Trino Engine
This section explains how to create, configure, and test a Trino Engine data source in DataDios.
Steps to Create and Test a Trino Data Source
Step 1: Create a Data Source
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Navigate to the Data Sources tab in DataDios
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Click + CREATE DS
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From the list of available data source types, select Trino Engine

Step 2: Fill Connection Details
In the Connection Details form, provide the required parameters:
- Group: (Optional) Grouping for data sources
- Host: Trino host or IP address
- Port: Trino port (default:
8080) - User: Trino login username
- Catalog: Catalog to connect to (comma separated catalogs if multiple)
- Schema: Target schema (leave blank to use the default schema)
- Is JMX enabled: Choose Yes if JMX monitoring is enabled on the Trino server and will be used for workload extraction
- JMX Port: JMX port number (default:
9010) - Schedule Sync: Configure for metadata timeline synchronization (see Metadata Timeline)
- JSON Structure
{
"group": "",
"host": "",
"port": "8080",
"service_type": "",
"user": "trino-user",
"catalog": "mysql,postgresql",
"schema": "",
"object_types": "",
"password": "Admin@123"
}
Step 3: Test Connection
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After entering details, click Test Connection
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Ensure the connection is validated successfully

Step 4: Save Data Source
- If the test succeeds, click Create to save the data source
- You will be redirected to the Datasource Listing Page, where the Trino data source will appear
Step 5: Explore Data Source Items
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Expand the Trino data source to view all items (catalogs, tables, views, etc.)

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To view metadata about any item:
- Click the item name
- Click the three stacked lines icon to open the Object Metadata pop-up

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You can also explore additional features in the Metadata Explorer:
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Object Data
- View the actual data present in the selected resource (e.g., table rows or file details)

- View the actual data present in the selected resource (e.g., table rows or file details)
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Graphs
- Visualize dependencies and relationships across schemas
- See how the item is connected to databases or other schema objects

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You can also use below additional features
- Data Quality
- Define and monitor data quality rules for the selected database object.
- For detailed information, refer to the Data Quality documentation
- Metadata Timeline
- View changes over time for the selected database object
- For detailed information, refer to the Metadata Timeline
- AI Studio
- Explore and query data using natural language with AI assistance
- For detailed information, refer to the AI Studio documentation
- Data Quality
Best Practices
- Always Test Connection before saving to ensure configuration is correct
2Organize with Groups for easier management of multiple Trino data sources - Leverage Schedule Sync to keep metadata timelines updated