Running Pinot locally

In this guide, you'll learn how to download and install Apache Pinot as a standalone instance.

• Download Apache Pinot

• Set up a cluster

Download Apache Pinot

First, download the Pinot distribution for this tutorial. You can either download a packaged release or build a distribution from the source code.

Prerequisites

• Install JDK11 or higher (JDK16 is not yet supported).

• For JDK 8 support, use Pinot 0.7.1 or compile from the source code.

Note that some installations of the JDK do not contain the JNI bindings necessary to run all tests. If you see an error like java.lang.UnsatisfiedLinkError while running tests, you might need to change your JDK.

If using Homebrew, install AdoptOpenJDK 11 using brew install --cask adoptopenjdk11.

Download the distribution or build from source by selecting one of the following tabs:

M1 and M2 Mac Support

Currently, Apache Pinot doesn't provide official binaries for M1 or M2 Mac systems. Follow the instructions below to run on an M1 or M2 Mac:

1. Add the following to your ~/.m2/settings.xml:

1. Install Rosetta:

Set up a cluster

Now that we've downloaded Pinot, it's time to set up a cluster. There are two ways to do this: through quick start or through setting up a cluster manually.

Quick start

Pinot comes with quick start commands that launch instances of Pinot components in the same process and import pre-built datasets.

For example, the following quick start command launches Pinot with a baseball dataset pre-loaded:

For a list of all the available quick start commands, see the .

Manual cluster

If you want to play with bigger datasets (more than a few megabytes), you can launch each component individually.

The video below is a step-by-step walk through for launching the individual components of Pinot and scaling them to multiple instances.

You can find the commands that are shown in this video in the .

Start Zookeeper

You can use to browse the Zookeeper instance.

Start Pinot Controller

Start Pinot Broker

Start Pinot Server

Start Kafka

Once your cluster is up and running, you can head over to to learn how to run queries against the data.

Start a Pinot component in debug mode with IntelliJ

Set break points and inspect variables by starting a Pinot component with debug mode in IntelliJ.

The following example demonstrates server debugging:

1. First, startzookeeper , controller, and broker using the .

2. Then, use the following configuration under $PROJECT_DIR$\.run ) to start the server, replacing the metrics-core version and cluster name as needed. This is an example of how to use it.