Feast CLI reference
Overview
The Feast CLI comes bundled with the Feast Python package. It is immediately available after installing Feast.
Usage: feast [OPTIONS] COMMAND [ARGS]...
Feast CLI
For more information, see our public docs at https://docs.feast.dev/
For any questions, you can reach us at https://slack.feast.dev/
Options:
-c, --chdir TEXT Switch to a different feature repository directory before
executing the given subcommand.
--help Show this message and exit.
Commands:
apply Create or update a feature store deployment
entities Access entities
feature-views Access feature views
init Create a new Feast repository
materialize Run a (non-incremental) materialization job to...
materialize-incremental Run an incremental materialization job to ingest...
registry-dump Print contents of the metadata registry
teardown Tear down deployed feature store infrastructure
version Display Feast SDK version
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.
feast -c path/to/my/feature/repo apply
Apply
Creates or updates a feature store deployment
feast apply
What does Feast apply do?
Feast will scan Python files in your feature repository and find all Feast object definitions, such as feature views, entities, and data sources.
Feast will validate your feature definitions
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).
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 infeature_store.yaml
. For example, settinglocal
as your provider will result in asqlite
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
feast entities list
NAME DESCRIPTION TYPE
driver_id driver id ValueType.INT64
Feature views
List all registered feature views
feast feature-views list
NAME ENTITIES
driver_hourly_stats ['driver_id']
Init
Creates a new feature repository
feast init my_repo_name
Creating a new Feast repository in /projects/my_repo_name.
.
├── data
│ └── driver_stats.parquet
├── example.py
└── feature_store.yaml
It's also possible to use other templates
feast init -t gcp my_feature_repo
or to set the name of the new project
feast init -t gcp my_feature_repo
Materialize
Load data from feature views into the online store between two dates
feast materialize 2020-01-01T00:00:00 2022-01-01T00:00:00
Load data for specific feature views into the online store between two dates
feast materialize -v driver_hourly_stats 2020-01-01T00:00:00 2022-01-01T00:00:00
Materializing 1 feature views from 2020-01-01 to 2022-01-01
driver_hourly_stats:
100%|██████████████████████████| 5/5 [00:00<00:00, 5949.37it/s]
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.
feast materialize-incremental 2022-01-01T00:00:00
Teardown
Tear down deployed feature store infrastructure
feast teardown
Version
Print the current Feast version
feast version
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