ThoughtSpot Connector | Collate Integration Guide

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

• Requirements
• Metadata Ingestion
• Lineage
• Troubleshooting

​

Requirements

To access the ThoughtSpot APIs and import liveboards, charts, and data models from ThoughtSpot into Collate, you need appropriate permissions on your ThoughtSpot instance.

​

ThoughtSpot Account Setup and Permissions

1. Authentication Setup ThoughtSpot supports multiple authentication methods:
   • Basic Authentication: Username and password authentication. The user should have appropriate permissions to read metadata from ThoughtSpot.
   • API Token Authentication: Use ThoughtSpot API tokens for authentication. Generate API tokens from your ThoughtSpot instance.
2. API Permissions Ensure your ThoughtSpot user or service account has the following permissions:
   • Read access to liveboards and answers
   • Read access to worksheets and data models
   • Access to metadata APIs
   • Export permissions for TML (ThoughtSpot Modeling Language) data
3. Multi-tenant Configuration (Optional) If you’re using ThoughtSpot Cloud with multiple organizations:
   • Set the Organization ID parameter to specify which organization to connect to (only for ThoughtSpot Cloud).

​

Metadata Ingestion

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

​

Step 1: Add New Service

Open the Services page and start a new service.

1. Navigate to Settings > Services and select Dashboard Services.
2. Click Add New Service.

​

Step 2: Select a Service and Connector

From the service type dropdown, select Dashboard Services, then click the ThoughtSpot connector tile.

​

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 ThoughtSpot services you are ingesting metadata from.
• Optional: Enter a Description for the service.

​

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.

​

Enter Connection Details

Enter the connection details for ThoughtSpot. The right-hand panel in the UI displays inline help for each field.

• Host and Port: The URL of your ThoughtSpot instance. Examples:
  • Cloud: https://my-company.thoughtspot.cloud
  • On-premise: https://thoughtspot.company.com
  • Local: https://localhost If running ingestion in Docker and ThoughtSpot is on localhost, use host.docker.internal.
• Authentication: Choose one of the following:
  • Basic Authentication:
    • Username: Your ThoughtSpot username
    • Password: Your ThoughtSpot password
  • API Token Authentication:
    • API Token: Your ThoughtSpot API token
• API Version: The ThoughtSpot API version to use for metadata extraction.
  • v1: Legacy API version (callosum endpoints)
  • v2: Current API version (recommended, default)
• Organization ID: For multi-tenant ThoughtSpot Cloud deployments.
  • Leave empty for single-tenant
  • Set to your org ID for multi-tenant

​

Test Connection

1. Click Test Connection to verify the credentials.
2. After the test succeeds, click Save.

​

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 rules match asset names using the following match types.

​

How Filter Patterns Work

• Include: Add one or more comma-separated values. Each value uses one of the following match types. Collate ingests only assets whose names match at least one rule. Leave blank to include all assets.
• Exclude: Add one or more comma-separated values. Each value uses one of the following match types. Collate skips any asset whose name matches a rule. Leave blank to exclude nothing.

Rules match asset names using one of five match types:

• 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.

​

Filter Options

The Dashboard and Chart 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.

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 filter out system-reserved names defined by the connector for that asset type.
• 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: In Only specific mode, click + Add to define a rule. Added rules appear as chips. An asset is included if it matches any rule.

​

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 Settings > Services 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. Navigate to Settings > Services and select the Dashboards service.
2. Select your service and click the Agents tab.
3. Click Add Agent and select Metadata from the dropdown. 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.
   • Agent Setup: Configure ingestion parameters. The following fields are available:

     Field	Default	Description
     Db Service Prefixes	—	List of database service name prefixes used to resolve lineage between dashboards and database assets. Accepted formats: DBService, DBService.Database, DBService.Database.Schema, DBService.Database.Schema.Table.
     Query Parser Type	Auto	Select the SQL parser used for lineage extraction from dashboard queries. Auto selects the best available parser automatically. SqlGlot is a high-performance parser with excellent dialect support; falls back to SqlParse on failure. SqlFluff is a comprehensive parser with strong dialect support; falls back to SqlParse on failure.
     Mark Deleted Dashboards	On	Soft-delete dashboards in Collate when they are removed from the source. Associated lineage is also deleted.
     Mark Deleted Data Models	On	Soft-delete data models in Collate when they are removed from the source. Associated lineage is also deleted.
     Mark Deleted Charts	On	Soft-delete charts in Collate when they are removed from the source.
     Include Data Models	On	Ingest data model metadata.
     Include Draft Dashboards	On	Ingest dashboards that are in draft state.
     Include Usage	On	Collect and ingest usage statistics for dashboards.

     
   • 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.
   • Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:

     Toggle	Default	Description
     Enable Debug Log	Off	Sets the ingestion log level to DEBUG. Useful for troubleshooting.
     Include Current Owners	Off	When enabled, replaces the current owner with a new owner from the source if the current owner is null. Recommended to keep enabled during the first metadata ingestion to capture owner information.
     Include Tags	On	Ingest tags from the source.
     Override Metadata	Off	When on, source values overwrite existing descriptions, tags, owners, and display names in Collate. When off, Collate only updates fields that have no existing value.
     Override Lineage	Off	When on, existing lineage is replaced with newly extracted lineage on each run.

     
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.
   
6. Click Add to deploy the agent.

​

Lineage

​

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. Configuring the Db Service Prefixes field (covered below) 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.

​

How to Set Up Lineage

1. Go to Settings > Services > Dashboards.
2. Click the dashboard service you’ve added.
3. Go to the Agents tab, then select Add Agent > Add Metadata Agent. If a metadata agent already exists, select the three-dot context menu (⋮) next to it and select Edit.
4. In the Configure Ingestion step, scroll down to the Lineage Information section.
5. Optionally enter one or more database service names in the Db Service Prefixes field to restrict table matching to specific services. If left blank, Collate searches across all ingested database services.

The Db Service Prefixes field helps Collate locate the source tables and draw the lineage path from table to dashboard. Examples of valid entries:

​

Troubleshooting