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This is the implementation of the CrateDB data handler for MindsDB. CrateDB is a distributed SQL database management system that integrates a fully searchable document-oriented data store. It is open-source, written in Java, based on a shared-nothing architecture, and designed for high scalability. CrateDB includes components from Lucene, Elasticsearch and Netty.

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Prerequisites

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

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Implementation

This handler is implemented using crate, a Python library that allows you to use Python code to run SQL commands on CrateDB. The required arguments to establish a connection are as follows:
  • user is the username associated with the database.
  • password is the password to authenticate your access.
  • host is the hostname or IP adress of the server.
  • port is the port through which connection is to be made.
  • schema_name is schema name to get tables from. Defaults to doc.

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Usage

In order to make use of this handler and connect to the CrateDB database in MindsDB, the following syntax can be used: 
CREATE DATABASE crate_datasource
WITH
    engine = 'crate',
    parameters = {
        "user": "crate",
        "password": "",
        "host": "127.0.0.1",
        "port": 4200,
        "schema_name": "doc"
    };
You can use this established connection to query your table as follows: 
SELECT *
FROM crate_datasource.demo;