — A struct value describing properties of a Gauge. Metrics of gauge type show the value of a metric across time, and is aggregated based on the newest value.
- (::Google::Protobuf::Value) — A struct value describing properties of a Gauge. Metrics of gauge type show the value of a metric across time, and is aggregated based on the newest value.
#internal
def internal() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — Worker-computed aggregate value for internal use by the Dataflow service.
#internal=
def internal=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — Worker-computed aggregate value for internal use by the Dataflow service.
- (::Google::Protobuf::Value) — Worker-computed aggregate value for internal use by the Dataflow service.
#kind
def kind() -> ::String
-
(::String) — Metric aggregation kind. The possible metric aggregation kinds are
"Sum", "Max", "Min", "Mean", "Set", "And", "Or", and "Distribution".
The specified aggregation kind is case-insensitive.
If omitted, this is not an aggregated value but instead a single metric sample value.
#kind=
def kind=(value) -> ::String
-
value (::String) — Metric aggregation kind. The possible metric aggregation kinds are
"Sum", "Max", "Min", "Mean", "Set", "And", "Or", and "Distribution".
The specified aggregation kind is case-insensitive.
If omitted, this is not an aggregated value but instead a single metric sample value.
-
(::String) — Metric aggregation kind. The possible metric aggregation kinds are
"Sum", "Max", "Min", "Mean", "Set", "And", "Or", and "Distribution".
The specified aggregation kind is case-insensitive.
If omitted, this is not an aggregated value but instead a single metric sample value.
#mean_count
def mean_count() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the count of the aggregated values and is used in combination with mean_sum above to obtain the actual mean aggregate value. The only possible value type is Long.
#mean_count=
def mean_count=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the count of the aggregated values and is used in combination with mean_sum above to obtain the actual mean aggregate value. The only possible value type is Long.
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the count of the aggregated values and is used in combination with mean_sum above to obtain the actual mean aggregate value. The only possible value type is Long.
#mean_sum
def mean_sum() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the sum of the aggregated values and is used in combination with mean_count below to obtain the actual mean aggregate value. The only possible value types are Long and Double.
#mean_sum=
def mean_sum=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the sum of the aggregated values and is used in combination with mean_count below to obtain the actual mean aggregate value. The only possible value types are Long and Double.
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Mean" aggregation kind. This holds the sum of the aggregated values and is used in combination with mean_count below to obtain the actual mean aggregate value. The only possible value types are Long and Double.
#name
def name() -> ::Google::Cloud::Dataflow::V1beta3::MetricStructuredName
- (::Google::Cloud::Dataflow::V1beta3::MetricStructuredName) — Name of the metric.
#name=
def name=(value) -> ::Google::Cloud::Dataflow::V1beta3::MetricStructuredName
- value (::Google::Cloud::Dataflow::V1beta3::MetricStructuredName) — Name of the metric.
- (::Google::Cloud::Dataflow::V1beta3::MetricStructuredName) — Name of the metric.
#scalar
def scalar() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — Worker-computed aggregate value for aggregation kinds "Sum", "Max", "Min", "And", and "Or". The possible value types are Long, Double, and Boolean.
#scalar=
def scalar=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — Worker-computed aggregate value for aggregation kinds "Sum", "Max", "Min", "And", and "Or". The possible value types are Long, Double, and Boolean.
- (::Google::Protobuf::Value) — Worker-computed aggregate value for aggregation kinds "Sum", "Max", "Min", "And", and "Or". The possible value types are Long, Double, and Boolean.
#set
def set() -> ::Google::Protobuf::Value
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Set" aggregation kind. The only possible value type is a list of Values whose type can be Long, Double, or String, according to the metric's type. All Values in the list must be of the same type.
#set=
def set=(value) -> ::Google::Protobuf::Value
- value (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Set" aggregation kind. The only possible value type is a list of Values whose type can be Long, Double, or String, according to the metric's type. All Values in the list must be of the same type.
- (::Google::Protobuf::Value) — Worker-computed aggregate value for the "Set" aggregation kind. The only possible value type is a list of Values whose type can be Long, Double, or String, according to the metric's type. All Values in the list must be of the same type.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Timestamp associated with the metric value. Optional when workers are reporting work progress; it will be filled in responses from the metrics API.
#update_time=
def update_time=(value) -> ::Google::Protobuf::Timestamp
- value (::Google::Protobuf::Timestamp) — Timestamp associated with the metric value. Optional when workers are reporting work progress; it will be filled in responses from the metrics API.
- (::Google::Protobuf::Timestamp) — Timestamp associated with the metric value. Optional when workers are reporting work progress; it will be filled in responses from the metrics API.