This is the implementation of the Redshift data handler for MindsDB.

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers.

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Implementation

This handler is implemented using the redshift_connector library that is provided by the Amazon Web Services.

The required arguments to establish a connection are as follows:

  • host is the host name or IP address of the Redshift cluster.
  • port is the port to use when connecting with the Redshift cluster.
  • database is the database name to use when connecting with the Redshift cluster.
  • user is the username to authenticate the user with the Redshift cluster.
  • password is the password to authenticate the user with the Redshift cluster.

If you installed MindsDB locally via pip, you need to install all handler dependencies manually. To do so, go to the handler’s folder (mindsdb/integrations/handlers/redshift_handler) and run this command: pip install -r requirements.txt.

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Usage

Before attempting to connect to the Redshift database to MindsDB, ensure that it accepts incoming connections. Here is a guideline on how to do that.

In order to make use of this handler and connect to the Redshift database in MindsDB, the following syntax can be used:

CREATE DATABASE redshift_datasource
WITH
  engine = 'redshift',
  parameters = {
    "host": "examplecluster.abc123xyz789.us-west-1.redshift.amazonaws.com",
    "port": 5439,
    "database": "example_db",
    "user": "awsuser",
    "password": "my_password"
  };

You can use this established connection to query your table as follows:

SELECT *
FROM redshift_datasource.example_tbl;
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