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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 is returned when calling get_historical_features().

Configuration options are available .

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 is returned when calling get_historical_features().

Configuration options are available .

feature_store.yaml

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

feature_store.yaml

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