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docs/getting-started/concepts/architecture-and-components/untitled.md
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# Registry | ||
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The Feast feature registry is a central catalog of all the feature definitions and their related metadata. It allows data scientists to search, discover, and collaborate on new features. | ||
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Each Feast deployment has a single feature registry. Feast only supports file-based registries today, but supports three different backends | ||
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* `Local`: Used as a local backend for storing the registry during development | ||
* `S3`: Used as a centralized backend for storing the registry on AWS | ||
* `GCS`: Used as a centralized backend for storing the registry on GCP | ||
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The feature registry is updated during different operations when using Feast. More specifically, objects within the registry \(entities, feature views, feature services\) are updated when running `apply` from the Feast CLI, but metadata about objects can also be updated during operations like materialization. | ||
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Users interact with a feature registry through the Feast SDK. Listing all feature views: | ||
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```python | ||
fs = FeatureStore("my_feature_repo/") | ||
print(fs.list_feature_views()) | ||
``` | ||
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Or retrieving a specific feature view: | ||
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```python | ||
fs = FeatureStore("my_feature_repo/") | ||
fv = fs.get_feature_view(“my_fv1”) | ||
``` | ||
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{% hint style="info" %} | ||
The feature registry is a [Protobuf representation](https://github.com/feast-dev/feast/blob/master/protos/feast/core/Registry.proto) of Feast metadata. This Protobuf file can be read programmatically from other programming languages, but no compatibility guarantees are made on the internal structure of the registry. | ||
{% endhint %} | ||
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