Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.mindsdb.com/llms.txt

Use this file to discover all available pages before exploring further.

This is the implementation of the Impala data handler for MindsDB. Apache Impala is an MPP (Massive Parallel Processing) SQL query engine for processing huge volumes of data that is stored in the Apache Hadoop cluster. It is an open source software written in C++ and Java. It provides high performance and low latency compared to other SQL engines for Hadoop. In other words, Impala is the highest performing SQL engine (giving RDBMS-like experience) that provides the fastest way to access data stored in Hadoop Distributed File System.

​
Prerequisites

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

​
Implementation

This handler is implemented using impyla, a Python library that allows you to use Python code to run SQL commands on Impala. The required arguments to establish a connection are:
  • 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.

​
Usage

In order to make use of this handler and connect to the Impala database in MindsDB, the following syntax can be used: 
CREATE DATABASE impala_datasource
WITH
  engine = 'impala',
  parameters = {
    "user":"root",
    "password":"p@55w0rd",
    "host":"127.0.0.1",
    "port":21050,
    "database":"Db_NamE"
  };
You can use this established connection to query your table as follows: 
SELECT *
FROM impala_datasource.TEST;