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  • Introduction
  • Community
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Concepts
      • Overview
      • Data source
      • Entity
      • Feature view
      • Feature service
      • Feature retrieval
      • Point-in-time joins
      • Dataset
    • Architecture
      • Overview
      • Feature repository
      • Registry
      • Offline store
      • Online store
      • Provider
    • Third party integrations
    • FAQ
  • Tutorials
    • Overview
    • Driver ranking
    • Fraud detection on GCP
    • Real-time credit scoring on AWS
    • Driver stats on Snowflake
    • Validating historical features with Great Expectations
  • 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
    • Deploying a Java feature server on Kubernetes
    • Upgrading from Feast 0.9
    • Adding a custom provider
    • Adding a new online store
    • Adding a new offline store
    • Adding or reusing tests
  • Reference
    • Data sources
      • File
      • Snowflake
      • BigQuery
      • Redshift
    • Offline stores
      • File
      • Snowflake
      • BigQuery
      • Redshift
    • Online stores
      • SQLite
      • Redis
      • Datastore
      • DynamoDB
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Local feature server
    • [Alpha] Data quality monitoring
    • [Alpha] On demand feature view
    • [Alpha] Stream ingestion
    • [Alpha] AWS Lambda feature server
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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  • How Feast SDK usage is measured
  • How to disable usage logging

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  1. Reference

Usage

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Last updated 3 years ago

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How Feast SDK usage is measured

The Feast project logs anonymous usage statistics and errors in order to inform our planning. Several client methods are tracked, beginning in Feast 0.9. Users are assigned a UUID which is sent along with the name of the method, the Feast version, the OS (using sys.platform), and the current time.

The is available here.

How to disable usage logging

Set the environment variable FEAST_USAGE to False.

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