LogoLogo
v0.23-branch
v0.23-branch
  • Introduction
  • Community
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Concepts
      • Overview
      • Data ingestion
      • Entity
      • Feature view
      • Feature retrieval
      • Point-in-time joins
      • Registry
      • [Alpha] Saved dataset
    • Architecture
      • Overview
      • Registry
      • Offline store
      • Online store
      • Batch Materialization Engine
      • Provider
    • Learning by example
    • Third party integrations
    • FAQ
  • Tutorials
    • Sample use-case tutorials
      • Driver ranking
      • Fraud detection on GCP
      • Real-time credit scoring on AWS
      • Driver stats on Snowflake
    • Validating historical features with Great Expectations
    • Using Scalable Registry
    • Building streaming features
  • How-to Guides
    • Running Feast with Snowflake/GCP/AWS
      • Install Feast
      • Create a feature repository
      • Deploy a feature store
      • Build a training dataset
      • Load data into the online store
      • Read features from the online store
    • Running Feast in production
    • Upgrading for Feast 0.20+
    • Customizing Feast
      • Adding a custom batch materialization engine
      • Adding a new offline store
      • Adding a new online store
      • Adding a custom provider
    • Adding or reusing tests
  • Reference
    • Codebase Structure
    • Data sources
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Push
      • Kafka
      • Kinesis
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
    • Offline stores
      • Overview
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
    • Online stores
      • SQLite
      • Snowflake
      • Redis
      • Datastore
      • DynamoDB
      • PostgreSQL (contrib)
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • [Alpha] AWS Lambda feature server
    • [Beta] Web UI
    • [Alpha] On demand feature view
    • [Alpha] Data quality monitoring
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
      • Maintainer Docs
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
Powered by GitBook
On this page
  • Overview
  • Feast Ignore Patterns
  1. Reference
  2. Feature repository

.feastignore

Previousfeature_store.yamlNextFeature servers

Last updated 2 years ago

Overview

.feastignore is a file that is placed at the root of the . This file contains paths that should be ignored when running feast apply. An example .feastignore is shown below:

.feastignore
# Ignore virtual environment
venv

# Ignore a specific Python file
scripts/foo.py

# Ignore all Python files directly under scripts directory
scripts/*.py

# Ignore all "foo.py" anywhere under scripts directory
scripts/**/foo.py

.feastignore file is optional. If the file can not be found, every Python file in the feature repo directory will be parsed by feast apply.

Feast Ignore Patterns

Pattern
Example matches
Explanation

venv

venv/foo.py venv/a/foo.py

You can specify a path to a specific directory. Everything in that directory will be ignored.

scripts/foo.py

scripts/foo.py

You can specify a path to a specific file. Only that file will be ignored.

scripts/*.py

scripts/foo.py scripts/bar.py

You can specify an asterisk (*) anywhere in the expression. An asterisk matches zero or more characters, except "/".

scripts/**/foo.py

scripts/foo.py scripts/a/foo.py scripts/a/b/foo.py

You can specify a double asterisk (**) anywhere in the expression. A double asterisk matches zero or more directories.

Feature Repository