Cloud Monitoring Dashboards V1 API - Class Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter (v1.1.0)

Reference documentation and code samples for the Cloud Monitoring Dashboards V1 API class Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter.

A filter that ranks streams based on their statistical relation to other streams in a request. Note: This field is deprecated and completely ignored by the API.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#num_time_series

def num_time_series() -> ::Integer

Returns

(::Integer) — How many time series to output.

#num_time_series=

def num_time_series=(value) -> ::Integer

Parameter

value (::Integer) — How many time series to output.

Returns

(::Integer) — How many time series to output.

#ranking_method

def ranking_method() -> ::Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter::Method

Returns

(::Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter::Method) — rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

#ranking_method=

def ranking_method=(value) -> ::Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter::Method

Parameter

value (::Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter::Method) — rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

Returns

(::Google::Cloud::Monitoring::Dashboard::V1::StatisticalTimeSeriesFilter::Method) — rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.