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  • Introduction
  • Basics
    • Concepts
    • Architecture
    • Components
      • Cluster
      • Controller
      • Broker
      • Server
      • Minion
      • Tenant
      • Schema
      • Table
      • Segment
      • Deep Store
      • 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
      • Batch Ingestion
        • Spark
        • Hadoop
        • Backfill Data
        • Dimension Table
      • Stream ingestion
        • Apache Kafka
        • Amazon Kinesis
        • Apache Pulsar
      • Stream Ingestion with Upsert
      • File Systems
        • Amazon S3
        • Azure Data Lake Storage
        • HDFS
        • Google Cloud Storage
      • Input formats
      • Complex Type (Array, Map) Handling
    • Indexing
      • Forward Index
      • Inverted Index
      • Star-Tree Index
      • Bloom Filter
      • Range Index
      • Text search support
      • JSON Index
      • Geospatial
      • Timestamp Index
    • Releases
      • 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
      • Filtering with IdSet
      • Transformation Functions
      • Aggregation Functions
      • User-Defined Functions (UDFs)
      • Cardinality Estimation
      • Lookup UDF Join
      • Querying JSON data
      • Explain Plan
      • Grouping Algorithm
    • APIs
      • Broker Query API
        • Query Response Format
      • Controller Admin API
    • 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 Transformations
      • Null Value Support
      • 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
      • Setup cluster
      • Setup table
      • Setup ingestion
      • Decoupling Controller from the Data Path
      • Segment Assignment
      • Instance Assignment
      • Rebalance
        • Rebalance Servers
        • Rebalance Brokers
      • Tiered Storage
      • Pinot managed Offline flows
      • Minion merge rollup task
      • Access Control
      • Monitoring
      • Tuning
        • Realtime
        • Routing
      • Upgrading Pinot with confidence
    • Command-Line Interface (CLI)
    • Configuration Recommendation Engine
    • Tutorials
      • Authentication, Authorization, and ACLs
      • Configuring TLS/SSL
      • Build Docker Images
      • Running Pinot in Production
      • Kubernetes Deployment
      • Amazon EKS (Kafka)
      • Amazon MSK (Kafka)
      • Monitor Pinot using Prometheus and Grafana
  • Configuration Reference
    • Cluster
    • Controller
    • Broker
    • Server
    • Table
    • Schema
    • Ingestion Job Spec
    • Functions
      • ABS
      • ADD
      • arrayConcatInt
      • arrayConcatString
      • arrayContainsInt
      • arrayContainsString
      • arrayDistinctString
      • arrayDistinctInt
      • arrayIndexOfInt
      • arrayIndexOfString
      • ARRAYLENGTH
      • arrayRemoveInt
      • arrayRemoveString
      • arrayReverseInt
      • arrayReverseString
      • arraySliceInt
      • arraySliceString
      • arraySortInt
      • arraySortString
      • arrayUnionInt
      • arrayUnionString
      • AVGMV
      • ceil
      • CHR
      • codepoint
      • concat
      • count
      • COUNTMV
      • day
      • dayOfWeek
      • dayOfYear
      • DISTINCT
      • DISTINCTCOUNT
      • DISTINCTCOUNTBITMAP
      • DISTINCTCOUNTBITMAPMV
      • DISTINCTCOUNTHLL
      • DISTINCTCOUNTHLLMV
      • DISTINCTCOUNTMV
      • DISTINCTCOUNTRAWHLL
      • DISTINCTCOUNTRAWHLLMV
      • DISTINCTCOUNTRAWTHETASKETCH
      • DISTINCTCOUNTTHETASKETCH
      • DIV
      • DATETIMECONVERT
      • DATETRUNC
      • exp
      • FLOOR
      • FromDateTime
      • FromEpoch
      • FromEpochBucket
      • hour
      • 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
      • quarter
      • regexpExtract
      • remove
      • replace
      • reverse
      • round
      • 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
      • VALUEIN
      • week
      • year
      • yearOfWeek
  • RESOURCES
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
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On this page
  • Dev Environment Setup
  • Git
  • Getting the Source Code
  • Maven
  • Setup IDE
  • Starting Pinot via IDE

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  1. For Developers
  2. Basics

Code Setup

PreviousContribution GuidelinesNextCode Modules and Organization

Last updated 3 years ago

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Dev Environment Setup

To contribute to Pinot, please follow the instructions below.

Git

Pinot uses git for source code management. If you are new to Git, it will be good to review of Git and a common tasks like and .

Getting the Source Code

Create a fork

To limit the number of branches created on the Apache Pinot repository, we recommend that you create a fork by clicking on the fork button . Read more about

Clone the repository locally

$ mkdir workspace
$ cd workspace
$ git clone git@github.com:<github username>/pinot.git
$ cd pinot
# set upstream
$ git remote add upstream https://github.com/apache/pinot
# check that the upstream shows up correctly
$ git remote -v

Maven

Run the following maven command to setup the project.

# compile, download sources
$mvn install package -DskipTests -Pbin-dist -DdownloadSources -DdownloadJavadocs

Setup IDE

Intellij

To import the Pinot stylesheet this launch intellij and navigate to Preferences (on Mac) or Settings on Linux.

  • Navigate to Editor -> Code Style -> Java

  • Select Import Scheme -> Intellij IDES code style XML

  • Choose codestyle-intellij.xml from pinot/config folder of your workspace. Click Apply.

Eclipse

To import the Pinot stylesheet this launch eclipse and navigate to Preferences (on Mac) or Settings on Linux.

  • Navigate to Java->Code Style->Formatter

  • Choose codestyle-eclipse.xml from pinot/config folder of your workspace. Click Apply.

Starting Pinot via IDE

Batch Quickstart

  • start all Pinot components (ZK, Controller, Server, Broker) in the same JVM

  • create Baseball Stats table

Go to localhost:9000 in your browser and play with the query console.

Realtime Quickstart

  • start all Pinot components (ZK, Controller, Server, Broker) in the same JVM

  • Start Kafka in the same JVM

  • create MeetUpRSVP table.

  • Live stream meetup events into Kafka

Go to localhost:9000 in your browser and play with the meetup RSVP table.

Pinot is a Maven project and familiarity with Maven will help you work with Pinot code. If you are new to Maven, you can read about Maven and .

Import the project into your favorite IDE. Setup stylesheet according to your IDE. We have provided instructions for intellij and eclipse. If you are using other IDEs, please ensure you use stylesheet based on .

Once the IDE is set up, you can run for batch mode or for realtime mode.

basics
managing branches
rebasing
in this page
fork workflow here
here
get a quick overview here
this
Batch QuickStart
Realtime QuickStart