Manual cluster setup

This quick start guide will show you how to set up a Pinot cluster manually.

Start Pinot components (scripts or docker images)

Using docker images
Using launcher scripts
Using docker images

Start Pinot Components using docker

Pull docker image

You can try out pre-built Pinot all-in-one docker image.

export PINOT_VERSION=0.3.0-SNAPSHOT
export PINOT_IMAGE=apachepinot/pinot:${PINOT_VERSION}
docker pull ${PINOT_IMAGE}

(Optional) You can also follow the instructions here to build your own images.

0. Create a Network

Create an isolated bridge network in docker

docker network create -d bridge pinot-demo

1. Start Zookeeper

Start Zookeeper in daemon mode. This is a single node zookeeper setup. Zookeeper is the central metadata store for Pinot and should be set up with replication for production use. See https://zookeeper.apache.org/doc/r3.6.0/zookeeperStarted.html#sc_RunningReplicatedZooKeeper for more information.

docker run \
--network=pinot-demo \
--name pinot-zookeeper \
--restart always \
-p 2181:2181 \
-d zookeeper:3.5.6

Start ZKUI to browse Zookeeper data at http://localhost:9090.

docker run --rm -ti \
--network pinot-demo --name=zkui \
-p 9090:9090 \
-e ZK_SERVER=pinot-zookeeper:2181 \
-d qnib/plain-zkui:latest

Alternately, you can use Zooinspector.

2. Start Pinot Controller

Start Pinot Controller in daemon and connect to Zookeeper.

docker run --rm -ti \
--network=pinot-demo \
--name pinot-controller \
-p 9000:9000 \
-d ${PINOT_IMAGE} StartController \
-zkAddress pinot-zookeeper:2181

3. Start Pinot Broker

Start Pinot Broker in daemon and connect to Zookeeper.

docker run --rm -ti \
--network=pinot-demo \
--name pinot-broker \
-d ${PINOT_IMAGE} StartBroker \
-zkAddress pinot-zookeeper:2181

4. Start Pinot Server

Start Pinot Server in daemon and connect to Zookeeper.

docker run --rm -ti \
--network=pinot-demo \
--name pinot-server \
-d ${PINOT_IMAGE} StartServer \
-zkAddress pinot-zookeeper:2181

5. Start Kafka

Optionally, you can also start Kafka for setting up realtime streams. This brings up the Kafka broker on port 9092.

docker run --rm -ti \
--network pinot-demo --name=kafka \
-e KAFKA_ZOOKEEPER_CONNECT=pinot-zookeeper:2181/kafka \
-e KAFKA_BROKER_ID=0 \
-e KAFKA_ADVERTISED_HOST_NAME=kafka \
-d wurstmeister/kafka:latest

Now all Pinot related components are started as an empty cluster.

You can run below command to check container status.

docker container ls -a

Sample Console Output

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9ec20e4463fa wurstmeister/kafka:latest "start-kafka.sh" 43 minutes ago Up 43 minutes kafka
0775f5d8d6bf apachepinot/pinot:latest "./bin/pinot-admin.s…" 44 minutes ago Up 44 minutes 8096-8099/tcp, 9000/tcp pinot-server
64c6392b2e04 apachepinot/pinot:latest "./bin/pinot-admin.s…" 44 minutes ago Up 44 minutes 8096-8099/tcp, 9000/tcp pinot-broker
b6d0f2bd26a3 apachepinot/pinot:latest "./bin/pinot-admin.s…" 45 minutes ago Up 45 minutes 8096-8099/tcp, 0.0.0.0:9000->9000/tcp pinot-controller
570416fc530e zookeeper:3.5.6 "/docker-entrypoint.…" 45 minutes ago Up 45 minutes 2888/tcp, 3888/tcp, 0.0.0.0:2181->2181/tcp, 8080/tcp pinot-zookeeper
Using launcher scripts

Prerequisites

Follow instruction in Getting Pinot to get Pinot

Start Pinot components via launcher scripts

1. Start Zookeeper

cd apache-pinot-incubating-${PINOT_VERSION}-bin
bin/pinot-admin.sh StartZookeeper \
-zkPort 2191

You can use Zooinspector to browse the Zookeeper instance.

2. Start Pinot Controller

bin/pinot-admin.sh StartController \
-zkAddress localhost:2191 \
-controllerPort 9000

3. Start Pinot Broker

bin/pinot-admin.sh StartBroker \
-zkAddress localhost:2191

4. Start Pinot Server

bin/pinot-admin.sh StartServer \
-zkAddress localhost:2191

5. Start Kafka

bin/pinot-admin.sh StartKafka \
-zkAddress=localhost:2191/kafka \
-port 19092

Now all Pinot related components are started as an empty cluster.

Now it's time to start adding data to the cluster. Check out some of the Recipes or follow the Batch upload sample data and Stream sample data for instructions on loading your own data.