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  • Introduction
  • Basics
    • Concepts
      • Pinot storage model
      • Architecture
      • Components
        • Cluster
          • Tenant
          • Server
          • Controller
          • Broker
          • Minion
        • Table
          • Segment
            • Deep Store
            • Segment threshold
            • Segment retention
          • Schema
          • Time boundary
        • Pinot Data Explorer
    • Getting Started
      • Running Pinot locally
      • Running Pinot in Docker
      • Quick Start Examples
      • Running in Kubernetes
      • Running on public clouds
        • Running on Azure
        • Running on GCP
        • Running on AWS
      • Create and update a table configuration
      • Batch import example
      • Stream ingestion example
      • HDFS as Deep Storage
      • Troubleshooting Pinot
      • Frequently Asked Questions (FAQs)
        • General
        • Pinot On Kubernetes FAQ
        • Ingestion FAQ
        • Query FAQ
        • Operations FAQ
    • Import Data
      • From Query Console
      • Batch Ingestion
        • Spark
        • Flink
        • Hadoop
        • Backfill Data
        • Dimension table
      • Stream ingestion
        • Ingest streaming data from Apache Kafka
        • Ingest streaming data from Amazon Kinesis
        • Ingest streaming data from Apache Pulsar
        • Configure indexes
      • Stream ingestion with Upsert
      • Segment compaction on upserts
      • Stream ingestion with Dedup
      • Stream ingestion with CLP
      • File Systems
        • Amazon S3
        • Azure Data Lake Storage
        • HDFS
        • Google Cloud Storage
      • Input formats
        • Complex Type (Array, Map) Handling
        • Ingest records with dynamic schemas
      • Reload a table segment
      • Upload a table segment
    • Indexing
      • Bloom filter
      • Dictionary index
      • Forward index
      • FST index
      • Geospatial
      • Inverted index
      • JSON index
      • Native text index
      • Range index
      • Star-tree index
      • Text search support
      • Timestamp index
    • Release notes
      • 1.1.0
      • 1.0.0
      • 0.12.1
      • 0.12.0
      • 0.11.0
      • 0.10.0
      • 0.9.3
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      • 0.9.1
      • 0.9.0
      • 0.8.0
      • 0.7.1
      • 0.6.0
      • 0.5.0
      • 0.4.0
      • 0.3.0
      • 0.2.0
      • 0.1.0
    • Recipes
      • Connect to Streamlit
      • Connect to Dash
      • Visualize data with Redash
      • GitHub Events Stream
  • For Users
    • Query
      • Querying Pinot
      • Query Syntax
        • Aggregation Functions
        • Cardinality Estimation
        • Explain Plan (Single-Stage)
        • Explain Plan (Multi-Stage)
        • Filtering with IdSet
        • GapFill Function For Time-Series Dataset
        • Grouping Algorithm
        • JOINs
        • Lookup UDF Join
        • Querying JSON data
        • Transformation Functions
        • Window aggregate
        • Funnel Analysis
      • Query Options
      • Multi stage query
        • Operator Types
          • Aggregate
          • Filter
          • Join
          • Intersect
          • Leaf
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          • Union
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        • Understanding Stages
        • Explain
        • Stats
      • User-Defined Functions (UDFs)
    • APIs
      • Broker Query API
        • Query Response Format
      • Controller Admin API
      • Controller API Reference
    • External Clients
      • JDBC
      • Java
      • Python
      • Golang
    • Tutorials
      • Use OSS as Deep Storage for Pinot
      • Ingest Parquet Files from S3 Using Spark
      • Creating Pinot Segments
      • Use S3 as Deep Storage for Pinot
      • Use S3 and Pinot in Docker
      • Batch Data Ingestion In Practice
      • Schema Evolution
  • For Developers
    • Basics
      • Extending Pinot
        • Writing Custom Aggregation Function
        • Segment Fetchers
      • Contribution Guidelines
      • Code Setup
      • Code Modules and Organization
      • Dependency Management
      • Update documentation
    • Advanced
      • Data Ingestion Overview
      • Ingestion Aggregations
      • Ingestion Transformations
      • Null value support
      • Use the multi-stage query engine (v2)
      • Troubleshoot issues with the multi-stage query engine (v2)
      • Advanced Pinot Setup
    • Plugins
      • Write Custom Plugins
        • Input Format Plugin
        • Filesystem Plugin
        • Batch Segment Fetcher Plugin
        • Stream Ingestion Plugin
    • Design Documents
      • Segment Writer API
  • For Operators
    • Deployment and Monitoring
      • Set up cluster
      • Server Startup Status Checkers
      • Set up table
      • Set up ingestion
      • Decoupling Controller from the Data Path
      • Segment Assignment
      • Instance Assignment
      • Rebalance
        • Rebalance Servers
        • Rebalance Brokers
        • Rebalance Tenant
      • Separating data storage by age
        • Using multiple tenants
        • Using multiple directories
      • Pinot managed Offline flows
      • Minion merge rollup task
      • Consistent Push and Rollback
      • Access Control
      • Monitoring
      • Tuning
        • Real-time
        • Routing
        • Query Routing using Adaptive Server Selection
        • Query Scheduling
      • Upgrading Pinot with confidence
      • Managing Logs
      • OOM Protection Using Automatic Query Killing
    • Command-Line Interface (CLI)
    • Configuration Recommendation Engine
    • Tutorials
      • Authentication
        • Basic auth access control
        • ZkBasicAuthAccessControl
      • Configuring TLS/SSL
      • Build Docker Images
      • Running Pinot in Production
      • Kubernetes Deployment
      • Amazon EKS (Kafka)
      • Amazon MSK (Kafka)
      • Monitor Pinot using Prometheus and Grafana
      • Performance Optimization Configurations
  • Configuration Reference
    • Cluster
    • Controller
    • Broker
    • Server
    • Table
    • Ingestion
    • Schema
    • Ingestion Job Spec
    • Monitoring Metrics
    • Functions
      • ABS
      • ADD
      • ago
      • EXPR_MIN / EXPR_MAX
      • arrayConcatDouble
      • arrayConcatFloat
      • arrayConcatInt
      • arrayConcatLong
      • arrayConcatString
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      • arrayContainsString
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      • ARRAYLENGTH
      • arrayRemoveInt
      • arrayRemoveString
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      • arrayReverseString
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      • arraySliceString
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      • arraySortString
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      • arrayUnionString
      • AVGMV
      • Base64
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      • ceil
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      • count
      • COUNTMV
      • COVAR_POP
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      • day
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      • dayOfYear
      • DISTINCT
      • DISTINCTAVG
      • DISTINCTAVGMV
      • DISTINCTCOUNT
      • DISTINCTCOUNTBITMAP
      • DISTINCTCOUNTHLLMV
      • DISTINCTCOUNTHLL
      • DISTINCTCOUNTBITMAPMV
      • DISTINCTCOUNTMV
      • DISTINCTCOUNTRAWHLL
      • DISTINCTCOUNTRAWHLLMV
      • DISTINCTCOUNTRAWTHETASKETCH
      • DISTINCTCOUNTTHETASKETCH
      • DISTINCTSUM
      • DISTINCTSUMMV
      • DIV
      • DATETIMECONVERT
      • DATETRUNC
      • exp
      • FIRSTWITHTIME
      • FLOOR
      • FrequentLongsSketch
      • FrequentStringsSketch
      • FromDateTime
      • FromEpoch
      • FromEpochBucket
      • FUNNELCOUNT
      • FunnelCompleteCount
      • FunnelMaxStep
      • FunnelMatchStep
      • Histogram
      • hour
      • isSubnetOf
      • JSONFORMAT
      • JSONPATH
      • JSONPATHARRAY
      • JSONPATHARRAYDEFAULTEMPTY
      • JSONPATHDOUBLE
      • JSONPATHLONG
      • JSONPATHSTRING
      • jsonextractkey
      • jsonextractscalar
      • LAG
      • LASTWITHTIME
      • LEAD
      • length
      • ln
      • lower
      • lpad
      • ltrim
      • max
      • MAXMV
      • MD5
      • millisecond
      • min
      • minmaxrange
      • MINMAXRANGEMV
      • MINMV
      • minute
      • MOD
      • mode
      • month
      • mult
      • now
      • percentile
      • percentileest
      • percentileestmv
      • percentilemv
      • percentiletdigest
      • percentiletdigestmv
      • percentilekll
      • percentilerawkll
      • percentilekllmv
      • percentilerawkllmv
      • quarter
      • regexpExtract
      • regexpReplace
      • remove
      • replace
      • reverse
      • round
      • ROW_NUMBER
      • rpad
      • rtrim
      • second
      • SEGMENTPARTITIONEDDISTINCTCOUNT
      • sha
      • sha256
      • sha512
      • sqrt
      • startswith
      • ST_AsBinary
      • ST_AsText
      • ST_Contains
      • ST_Distance
      • ST_GeogFromText
      • ST_GeogFromWKB
      • ST_GeometryType
      • ST_GeomFromText
      • ST_GeomFromWKB
      • STPOINT
      • ST_Polygon
      • strpos
      • ST_Union
      • SUB
      • substr
      • sum
      • summv
      • TIMECONVERT
      • timezoneHour
      • timezoneMinute
      • ToDateTime
      • ToEpoch
      • ToEpochBucket
      • ToEpochRounded
      • TOJSONMAPSTR
      • toGeometry
      • toSphericalGeography
      • trim
      • upper
      • Url
      • UTF8
      • VALUEIN
      • week
      • year
      • yearOfWeek
      • Extract
    • Plugin Reference
      • Stream Ingestion Connectors
      • VAR_POP
      • VAR_SAMP
      • STDDEV_POP
      • STDDEV_SAMP
    • Dynamic Environment
  • Reference
    • Single-stage query engine (v1)
    • Multi-stage query engine (v2)
    • Troubleshooting
      • Troubleshoot issues with the multi-stage query engine (v2)
      • Troubleshoot issues with ZooKeeper znodes
  • RESOURCES
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
    • Spark-Pinot Connector
  • Contributing
    • Contribute Pinot documentation
    • Style guide
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On this page
  • 1. Tooling Installation
  • 1.1 Install Kubectl
  • 1.2 Install Helm
  • 1.3 Install Azure CLI
  • 2. (Optional) Log in to your Azure account
  • 3. (Optional) Create a Resource Group
  • 4. (Optional) Create a Kubernetes cluster(AKS) in Azure
  • 5. Connect to an existing cluster
  • 6. Pinot quickstart
  • 7. Delete a Kubernetes Cluster

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  1. Basics
  2. Getting Started
  3. Running on public clouds

Running on Azure

This quickstart guide helps you get started running Pinot on Microsoft Azure.

PreviousRunning on public cloudsNextRunning on GCP

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In this quickstart guide, you will set up a Kubernetes Cluster on

1. Tooling Installation

1.1 Install Kubectl

Follow this link () to install kubectl.

For Mac users

brew install kubernetes-cli

Check kubectl version after installation.

kubectl version

Quickstart scripts are tested under kubectl client version v1.16.3 and server version v1.13.12

1.2 Install Helm

To install Helm, see .

For Mac users

brew install kubernetes-helm

Check helm version after installation.

helm version

This quickstart provides helm supports for helm v3.0.0 and v2.12.1. Pick the script based on your helm version.

1.3 Install Azure CLI

For Mac users

brew update && brew install azure-cli

2. (Optional) Log in to your Azure account

This script will open your default browser to sign-in to your Azure Account.

az login

3. (Optional) Create a Resource Group

Use the following script create a resource group in location eastus.

AKS_RESOURCE_GROUP=pinot-demo
AKS_RESOURCE_GROUP_LOCATION=eastus
az group create --name ${AKS_RESOURCE_GROUP} \
                --location ${AKS_RESOURCE_GROUP_LOCATION}

4. (Optional) Create a Kubernetes cluster(AKS) in Azure

This script will create a 3 node cluster named pinot-quickstart for demo purposes.

Modify the parameters in the following example command with your resource group and cluster details:

AKS_RESOURCE_GROUP=pinot-demo
AKS_CLUSTER_NAME=pinot-quickstart
az aks create --resource-group ${AKS_RESOURCE_GROUP} \
              --name ${AKS_CLUSTER_NAME} \
              --node-count 3

Once the command succeeds, the cluster is ready to be used.

5. Connect to an existing cluster

Run the following command to get the credential for the cluster pinot-quickstart that you just created:

AKS_RESOURCE_GROUP=pinot-demo
AKS_CLUSTER_NAME=pinot-quickstart
az aks get-credentials --resource-group ${AKS_RESOURCE_GROUP} \
                       --name ${AKS_CLUSTER_NAME}

To verify the connection, run the following:

kubectl get nodes

6. Pinot quickstart

7. Delete a Kubernetes Cluster

AKS_RESOURCE_GROUP=pinot-demo
AKS_CLUSTER_NAME=pinot-quickstart
az aks delete --resource-group ${AKS_RESOURCE_GROUP} \
              --name ${AKS_CLUSTER_NAME}

Follow this link () to install Azure CLI.

Follow this to deploy your Pinot demo.

Azure Kubernetes Service (AKS)
https://kubernetes.io/docs/tasks/tools/install-kubectl
Installing Helm
https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest
Kubernetes quickstart