Fixed
SQL Editor: Redesigned UI, Tab Management & Cross-Engine SQL Translation
The SQL Editor has received a major UI/UX overhaul, making it faster to navigate multi-query workflows and easier to move between engines without rewriting SQL.
Tab management
You can now open multiple queries and notebooks as tabs across the top of the editor. Switch between active work, reference queries, and tutorials without losing your place. The left sidebar organizes all saved queries by engine, so you can search, browse, and open anything in one click.
SQL Translate: convert between engines instantly
This is the big one. Hit Translate and Ilum will convert your SQL from one dialect to another, across all three supported engines: DuckDB, Trino, and Spark SQL. Moving a quick prototype from DuckDB to a production Spark job? Translate handles the syntax differences so you don't have to. It works in every direction: DuckDB → Spark, Trino → DuckDB, Spark → Trino, and so on.
What else is new in the editor
- Format - auto-format your SQL for readability with one click.
- Explain - view the query execution plan before running, useful for catching expensive operations early.
- Engine picker - switch between DuckDB, Trino, and Spark SQL per query tab. Different tabs can target different engines simultaneously.
- Inline results - query output appears directly below the editor with row counts, execution time, and an Export option. Multiple result sets are tabbed so you can compare runs side by side.
Why it matters
Teams working across engines no longer need to context-switch between tools or manually translate SQL dialects. Write exploratory queries in DuckDB for speed, translate to Spark SQL when the workload scales, and keep everything in one place, same editor, same catalog, same lineage.
Introduced in 6.7.0
Introduced in 6.7.0
Fixed
Version 6.1.1
- Added replica count to Helm charts.
- Added node affinities for architectures to helm charts
- Added the ability to browse attached cluster storages
- Fixed a bug with Kafka consumer configuration
Fixed
Version 6.0.0
- UI v3
- Embedded Jupyter Notebook
- Embedded Airflow
- Encapsulate the spark-submit processes within separate kubernetes pod
- Tons of small improvements
Fixed
Version 5.2.0
- Python spark jobs support
- Airflow integration
- Ilum python package available in pypi
- Ilum helm package available in artifacthub
- Spark update to 3.4.1
Fixed
Version 5.1.0
- Now featuring an accessible Spark UI link for actively running jobs, offering seamless monitoring and management.
- Fully compatible with Ilum REST API v1.1, enabling advanced functionality.
- Streamlined license attachment during Helm installation, eliminating the need for manual intervention.
- Enhanced data filtering capabilities with the ability to list all existing spark cluster names.
- Added a robust health check endpoint for the Ilum service, ensuring system stability and reliability.
- Refined user interface with subtle yet impactful improvements, elevating the overall user experience.
Fixed
Version 5.0.2
- Enhanced user interface with subtle refinements for an improved user experience.
- Extended ilum-job-api to maintain seamless backward compatibility with Java 8, ensuring support for legacy systems.
Fixed
Version 5.0.1
- Introduced versatile, multi-platform Docker images for ilum-core, expanding compatibility and usability across various systems.
- Revitalized Bitnami Helm repository with essential updates to dependencies, ensuring seamless access and functionality.
- Implemented subtle user interface enhancements for a more polished and user-friendly experience.
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