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  • Pinot Batch Ingestion
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  1. Basics

Import Data

This section is an overview of the various options for importing data into Pinot.

PreviousOperations FAQNextFrom Query Console

Last updated 2 years ago

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There are multiple options for importing data into Pinot. These guides are ready-made examples that show you step-by-step instructions for importing records into Pinot, supported by our .

These guides are meant to get you up and running with imported data as quick as possible. Pinot supports multiple file input formats without needing to change anything other than the file name. Each example imports a ready-made dataset so you can see how things work without needing to bring your own dataset.

Pinot Batch Ingestion

Pinot Stream Ingestion

This guide will show you how to import data using stream ingestion from Apache Kafka topics.

This guide will show you how to import data using stream ingestion with upsert.

This guide will show you how to import data using stream ingestion with deduplication.

This guide will show you how to import data using stream ingestion with CLP.

Pinot File Systems

These guides will show you how to import data as well as persist it in the file systems.

Pinot Input Formats

These guides will show you how to import data from a Pinot supported input format.

This guide will show you how to handle the complex type in the ingested data, such as map and array.

By default, Pinot does not come with a storage layer, so all the data sent, won't be stored in case of system crash. In order to persistently store the generated segments, you will need to change controller and server configs to add a deep storage. Checkout for all the info and related configs.

plugin architecture
Spark
Hadoop
Apache Kafka
Stream Ingestion with Upsert
Stream Ingestion with Dedup
Stream Ingestion with CLP
File systems
Amazon S3
Azure Data Lake Storage
Google Cloud Storage
HDFS
Input formats
Complex Type (Array, Map) Handling