title: "Integrating Trino Editor in Hue: Supporting Data Mesh and SQL Federation" author: Hue Team type: post date: 2024-06-26T00:00:00+00:00 url: /blog/2024-06-26-integrating-trino-editor-in-hue-supporting-data-mesh-and-SQL-federation sf_thumbnail_type:
Hello Everyone!
Hue Editor, the open-source SQL Assistant for querying databases and data warehouses, is now extending its support to Trino. This integration marks a significant step in enhancing data mesh and SQL federation capabilities.
Trino is a powerful tool for querying massive datasets, particularly useful for those dealing with terabytes or petabytes of data. Unlike traditional tools that rely on MapReduce jobs, Trino efficiently handles distributed queries across various data sources, including Hadoop's HDFS, relational databases, and NoSQL systems like Cassandra. It's designed for data warehousing and analytics, making it ideal for tasks such as data analysis and report generation. Trino continues to be developed independently by its community and offers robust support for querying large datasets.
To support Trino in Hue, we're leveraging the official Trino Python client. This client provides a robust and efficient way to connect to Trino databases using the DBAPI. By integrating this client, we ensure better compatibility, ongoing support, and access to extensive documentation, facilitating seamless querying and data analysis capabilities within the Hue environment.
To configure the Trino editor in Hue, update the hue.ini file as follows:
[notebook]
[[interpreters]]
[[[trino]]]
name=Trino
interface=trino
options='{"url": "http://localhost:8080", "auth_username": "", "auth_password":""}'
Note: Currently, only basic LDAP authentication using username and password or password script is supported. Alternatively, you can establish unsecured Trino connections.
docker run --name trino -d -p 8080:8080 trinodb/trinoBy integrating Trino into Hue, you can leverage enhanced SQL federation and data mesh capabilities, providing a more robust and versatile data querying experience.
You can try this feature in the latest Hue version.
Upwards and Onwards!
Ayush from the Hue Team