StarRocks Connector

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

• Requirements
• Iceberg Table Support
• Metadata Ingestion
• Data Profiler
• Data Quality
• Troubleshooting

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Requirements

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Metadata

To extract metadata from StarRocks, the user needs to have:

• Valid credentials (username and password) with appropriate permissions
• Access to the StarRocks FE (Frontend) host and query port
• Privileges to read all the metadata in StarRocks

The user should be able to:

• Authenticate against the StarRocks FE node
• Query schemas and tables via the MySQL-compatible interface
• Read table definitions, column types, and view definitions

You can find more details about StarRocks authentication in the official StarRocks documentation.

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Profiler and Data Quality

Executing the profiler workflow or data quality tests will require the user to have SELECT permission on the tables where the profiler/tests will be executed. More information on the profiler workflow setup can be found here and data quality tests here.

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Iceberg Table Support

StarRocks supports Iceberg table ingestion in Collate through engine metadata mapping.

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How Table Classification Works

• Collate reads table engine metadata from StarRocks system metadata.
• Tables whose engine resolves to ICEBERG are classified in Collate as Iceberg.

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Access requirements

• Catalog permissions: Grant read access to database, table, and column metadata in the target StarRocks instance.
• File system permissions: Direct object storage write permissions are not required for metadata ingestion. Keep read access aligned with your external table and engine configuration.

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Metadata Ingestion

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

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Step 1: Add New Service

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

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Step 2: Select a Service and Connector

From the service type dropdown, select Database Services, then click the StarRocks connector tile.

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

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Step 4: Configure Connection Options

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

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Select Ingestion Runner

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

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Enter Connection Details

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

• Scheme: SQLAlchemy driver scheme options. Defaults to mysql+pymysql.
  • Username: Username to connect to StarRocks. This user should have privileges to read all the metadata in StarRocks.
  • Password: Password to connect to StarRocks.
  • Host and Port: Host and port of the StarRocks FE service (e.g., localhost:9030).
  • Database Name (Optional): Name to give to the database in Collate. If left blank, default will be used.
  • Database Schema (Optional): Restrict metadata reading to a single schema. When left blank, Collate scans all schemas.
  • SSL Config (Optional): SSL certificate configuration for secure connections.
  • Schema Filter Pattern (Optional): Regex to only include/exclude schemas that match the pattern. System schemas (information_schema, _statistics_, sys) are excluded by default.
  • Table Filter Pattern (Optional): Regex to only include/exclude tables that match the pattern.
  • Database Filter Pattern (Optional): Regex to only include/exclude databases that match the pattern.

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Advanced Configuration

Database Services have an Advanced Configuration section, where you can pass extra arguments to the connector and, if needed, change the connection Scheme. This would only be required to handle advanced connectivity scenarios or customizations.

• 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.

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Test Connection

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

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Step 5: Configure Ingestion Options

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

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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. Filter Options The Database, Schema, Table, and Stored Procedure sections each include the following filter options:

• 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.

Each section provides the following controls:

• 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.

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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.

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Configure Metadata Agent and Schedule Ingestion

The Metadata Agent extracts schemas, tables, columns, 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. 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.

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Troubleshooting