Feast CLI reference

Overview
The Feast CLI comes bundled with the Feast Python package. It is immediately available after installing Feast.
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Usage: feast [OPTIONS] COMMAND [ARGS]...
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  Feast CLI
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  For more information, see our public docs at https://docs.feast.dev/
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  For any questions, you can reach us at https://slack.feast.dev/
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Options:
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  -c, --chdir TEXT  Switch to a different feature repository directory before
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                    executing the given subcommand.
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  --help            Show this message and exit.
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Commands:
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  apply                    Create or update a feature store deployment
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  entities                 Access entities
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  feature-views            Access feature views
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  init                     Create a new Feast repository
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  materialize              Run a (non-incremental) materialization job to...
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  materialize-incremental  Run an incremental materialization job to ingest...
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  registry-dump            Print contents of the metadata registry
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  teardown                 Tear down deployed feature store infrastructure
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  version                  Display Feast SDK version
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Global Options
The Feast CLI provides one global top-level option that can be used with other commands
chdir (-c, --chdir)
This command allows users to run Feast CLI commands in a different folder from the current working directory.
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feast -c path/to/my/feature/repo apply
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Apply
Creates or updates a feature store deployment
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feast apply
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What does Feast apply do?
1.Feast will scan Python files in your feature repository and find all Feast object definitions, such as feature views, entities, and data sources.
2.Feast will validate your feature definitions (e.g. for uniqueness of features)
3.Feast will sync the metadata about Feast objects to the registry. If a registry does not exist, then it will be instantiated. The standard registry is a simple protobuf binary file that is stored on disk (locally or in an object store).
4.Feast CLI will create all necessary feature store infrastructure. The exact infrastructure that is deployed or configured depends on the provider configuration that you have set in feature_store.yaml. For example, setting local as your provider will result in a sqlite online store being created.
feast apply (when configured to use cloud provider like gcp or aws) will create cloud infrastructure. This may incur costs.
Entities
List all registered entities
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feast entities list
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NAME       DESCRIPTION    TYPE
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driver_id  driver id      ValueType.INT64
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Feature views
List all registered feature views
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feast feature-views list
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NAME                 ENTITIES
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driver_hourly_stats  ['driver_id']
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Init
Creates a new feature repository
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feast init my_repo_name
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Creating a new Feast repository in /projects/my_repo_name.
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.
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├── data
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│   └── driver_stats.parquet
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├── example.py
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└── feature_store.yaml
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It's also possible to use other templates
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feast init -t gcp my_feature_repo
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or to set the name of the new project
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feast init -t gcp my_feature_repo
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Materialize
Load data from feature views into the online store between two dates
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feast materialize 2020-01-01T00:00:00 2022-01-01T00:00:00
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Load data for specific feature views into the online store between two dates
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feast materialize -v driver_hourly_stats 2020-01-01T00:00:00 2022-01-01T00:00:00
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Materializing 1 feature views from 2020-01-01 to 2022-01-01
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driver_hourly_stats:
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100%|██████████████████████████| 5/5 [00:00<00:00, 5949.37it/s]
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Materialize incremental
Load data from feature views into the online store, beginning from either the previous materialize or materialize-incremental end date, or the beginning of time.
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feast materialize-incremental 2022-01-01T00:00:00
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Teardown
Tear down deployed feature store infrastructure
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feast teardown
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Version
Print the current Feast version
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feast version
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Materialize incremental

Teardown

Version