Class: Google::Cloud::AIPlatform::V1::Featurestore

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/featurestore.rb

Overview

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.

Defined Under Namespace

Modules: State Classes: LabelsEntry, OnlineServingConfig

Instance Attribute Summary collapse

Instance Attribute Details

#create_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. Timestamp when this Featurestore was created.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#encryption_spec ⇒ ::Google::Cloud::AIPlatform::V1::EncryptionSpec

Returns Optional. Customer-managed encryption key spec for data storage. If set, both of the online and offline data storage will be secured by this key.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#etag ⇒ ::String

Returns Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Returns:

  • (::String) —

    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#labels ⇒ ::Google::Protobuf::Map{::String => ::String}

Returns Optional. The labels with user-defined metadata to organize your Featurestore.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one Featurestore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

Returns:

  • (::Google::Protobuf::Map{::String => ::String}) —

    Optional. The labels with user-defined metadata to organize your Featurestore.

    Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

    See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one Featurestore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#name ⇒ ::String (readonly)

Returns Output only. Name of the Featurestore. Format: projects/{project}/locations/{location}/featurestores/{featurestore}.

Returns:

  • (::String) —

    Output only. Name of the Featurestore. Format: projects/{project}/locations/{location}/featurestores/{featurestore}



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#online_serving_config ⇒ ::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig

Returns Optional. Config for online storage resources. The field should not co-exist with the field of OnlineStoreReplicationConfig. If both of it and OnlineStoreReplicationConfig are unset, the feature store will not have an online store and cannot be used for online serving.

Returns:

  • (::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig) —

    Optional. Config for online storage resources. The field should not co-exist with the field of OnlineStoreReplicationConfig. If both of it and OnlineStoreReplicationConfig are unset, the feature store will not have an online store and cannot be used for online serving.



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#online_storage_ttl_days ⇒ ::Integer

Returns Optional. TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than online_storage_ttl_days since the feature generation time. Note that online_storage_ttl_days should be less than or equal to offline_storage_ttl_days for each EntityType under a featurestore. If not set, default to 4000 days.

Returns:

  • (::Integer) —

    Optional. TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than online_storage_ttl_days since the feature generation time. Note that online_storage_ttl_days should be less than or equal to offline_storage_ttl_days for each EntityType under a featurestore. If not set, default to 4000 days



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#satisfies_pzi ⇒ ::Boolean (readonly)

Returns Output only. Reserved for future use.

Returns:

  • (::Boolean) —

    Output only. Reserved for future use.



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#satisfies_pzs ⇒ ::Boolean (readonly)

Returns Output only. Reserved for future use.

Returns:

  • (::Boolean) —

    Output only. Reserved for future use.



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#state ⇒ ::Google::Cloud::AIPlatform::V1::Featurestore::State (readonly)

Returns Output only. State of the featurestore.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end

#update_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. Timestamp when this Featurestore was last updated.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/featurestore.rb', line 82

class Featurestore
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # OnlineServingConfig specifies the details for provisioning online serving
  # resources.
  # @!attribute [rw] fixed_node_count
  #   @return [::Integer]
  #     The number of nodes for the online store. The number of nodes doesn't
  #     scale automatically, but you can manually update the number of
  #     nodes. If set to 0, the featurestore will not have an
  #     online store and cannot be used for online serving.
  # @!attribute [rw] scaling
  #   @return [::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig::Scaling]
  #     Online serving scaling configuration.
  #     Only one of `fixed_node_count` and `scaling` can be set. Setting one will
  #     reset the other.
  class OnlineServingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # Online serving scaling configuration. If min_node_count and
    # max_node_count are set to the same value, the cluster will be configured
    # with the fixed number of node (no auto-scaling).
    # @!attribute [rw] min_node_count
    #   @return [::Integer]
    #     Required. The minimum number of nodes to scale down to. Must be greater
    #     than or equal to 1.
    # @!attribute [rw] max_node_count
    #   @return [::Integer]
    #     The maximum number of nodes to scale up to. Must be greater than
    #     min_node_count, and less than or equal to 10 times of 'min_node_count'.
    # @!attribute [rw] cpu_utilization_target
    #   @return [::Integer]
    #     Optional. The cpu utilization that the Autoscaler should be trying to
    #     achieve. This number is on a scale from 0 (no utilization) to 100
    #     (total utilization), and is limited between 10 and 80. When a cluster's
    #     CPU utilization exceeds the target that you have set, Bigtable
    #     immediately adds nodes to the cluster. When CPU utilization is
    #     substantially lower than the target, Bigtable removes nodes. If not set
    #     or set to 0, default to 50.
    class Scaling
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Possible states a featurestore can have.
  module State
    # Default value. This value is unused.
    STATE_UNSPECIFIED = 0

    # State when the featurestore configuration is not being updated and the
    # fields reflect the current configuration of the featurestore. The
    # featurestore is usable in this state.
    STABLE = 1

    # The state of the featurestore configuration when it is being updated.
    # During an update, the fields reflect either the original configuration
    # or the updated configuration of the featurestore. For example,
    # `online_serving_config.fixed_node_count` can take minutes to update.
    # While the update is in progress, the featurestore is in the UPDATING
    # state, and the value of `fixed_node_count` can be the original value or
    # the updated value, depending on the progress of the operation. Until the
    # update completes, the actual number of nodes can still be the original
    # value of `fixed_node_count`. The featurestore is still usable in this
    # state.
    UPDATING = 2
  end
end