Snowflake source

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`
      """,
)

{% hint style="warning" %} Be careful about how Snowflake handles table and column name conventions. In particular, you can read more about quote identifiers here. {% endhint %}

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.