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Create a feature repository
A feature repository is a directory that contains the configuration of the feature store and individual features. This configuration is written as code (Python/YAML) and it's highly recommended that teams track it centrally using git. See Feature Repository for a detailed explanation of feature repositories.
The easiest way to create a new feature repository to use feast init command:
feast init
Creating a new Feast repository in /<...>/tiny_pika.
Snowflake template
GCP template
AWS template
feast init -t snowflake
Snowflake Deployment URL: ...
Snowflake User Name: ...
Snowflake Password: ...
Snowflake Role Name: ...
Snowflake Warehouse Name: ...
Snowflake Database Name: ...
Creating a new Feast repository in /<...>/tiny_pika.
feast init -t gcp
Creating a new Feast repository in /<...>/tiny_pika.
feast init -t aws
AWS Region (e.g. us-west-2): ...
Redshift Cluster ID: ...
Redshift Database Name: ...
Redshift User Name: ...
Redshift S3 Staging Location (s3://*): ...
Redshift IAM Role for S3 (arn:aws:iam::*:role/*): ...
Should I upload example data to Redshift (overwriting 'feast_driver_hourly_stats' table)? (Y/n):
Creating a new Feast repository in /<...>/tiny_pika.
The init command creates a Python file with feature definitions, sample data, and a Feast configuration file for local development:
$ tree
.
└── tiny_pika
├── data
│ └── driver_stats.parquet
├── example.py
└── feature_store.yaml
1 directory, 3 files
Enter the directory:
# Replace "tiny_pika" with your auto-generated dir name
cd tiny_pika
You can now use this feature repository for development. You can try the following:
  • Run feast apply to apply these definitions to Feast.
  • Edit the example feature definitions in example.py and run feast apply again to change feature definitions.
  • Initialize a git repository in the same directory and checking the feature repository into version control.
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