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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.
First, let's 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.
You can build from source or download the distribution:
Download the release
Build from source
PINOT_VERSION=0.10.0 #set to the Pinot version you decide to use
wget https://downloads.apache.org/pinot/apache-pinot-$PINOT_VERSION/apache-pinot-$PINOT_VERSION-bin.tar.gz
Once you have the tar file,
# untar it
tar -zxvf apache-pinot-$PINOT_VERSION-bin.tar.gz
# navigate to directory containing the launcher scripts
cd apache-pinot-$PINOT_VERSION-bin
Prerequisites
# checkout pinot
git clone https://github.com/apache/pinot.git
cd pinot
# build pinot
mvn install package -DskipTests -Pbin-dist
# navigate to directory containing the setup scripts
cd build
Add maven option
-Djdk.version=8 when building with JDK 8Note that Pinot scripts is located under pinot-distribution/target not target directory under root.
Currently Apache Pinot doesn't provide official binaries for M1 Mac. You can however build from source using the steps provided above. In addition to the steps, you will need to add the following in your
~/.m2/settings.xml prior to the build.<activeProfiles>
<activeProfile>
apple-silicon
</activeProfile>
</activeProfiles>
<profiles>
<profile>
<id>apple-silicon</id>
<properties>
<os.detected.classifier>osx-x86_64</os.detected.classifier>
</properties>
</profile>
</profiles>
Now that we've downloaded Pinot, it's time to set up a cluster. There are two ways to do this:
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 launches Pinot with a baseball dataset pre-loaded:
./bin/pinot-admin.sh QuickStart -type batch
If you want to play with bigger datasets (more than a few MB), you can launch all the components individually.
The video below is a step-by-step walk through for launching the individual components of Pinot and scaling them to multiple instances.
Neha Pawar from the Apache Pinot team shows you how to setup a Pinot cluster
You can find the commands that are shown in this video in the github.com/npawar/pinot-tutorial GitHub repository.
The examples below assume that you are using Java 8.
If you are using Java 11+ users, remove the GC settings inside
JAVA_OPTS. So, for example, instead of:export JAVA_OPTS="-Xms4G -Xmx8G -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -Xloggc:gc-pinot-controller.log"
You'd have:
export JAVA_OPTS="-Xms4G -Xmx8G"
./bin/pinot-admin.sh StartZookeeper \
-zkPort 2191
export JAVA_OPTS="-Xms4G -Xmx8G -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -Xloggc:gc-pinot-controller.log"
./bin/pinot-admin.sh StartController \
-zkAddress localhost:2191 \
-controllerPort 9000
export JAVA_OPTS="-Xms4G -Xmx4G -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -Xloggc:gc-pinot-broker.log"
./bin/pinot-admin.sh StartBroker \
-zkAddress localhost:2191
export JAVA_OPTS="-Xms4G -Xmx16G -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -Xloggc:gc-pinot-server.log"
./bin/pinot-admin.sh StartServer \
-zkAddress localhost:2191
./bin/pinot-admin.sh StartKafka \
-zkAddress=localhost:2191/kafka \
-port 19092
Once your cluster is up and running, you can head over to Exploring Pinot to learn how to run queries against the data.
Last modified 1yr ago