This is the implementation of the Hive data handler for MindsDB. Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

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

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Implementation

This handler is implemented using the pyHive, a Python library that allows you to use Python code to run SQL commands on Hive. 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 server IP address or hostname.
  • port is the port through which TCP/IP connection is to be made.
  • database is the database name to be connected.
  • auth defaults to CUSTOM if not provided. Check for other options in here.

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Usage

In order to make use of this handler and connect to the Hive database in MindsDB, the following syntax can be used: 
CREATE DATABASE hive_datasource
WITH
  engine = 'hive',
  parameters = {
    "user": "demo_user",
    "password": "demo_password",
    "host": "127.0.0.1",
    "port": "10000",
    "database": "default"
  };
You can use this established connection to query your table as follows: 
SELECT *
FROM hive_datasource.table_name;
To install pyHive, the following Linux packages are required:
  • libsasl2-dev
  • sasl2-bin
  • libsasl2-2
  • libsasl2-dev
  • libsasl2-modules
  • libsasl2-modules-gssapi-mit