public sealed class Featurestore : IMessage<Featurestore>, IEquatable<Featurestore>, IDeepCloneable<Featurestore>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1beta1 API class Featurestore.
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.
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.
public Featurestore.Types.OnlineServingConfig OnlineServingConfig { get; set; }
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.
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
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["\u003cp\u003eThe \u003ccode\u003eFeaturestore\u003c/code\u003e class in the Vertex AI v1beta1 API serves as a centralized repository for managing ML features, acting as the top-level container for features and their values.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eFeaturestore\u003c/code\u003e instances can be customized with labels for organization and optionally secured with customer-managed encryption keys for both online and offline data storage.\u003c/p\u003e\n"],["\u003cp\u003eThe class provides configurations for online serving storage, including TTL settings to manage the lifespan of feature values stored online.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eFeaturestore\u003c/code\u003e instances are identifiable by their unique name, formatted as \u003ccode\u003eprojects/{project}/locations/{location}/featurestores/{featurestore}\u003c/code\u003e, and they track their creation and update timestamps.\u003c/p\u003e\n"],["\u003cp\u003eIt also allows consistent read-modify-write updates and integrates with other classes such as \u003ccode\u003eFeaturestoreName\u003c/code\u003e, \u003ccode\u003eEncryptionSpec\u003c/code\u003e, and \u003ccode\u003eTimestamp\u003c/code\u003e within the same API.\u003c/p\u003e\n"]]],[],null,["# Vertex AI v1beta1 API - Class Featurestore (1.0.0-beta47)\n\nVersion latestkeyboard_arrow_down\n\n- [1.0.0-beta47 (latest)](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.Featurestore)\n- [1.0.0-beta46](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/1.0.0-beta46/Google.Cloud.AIPlatform.V1Beta1.Featurestore) \n\n public sealed class Featurestore : IMessage\u003cFeaturestore\u003e, IEquatable\u003cFeaturestore\u003e, IDeepCloneable\u003cFeaturestore\u003e, IBufferMessage, IMessage\n\nReference documentation and code samples for the Vertex AI v1beta1 API class Featurestore.\n\nVertex AI Feature Store provides a centralized repository for organizing,\nstoring, and serving ML features. The Featurestore is a top-level container\nfor your features and their values. \n\nInheritance\n-----------\n\n[object](https://learn.microsoft.com/dotnet/api/system.object) \\\u003e Featurestore \n\nImplements\n----------\n\n[IMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IMessage-1.html)[Featurestore](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.Featurestore), [IEquatable](https://learn.microsoft.com/dotnet/api/system.iequatable-1)[Featurestore](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.Featurestore), [IDeepCloneable](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IDeepCloneable-1.html)[Featurestore](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.Featurestore), [IBufferMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IBufferMessage.html), [IMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IMessage.html) \n\nInherited Members\n-----------------\n\n[object.GetHashCode()](https://learn.microsoft.com/dotnet/api/system.object.gethashcode) \n[object.GetType()](https://learn.microsoft.com/dotnet/api/system.object.gettype) \n[object.ToString()](https://learn.microsoft.com/dotnet/api/system.object.tostring)\n\nNamespace\n---------\n\n[Google.Cloud.AIPlatform.V1Beta1](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1)\n\nAssembly\n--------\n\nGoogle.Cloud.AIPlatform.V1Beta1.dll\n\nConstructors\n------------\n\n### Featurestore()\n\n public Featurestore()\n\n### Featurestore(Featurestore)\n\n public Featurestore(Featurestore other)\n\nProperties\n----------\n\n### CreateTime\n\n public Timestamp CreateTime { get; set; }\n\nOutput only. Timestamp when this Featurestore was created.\n\n### EncryptionSpec\n\n public EncryptionSpec EncryptionSpec { get; set; }\n\nOptional. Customer-managed encryption key spec for data storage. If set,\nboth of the online and offline data storage will be secured by this key.\n\n### Etag\n\n public string Etag { get; set; }\n\nOptional. Used to perform consistent read-modify-write updates. If not set,\na blind \"overwrite\" update happens.\n\n### FeaturestoreName\n\n public FeaturestoreName FeaturestoreName { get; set; }\n\n[FeaturestoreName](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.FeaturestoreName)-typed view over the [Name](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1Beta1/latest/Google.Cloud.AIPlatform.V1Beta1.Featurestore#Google_Cloud_AIPlatform_V1Beta1_Featurestore_Name) resource name property.\n\n### Labels\n\n public MapField\u003cstring, string\u003e Labels { get; }\n\nOptional. The labels with user-defined metadata to organize your\nFeaturestore.\n\nLabel keys and values can be no longer than 64 characters\n(Unicode codepoints), can only contain lowercase letters, numeric\ncharacters, underscores and dashes. International characters are allowed.\n\nSee \u003chttps://goo.gl/xmQnxf\u003e for more information on and examples of labels.\nNo more than 64 user labels can be associated with one Featurestore(System\nlabels are excluded).\"\nSystem reserved label keys are prefixed with \"aiplatform.googleapis.com/\"\nand are immutable.\n\n### Name\n\n public string Name { get; set; }\n\nOutput only. Name of the Featurestore. Format:\n`projects/{project}/locations/{location}/featurestores/{featurestore}`\n\n### OnlineServingConfig\n\n public Featurestore.Types.OnlineServingConfig OnlineServingConfig { get; set; }\n\nOptional. Config for online storage resources. The field should not\nco-exist with the field of `OnlineStoreReplicationConfig`. If both of it\nand OnlineStoreReplicationConfig are unset, the feature store will not have\nan online store and cannot be used for online serving.\n\n### OnlineStorageTtlDays\n\n public int OnlineStorageTtlDays { get; set; }\n\nOptional. TTL in days for feature values that will be stored in online\nserving storage. The Feature Store online storage periodically removes\nobsolete feature values older than `online_storage_ttl_days` since the\nfeature generation time. Note that `online_storage_ttl_days` should be less\nthan or equal to `offline_storage_ttl_days` for each EntityType under a\nfeaturestore. If not set, default to 4000 days\n\n### SatisfiesPzi\n\n public bool SatisfiesPzi { get; set; }\n\nOutput only. Reserved for future use.\n\n### SatisfiesPzs\n\n public bool SatisfiesPzs { get; set; }\n\nOutput only. Reserved for future use.\n\n### State\n\n public Featurestore.Types.State State { get; set; }\n\nOutput only. State of the featurestore.\n\n### UpdateTime\n\n public Timestamp UpdateTime { get; set; }\n\nOutput only. Timestamp when this Featurestore was last updated."]]
