Running Pinot locally
This quick start guide will help you bootstrap a Pinot standalone instance on your local machine.
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This quick start guide will help you bootstrap a Pinot standalone instance on your local machine.
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In this guide you'll learn how to download and install Apache Pinot as a standalone instance.
This is a quick start guide that will show you how to quickly start an example recipe in a standalone instance and is meant for learning. To run Pinot in cluster mode, please take a look at .
First, let's download the Pinot distribution for this tutorial. You can either build the distribution from source or download a packaged release.
Follow these steps to checkout code from and build Pinot locally
We'll be using the quick-start scripts provided along with pinot distribution, which do the following:
Set up the Pinot cluster QuickStartCluster
Create a sample table and load sample data
Batch quick start creates the pinot cluster, creates an offline table baseballStats
and pushes sample offline data to the table.
Streaming quick start sets up a Kafka cluster and pushes sample data to a Kafka topic. Then, it creates the Pinot cluster and creates a realtime table meetupRSVP
which ingests data from the Kafka topic.
Hybrid quick start sets up a Kafka cluster and pushes sample data to a Kafka topic. Then, it creates the Pinot cluster and creates a hybrid table airlineStats
. The realtime table ingests data from the Kafka topic. Lastly, sample data is pushed into the offline table.
The following quick start scripts are available. Please note though, these scripts launch the Pinot cluster with minimal resources. If you intend to play with sizable data (more than few MB), you may want to follow the and provide required resources.
That's it! We've spun up a Pinot cluster. You can continue playing with other types of quick start, or simply head on to to check out the data in the baseballStats
table.
We now have a Pinot cluster with a realtime table! You can head over to to check out the data in the meetupRSVP
table.
Let's head over to to check out the data we pushed to the airlineStats
table.