# Feast For context on getting started with ingestion, check out our [metadata ingestion guide](../README.md). This source is designed for Feast 10+ repositories. As of version 0.10+, Feast has changed the architecture from a stack of services to SDK/CLI centric application. Please refer to [Feast 0.9 vs Feast 0.10+](https://docs.feast.dev/project/feast-0.9-vs-feast-0.10+) for further details. For compatibility with pre-0.10 Feast, see [Feast Legacy](feast_legacy.md) source. :::note This source is only compatible with Feast 0.18.0 ::: ## Setup To install this plugin, run `pip install 'acryl-datahub[feast]'`. ## Capabilities This plugin extracts: - Entities as [`MLPrimaryKey`](https://datahubproject.io/docs/graphql/objects#mlprimarykey) - Features as [`MLFeature`](https://datahubproject.io/docs/graphql/objects#mlfeature) - Feature views and on-demand feature views as [`MLFeatureTable`](https://datahubproject.io/docs/graphql/objects#mlfeaturetable) - Batch and stream source details as [`Dataset`](https://datahubproject.io/docs/graphql/objects#dataset) - Column types associated with each entity and feature ## Quickstart recipe Check out the following recipe to get started with ingestion! See [below](#config-details) for full configuration options. For general pointers on writing and running a recipe, see our [main recipe guide](../README.md#recipes). ```yaml source: type: "feast" config: # Coordinates path: "/path/to/repository/" # Options environment: "PROD" sink: # sink configs ``` ## Config details Note that a `.` is used to denote nested fields in the YAML recipe. | Field | Required | Default | Description | | ------------- | -------- | ------- | ------------------------------------------ | | `path` | ✅ | | Path to Feast repository. | | `environment` | | `PROD` | Environment to use when constructing URNs. | ## Compatibility This source is compatible with [Feast (==0.18.0)](https://github.com/feast-dev/feast/releases/tag/v0.18.0). ## Questions If you've got any questions on configuring this source, feel free to ping us on [our Slack](https://slack.datahubproject.io/)!