Trino Connector

• Requirements
• Iceberg Table Support
• Metadata Ingestion
• Lineage
• Data Profiler
• Data Quality
• dbt Integration
• Troubleshooting
• Reverse Metadata

​

Requirements

​

Metadata

​

Profiler and Data Quality

​

Iceberg Table Support

​

How Table Classification Works

• Collate inspects catalog metadata to identify whether the configured catalog is backed by the Iceberg connector.
• Tables from Iceberg-backed catalogs are classified in Collate as Iceberg.

​

Access requirements

• Catalog permissions: Grant access to list catalogs and read system metadata used by Trino for connector discovery.
• File system permissions: Direct object storage write permissions are not required for metadata ingestion. Keep read access aligned with your configured Iceberg catalog and storage policies.

​

Metadata Ingestion

​

Step 1: Add New Service

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

​

Step 2: Select a Service and Connector

​

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

​

Step 4: Configure Connection Options

​

Select Ingestion Runner

​

Enter Connection Details

password: secret:/my/database/password

• Username: Specify the User to connect to Trino. It should have enough privileges to read all the metadata.
• Auth Config: User can authenticate the Trino Instance with auth type as Basic Authentication, using a Password, or by using JWT Authentication.
  • Basic Auth:
    • Password: Password to connect to Trino.
  • JWT Auth Config:
    • JWT: JWT can be used to authenticate with trino. Follow the steps in the official trino documentation to setup trino with jwt.
  • Azure:
    • Client ID: To get the Client ID (also known as application ID), follow these steps:
      1. Log into Microsoft Azure.
      2. Search for App registrations and select the App registrations link.
      3. Select the Azure AD app you’re using for Trino.
      4. From the Overview section, copy the Application (client) ID.
    • Client Secret: To get the client secret, follow these steps:
      1. Log into Microsoft Azure.
      2. Search for App registrations and select the App registrations link.
      3. Select the Azure AD app you’re using for Trino.
      4. Under Manage, select Certificates & secrets.
      5. Under Client secrets, select New client secret.
      6. In the Add a client secret pop-up window, provide a description for your application secret. Choose when the application should expire, and select Add.
      7. From the Client secrets section, copy the string in the Value column of the newly created application secret.
    • Tenant ID: To get the tenant ID, follow these steps:
      1. Log into Microsoft Azure.
      2. Search for App registrations and select the App registrations link.
      3. Select the Azure AD app you’re using for Trino.
      4. From the Overview section, copy the Directory (tenant) ID.
    • Scopes: To let Collate use the Trino Auth APIs using your Azure AD app, you’ll need to add the scope
      1. Log into Microsoft Azure.
      2. Search for App registrations and select the App registrations link.
      3. Select the Azure AD app you’re using for Trino.
      4. From the Expose an API section, copy the Application ID URI
      5. Make sure the URI ends with /.default in case it does not, you can append the same manually
• Host and Port: Enter the fully qualified hostname and port number for your Trino deployment in the Host and Port field.
• Catalog: Trino offers a catalog feature where all the databases are stored.
• DatabaseSchema: DatabaseSchema of the data source. This is optional parameter, if you would like to restrict the metadata reading to a single databaseSchema. When left blank, Collate ingestion attempts to scan all schemas.
• proxies: Proxies for the connection to Trino data source
• params: URL parameters for connection to the Trino data source
• Connection Options (Optional): Enter the details for any additional connection options that can be sent to Trino during the connection. These details must be added as Key-Value pairs.
• Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Trino during the connection. These details must be added as Key-Value pairs.
  • In case you are using Single-Sign-On (SSO) for authentication, add the authenticator details in the Connection Arguments as a Key-Value pair as follows: "authenticator" : "sso_login_url"

​

SSL Configuration

​

SSL Modes

• false: In order to disable SSL verification, set the verify parameter to False.
• <path-to-crt>: To use self-signed certificates, specify a path to the certificate in verify parameter. Find more details in the Python requests library documentation.

​

Advanced Configuration

• Connection Options (Optional): Enter the details for any additional connection options that can be sent to database during the connection. These details must be added as Key-Value pairs.
• Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent during the connection. These details must be added as Key-Value pairs.

​

Test Connection

​

Step 5: Configure Ingestion Options

​

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.

• 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.

• Database: Controls which databases Collate ingests from the source.
• Schema: Controls which schemas within the ingested databases are included.
• Table: Controls which tables and views within the ingested schemas are included.
• Stored Procedure: Controls which stored procedures are included in metadata ingestion.

• Scan Mode: You can 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.

​

Step 6: Create & Deploy

​

Configure Metadata Agent and Schedule Ingestion

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. 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 core parameters for metadata extraction. The following fields are available:

     Field	Default	Description
     Default Owner	—	Owner applied to all entities when no specific level owner is configured. Accepts a user or team name/email.
     Service Owner	—	Owner assigned to the service entity.
     Database Owner	—	Owner assigned to all ingested databases. Accepts a single owner or a per-database name mapping.
     Database Schema Owner	—	Owner assigned to all ingested schemas. Accepts a single owner or a per-schema name mapping.
     Table Owner	—	Owner assigned to all ingested tables. Accepts a single owner or a per-table name mapping.
     Enable Inheritance	On	When on, child entities inherit the owner from their parent when they have no owner configured.
     Query Log Duration	1	Number of days to look back in query logs when processing stored procedure results.
     Query Parsing Timeout Limit	300	Timeout in seconds for parsing a single query.
     Number of Threads	1	Number of threads to use for parallel table ingestion.
     Incremental Extraction	Off	When enabled, subsequent runs only extract entities changed since the last successful run.
     Successful Pipeline Run Lookback Days	7	Number of days to search back for a prior successful run to use as a baseline for incremental extraction.
     Safety Margin Days	1	Additional days added to the baseline timestamp as a buffer for incremental extraction.
     JSON Schema Sample Size	10	Number of rows sampled to infer JSON column schema. Only applies when Extract JSON Schema is enabled in Advanced Config.

     
   • Filter Patterns: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. For more information about various filter options, see Step 5: Configure Ingestion Options.
   • Scope & Behaviour: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:

     Toggle	Default	Description
     Include Tables	On	Ingest table metadata from the source. Turn off to skip tables entirely.
     Include Tags	On	Ingest tags from the source.
     Include Stored Procedures	On	Ingest stored procedure metadata.
     Include DDL Statements	Off	Ingest DDL statements alongside table metadata.
     Include Owners	Off	Assign owners to ingested entities when the source owner’s email matches a user in Collate. Does not overwrite an existing owner.
     Include Custom Properties	Off	Ingest connector-specific custom properties onto entities.
     Mark Deleted Tables	On	Soft-delete tables in Collate when they are removed from the source. Applies only within the currently ingested schema.
     Mark Deleted Stored Procedures	On	Soft-delete stored procedures in Collate when they are removed from the source.
     Mark Deleted Schemas	Off	Soft-delete schemas and all their child assets when removed from the source.
     Mark Deleted Databases	Off	Soft-delete databases and all their child assets when removed 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.
     Enable Debug Log	Off	Sets the ingestion log level to DEBUG. Useful for troubleshooting.

     Note: Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.
     
   • Advanced Config: Optional connector-specific settings such as Include Views and Extract JSON Schema.
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.

​

Reverse Metadata

• Description Management: Trino supports description updates at the following levels:
  • Table level
  • Column level
• Owner Management: Owner management is not supported for Trino.
• Tag Management: Tag management is not supported for Trino.
• Custom SQL Template: Trino supports custom SQL templates for metadata changes. The template is interpreted using python f-strings. Here are examples of custom SQL queries for metadata changes:
  -- Update table description
  COMMENT ON TABLE "{database}"."{schema}"."{table}" IS {description}
  
  The list of variables for custom SQL can be found here.

​

Troubleshooting