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This section provides guides and references to use the Lightdash connector. Configure and schedule Lightdash metadata and profiler workflows from the Collate UI:

Requirements

To integrate Lightdash, ensure you are using Collate version 1.2.x or higher.

Metadata Ingestion

To ingest metadata from Lightdash, you need to create a service connection. The service connects Lightdash with Collate. Once you create a service, Collate automatically starts ingesting metadata.

Step 1: Add New Service

  1. In the left navigation, click Connections.
  2. On the Connections page, click Add New Service.
Add New Service

Step 2: Select a Service and Connector

From the service type dropdown, select Dashboard Services, then click the Lightdash connector tile. Select Service

Step 3: Add Service Name and Description

  • Enter a unique, descriptive Service Name. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other Lightdash services you are ingesting metadata from.
  • Optional: Enter a Description for the service.
Add New Service Name
Note: The service name cannot be changed after it is set.

Step 4: Configure Connection Options

Specify where ingestion runs, provide your source credentials, and verify the connection.

Select Ingestion Runner

Select an Ingestion Runner: the runner where the ingestion pipeline will execute. Add Name and Select Ingestion Runner

Enter Connection Details

Enter the connection details for Lightdash. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • Host and Port: Specify the network location where your Lightdash instance is accessible, combining both hostname and port in a URI format: either http://hostname:port or https://hostname:port, based on your security needs.
    • Example: For a local setup, use http://localhost:8080. For a server deployment, use something like https://lightdash.example.com:3000.
    • Ensure the specified port is open and accessible through network firewall settings.
  • API Key: This key authenticates requests to your Lightdash instance. Keep the API Key secure, sharing it only with authorized applications or users.
  • Project UUID: This unique identifier links API requests or configurations to a specific project in Lightdash.
  • Space UUID: Identifies a specific “Space” in Lightdash, used to organize dashboards, charts, and assets.
  • Proxy Authentication: If your Lightdash instance requires authentication through a proxy server, provide proxy credentials. Proxy authentication controls access to external resources and Lightdash.
Tip: When using a Hybrid Ingestion Runner, any sensitive credential fields—such as passwords, API keys, or private keys—must reference secrets using the following format:
This applies only to fields marked as secrets in the connection form (these typically mask input and show a visibility toggle icon). For more information about managing secrets in hybrid setups, see the Hybrid Ingestion Runner Secret Management Guide

Test Connection

Once the credentials have been added, click on Test Connection and Save the changes. Test Connection

Step 5: Configure Ingestion Options

In the What to Ingest step, use filter patterns to control which assets Collate ingests from your dashboard service. Filter patterns use regular expressions applied to asset names.

How Filter Patterns Work

  • Include: Add one or more comma-separated regular expressions. Collate ingests only assets whose names match at least one expression. Leave blank to include all assets.
  • Exclude: Add one or more comma-separated regular expressions. Collate skips any asset whose name matches an expression. Leave blank to exclude nothing.
Rules match asset names using one of five expressions:
  • contains: matches any name containing the value. For example, sales matches my_sales_data and sales_2024.
  • starts with: matches names beginning with the value. For example, prod_ matches prod_db and prod_schema.
  • ends with: matches names ending with the value. For example, _raw matches events_raw and logs_raw.
  • is exactly: matches the exact name only. For example, analytics matches only analytics.
  • matches regex: matches names using a regular expression. For example, ^prod_.*_v\d+$ matches prod_events_v1.
When both Include and Exclude are set, Exclude takes priority.
Tip: Leave all filter patterns empty to ingest all dashboards, charts, and data models available in the source.
Filter Options The Dashboard, Chart, and Data Model sections each include the following filter options:
  • Dashboard: Controls which dashboards Collate ingests from the source.
  • Chart: Controls which charts within the ingested dashboards are included.
  • Data Model: Controls which data models are included in metadata ingestion.
Each section provides the following controls:
  • Scan Mode: Choose between the following scan modes:
    • Scan all: Ingests every asset of that type the connector can access. This is the default.
    • Only specific: Enables include rules so only assets matching at least one rule are ingested.
  • Exclude system toggle: Use this toggle to automatically filter out system-reserved names defined by the connector—for example, Exclude system databases for the Databases section.
  • Always exclude: Add permanent exclusion rules (shown in red). Assets matching these rules are never ingested, regardless of include rules.
  • Preview: Shows a real-time summary of what will be in scope based on your current rules.
  • Include rules (available only in Only specific mode): Click + Add to define a rule. Added rules appear as chips. An asset is included if it matches any rule.
Tip: If AutoPilot is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.

Step 6: Create & Deploy

Click Create & Deploy to deploy the agent and start the first metadata ingestion run. Collate saves the service configuration and immediately begins pulling metadata from the source. To monitor ingestion progress or view the service you just added, go to Connections in the left navigation and select your service.

Configure Metadata Agent and Schedule Ingestion

The Metadata Agent extracts dashboards, charts, data models, and other structural metadata from your source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the Agents tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps:
  1. In the left navigation, click Connections and select your service.
  2. Click the Agents tab.
  3. Click Add Agent and select Metadata from the dropdown. Add Metadata Agent For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
  4. On the Configure Ingestion page, do the following and click Next.
    • Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline. Name this Ingestion
    • Agent Setup: Configure ingestion parameters. The following fields are available: Agent Setup
    • Filter Patterns: Apply include or exclude rules to scope which dashboards, charts, data models, and projects this agent ingests. These follow the same filter options described in Step 5. Filter Patterns
    • Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs: Scope & Behaviour
  5. On the Schedule Interval page, set when the agent runs:
    • Schedule: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
    • On-Demand: No automatic schedule; trigger the agent manually when needed.
    Schedule Interval
  6. Click Add to deploy the agent.

Lineage

Lineage in Collate shows you which database tables power each dashboard. When lineage is set up, you can trace any dashboard back to the exact source tables in your database. There is no separate lineage agent or lineage pipeline — lineage is collected as part of the same metadata ingestion workflow. To enable lineage, open the Configure Metadata Agent section above, scroll to the Lineage Information section in the agent setup, and enter one or more database service names in the Db Service Prefixes field. Lineage Information Configuring Db Service Prefixes is optional but recommended — it restricts table matching to specific database services. If left blank, Collate attempts to match source tables across all ingested database services.
Tip: If your dashboards pull data from multiple database services, add each service as a separate entry in the Db Service Prefixes field.

Troubleshooting

Lightdash Troubleshooting

Learn more about how to troubleshoot common Lightdash connector issues and resolve configuration or ingestion errors.