> ## 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 Pinot

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

[Apache Pinot](https://pinot.apache.org/) is a real-time distributed OLAP database designed for low-latency query execution even at extremely high throughput. Apache Pinot can ingest directly from streaming sources like Apache Kafka and make events available for querying immediately.

## 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 Pinot to MindsDB, install the required dependencies following [this instruction](/setup/self-hosted/docker#install-dependencies).
3. Install or ensure access to Apache Pinot.

## Implementation

This handler was implemented using the `pinotdb` library, the Python DB-API and SQLAlchemy dialect for Pinot.

The required arguments to establish a connection are as follows:

* `host` is the host name or IP address of the Apache Pinot cluster.
* `broker_port` is the port that the Broker of the Apache Pinot cluster is running on.
* `controller_port` is the port that the Controller of the Apache Pinot cluster is running on.
* `path` is the query path.

## Usage

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

```sql theme={null}
CREATE DATABASE pinot_datasource
WITH
    engine = 'pinot',
    parameters = {
      "host":"localhost",
      "broker_port": 8000,
      "controller_port": 9000,
      "path": "/query/sql",
      "scheme": "http"
    };
```

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

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