Snowflake

Description

Snowflake data sources are Snowflake tables or views. These can be specified either by a table reference or a SQL query.

Examples

Using a table reference:

from feast import SnowflakeSource

my_snowflake_source = SnowflakeSource(
    database="FEAST",
    schema="PUBLIC",
    table="FEATURE_TABLE",
)

Using a query:

from feast import SnowflakeSource

my_snowflake_source = SnowflakeSource(
    query="""
    SELECT
        timestamp_column AS "ts",
        "created",
        "f1",
        "f2"
    FROM
        `FEAST.PUBLIC.FEATURE_TABLE`
      """,
)

Be careful about how Snowflake handles table and column name conventions. In particular, you can read more about quote identifiers here.

The full set of configuration options is available here.

Supported Types

Snowflake data sources support all eight primitive types. Array types are also supported but not with type inference. For a comparison against other batch data sources, please see here.