Service Control API V1 API - Class Google::Cloud::ServiceControl::V1::Distribution (v1.1.0)

Reference documentation and code samples for the Service Control API V1 API class Google::Cloud::ServiceControl::V1::Distribution.

Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information:

the arithmetic mean of the samples
the minimum and maximum of the samples
the sum-squared-deviation of the samples, used to compute variance
a histogram of the values of the sample points

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#bucket_counts

def bucket_counts() -> ::Array<::Integer>

Returns

(::Array<::Integer>) — The number of samples in each histogram bucket. bucket_counts are optional. If present, they must sum to the count value.

The buckets are defined below in bucket_option. There are N buckets. bucket_counts[0] is the number of samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1] are the numbers of samples in each of the finite buckets. And bucket_counts[N] is the number of samples in the overflow bucket. See the comments ofbucket_option` below for more details.

Any suffix of trailing zeros may be omitted.

#bucket_counts=

def bucket_counts=(value) -> ::Array<::Integer>

Parameter

value (::Array<::Integer>) — The number of samples in each histogram bucket. bucket_counts are optional. If present, they must sum to the count value.

The buckets are defined below in bucket_option. There are N buckets. bucket_counts[0] is the number of samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1] are the numbers of samples in each of the finite buckets. And bucket_counts[N] is the number of samples in the overflow bucket. See the comments ofbucket_option` below for more details.

Any suffix of trailing zeros may be omitted.

Returns

(::Array<::Integer>) — The number of samples in each histogram bucket. bucket_counts are optional. If present, they must sum to the count value.

The buckets are defined below in bucket_option. There are N buckets. bucket_counts[0] is the number of samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1] are the numbers of samples in each of the finite buckets. And bucket_counts[N] is the number of samples in the overflow bucket. See the comments ofbucket_option` below for more details.

Any suffix of trailing zeros may be omitted.

#count

def count() -> ::Integer

Returns

(::Integer) — The total number of samples in the distribution. Must be >= 0.

#count=

def count=(value) -> ::Integer

Parameter

value (::Integer) — The total number of samples in the distribution. Must be >= 0.

Returns

(::Integer) — The total number of samples in the distribution. Must be >= 0.

#exemplars

def exemplars() -> ::Array<::Google::Api::Distribution::Exemplar>

Returns

(::Array<::Google::Api::Distribution::Exemplar>) — Example points. Must be in increasing order of value field.

#exemplars=

def exemplars=(value) -> ::Array<::Google::Api::Distribution::Exemplar>

Parameter

value (::Array<::Google::Api::Distribution::Exemplar>) — Example points. Must be in increasing order of value field.

Returns

(::Array<::Google::Api::Distribution::Exemplar>) — Example points. Must be in increasing order of value field.

#explicit_buckets

def explicit_buckets() -> ::Google::Cloud::ServiceControl::V1::Distribution::ExplicitBuckets

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::ExplicitBuckets) — Buckets with arbitrary user-provided width.

#explicit_buckets=

def explicit_buckets=(value) -> ::Google::Cloud::ServiceControl::V1::Distribution::ExplicitBuckets

Parameter

value (::Google::Cloud::ServiceControl::V1::Distribution::ExplicitBuckets) — Buckets with arbitrary user-provided width.

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::ExplicitBuckets) — Buckets with arbitrary user-provided width.

#exponential_buckets

def exponential_buckets() -> ::Google::Cloud::ServiceControl::V1::Distribution::ExponentialBuckets

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::ExponentialBuckets) — Buckets with exponentially growing width.

#exponential_buckets=

def exponential_buckets=(value) -> ::Google::Cloud::ServiceControl::V1::Distribution::ExponentialBuckets

Parameter

value (::Google::Cloud::ServiceControl::V1::Distribution::ExponentialBuckets) — Buckets with exponentially growing width.

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::ExponentialBuckets) — Buckets with exponentially growing width.

#linear_buckets

def linear_buckets() -> ::Google::Cloud::ServiceControl::V1::Distribution::LinearBuckets

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::LinearBuckets) — Buckets with constant width.

#linear_buckets=

def linear_buckets=(value) -> ::Google::Cloud::ServiceControl::V1::Distribution::LinearBuckets

Parameter

value (::Google::Cloud::ServiceControl::V1::Distribution::LinearBuckets) — Buckets with constant width.

Returns

(::Google::Cloud::ServiceControl::V1::Distribution::LinearBuckets) — Buckets with constant width.

#maximum

def maximum() -> ::Float

Returns

(::Float) — The maximum of the population of values. Ignored if count is zero.

#maximum=

def maximum=(value) -> ::Float

Parameter

value (::Float) — The maximum of the population of values. Ignored if count is zero.

Returns

(::Float) — The maximum of the population of values. Ignored if count is zero.

#mean

def mean() -> ::Float

Returns

(::Float) — The arithmetic mean of the samples in the distribution. If count is zero then this field must be zero.

#mean=

def mean=(value) -> ::Float

Parameter

value (::Float) — The arithmetic mean of the samples in the distribution. If count is zero then this field must be zero.

Returns

(::Float) — The arithmetic mean of the samples in the distribution. If count is zero then this field must be zero.

#minimum

def minimum() -> ::Float

Returns

(::Float) — The minimum of the population of values. Ignored if count is zero.

#minimum=

def minimum=(value) -> ::Float

Parameter

value (::Float) — The minimum of the population of values. Ignored if count is zero.

Returns

(::Float) — The minimum of the population of values. Ignored if count is zero.

#sum_of_squared_deviation

def sum_of_squared_deviation() -> ::Float

Returns

(::Float) — The sum of squared deviations from the mean: Sumi=1..count where each x_i is a sample values. If count is zero then this field must be zero, otherwise validation of the request fails.

#sum_of_squared_deviation=

def sum_of_squared_deviation=(value) -> ::Float

Parameter

value (::Float) — The sum of squared deviations from the mean: Sumi=1..count where each x_i is a sample values. If count is zero then this field must be zero, otherwise validation of the request fails.

Returns

(::Float) — The sum of squared deviations from the mean: Sumi=1..count where each x_i is a sample values. If count is zero then this field must be zero, otherwise validation of the request fails.