> ## 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.

# Apache Druid

This is the implementation of the Druid data handler for MindsDB.

[Apache Druid](https://druid.apache.org/docs/latest/design) is a real-time analytics database designed for fast slice-and-dice analytics (*OLAP* queries) on large data sets. Most often, Druid powers use cases where real-time ingestion, fast query performance, and high uptime are important.

## Prerequisites

Before proceeding, ensure the following prerequisites are met:

1. Install MindsDB locally via [Docker](/setup/self-hosted/docker) or [Docker Desktop](/setup/self-hosted/docker-desktop).
2. To connect Apache Druid to MindsDB, install the required dependencies following [this instruction](/setup/self-hosted/docker#install-dependencies).
3. Install or ensure access to Apache Druid.

## Implementation

This handler was implemented using the `pydruid` library, the Python API for Apache Druid.

The required arguments to establish a connection are as follows:

* `host` is the host name or IP address of the Apache Druid database.
* `port` is the port that Apache Druid is running on.
* `path` is the query path.
* `scheme` is the URI schema. This parameter is optional and defaults to `http`.
* `user` is the username used to authenticate with Apache Druid. This parameter is optional.
* `password` is the password used to authenticate with Apache Druid. This parameter is optional.

## Usage

In order to make use of this handler and connect to Apache Druid in MindsDB, the following syntax can be used:

```sql theme={null}
CREATE DATABASE druid_datasource
WITH
    engine = 'druid',
    parameters = {
      "host": "localhost",
      "port": 8888,
      "path": "/druid/v2/sql/",
      "scheme": "http"
    };
```

You can use this established connection to query your table as follows:

```sql theme={null}
SELECT *
FROM druid_datasource.example_tbl;
```