Running Pinot locally
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.
This is a quickstart 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 Manual cluster setup.
Download Apache Pinot
First, let's download the Pinot distribution for this tutorial. You can either build the distribution from source or download a packaged release.
Prerequisites
Install JDK8 or higher.
Build from source or download the distribution
Follow these steps to checkout code from Github and build Pinot locally
Prerequisites
Install Apache Maven 3.6 or higher
Note that Pinot scripts is located under pinot-distribution/target not target directory under root.
Setting up a Pinot cluster
We'll be using a quick-start script, which does the following:
Sets up the Pinot cluster
QuickStartCluster
Creates a sample table and loads sample data
There's 3 kinds of quick start
Batch
Batch quick start creates the pinot cluster, creates an offline table baseballStats
and pushes sample offline data to the table.
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 Pinot Data Explorer to check out the data in the baseballStats
table.
Streaming
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.
We now have a Pinot cluster with a realtime table! You can head over to Pinot Data Explorer to check out the data in the meetupRSVP
table.
Hybrid
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.
Let's head over to Pinot Data Explorer to check out the data we pushed to the airlineStats
table.
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