Manual cluster setup

This quick start guide will show you how to set up a Pinot cluster manually.

Start Pinot components (scripts or Docker images)

A manual cluster setup consists of the following components - 1. Zookeeper 2. Controller 3. Broker 4. Server 5. Kafka

We will run each of these components in separate containers

Start Pinot Components using docker

Prerequisites

If running locally, please ensure your docker cluster has enough resources, below is a sample config.

Sample docker resources

Pull docker image

You can try out the pre-built Pinot all-in-one docker image.

(Optional) You can also follow the instructions here to build your own images.

0. Create a Network

Create an isolated bridge network in docker

1. Start Zookeeper

Start Zookeeper in daemon mode. This is a single node zookeeper setup. Zookeeper is the central metadata store for Pinot and should be set up with replication for production use. For more information, see Running Replicated Zookeeper.

2. Start Pinot Controller

Start Pinot Controller in daemon and connect to Zookeeper.

The command below expects a 4GB memory container. Please tune-Xms and-Xmx if your machine doesn't have enough resources.

3. Start Pinot Broker

Start Pinot Broker in daemon and connect to Zookeeper.

The command below expects a 4GB memory container. Please tune-Xms and-Xmx if your machine doesn't have enough resources.

4. Start Pinot Server

Start Pinot Server in daemon and connect to Zookeeper.

The command below expects a 16GB memory container. Please tune-Xms and-Xmx if your machine doesn't have enough resources.

5. Start Kafka

Optionally, you can also start Kafka for setting up realtime streams. This brings up the Kafka broker on port 9092.

Now all Pinot related components are started as an empty cluster.

You can run the below command to check container status.

Sample Console Output

Run docker-compose up to launch all the components.

You can run the below command to check container status.

Sample Console Output

Now it's time to start adding data to the cluster. Check out some of the Recipes or follow the Batch upload sample data and Stream sample data for instructions on loading your own data.

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