Running in Kubernetes

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Pinot quick start in Kubernetes
1. Prerequisites
This quickstart assumes that you already have a running Kubernetes cluster. Please follow the links below to set up a Kubernetes cluster.
​Enable Kubernetes on Docker-Desktop​
​Install Minikube for local setup (make sure to run with enough resources e.g. minikube start --vm=true --cpus=4 --memory=8g --disk-size=50g)
​Setup a Kubernetes Cluster using Amazon Elastic Kubernetes Service (Amazon EKS)​
​Setup a Kubernetes Cluster using Google Kubernetes Engine (GKE)​
​Setup a Kubernetes Cluster using Azure Kubernetes Service (AKS)​
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 ./pinot/kubernetes/helm
Git clone project source
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# checkout pinot
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git clone https://github.com/apache/pinot.git
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cd pinot/kubernetes/helm
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2.1 Start Pinot with Helm
Run Helm with Pre-installed Package
Run Helm Script within Git Repo
Pinot repo has pre-packaged HelmCharts for Pinot and Presto. Helm Repo index file is here.
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helm repo add pinot https://raw.githubusercontent.com/apache/pinot/master/kubernetes/helm
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kubectl create ns pinot-quickstart
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helm install pinot pinot/pinot \
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    -n pinot-quickstart \
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    --set cluster.name=pinot \
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    --set server.replicaCount=2
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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"
2.1.1 Update helm dependency
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helm dependency update
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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:
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helm init --service-account tiller
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Then deploy a new HA Pinot cluster using the following command:
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helm install --namespace "pinot-quickstart" --name "pinot" pinot
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For Helm v3.0.0
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kubectl create ns pinot-quickstart
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helm install -n pinot-quickstart pinot pinot
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2.1.3 Troubleshooting (For helm v2.12.1)
Error: Please run the below command if encountering the following issue:
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Error: could not find tiller.
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Resolution:
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kubectl -n kube-system delete deployment tiller-deploy
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kubectl -n kube-system delete service/tiller-deploy
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helm init --service-account tiller
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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:
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kubectl apply -f helm-rbac.yaml
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2.2 Check Pinot deployment status
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kubectl get all -n pinot-quickstart
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3. Load data into Pinot using Kafka
3.1 Bring up a Kafka cluster for real-time data ingestion
For Helm v3.0.0
For Helm v2.12.1
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helm repo add incubator https://charts.helm.sh/incubator
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helm install -n pinot-quickstart kafka incubator/kafka --set replicas=1,zookeeper.image.tag=latest
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helm repo add incubator https://charts.helm.sh/incubator
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helm install --namespace "pinot-quickstart"  --name kafka incubator/kafka --set zookeeper.image.tag=latest 
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3.2 Check Kafka deployment status
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kubectl get all -n pinot-quickstart | grep kafka
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Ensure the Kafka deployment is ready before executing the scripts in the following next steps.
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pod/kafka-0                                                 1/1     Running     0          2m
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pod/kafka-zookeeper-0                                       1/1     Running     0          10m
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pod/kafka-zookeeper-1                                       1/1     Running     0          9m
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pod/kafka-zookeeper-2                                       1/1     Running     0          8m
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3.3 Create Kafka topics
The scripts below will create two Kafka topics for data ingestion:
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kubectl -n pinot-quickstart exec kafka-0 -- kafka-topics --zookeeper kafka-zookeeper:2181 --topic flights-realtime --create --partitions 1 --replication-factor 1
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kubectl -n pinot-quickstart exec kafka-0 -- kafka-topics --zookeeper kafka-zookeeper:2181 --topic flights-realtime-avro --create --partitions 1 --replication-factor 1
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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
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kubectl apply -f pinot/pinot-realtime-quickstart.yml
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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 ./pinot/kubernetes/helm/pinot
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./query-pinot-data.sh
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5. Using Superset to query Pinot
5.1 Bring up Superset using helm
Install SuperSet Helm Repo
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helm repo add superset https://apache.github.io/superset
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Get Helm values config file:
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helm inspect values superset/superset > /tmp/superset-values.yaml
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Edit /tmp/superset-values.yaml file and add pinotdb pip dependency into bootstrapScript field, so Superset will install pinot dependencies during bootstrap time.
You can also build your own image with this dependency or just use image: apachepinot/pinot-superset:latest instead.
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Also remember to change the admin credential inside the init section with meaningful user profile and stronger password.
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Install Superset using helm
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kubectl create ns superset
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helm upgrade --install --values /tmp/superset-values.yaml superset superset/superset -n superset
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Ensure your cluster is up by running:
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kubectl get all -n superset
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5.2 Access Superset UI
You can run the below command to port forward superset to your localhost:18088. Then you can navigate superset in your browser with the previous set admin credential.
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kubectl port-forward service/superset 18088:8088 -n superset
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Create Pinot Database using URI:
pinot+http://pinot-broker.pinot-quickstart:8099/query?controller=http://pinot-controller.pinot-quickstart:9000/
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Once the database is added, you can add more data sets and explore the dashboarding.​
6. Access Pinot using Trino
6.1 Deploy Trino
You can run the command below to deploy Trino with the Pinot plugin installed.
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helm repo add trino https://trinodb.github.io/charts/
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The above command adds Trino HelmChart repo. You can then run the below command to see the charts.
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helm search repo trino
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In order to connect Trino to Pinot, we need to add Pinot catalog, which requires extra configurations. You can run the below command to get all the configurable values.
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helm inspect values trino/trino > /tmp/trino-values.yaml
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To add Pinot catalog, you can edit the additionalCatalogs section by adding:
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additionalCatalogs:
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  pinot: |
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    connector.name=pinot
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    pinot.controller-urls=pinot-controller.pinot-quickstart:9000
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Pinot is deployed at namespace pinot-quickstart, so the controller serviceURL is pinot-controller.pinot-quickstart:9000
After modifying the /tmp/trino-values.yaml file, you can deploy Trino with:
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kubectl create ns trino-quickstart
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helm install my-trino trino/trino --version 0.2.0 -n trino-quickstart --values /tmp/trino-values.yaml
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Once you deployed the Trino, You can check Trino deployment status by:
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kubectl get pods -n trino-quickstart
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6.2 Query Trino using Trino CLI
Once Trino is deployed, you can run the below command to get a runnable Trino CLI.
6.2.1 Download Trino CLI
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curl -L https://repo1.maven.org/maven2/io/trino/trino-cli/363/trino-cli-363-executable.jar -o /tmp/trino && chmod +x /tmp/trino
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6.2.2 Port forward Trino service to your local if it's not already exposed
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echo "Visit http://127.0.0.1:18080 to use your application"
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kubectl port-forward service/my-trino 18080:8080 -n trino-quickstart
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6.2.3 Use Trino console client to connect to Trino service
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/tmp/trino --server localhost:18080 --catalog pinot --schema default
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6.2.4 Query Pinot data using Trino CLI
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6.3 Sample queries to execute
List all catalogs
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trino:default> show catalogs;
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  Catalog
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---------
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 pinot
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 system
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 tpcds
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 tpch
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(4 rows)
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​
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Query 20211025_010256_00002_mxcvx, FINISHED, 2 nodes
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Splits: 36 total, 36 done (100.00%)
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0.70 [0 rows, 0B] [0 rows/s, 0B/s]
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List All tables
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trino:default> show tables;
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    Table
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--------------
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 airlinestats
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(1 row)
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Query 20211025_010326_00003_mxcvx, FINISHED, 3 nodes
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Splits: 36 total, 36 done (100.00%)
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0.28 [1 rows, 29B] [3 rows/s, 104B/s]
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Show schema
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trino:default> DESCRIBE airlinestats;
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        Column        |      Type      | Extra | Comment
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----------------------+----------------+-------+---------
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 flightnum            | integer        |       |
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 origin               | varchar        |       |
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 quarter              | integer        |       |
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 lateaircraftdelay    | integer        |       |
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 divactualelapsedtime | integer        |       |
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 divwheelsons         | array(integer) |       |
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 divwheelsoffs        | array(integer) |       |
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......
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​
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Query 20211025_010414_00006_mxcvx, FINISHED, 3 nodes
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Splits: 36 total, 36 done (100.00%)
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0.37 [79 rows, 5.96KB] [212 rows/s, 16KB/s]
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Count total documents
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trino:default> select count(*) as cnt from airlinestats limit 10;
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 cnt
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------
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 9746
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(1 row)
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​
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Query 20211025_015607_00009_mxcvx, FINISHED, 2 nodes
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Splits: 17 total, 17 done (100.00%)
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0.24 [1 rows, 9B] [4 rows/s, 38B/s]
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7. Access Pinot using Presto
7.1 Deploy Presto using Pinot plugin
You can run the command below to deploy a customized Presto with the Pinot plugin installed.
Helm
K8s Scripts
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helm install presto pinot/presto -n pinot-quickstart
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kubectl apply -f presto-coordinator.yaml
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The above command deploys Presto with default configs. For customizing your deployment, you can run the below command to get all the configurable values.
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helm inspect values pinot/presto > /tmp/presto-values.yaml
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After modifying the /tmp/presto-values.yaml file, you can deploy Presto with:
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helm install presto pinot/presto -n pinot-quickstart --values /tmp/presto-values.yaml
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Once you deployed the Presto, You can check Presto deployment status by:
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kubectl get pods -n pinot-quickstart
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Sample Output of K8s Deployment Status
7.2 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.
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./pinot-presto-cli.sh
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6.2.1 Download Presto CLI
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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
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6.2.2 Port forward presto-coordinator port 8080 to localhost port 18080
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kubectl port-forward service/presto-coordinator 18080:8080 -n pinot-quickstart> /dev/null &
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6.2.3 Start Presto CLI with pinot catalog to query it then query it
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/tmp/presto-cli --server localhost:18080 --catalog pinot --schema default
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6.2.4 Query Pinot data using Presto CLI
7.3 Sample queries to execute
List all catalogs
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presto:default> show catalogs;
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 Catalog
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 pinot
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 system
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(2 rows)
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Query 20191112_050827_00003_xkm4g, FINISHED, 1 node
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Splits: 19 total, 19 done (100.00%)
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0:01 [0 rows, 0B] [0 rows/s, 0B/s]
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List All tables
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presto:default> show tables;
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    Table
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 airlinestats
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(1 row)
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Query 20191112_050907_00004_xkm4g, FINISHED, 1 node
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Splits: 19 total, 19 done (100.00%)
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0:01 [1 rows, 29B] [1 rows/s, 41B/s]
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Show schema
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presto:default> DESCRIBE pinot.dontcare.airlinestats;
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        Column        |  Type   | Extra | Comment
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----------------------+---------+-------+---------
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 flightnum            | integer |       |
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 origin               | varchar |       |
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 quarter              | integer |       |
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 lateaircraftdelay    | integer |       |
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 divactualelapsedtime | integer |       |
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......
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​
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Query 20191112_051021_00005_xkm4g, FINISHED, 1 node
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Splits: 19 total, 19 done (100.00%)
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0:02 [80 rows, 6.06KB] [35 rows/s, 2.66KB/s]
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Count total documents
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presto:default> select count(*) as cnt from pinot.dontcare.airlinestats limit 10;
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 cnt
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 9745
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(1 row)
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Query 20191112_051114_00006_xkm4g, FINISHED, 1 node
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Splits: 17 total, 17 done (100.00%)
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0:00 [1 rows, 8B] [2 rows/s, 19B/s]
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8. Deleting the Pinot cluster in Kubernetes
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kubectl delete ns pinot-quickstart
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Quick Start Examples
Running on public clouds
Last modified 2mo ago