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:
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feast init
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Creating a new Feast repository in /<...>/tiny_pika.
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Snowflake template
GCP template
AWS template
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feast init -t snowflake
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Snowflake Deployment URL: ...
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Snowflake User Name: ...
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Snowflake Password: ...
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Snowflake Role Name: ...
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Snowflake Warehouse Name: ...
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Snowflake Database Name: ...
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Creating a new Feast repository in /<...>/tiny_pika.
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feast init -t gcp
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Creating a new Feast repository in /<...>/tiny_pika.
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feast init -t aws
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AWS Region (e.g. us-west-2): ...
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Redshift Cluster ID: ...
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Redshift Database Name: ...
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Redshift User Name: ...
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Redshift S3 Staging Location (s3://*): ...
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Redshift IAM Role for S3 (arn:aws:iam::*:role/*): ...
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Should I upload example data to Redshift (overwriting 'feast_driver_hourly_stats' table)? (Y/n):
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Creating a new Feast repository in /<...>/tiny_pika.
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The init command creates a Python file with feature definitions, sample data, and a Feast configuration file for local development:
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$ tree
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.
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└── tiny_pika
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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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1 directory, 3 files
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Enter the directory:
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# Replace "tiny_pika" with your auto-generated dir name
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cd tiny_pika
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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.

Install Feast

Deploy a feature store

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