Running Pinot in Docker

This quick start guide will show you how to run a Pinot cluster using Docker.

Prerequisites

Install Docker‚Äč

You can also try Kubernetes quick start if you already have a local minikube cluster installed or Docker Kubernetes setup.

We'll be using our docker image apachepinot/pinot:latest to run this quick start, which does the following:

  • Sets up the Pinot cluster

  • Creates a sample table and loads sample data

The following quick-start scripts are available

  • Batch example

  • Streaming example

  • Hybrid example

Before running the scripts, create an isolated bridge network pinot-demo in docker. This will allow all docker containers to easily communicate with each other. You can create the network using the following command -

docker network create -d bridge pinot-demo

Batch example

In this example we demonstrate how to do batch processing with Pinot.

  • Starts Pinot deployment by starting

    • Apache Zookeeper

    • Pinot Controller

    • Pinot Broker

    • Pinot Server

  • Creates a demo table

    • baseballStats

  • Launches a standalone data ingestion job

    • Builds one Pinot segment for a given CSV data file for table baseballStats

    • Pushes the built segment to the Pinot controller

  • Issues sample queries to Pinot

docker run \
--network=pinot-demo \
--name pinot-quickstart \
-p 9000:9000 \
-d apachepinot/pinot:latest QuickStart \
-type batch

Once the Docker container is running, you can view the logs by running the following command.

docker logs pinot-quickstart -f

That's it! We've spun up a Pinot cluster.

It may take a while for all the Pinot components to start and for the sample data to be loaded.

Use the below command to check the status in the container logs.

docker logs pinot-quickstart -f

Your cluster is ready once you see the cluster setup completion messages and sample queries, as demonstrated below.

Cluster Setup Completion Example

You can head over to Exploring Pinot to check out the data in the baseballStats table.

Streaming example

In this example we demonstrate how to do stream processing with Pinot.

  • Starts Pinot deployment by starting

    • Apache Kafka

    • Apache Zookeeper

    • Pinot Controller

    • Pinot Broker

    • Pinot Server

  • Creates a demo table

    • meetupRsvp

  • Launches a meetup stream

  • Publishes data to a Kafka topic meetupRSVPEvents to be subscribed to by Pinot

  • Issues sample queries to Pinot

# stop previous container, if any, or use different network
docker run \
--network=pinot-demo \
--name pinot-quickstart \
-p 9000:9000 \
-d apachepinot/pinot:latest QuickStart \
-type stream

Once the cluster is up, you can head over to Exploring Pinot to check out the data in the meetupRSVPEvents table.

Hybrid example

In this example we demonstrate how to do hybrid stream and batch processing with Pinot.

  1. Starts Pinot deployment by starting

    • Apache Kafka

    • Apache Zookeeper

    • Pinot Controller

    • Pinot Broker

    • Pinot Server

  2. Creates a demo table

    • airlineStats

  3. Launches a standalone data ingestion job

    • Builds Pinot segments under a given directory of Avro files for table airlineStats

    • Pushes built segments to Pinot controller

  4. Launches a stream of flights stats

  5. Publishes data to a Kafka topic airlineStatsEvents to be subscribed to by Pinot

  6. Issues sample queries to Pinot

# stop previous container, if any, or use different network
docker run \
--network=pinot-demo \
--name pinot-quickstart \
-p 9000:9000 \
-d apachepinot/pinot:latest QuickStart \
-type hybrid

Once the cluster is up, you can head over to Exploring Pinot to check out the data in the airlineStats table.