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

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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.
If you installed MindsDB locally via pip, you need to install all handler dependencies manually. To do so, go to the handler’s folder (mindsdb/integrations/handlers/pinot_handler) and run this command: pip install -r requirements.txt.

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Usage

In order to make use of this handler and connect to the Pinot cluster in MindsDB, the following syntax can be used: 
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: 
SELECT *
FROM pinot_datasource.example_tbl;
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