Class Google::Api::MetricDescriptor::MetricDescriptorMetadata (v0.6.0)

Additional annotations that can be used to guide the usage of a metric.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#ingest_delay

def ingest_delay() -> ::Google::Protobuf::Duration
Returns
  • (::Google::Protobuf::Duration) — The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.

#ingest_delay=

def ingest_delay=(value) -> ::Google::Protobuf::Duration
Parameter
  • value (::Google::Protobuf::Duration) — The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
Returns
  • (::Google::Protobuf::Duration) — The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.

#launch_stage

def launch_stage() -> ::Google::Api::LaunchStage
Returns

#launch_stage=

def launch_stage=(value) -> ::Google::Api::LaunchStage
Parameter
Returns

#sample_period

def sample_period() -> ::Google::Protobuf::Duration
Returns
  • (::Google::Protobuf::Duration) — The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.

#sample_period=

def sample_period=(value) -> ::Google::Protobuf::Duration
Parameter
  • value (::Google::Protobuf::Duration) — The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
Returns
  • (::Google::Protobuf::Duration) — The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.