LogoLogo
release-1.0.0
release-1.0.0
  • Introduction
  • Basics
    • Concepts
    • Architecture
    • Components
      • Cluster
        • Tenant
        • Server
        • Controller
        • Broker
        • Minion
      • Table
        • Segment
          • Deep Store
        • Schema
      • 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
      • 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
        • Apache Kafka
        • Amazon Kinesis
        • Apache Pulsar
      • Stream Ingestion with Upsert
      • 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
      • Reload a table segment
      • Upload a table segment
    • Indexing
      • Forward Index
      • Inverted Index
      • Star-Tree Index
      • Bloom Filter
      • Range Index
      • Native Text Index
      • Text search support
      • JSON Index
      • Geospatial
      • Timestamp Index
    • Releases
      • Apache Pinotâ„¢ 1.0.0 release notes
      • 0.12.1
      • 0.12.0
      • 0.11.0
      • 0.10.0
      • 0.9.3
      • 0.9.2
      • 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
      • GitHub Events Stream
  • For Users
    • Query
      • Querying Pinot
      • Querying JSON data
      • Query Options
      • Aggregation Functions
      • Cardinality Estimation
      • Explain Plan
      • Filtering with IdSet
      • GapFill Function For Time-Series Dataset
      • Grouping Algorithm
      • JOINs
      • Lookup UDF Join
      • Transformation Functions
      • User-Defined Functions (UDFs)
      • Window functions
    • 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
      • 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
      • 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
    • Schema
    • Ingestion Job Spec
    • Monitoring Metrics
    • Functions
      • ABS
      • ADD
      • ago
      • ARG_MIN / ARG_MAX
      • arrayConcatDouble
      • arrayConcatFloat
      • arrayConcatInt
      • arrayConcatLong
      • arrayConcatString
      • arrayContainsInt
      • arrayContainsString
      • arrayDistinctInt
      • arrayDistinctString
      • arrayIndexOfInt
      • arrayIndexOfString
      • ARRAYLENGTH
      • arrayRemoveInt
      • arrayRemoveString
      • arrayReverseInt
      • arrayReverseString
      • arraySliceInt
      • arraySliceString
      • arraySortInt
      • arraySortString
      • arrayUnionInt
      • arrayUnionString
      • AVGMV
      • Base64
      • caseWhen
      • ceil
      • CHR
      • codepoint
      • concat
      • count
      • COUNTMV
      • COVAR_POP
      • COVAR_SAMP
      • day
      • dayOfWeek
      • dayOfYear
      • DISTINCT
      • DISTINCTAVG
      • DISTINCTAVGMV
      • DISTINCTCOUNT
      • DISTINCTCOUNTBITMAP
      • DISTINCTCOUNTHLLMV
      • DISTINCTCOUNTHLL
      • DISTINCTCOUNTBITMAPMV
      • DISTINCTCOUNTMV
      • DISTINCTCOUNTRAWHLL
      • DISTINCTCOUNTRAWHLLMV
      • DISTINCTCOUNTRAWTHETASKETCH
      • DISTINCTCOUNTTHETASKETCH
      • DISTINCTSUM
      • DISTINCTSUMMV
      • DIV
      • DATETIMECONVERT
      • DATETRUNC
      • exp
      • FLOOR
      • FromDateTime
      • FromEpoch
      • FromEpochBucket
      • FUNNELCOUNT
      • Histogram
      • hour
      • isSubnetOf
      • JSONFORMAT
      • JSONPATH
      • JSONPATHARRAY
      • JSONPATHARRAYDEFAULTEMPTY
      • JSONPATHDOUBLE
      • JSONPATHLONG
      • JSONPATHSTRING
      • jsonextractkey
      • jsonextractscalar
      • 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
  • Reference
    • Single-stage query engine (v1)
    • Multi-stage query engine (v2)
  • RESOURCES
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
    • Spark-Pinot Connector
  • Contributing
    • Contribute Pinot documentation
    • Style guide
Powered by GitBook
On this page
  • 1. Tooling Installation
  • 1.1 Install Kubectl
  • 1.2 Install Helm
  • 1.3 Install Google Cloud SDK
  • 2. (Optional) Initialize Google Cloud Environment
  • 3. (Optional) Create a Kubernetes cluster(GKE) in Google Cloud
  • 4. Connect to an existing cluster
  • 5. Pinot quickstart
  • 6. Delete a Kubernetes Cluster

Was this helpful?

Export as PDF
  1. Basics
  2. Getting Started
  3. Running on public clouds

Running on GCP

This quickstart guide helps you get started running Pinot on Google Cloud Platform (GCP).

PreviousRunning on AzureNextRunning on AWS

Was this helpful?

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

Follow this link () to install helm.

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. Choose the script based on your helm version.

1.3 Install Google Cloud SDK

1.3.1 For Mac users

  • Install Google Cloud SDK

curl https://sdk.cloud.google.com | bash

Restart your shell

exec -l $SHELL

2. (Optional) Initialize Google Cloud Environment

gcloud init

3. (Optional) Create a Kubernetes cluster(GKE) in Google Cloud

This script will create a 3 node cluster named pinot-quickstart in us-west1-b with n1-standard-2 machines for demo purposes.

Modify the parameters in the following example command with your gcloud details:

GCLOUD_PROJECT=[your gcloud project name]
GCLOUD_ZONE=us-west1-b
GCLOUD_CLUSTER=pinot-quickstart
GCLOUD_MACHINE_TYPE=n1-standard-2
GCLOUD_NUM_NODES=3
gcloud container clusters create ${GCLOUD_CLUSTER} \
  --num-nodes=${GCLOUD_NUM_NODES} \
  --machine-type=${GCLOUD_MACHINE_TYPE} \
  --zone=${GCLOUD_ZONE} \
  --project=${GCLOUD_PROJECT}

Use the following command do monitor cluster status:

gcloud compute instances list

Once the cluster is in RUNNING status, it's ready to be used.

4. Connect to an existing cluster

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

GCLOUD_PROJECT=[your gcloud project name]
GCLOUD_ZONE=us-west1-b
GCLOUD_CLUSTER=pinot-quickstart
gcloud container clusters get-credentials ${GCLOUD_CLUSTER} --zone ${GCLOUD_ZONE} --project ${GCLOUD_PROJECT}

To verify the connection, run the following:

kubectl get nodes

5. Pinot quickstart

6. Delete a Kubernetes Cluster

GCLOUD_ZONE=us-west1-b
gcloud container clusters delete pinot-quickstart --zone=${GCLOUD_ZONE}

To install Google Cloud SDK, see

Follow this to deploy your Pinot demo.

Google Kubernetes Engine(GKE)
https://kubernetes.io/docs/tasks/tools/install-kubectl
https://helm.sh/docs/using_helm/#installing-helm
Install the gcloud CLI
Kubernetes quickstart