DataHubDebug

Overview

DataHub Debug is a DataHub utility or metadata-focused integration. Learn more in the official DataHub Debug documentation.

The DataHub integration for DataHub Debug covers metadata entities and operational objects relevant to this connector. It is a diagnostic utility for inspecting DataHub state and does not import additional source metadata.

Concept Mapping

Source Concept	DataHub Concept	Notes
Debug query/input	DataHub entity/aspect inspection	Reads metadata for diagnostics.
Diagnostic output	Operational debugging signal	Used for troubleshooting and validation, not catalog enrichment.

Module datahub-debug

Important Capabilities

Capability metadata is not explicitly declared for this module. Refer to module documentation and configuration sections below.

Overview

The datahub-debug module provides targeted debugging and inspection capabilities for DataHub metadata operations.

Prerequisites

• Access to the DataHub instance being inspected.
• Authentication with sufficient read permissions on entities/aspects involved in debugging.

Install the Plugin

pip install 'acryl-datahub[datahub-debug]'

Starter Recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
  type: datahub-debug
  config: {}

sink:
  # sink configs

Config Details

Options

Note that a . is used to denote nested fields in the YAML recipe.

Field	Description
dns_probe_url One of string, null	Default: None

Schema

The JSONSchema for this configuration is inlined below.

{
  "additionalProperties": false,
  "properties": {
    "dns_probe_url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Dns Probe Url"
    }
  },
  "title": "DataHubDebugSourceConfig",
  "type": "object"
}

Capabilities

Use the Important Capabilities table above as the source of truth. This module is intended for diagnostics and validation workflows.

Limitations

• This module is not a general external-source ingestion connector.
• Output is intended for debugging workflows and may require interpretation by platform operators.

Troubleshooting

• Confirm authentication and API connectivity to the target DataHub environment.
• Scope debug requests narrowly first, then expand once the expected output is validated.
• Use ingestion logs to identify permission or query errors.

Code Coordinates

• Class Name: datahub.ingestion.source.debug.datahub_debug.DataHubDebugSource
• Browse on GitHub

Questions?

If you've got any questions on configuring ingestion for DataHubDebug, feel free to ping us on our Slack.

💡 Contributing to this documentation

This page is auto-generated from the underlying source code. To make changes, please edit the relevant source files in the metadata-ingestion directory.

Tip: For quick typo fixes or documentation updates, you can click the ✏️ Edit icon directly in the GitHub UI to open a Pull Request. For larger changes and PR naming conventions, please refer to our Contributing Guide.