BigQuery data sources allow for the retrieval of historical feature values from BigQuery for building training datasets as well as materializing features into an online store.
Either a table reference or a SQL query can be provided.
No performance guarantees can be provided over SQL query-based sources. Please use table references where possible.
Using a table reference
from feast import BigQuerySourcemy_bigquery_source = BigQuerySource(table_ref="gcp_project:bq_dataset.bq_table",)
Using a query
from feast import BigQuerySourceBigQuerySource(query="SELECT timestamp as ts, created, f1, f2 ""FROM `my_project.my_dataset.my_features`",)
Configuration options are available here.