BigQuery

Description

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.

Examples

Using a table reference

from feast import BigQuerySource
my_bigquery_source = BigQuerySource(
table_ref="gcp_project:bq_dataset.bq_table",
)

Using a query

from feast import BigQuerySource
BigQuerySource(
query="SELECT timestamp as ts, created, f1, f2 "
"FROM `my_project.my_dataset.my_features`",
)

Configuration options are available here.