google-native.logging/v2.getMetric

func LookupMetric(ctx *Context, args *LookupMetricArgs, opts ...InvokeOption) (*LookupMetricResult, error)
func LookupMetricOutput(ctx *Context, args *LookupMetricOutputArgs, opts ...InvokeOption) LookupMetricResultOutput

> Note: This function is named LookupMetric in the Go SDK.

MetricId string

Project string

MetricId string

Project string

metricId String

project String

metricId string

project string

metric_id str

project str

metricId String

project String

BucketName string

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

BucketOptions Pulumi.GoogleNative.Logging.V2.Outputs.BucketOptionsResponse

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

CreateTime string

The creation timestamp of the metric.This field may not be present for older metrics.

Description string

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

Disabled bool

Optional. If set to True, then this metric is disabled and it does not generate any points.

Filter string

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

LabelExtractors Dictionary<string, string>

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

MetricDescriptor Pulumi.GoogleNative.Logging.V2.Outputs.MetricDescriptorResponse

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

Name string

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

UpdateTime string

The last update timestamp of the metric.This field may not be present for older metrics.

ValueExtractor string

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

Version string

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

BucketName string

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

BucketOptions BucketOptionsResponse

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

CreateTime string

The creation timestamp of the metric.This field may not be present for older metrics.

Description string

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

Disabled bool

Optional. If set to True, then this metric is disabled and it does not generate any points.

Filter string

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

LabelExtractors map[string]string

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

MetricDescriptor MetricDescriptorResponse

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

Name string

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

UpdateTime string

The last update timestamp of the metric.This field may not be present for older metrics.

ValueExtractor string

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

Version string

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

bucketName String

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

bucketOptions BucketOptionsResponse

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

createTime String

The creation timestamp of the metric.This field may not be present for older metrics.

description String

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

disabled Boolean

Optional. If set to True, then this metric is disabled and it does not generate any points.

filter String

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

labelExtractors Map<String,String>

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

metricDescriptor MetricDescriptorResponse

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

name String

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

updateTime String

The last update timestamp of the metric.This field may not be present for older metrics.

valueExtractor String

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

version String

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

bucketName string

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

bucketOptions BucketOptionsResponse

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

createTime string

The creation timestamp of the metric.This field may not be present for older metrics.

description string

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

disabled boolean

Optional. If set to True, then this metric is disabled and it does not generate any points.

filter string

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

labelExtractors {[key: string]: string}

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

metricDescriptor MetricDescriptorResponse

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

name string

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

updateTime string

The last update timestamp of the metric.This field may not be present for older metrics.

valueExtractor string

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

version string

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

bucket_name str

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

bucket_options BucketOptionsResponse

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

create_time str

The creation timestamp of the metric.This field may not be present for older metrics.

description str

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

disabled bool

Optional. If set to True, then this metric is disabled and it does not generate any points.

filter str

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

label_extractors Mapping[str, str]

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

metric_descriptor MetricDescriptorResponse

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

name str

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

update_time str

The last update timestamp of the metric.This field may not be present for older metrics.

value_extractor str

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

version str

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

bucketName String

Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.

bucketOptions Property Map

Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.

createTime String

The creation timestamp of the metric.This field may not be present for older metrics.

description String

Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.

disabled Boolean

Optional. If set to True, then this metric is disabled and it does not generate any points.

filter String

An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.

labelExtractors Map<String>

Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.

metricDescriptor Property Map

Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.

name String

The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".

updateTime String

The last update timestamp of the metric.This field may not be present for older metrics.

valueExtractor String

Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")

version String

Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

ExplicitBuckets Pulumi.GoogleNative.Logging.V2.Inputs.ExplicitResponse

The explicit buckets.

ExponentialBuckets Pulumi.GoogleNative.Logging.V2.Inputs.ExponentialResponse

The exponential buckets.

LinearBuckets Pulumi.GoogleNative.Logging.V2.Inputs.LinearResponse

The linear bucket.

ExplicitBuckets ExplicitResponse

The explicit buckets.

ExponentialBuckets ExponentialResponse

The exponential buckets.

LinearBuckets LinearResponse

The linear bucket.

explicitBuckets ExplicitResponse

The explicit buckets.

exponentialBuckets ExponentialResponse

The exponential buckets.

linearBuckets LinearResponse

The linear bucket.

explicitBuckets ExplicitResponse

The explicit buckets.

exponentialBuckets ExponentialResponse

The exponential buckets.

linearBuckets LinearResponse

The linear bucket.

explicit_buckets ExplicitResponse

The explicit buckets.

exponential_buckets ExponentialResponse

The exponential buckets.

linear_buckets LinearResponse

The linear bucket.

explicitBuckets Property Map

The explicit buckets.

exponentialBuckets Property Map

The exponential buckets.

linearBuckets Property Map

The linear bucket.

Bounds List<double>

The values must be monotonically increasing.

Bounds []float64

The values must be monotonically increasing.

bounds List<Double>

The values must be monotonically increasing.

bounds number[]

The values must be monotonically increasing.

bounds Sequence[float]

The values must be monotonically increasing.

bounds List<Number>

The values must be monotonically increasing.

GrowthFactor double

Must be greater than 1.

NumFiniteBuckets int

Must be greater than 0.

Scale double

Must be greater than 0.

GrowthFactor float64

Must be greater than 1.

NumFiniteBuckets int

Must be greater than 0.

Scale float64

Must be greater than 0.

growthFactor Double

Must be greater than 1.

numFiniteBuckets Integer

Must be greater than 0.

scale Double

Must be greater than 0.

growthFactor number

Must be greater than 1.

numFiniteBuckets number

Must be greater than 0.

scale number

Must be greater than 0.

growth_factor float

Must be greater than 1.

num_finite_buckets int

Must be greater than 0.

scale float

Must be greater than 0.

growthFactor Number

Must be greater than 1.

numFiniteBuckets Number

Must be greater than 0.

scale Number

Must be greater than 0.

Description string

A human-readable description for the label.

Key string

The label key.

ValueType string

The type of data that can be assigned to the label.

Description string

A human-readable description for the label.

Key string

The label key.

ValueType string

The type of data that can be assigned to the label.

description String

A human-readable description for the label.

key String

The label key.

valueType String

The type of data that can be assigned to the label.

description string

A human-readable description for the label.

key string

The label key.

valueType string

The type of data that can be assigned to the label.

description str

A human-readable description for the label.

key str

The label key.

value_type str

The type of data that can be assigned to the label.

description String

A human-readable description for the label.

key String

The label key.

valueType String

The type of data that can be assigned to the label.

NumFiniteBuckets int

Must be greater than 0.

Offset double

Lower bound of the first bucket.

Width double

Must be greater than 0.

NumFiniteBuckets int

Must be greater than 0.

Offset float64

Lower bound of the first bucket.

Width float64

Must be greater than 0.

numFiniteBuckets Integer

Must be greater than 0.

offset Double

Lower bound of the first bucket.

width Double

Must be greater than 0.

numFiniteBuckets number

Must be greater than 0.

offset number

Lower bound of the first bucket.

width number

Must be greater than 0.

num_finite_buckets int

Must be greater than 0.

offset float

Lower bound of the first bucket.

width float

Must be greater than 0.

numFiniteBuckets Number

Must be greater than 0.

offset Number

Lower bound of the first bucket.

width Number

Must be greater than 0.

IngestDelay string

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.

LaunchStage string

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

SamplePeriod string

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.

IngestDelay string

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.

LaunchStage string

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

SamplePeriod string

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.

ingestDelay String

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.

launchStage String

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

samplePeriod String

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.

ingestDelay string

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.

launchStage string

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

samplePeriod string

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.

ingest_delay str

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 str

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

sample_period str

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.

ingestDelay String

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.

launchStage String

Deprecated. Must use the MetricDescriptor.launch_stage instead.

Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

samplePeriod String

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.

Description string

A detailed description of the metric, which can be used in documentation.

DisplayName string

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

Labels List<Pulumi.GoogleNative.Logging.V2.Inputs.LabelDescriptorResponse>

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

LaunchStage string

Optional. The launch stage of the metric definition.

Metadata Pulumi.GoogleNative.Logging.V2.Inputs.MetricDescriptorMetadataResponse

Optional. Metadata which can be used to guide usage of the metric.

MetricKind string

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

MonitoredResourceTypes List<string>

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

Name string

The resource name of the metric descriptor.

Type string

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

ValueType string

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

Description string

A detailed description of the metric, which can be used in documentation.

DisplayName string

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

Labels []LabelDescriptorResponse

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

LaunchStage string

Optional. The launch stage of the metric definition.

Metadata MetricDescriptorMetadataResponse

Optional. Metadata which can be used to guide usage of the metric.

MetricKind string

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

MonitoredResourceTypes []string

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

Name string

The resource name of the metric descriptor.

Type string

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

ValueType string

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

description String

A detailed description of the metric, which can be used in documentation.

displayName String

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

labels List<LabelDescriptorResponse>

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

launchStage String

Optional. The launch stage of the metric definition.

metadata MetricDescriptorMetadataResponse

Optional. Metadata which can be used to guide usage of the metric.

metricKind String

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

monitoredResourceTypes List<String>

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

name String

The resource name of the metric descriptor.

type String

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

valueType String

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

description string

A detailed description of the metric, which can be used in documentation.

displayName string

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

labels LabelDescriptorResponse[]

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

launchStage string

Optional. The launch stage of the metric definition.

metadata MetricDescriptorMetadataResponse

Optional. Metadata which can be used to guide usage of the metric.

metricKind string

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

monitoredResourceTypes string[]

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

name string

The resource name of the metric descriptor.

type string

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

valueType string

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

description str

A detailed description of the metric, which can be used in documentation.

display_name str

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

labels Sequence[LabelDescriptorResponse]

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

launch_stage str

Optional. The launch stage of the metric definition.

metadata MetricDescriptorMetadataResponse

Optional. Metadata which can be used to guide usage of the metric.

metric_kind str

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

monitored_resource_types Sequence[str]

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

name str

The resource name of the metric descriptor.

type str

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

unit str

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

value_type str

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

description String

A detailed description of the metric, which can be used in documentation.

displayName String

A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.

labels List<Property Map>

The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.

launchStage String

Optional. The launch stage of the metric definition.

metadata Property Map

Optional. Metadata which can be used to guide usage of the metric.

metricKind String

Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.

monitoredResourceTypes List<String>

Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.

name String

The resource name of the metric descriptor.

type String

The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"

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.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").

valueType String

Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.