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description
Pinot quick start in Kubernetes

Running Pinot in Kubernetes

1. Prerequisites

{% hint style="info" %} This quickstart assumes that you already have a running Kubernetes cluster. Please follow the links below to set up a Kubernetes cluster.

2. Setting up a Pinot cluster in Kubernetes

Before continuing, please make sure that you've downloaded Apache Pinot. The scripts for the setup in this guide can be found in our open source project on GitHub.

The scripts can be found in the Pinot source at ./incubator-pinot/kubernetes/helm

{% tabs %} {% tab title="Git clone project source" %}

# checkout pinot
git clone https://github.com/apache/incubator-pinot.git
cd incubator-pinot/kubernetes/helm

{% endtab %} {% endtabs %}

2.1 Start Pinot with Helm

{% tabs %} {% tab title="Run Helm with Pre-installed Package" %} Pinot repo has pre-packaged HelmCharts for Pinot and Presto. Helm Repo index file is here.

helm repo add pinot https://raw.githubusercontent.com/apache/incubator-pinot/master/kubernetes/helm
kubectl create ns pinot-quickstart
helm install pinot pinot/pinot \
    -n pinot-quickstart \
    --set cluster.name=pinot \
    --set server.replicaCount=2

NOTE: Please specify StorageClass based on your cloud vendor. For Pinot Server, please don't mount blob store like AzureFile/GoogleCloudStorage/S3 as the data serving file system.

Only use Amazon EBS/GCP Persistent Disk/Azure Disk style disks.

  • For AWS: "gp2"
  • For GCP: "pd-ssd" or "standard"
  • For Azure: "AzureDisk"
  • For Docker-Desktop: "hostpath" {% endtab %}

{% tab title="Run Helm Script within Git Repo" %}

2.1.1 Update helm dependency

helm dependency update

2.1.2 Start Pinot with Helm

  • For Helm v2.12.1

If your Kubernetes cluster is recently provisioned, ensure Helm is initialized by running:

helm init --service-account tiller

Then deploy a new HA Pinot cluster using the following command:

helm install --namespace "pinot-quickstart" --name "pinot" .
  • For Helm v3.0.0
kubectl create ns pinot-quickstart
helm install -n pinot-quickstart pinot .

2.1.3 Troubleshooting (For helm v2.12.1)

  • Error: Please run the below command if encountering the following issue:
Error: could not find tiller.
  • Resolution:
kubectl -n kube-system delete deployment tiller-deploy
kubectl -n kube-system delete service/tiller-deploy
helm init --service-account tiller
  • Error: Please run the command below if encountering a permission issue:

Error: release pinot failed: namespaces "pinot-quickstart" is forbidden: User "system:serviceaccount:kube-system:default" cannot get resource "namespaces" in API group "" in the namespace "pinot-quickstart"

  • Resolution:
kubectl apply -f helm-rbac.yaml

{% endtab %} {% endtabs %}

2.2 Check Pinot deployment status

kubectl get all -n pinot-quickstart

3. Load data into Pinot using Kafka

3.1 Bring up a Kafka cluster for real-time data ingestion

{% tabs %} {% tab title="For Helm v3.0.0" %}

helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
helm install -n pinot-quickstart kafka incubator/kafka --set replicas=1

{% endtab %}

{% tab title="For Helm v2.12.1" %}

helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
helm install --namespace "pinot-quickstart"  --name kafka incubator/kafka

{% endtab %} {% endtabs %}

3.2 Check Kafka deployment status

kubectl get all -n pinot-quickstart |grep kafka

Ensure the Kafka deployment is ready before executing the scripts in the following next steps.

pod/kafka-0                                          1/1     Running     0          2m
pod/kafka-zookeeper-0                                       1/1     Running     0          10m
pod/kafka-zookeeper-1                                       1/1     Running     0          9m
pod/kafka-zookeeper-2                                       1/1     Running     0          8m

3.3 Create Kafka topics

The scripts below will create two Kafka topics for data ingestion:

kubectl -n pinot-quickstart exec kafka-0 -- kafka-topics --zookeeper kafka-zookeeper:2181 --topic flights-realtime --create --partitions 1 --replication-factor 1
kubectl -n pinot-quickstart exec kafka-0 -- kafka-topics --zookeeper kafka-zookeeper:2181 --topic flights-realtime-avro --create --partitions 1 --replication-factor 1

3.4 Load data into Kafka and create Pinot schema/tables

The script below will deploy 3 batch jobs.

  • Ingest 19492 JSON messages to Kafka topic flights-realtime at a speed of 1 msg/sec
  • Ingest 19492 Avro messages to Kafka topic flights-realtime-avro at a speed of 1 msg/sec
  • Upload Pinot schema airlineStats
  • Create Pinot table airlineStats to ingest data from JSON encoded Kafka topic flights-realtime
  • Create Pinot table airlineStatsAvro to ingest data from Avro encoded Kafka topic flights-realtime-avro
kubectl apply -f pinot-realtime-quickstart.yml

4. Query using Pinot Data Explorer

4.1 Pinot Data Explorer

Please use the script below to perform local port-forwarding, which will also open Pinot query console in your default web browser.

This script can be found in the Pinot source at ./incubator-pinot/kubernetes/helm

./query-pinot-data.sh

5. Using Superset to query Pinot

5.1 Bring up Superset

Open superset.yaml file and goto the line showing storageclass. And change it based on your cloud vendor:

  • For AWS: "gp2"
  • For GCP: "pd-ssd" or "standard"
  • For Azure: "AzureDisk"
  • For Docker-Desktop: "hostpath"

Then run:

kubectl apply -f superset.yaml

Ensure your cluster is up by running:

kubectl get all -n pinot-quickstart | grep superset

5.2 (First time) Set up Admin account

kubectl exec -it pod/superset-0 -n pinot-quickstart -- bash -c 'flask fab create-admin'

5.3 (First time) Init Superset

kubectl exec -it pod/superset-0 -n pinot-quickstart -- bash -c 'superset db upgrade'
kubectl exec -it pod/superset-0 -n pinot-quickstart -- bash -c 'superset init'

5.4 Load Demo data source

kubectl exec -it pod/superset-0 -n pinot-quickstart -- bash -c 'superset import_datasources -p /etc/superset/pinot_example_datasource.yaml'
kubectl exec -it pod/superset-0 -n pinot-quickstart -- bash -c 'superset import_dashboards -p /etc/superset/pinot_example_dashboard.json'

5.5 Access Superset UI

You can run below command to navigate superset in your browser with the previous admin credential.

./open-superset-ui.sh

You can open the imported dashboard by clicking Dashboards banner and then click on AirlineStats.

6. Access Pinot using Presto

6.1 Deploy Presto using Pinot plugin

You can run the command below to deploy a customized Presto with the Pinot plugin installed.

{% tabs %} {% tab title="Helm" %}

helm install presto pinot/presto -n pinot-quickstart

{% endtab %}

{% tab title="K8s Scripts" %}

kubectl apply -f presto-coordinator.yaml

{% endtab %} {% endtabs %}

The above command deploys Presto with default configs. For customizing your deployment, you can run the below command to get all the configurable values.

helm inspect values pinot/presto > /tmp/presto-values.yaml

After modifying the /tmp/presto-values.yaml file, you can deploy Presto with:

helm install presto pinot/presto -n pinot-quickstart --values /tmp/presto-values.yaml

Once you deployed the Presto, You can check Presto deployment status by:

Kubectl get pod -n pinot-quickstart

Sample Output of K8s Deployment Status

6.2 Query Presto using Presto CLI

Once Presto is deployed, you can run the below command from here, or just follow steps 6.2.1 to 6.2.3.

./pinot-presto-cli.sh

6.2.1 Download Presto CLI

curl -L https://repo1.maven.org/maven2/com/facebook/presto/presto-cli/0.246/presto-cli-0.246-executable.jar -o /tmp/presto-cli && chmod +x /tmp/presto-cli

6.2.2 Port forward presto-coordinator port 8080 to localhost port 18080

kubectl port-forward service/presto-coordinator 18080:8080 -n pinot-quickstart> /dev/null &

6.2.3 Start Presto CLI with pinot catalog to query it then query it

/tmp/presto-cli --server localhost:18080 --catalog pinot --schema default

6.2.4 Query Pinot data using Presto CLI

6.3 Sample queries to execute

  • List all catalogs
presto:default> show catalogs;
 Catalog
---------
 pinot
 system
(2 rows)

Query 20191112_050827_00003_xkm4g, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:01 [0 rows, 0B] [0 rows/s, 0B/s]

  • List All tables
presto:default> show tables;
    Table
--------------
 airlinestats
(1 row)

Query 20191112_050907_00004_xkm4g, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:01 [1 rows, 29B] [1 rows/s, 41B/s]
  • Show schema
presto:default> DESCRIBE pinot.dontcare.airlinestats;
        Column        |  Type   | Extra | Comment
----------------------+---------+-------+---------
 flightnum            | integer |       |
 origin               | varchar |       |
 quarter              | integer |       |
 lateaircraftdelay    | integer |       |
 divactualelapsedtime | integer |       |
......

Query 20191112_051021_00005_xkm4g, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:02 [80 rows, 6.06KB] [35 rows/s, 2.66KB/s]
  • Count total documents
presto:default> select count(*) as cnt from pinot.dontcare.airlinestats limit 10;
 cnt
------
 9745
(1 row)

Query 20191112_051114_00006_xkm4g, FINISHED, 1 node
Splits: 17 total, 17 done (100.00%)
0:00 [1 rows, 8B] [2 rows/s, 19B/s]

7. Deleting the Pinot cluster in Kubernetes

kubectl delete ns pinot-quickstart