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autoscaling.v2.metricSpec

"MetricSpec specifies how to scale based on a single metric (only type and one other matching field should be set at once)."

Index

Fields

fn withType

withType(type)

"type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled"

obj containerResource

"ContainerResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. Only one \"target\" type should be set."

fn containerResource.withContainer

withContainer(container)

"container is the name of the container in the pods of the scaling target"

fn containerResource.withName

withName(name)

"name is the name of the resource in question."

obj containerResource.target

"MetricTarget defines the target value, average value, or average utilization of a specific metric"

fn containerResource.target.withAverageUtilization

withAverageUtilization(averageUtilization)

"averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type"

fn containerResource.target.withAverageValue

withAverageValue(averageValue)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

fn containerResource.target.withType

withType(type)

"type represents whether the metric type is Utilization, Value, or AverageValue"

fn containerResource.target.withValue

withValue(value)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

obj external

"ExternalMetricSource indicates how to scale on a metric not associated with any Kubernetes object (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster)."

obj external.metric

"MetricIdentifier defines the name and optionally selector for a metric"

fn external.metric.withName

withName(name)

"name is the name of the given metric"

obj external.metric.selector

"A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects."

fn external.metric.selector.withMatchExpressions

withMatchExpressions(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

fn external.metric.selector.withMatchExpressionsMixin

withMatchExpressionsMixin(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

Note: This function appends passed data to existing values

fn external.metric.selector.withMatchLabels

withMatchLabels(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

fn external.metric.selector.withMatchLabelsMixin

withMatchLabelsMixin(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

Note: This function appends passed data to existing values

obj external.target

"MetricTarget defines the target value, average value, or average utilization of a specific metric"

fn external.target.withAverageUtilization

withAverageUtilization(averageUtilization)

"averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type"

fn external.target.withAverageValue

withAverageValue(averageValue)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

fn external.target.withType

withType(type)

"type represents whether the metric type is Utilization, Value, or AverageValue"

fn external.target.withValue

withValue(value)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

obj object

"ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object)."

obj object.describedObject

"CrossVersionObjectReference contains enough information to let you identify the referred resource."

fn object.describedObject.withApiVersion

withApiVersion(apiVersion)

"API version of the referent"

fn object.describedObject.withKind

withKind(kind)

"Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds"

fn object.describedObject.withName

withName(name)

"Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names"

obj object.metric

"MetricIdentifier defines the name and optionally selector for a metric"

fn object.metric.withName

withName(name)

"name is the name of the given metric"

obj object.metric.selector

"A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects."

fn object.metric.selector.withMatchExpressions

withMatchExpressions(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

fn object.metric.selector.withMatchExpressionsMixin

withMatchExpressionsMixin(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

Note: This function appends passed data to existing values

fn object.metric.selector.withMatchLabels

withMatchLabels(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

fn object.metric.selector.withMatchLabelsMixin

withMatchLabelsMixin(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

Note: This function appends passed data to existing values

obj object.target

"MetricTarget defines the target value, average value, or average utilization of a specific metric"

fn object.target.withAverageUtilization

withAverageUtilization(averageUtilization)

"averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type"

fn object.target.withAverageValue

withAverageValue(averageValue)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

fn object.target.withType

withType(type)

"type represents whether the metric type is Utilization, Value, or AverageValue"

fn object.target.withValue

withValue(value)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

obj pods

"PodsMetricSource indicates how to scale on a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value."

obj pods.metric

"MetricIdentifier defines the name and optionally selector for a metric"

fn pods.metric.withName

withName(name)

"name is the name of the given metric"

obj pods.metric.selector

"A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects."

fn pods.metric.selector.withMatchExpressions

withMatchExpressions(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

fn pods.metric.selector.withMatchExpressionsMixin

withMatchExpressionsMixin(matchExpressions)

"matchExpressions is a list of label selector requirements. The requirements are ANDed."

Note: This function appends passed data to existing values

fn pods.metric.selector.withMatchLabels

withMatchLabels(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

fn pods.metric.selector.withMatchLabelsMixin

withMatchLabelsMixin(matchLabels)

"matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed."

Note: This function appends passed data to existing values

obj pods.target

"MetricTarget defines the target value, average value, or average utilization of a specific metric"

fn pods.target.withAverageUtilization

withAverageUtilization(averageUtilization)

"averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type"

fn pods.target.withAverageValue

withAverageValue(averageValue)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

fn pods.target.withType

withType(type)

"type represents whether the metric type is Utilization, Value, or AverageValue"

fn pods.target.withValue

withValue(value)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

obj resource

"ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. Only one \"target\" type should be set."

fn resource.withName

withName(name)

"name is the name of the resource in question."

obj resource.target

"MetricTarget defines the target value, average value, or average utilization of a specific metric"

fn resource.target.withAverageUtilization

withAverageUtilization(averageUtilization)

"averageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. Currently only valid for Resource metric source type"

fn resource.target.withAverageValue

withAverageValue(averageValue)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."

fn resource.target.withType

withType(type)

"type represents whether the metric type is Utilization, Value, or AverageValue"

fn resource.target.withValue

withValue(value)

"Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.\n\nThe serialization format is:\n\n<quantity> ::= <signedNumber><suffix>\n\n\t(Note that <suffix> may be empty, from the \"\" case in <decimalSI>.)\n\n<digit> ::= 0 | 1 | ... | 9 <digits> ::= <digit> | <digit><digits> <number> ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign> ::= \"+\" | \"-\" <signedNumber> ::= <number> | <sign><number> <suffix> ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI> ::= Ki | Mi | Gi | Ti | Pi | Ei\n\n\t(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)\n\n<decimalSI> ::= m | \"\" | k | M | G | T | P | E\n\n\t(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)\n\n<decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>\n\nNo matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.\n\nWhen a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.\n\nBefore serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:\n\n- No precision is lost - No fractional digits will be emitted - The exponent (or suffix) is as large as possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation."