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This is the implementation of the Vertica data handler for MindsDB. The column-oriented Vertica Analytics Platform was designed to manage large, fast-growing volumes of data and with fast query performance for data warehouses and other query-intensive applications. The product claims to greatly improve query performance over traditional relational database systems, and to provide high availability and exabyte scalability on commodity enterprise servers. Vertica runs on multiple cloud computing systems as well as on Hadoop nodes. Vertica’s Eon Mode separates compute from storage, using S3 object storage and dynamic allocation of compute notes.

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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 Vertica to MindsDB, install the required dependencies following this instruction.
  3. Install or ensure access to Vertica.

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Implementation

This handler is implemented using vertica-python, a Python library that allows you to use Python code to run SQL commands on the Vertica database. The required arguments to establish a connection are as follows:
  • user is the username asscociated with the database.
  • password is the password to authenticate your access.
  • host is the host name or IP address of the server.
  • port is the port through which TCP/IP connection is to be made.
  • database is the database name to be connected.
  • schema is the schema name to get tables from.

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Usage

In order to make use of this handler and connect to the Vertica database in MindsDB, the following syntax can be used: 
CREATE DATABASE vertica_datasource
WITH
    engine = 'vertica',
    parameters = {
        "user": "dbadmin",
        "password": "password",
        "host": "127.0.0.1",
        "port": 5433,
        "schema_name": "public",
        "database": "VMart"
    };
You can use this established connection to query your table as follows: 
SELECT *
FROM vertica_datasource.TEST;
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