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Quick Start Examples

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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 QuickStart \
    -type batch_json_index

Batch with complex data types

This example demonstrates how to do batch processing in Pinot where 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 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 run \
    -p 9000:9000 \
    apachepinot/pinot:0.11.0 QuickStart \
    -type join
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