Power BI Trino

A Microsoft Power BI Custom Connector for importing Trino data into Power BI to interactively transform, visualize and analyze data.

• Trino Client REST API
• Authentication
• Instructions
• Power BI Service
• Power BI Report Server
• Support
• Releases

Trino client REST API

The connector communicates directly with the Trino client REST API to retrieve data and provides some pararmeters to configure. Client timeout errors (ABANDONED_QUERY) can be fixed by changing the value of query.client.timeout in the coordinators config.properties file (the default is 5 minutes).

Authentication

The supported Power BI authentication types are Anonymous, Basic (UsernamePassword) and Organizational account (OAuth) which have been successfully tested in the following combinations with Trino:

Trino Authentication Type	Power BI Authentication Type
PASSWORD for Password file authentication	Basic
PASSWORD for LDAP authentication	Basic
OAUTH2 for OAuth 2.0 authentication	Organizational Account

Instructions

If you want to customize the connector or to use OAuth, you will need to build a .mez file yourself by following this step-by-step guide. Otherwise, for just using the connector, you can go right to step 6.

1. Install Visual Studio Code and the Power Query SDK extension.

2. Clone this repository and open the folder Trino in Visual Studio Code. (If you open the main folder of this repository, then the Power Query SDK extension won't recognise it as an extension project.)

3. (Optional) Modify the file Trino.pq as needed, for OAuth in particular the function TokenMethod. The current Trino.pq has been written for OAuth using AWS Cognito, but your particular use case may well require a different protocol. See the official documentation for more information. This post is also helpful. Note that changes made to Trino.pq may affect which files need to be created in the next step.

4. (Optional) For OAuth various files need to be created to store the configuration of your setup. The all begin with the prefix oauth_config_, which is included in .gitignore to guard against unintenionally committing credentials.

   • oauth_config_client_id.txt
     This should contain your application's Client ID. Don't commit this.

   • oauth_config_client_secret.txt
     This should contain your application's Client Secret. Really don't commit this.

   • oauth_config_authorize_uri.txt
     This should contain the URI of your authorize-endpoint. An example:

     https://<your-app>.auth.<aws-region>.amazoncognito.com/oauth2/authorize
     

   • oauth_config_scopes.txt
     This should contain the OAuth scopes. An example:

     openid
     

     Remark: It should be possible to include more than one scope (space- or comma-seprated?), but this has not been tested.

   • oauth_config_token_uri.txt.txt
     This should contain the URI of your token-endpoint. An example:

     https://<your-app>.auth.<aws-region>.amazoncognito.com/oauth2/token
     

   This information is included in .gitignore to not commit it into this public repo.

5. The .mez file now needs to be built. In the Command Palette, select "Tasks: Run Build Task" (type "> b" to find it):

   

   Then select the option to use MakePQX:

   

   If all goes well, the file Trino.mez should appear in the folder Trino\\bin\\AnyCPU\\Debug.

6. Take the pre-built .mez from this link or if customized from your debug folder and place it in your local Documents\Power BI Desktop\Custom Connectors folder, as outlined in the documentation. Once done, you should be able to see the connector listed in your "Get Data" window, restart Power BI Desktop in case it doesn't appear:

   

7. Populate the required and optional fields to communicate with your Trino environment and hit OK to either scan your objects or to execute a specific SQL query if provided:

   

8. Choose the desired authentication mechanism:

   

9. Choose the desired objects you want to import and click "Load" if you want to import data directly. Clicking "Transform Data" allows you to transform data before actually importing it into the analytical storage engine:

   

Power BI Service

To support end-to-end refresh through the Power BI Service on the cloud, it requires you to setup an on-premise data gateway. Once the connector is officially supported, this is not required anymore.

Power BI Report Server

Custom connectors are currently not supported in Power BI Report Server environments. You can find a list of all supported data sources here.

Support

In case you encounter any issues while installing or loading data, just open an issue or feel free to reach out to [email protected].

Releases

July 2024

• 2024-07-21: Supporting structural data types including ARRAY, MAP, ROW, and JSON

April 2024

• 2024-04-04: Optimizing data type conversion for date and time

February 2024

• 2024-02-07: Native SQL Query parameter added

April 2023

• 2023-04-26: OAuth added

October 2021

• 2021-10-15: First Release