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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
  • Start Superset with Docker Image
  • Advanced Setup
  • Adding Pinot Database
  • Adding Pinot Table
  • Configuring time column
  • Adding a derived column

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  1. Integrations

Superset

Integrate with Superset

PreviousThirdEyeNextPresto

Last updated 3 years ago

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Start Superset with Docker Image

Start running with pre-built Superset Pinot connector.

1. Run below command to start a standalone Superset deployment

docker run \
  --network pinot-demo \
  --name=superset \
  -p 8088:8088 \
  -d apachepinot/pinot-superset:latest

2.1. (First time) Setup Admin account by running below command and follow instructions to set password.

docker exec -it superset superset fab create-admin \
               --username admin \
               --firstname Superset \
               --lastname Admin \
               --email admin@superset.com \
               --password admin

2.2. (First time) DB upgrade and Initialize Superset

docker exec -it superset superset db upgrade
docker exec -it superset superset init

3. Import Pre-defined Pinot Datasources and Dashboard

docker exec \
    -t superset \
    bash -c 'superset import_datasources -p /etc/examples/pinot/pinot_example_datasource_quickstart.yaml && \
             superset import_dashboards -p /etc/examples/pinot/pinot_example_dashboard.json'

Advanced Setup

Adding Pinot Database

In order to add Pinot cluster as a database, a SQLAlchemy URI is required.

The format of URI is:

pinot://<pinot-broker-host>:<pinot-broker-port><pinot-broker-path>?controller=<pinot-controller-host>:<pinot-controller-port>

E.g.

pinot://pinot-broker:8099/query/sql?controller=http://pinot-controller:9000/

Below is an example for the QuickStart cluster, you can click TEST CONNECTION button to check if Pinot cluster is successfully connected.

Adding Pinot Table

User can add an existing table into Superset:

User can edit table/column definition by clicking the edit button left to the table name.

Configuring time column

User can configure an existing column mergedTimeMillis as temporal and set Datetime Format accordingly.

Adding a derived column

User can also add a new column by setting the expression.

Another example:

4. Go to SuperSet UI: to play around with dashboard.

Superset Image
http://localhost:8088/
Add Pinot cluster as a new Database
Add Table Definition
Table Definition
Configure time column
Add a simple derived column
Add a derived column with Pinot UDFs