This is the implementation of the Elasticsearch data handler for MindsDB. Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Elasticsearch is built on Apache Lucene and was first released in 2010 by Elasticsearch N.V. (now known as Elastic).

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

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Implementation

This handler is implemented using the elasticsearch library, the Python Elasticsearch client. The required arguments to establish a connection are as follows:
  • hosts is the host name(s) or IP address(es) of the Elasticsearch server(s). If multiple host name(s) or IP address(es) exist, they should be separated by commas. This parameter is optional, but it should be provided if cloud_id is not.
  • cloud_id is the unique ID to your hosted Elasticsearch cluster on Elasticsearch Service. This parameter is optional, but it should be provided if hosts is not.
  • username is the username used to authenticate with the Elasticsearch server. This parameter is optional.
  • password is the password used to authenticate the user with the Elasticsearch server. This parameter is optional.

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Usage

In order to make use of this handler and connect to the Elasticsearch server in MindsDB, the following syntax can be used: 
CREATE DATABASE elasticsearch_datasource
WITH
  engine = 'elasticsearch',
  parameters = {
      "hosts": "localhost:9200"
  };
You can use this established connection to query your index as follows: 
SELECT *
FROM elasticsearch_datasource.example_index;
There are certain limitations that need to be taken into account when issuing queries to Elasticsearch. You can find a detailed guide here.