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  • Introduction
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      • Install Feast
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  1. Reference
  2. Offline stores

BigQuery

Description

The BigQuery offline store provides support for reading BigQuerySources.

  • BigQuery tables and views are allowed as sources.

  • All joins happen within BigQuery.

  • Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be uploaded to BigQuery in order to complete join operations.

  • A BigQueryRetrievalJob is returned when calling get_historical_features().

Example

feature_store.yaml
project: my_feature_repo
registry: gs://my-bucket/data/registry.db
provider: gcp
offline_store:
  type: bigquery
  dataset: feast_bq_dataset

Configuration options are available here.

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Last updated 3 years ago

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