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Redpanda

Redpanda

PROD
In this section, we provide guides and references to use the Redpanda connector. Configure and schedule Redpanda metadata and profiler workflows from the OpenMetadata UI:

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How to Run the Connector Externally

To run the Ingestion via the UI you’ll need to use the OpenMetadata Ingestion Container, which comes shipped with custom Airflow plugins to handle the workflow deployment. If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check the following docs to run the Ingestion Framework anywhere.

External Schedulers

Get more information about running the Ingestion Framework Externally

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Requirements

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Python Requirements

We have support for Python versions 3.9-3.11
To run the Redpanda ingestion, you will need to install: 
pip3 install "openmetadata-ingestion[redpanda]"

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Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to Redpanda. In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server. The workflow is modeled around the following JSON Schema

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1. Define the YAML Config

This is a sample config for Redpanda:

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Source Configuration - Source Config

The sourceConfig is defined here:
generateSampleData: Option to turn on/off generating sample data during metadata extraction.
topicFilterPattern: Note that the topicFilterPattern supports regex as include or exclude.
generateSampleData: Option to turn on/off generating sample data during metadata extraction. generateSampleData supports boolean value either true or false.
markDeletedTopics: Optional configuration to soft delete topics in OpenMetadata if the source topics are deleted. Also, if the topic is deleted, all the associated entities like sample data, lineage, etc., with that topic will be deleted. markDeletedTopics supports boolean value either true or false.
overrideMetadata: Set the ‘Override Metadata’ toggle to control whether to override the existing metadata in the OpenMetadata server with the metadata fetched from the source. If the toggle is set to true, the metadata fetched from the source will override the existing metadata in the OpenMetadata server. If the toggle is set to false, the metadata fetched from the source will not override the existing metadata in the OpenMetadata server. This is applicable for fields like description, tags, owner and displayName. overrideMetadata supports boolean value either true or false.
To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest.
The main property here is the openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.
Logger LevelYou can specify the loggerLevel depending on your needs. If you are trying to troubleshoot an ingestion, running with DEBUG will give you far more traces for identifying issues.
JWT TokenJWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details here.You can refer to the JWT Troubleshooting section link for any issues in your JWT configuration.
Store Service ConnectionIf set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won’t be sent to the OpenMetadata server.
SSL ConfigurationIf you have added SSL to the OpenMetadata server, then you will need to handle the certificates when running the ingestion too. You can either set verifySSL to ignore, or have it as validate, which will require you to set the sslConfig.caCertificate with a local path where your ingestion runs that points to the server certificate file.Find more information on how to troubleshoot SSL issues here.
ingestionPipelineFQNFully qualified name of ingestion pipeline, used to identify the current ingestion pipeline.

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2. Run with the CLI

First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run: 
metadata ingest -c <path-to-yaml>
Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration, you will be able to extract metadata from different sources.