Deploy a feature store

The Feast CLI can be used to deploy a feature store to your infrastructure, spinning up any necessary persistent resources like buckets or tables in data stores. The deployment target and effects depend on the provider that has been configured in your feature_store.yaml file, as well as the feature definitions found in your feature repository.
Here we'll be using the example repository we created in the previous guide, Create a feature store. You can re-create it by running feast init in a new directory.
Deploying
To have Feast deploy your infrastructure, run feast apply from your command line while inside a feature repository:
1
feast apply
2
​
3
# Processing example.py as example
4
# Done!
Copied!
Depending on whether the feature repository is configured to use a local provider or one of the cloud providers like GCP or AWS, it may take from a couple of seconds to a minute to run to completion.
At this point, no data has been materialized to your online store. Feast apply simply registers the feature definitions with Feast and spins up any necessary infrastructure such as tables. To load data into the online store, run feast materialize. See Load data into the online store for more details.
Cleaning up
If you need to clean up the infrastructure created by feast apply, use the teardown command.
Warning: teardown is an irreversible command and will remove all feature store infrastructure. Proceed with caution!
1
feast teardown
Copied!
****

Create a feature repository

Build a training dataset

Last modified 7d ago

Export as PDF

Copy link

Edit on GitHub

Contents

Deploying

Cleaning up