BigQuery

Description

BigQuery data sources are BigQuery tables or views. These can be specified either by a table reference or a SQL query. However, no performance guarantees can be provided for SQL query-based sources, so table references are recommended.

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`",
)

The full set of configuration options is available here.

Supported Types

BigQuery data sources support all eight primitive types and their corresponding array types. For a comparison against other batch data sources, please see here.

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