This is the implementation of the Snowflake data handler for MindsDB. Snowflake is a cloud data warehouse that stores and analyzes data. It can automatically scale up/down its compute resources to load, integrate, and analyze data.

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Prerequisites

Before proceeding, ensure the following prerequisites are met:
  1. Install MindsDB locally via Docker or use MindsDB Cloud.
  2. To connect Snowflake to MindsDB, install the required dependencies following this instruction.
  3. Install or ensure access to Snowflake.

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Implementation

This handler is implemented using the Snowflake connector. The required arguments to establish a connection are as follows:
  • host is the host name or IP address. The host name comes from the Snowflake link (for example, uvwxyz123.us-west.gcp.snowflakecomputing.com).
  • port is the port used to make TCP/IP connection.
  • database is the database name. You can find it in the Snowflake dashboard under the Databases tab.
  • user is the database user.
  • password is the database password.
  • account is the Snowflake account. The account name comes from the Snowflake link (for example, uvwxyz123.us-west.gcp).
  • schema is the default schema name used to query the database.
  • protocol is the protocol that defaults to https if left blank.
  • warehouse is the warehouse account. You can find it in the Snowflake dashboard under the Warehouses tab.

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Usage

In order to make use of this handler and connect to the Snowflake database in MindsDB, the following syntax can be used: 
CREATE DATABASE snowflake_datasource
WITH
    ENGINE = 'snowflake',
    PARAMETERS = {
    "host": "uvwxyz123.us-west.gcp.snowflakecomputing.com",
    "port": 443,
    "database": "database_name",
    "user": "user",
    "password": "password",
    "account": "uvwxyz123.us-west.gcp",
    "schema": "schema_name",
    "protocol": "https",
    "warehouse": "warehouse_name"
    };
You can use this established connection to query your table as follows: 
SELECT *
FROM snowflake_datasource.example_table;
Please note that the above query uses the provided schema implicitly so it is equivalent to the following: 
SELECT *
FROM snowflake_datasource.schema_name.example_table;
If you have access to other schemas available in the connected Snowflake database, then you can query them as below: 
SELECT *
FROM snowflake_datasource.other_schema_name.example_table;