This quick start guide will help you bootstrap a Pinot standalone instance on your local machine.
In this guide, you'll learn how to download and install Apache Pinot as a standalone instance.
First, download the Pinot distribution for this tutorial. You can either download a packaged release or build a distribution from the source code.
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
.
Support for M1 and M2 Mac systems
Currently, Apache Pinot doesn't provide official binaries for M1 or M2 Macs. For instructions, see M1 and M2 Mac Support.
Download the distribution or build from source by selecting one of the following tabs:
Download the latest binary release from Apache Pinot, or use this command:
Extract the TAR file:
Navigate to the directory containing the launcher scripts:
You can also find older versions of Apache Pinot at https://archive.apache.org/dist/pinot/. For example, to download Pinot 0.10.0, run the following command:
Follow these steps to checkout code from Github and build Pinot locally
Prerequisites
Install Apache Maven 3.6 or higher
For M1 and M2 Macs, first follow the steps below first.
Check out Pinot:
Build Pinot:
If you're building with JDK 8, add Maven option -Djdk.version=8.
Navigate to the directory containing the setup scripts. Note that Pinot scripts are located under pinot-distribution/target
, not the target
directory under root
.
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:
Add the following to your ~/.m2/settings.xml
:
Install Rosetta:
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.
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 Quick Start Examples.
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 this Github repository.
The examples below assume that you are using Java 8.
If you are using Java 11+ users, remove the GC settings insideJAVA_OPTS
. So, for example, instead of this:
Use the following:
You can use Zooinspector to browse the Zookeeper instance.
Once your cluster is up and running, you can head over to Exploring Pinot to learn how to run queries against the data.
Set break points and inspect variables by starting a Pinot component with debug mode in IntelliJ.
The following example demonstrates server debugging:
First, startzookeeper
, controller
, and broker
using the steps described above.
Then, use the following configuration under $PROJECT_DIR$\.run
) to start the server, replacing the metrics-core
version and cluster name as needed.
This commit is an example of how to use it.