This is the implementation of the Amazon Aurora handler for MindsDB. Amazon Aurora is a fully managed relational database engine that’s compatible with MySQL and PostgreSQL.

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Implementation

This handler was implemented using the existing MindsDB handlers for MySQL and PostgreSQL. The required arguments to establish a connection are as follows:
  • host: the host name or IP address of the Amazon Aurora DB cluster.
  • port: the TCP/IP port of the Amazon Aurora DB cluster.
  • user: the username used to authenticate with the Amazon Aurora DB cluster.
  • password: the password to authenticate the user with the Amazon Aurora DB cluster.
  • database: the database name to use when connecting with the Amazon Aurora DB cluster.
There optional arguments that can be used are as follows:
  • db_engine: the database engine of the Amazon Aurora DB cluster. This can take one of two values: ‘mysql’ or ‘postgresql’. This parameter is optional, but if it is not provided, aws_access_key_id and aws_secret_access_key parameters must be provided.
  • aws_access_key_id: the access key for the AWS account. This parameter is optional and is only required to be provided if the db_engine parameter is not provided.
  • aws_secret_access_key: the secret key for the AWS account. This parameter is optional and is only required to be provided if the db_engine parameter is not provided.
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/aurora_handler) and run this command: pip install -r requirements.txt.

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Usage

In order to make use of this handler and connect to an Amazon Aurora MySQL DB Cluster in MindsDB, the following syntax can be used: 
CREATE DATABASE aurora_mysql_datasource
WITH
    engine = 'aurora',
    parameters = {
        "db_engine": "mysql",
        "host": "mysqlcluster.cluster-123456789012.us-east-1.rds.amazonaws.com",
        "port": 3306,
        "user": "admin",
        "password": "password",
        "database": "example_db"
    };
Now, you can use this established connection to query your database as follows: 
SELECT *
SELECT * FROM aurora_mysql_datasource.example_table;
Similar commands can be used to establish a connection and query Amazon Aurora PostgreSQL DB Cluster: 
CREATE DATABASE aurora_postgres_datasource
WITH
    engine = 'aurora',
    parameters = {
        "db_engine": "postgresql",
        "host": "postgresmycluster.cluster-123456789012.us-east-1.rds.amazonaws.com",
        "port": 5432,
        "user": "postgres",
        "password": "password",
        "database": "example_db "
    };

SELECT * FROM aurora_postgres_datasource.example_table
If you want to switch to different database, you can include it in your query as:
SELECT *
FROM aurora_datasource.new_database.example_table;