# Snowflake

## Description

The Snowflake offline store provides support for reading [SnowflakeSources](/v0.18-branch/reference/data-sources/snowflake.md).

* Snowflake tables and views are allowed as sources.
* All joins happen within Snowflake.
* Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be uploaded to Snowflake in order to complete join operations.
* A `SnowflakeRetrievalJob` is returned when calling `get_historical_features()`.
  * This allows you to call
    * `to_snowflake` to save the dataset into Snowflake
    * `to_sql` to get the SQL query that would execute on `to_df`
    * `to_arrow_chunks` to get the result in batches ([Snowflake python connector docs](https://docs.snowflake.com/en/user-guide/python-connector-api.html#get_result_batches))

## Example

{% code title="feature\_store.yaml" %}

```yaml
project: my_feature_repo
registry: data/registry.db
provider: local
offline_store:
  type: snowflake.offline
  account: snowflake_deployment.us-east-1
  user: user_login
  password: user_password
  role: sysadmin
  warehouse: demo_wh
  database: FEAST
```

{% endcode %}

Configuration options are available in [SnowflakeOfflineStoreConfig](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/infra/offline_stores/snowflake.py#L56).


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