Quick Start Examples

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This section describes quick start commands that launch all Pinot components in a single process.
Pinot ships with QuickStart commands that launch Pinot components in a single process and import pre-built datasets. These QuickStarts are a good place if you're just getting started with Pinot.
Prerequisites
You will need to have installed Pinot locally or have Docker installed if you want to use the Pinot Docker image.
macOS Monterey Users
By default the Airplay receiver server runs on port 7000, which is also the port used by the Pinot Server in the Quick Start. You may see the following error when running these examples:
Failed to start a Pinot [SERVER]
java.lang.RuntimeException: java.net.BindException: Address already in use
	at org.apache.pinot.core.transport.QueryServer.start(QueryServer.java:103) ~[pinot-all-0.9.0-jar-with-dependencies.jar:0.9.0-cf8b84e8b0d6ab62374048de586ce7da21132906]
	at org.apache.pinot.server.starter.ServerInstance.start(ServerInstance.java:158) ~[pinot-all-0.9.0-jar-with-dependencies.jar:0.9.0-cf8b84e8b0d6ab62374048de586ce7da21132906]
	at org.apache.helix.manager.zk.ParticipantManager.handleNewSession(ParticipantManager.java:110) ~[pinot-all-0.9.0-jar-with-dependencies.jar:0.9.0-cf8b84e8b0d6ab62374048de586ce7da2113
If you disable the Airplay receiver server and try again, you shouldn't see this error message anymore.
Batch
This example demonstrates how to do batch processing with Pinot. The command:
Starts Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates the baseballStats table
Launches a standalone data ingestion job that builds one segment for a given CSV data file for the baseballStats table and pushes the segment to the Pinot Controller.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type batch
./bin/pinot-admin.sh QuickStart -type batch
Batch JSON
This example demonstrates how to import and query JSON documents in Pinot. The command:
Starts Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates the githubEvents table
Launches a standalone data ingestion job that builds one segment for a given JSON data file for the githubEvents table and pushes the segment to the Pinot Controller.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type batch_json_index
./bin/pinot-admin.sh QuickStart -type batch_json_index
Batch with complex data types
This example demonstrates how to do batch processing in Pinot where the the data items have complex fields that need to be unnested. The command:
Starts Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates the githubEvents table
Launches a standalone data ingestion job that builds one segment for a given JSON data file for the githubEvents table and pushes the segment to the Pinot Controller.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type batch_json_index
./bin/pinot-admin.sh QuickStart -type batch_json_index
Streaming
This example demonstrates how to do stream processing with Pinot. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates meetupRsvp table
Launches a meetup stream
Publishes data to a Kafka topic meetupRSVPEvents that is subscribed to by Pinot.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type stream
./bin/pinot-admin.sh QuickStart -type stream
Streaming JSON
This example demonstrates how to do stream processing with JSON documents in Pinot. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates meetupRsvp table
Launches a meetup stream
Publishes data to a Kafka topic meetupRSVPEvents that is subscribed to by Pinot
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type stream_json_index
./bin/pinot-admin.sh QuickStart -type stream_json_index
Streaming with minion cleanup
This example demonstrates how to do stream processing in Pinot with RealtimeToOfflineSegmentsTask and MergeRollupTask minion tasks continuously optimizing segments as data gets ingested. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, Pinot Minion, and Pinot Server.
Creates githubEvents table
Launches a GitHub events stream
Publishes data to a Kafka topic githubEvents that is subscribed to by Pinot.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type realtime_minion
./bin/pinot-admin.sh QuickStart -type realtime_minion
Streaming with complex data types
This example demonstrates how to do stream processing in Pinot where the stream contains items that have complex fields that need to be unnested. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, Pinot Minion, and Pinot Server.
Creates meetupRsvp table
Launches a meetup stream
Publishes data to a Kafka topic meetupRSVPEvents that is subscribed to by Pinot.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type stream_complex_type
./bin/pinot-admin.sh QuickStart -type stream_complex_type
Upsert
This example demonstrates how to do stream processing with upsert with Pinot. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates meetupRsvp table
Launches a meetup stream
Publishes data to a Kafka topic meetupRSVPEvents that is subscribed to by Pinot
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type upsert
./bin/pinot-admin.sh QuickStart -type upsert
Upsert JSON
This example demonstrates how to do stream processing with upsert with JSON documents in Pinot. The command:
Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
Creates meetupRsvp table
Launches a meetup stream
Publishes data to a Kafka topic meetupRSVPEvents that is subscribed to by Pinot
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type upsert_json_index
./bin/pinot-admin.sh QuickStart -type upsert_json_index
Hybrid
This example demonstrates how to do hybrid stream and batch processing with Pinot. The command:
1.Starts Apache Kafka, Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server.
2.Creates airlineStats table
3.Launches a standalone data ingestion job that builds segments under a given directory of Avro files for the airlineStats table and pushes the segments to the Pinot Controller.
4.Launches a stream of flights stats
5.Publishes data to a Kafka topic airlineStatsEvents that is subscribed to by Pinot.
6.Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type hybrid
./bin/pinot-admin.sh QuickStart -type hybrid
Join
This example demonstrates how to do joins in Pinot using the Lookup UDF. The command:
Starts Apache Zookeeper, Pinot Controller, Pinot Broker, and Pinot Server in the same container.
Creates the baseballStats table
Launches a data ingestion job that builds one segment for a given CSV data file for the baseballStats table and pushes the segment to the Pinot Controller.
Creates the dimBaseballTeams table
Launches a data ingestion job that builds one segment for a given CSV data file for the dimBaseballStats table and pushes the segment to the Pinot Controller.
Issues sample queries to Pinot
Docker
Launcher scripts
docker run \
    -p 9000:9000 \
    apachepinot/pinot:0.9.3 QuickStart \
    -type join
./bin/pinot-admin.sh QuickStart -type join
Running Pinot in Docker
Running in Kubernetes
Last modified 8mo ago
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Outline
Batch
Batch JSON
Batch with complex data types
Streaming
Streaming JSON
Streaming with minion cleanup
Streaming with complex data types
Upsert
Upsert JSON
Hybrid
Join