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Version: v2.9.0

Change Log

New Features​

1. Manage All Notebook Types as Workspace Files​

All notebook types (SQL, Python3, Scala) can now be handled as workspace files:

  • Move, rename, copy, and delete operations supported
  • More intuitive and flexible file management

2. SQL Notebook Support​

  • Interactive SQL development, debugging, and execution
  • Inline result visualization
  • Seamless integration with workspace jobs and files

3. Turbo Runtime​

  • High-performance Spark execution engine
  • Optimized for compute-heavy workloads
  • Enhanced job execution speed and efficiency

4. Secrets Management​

Secure storage and handling of credentials like API keys and tokens.

Key Capabilities:

  • Secure Secret Injection: Inject secrets into jobs without exposing them in code
  • Scope-Based Access Control: User > Workspace > Tenant
  • Multiple Secret Types: Supports AWS/GCP/Azure creds, env variables, Unity tokens, and more

5. Personal Access Tokens (PATs)​

  • Enables programmatic access via Yeedu CLI
  • Ideal for secure automation and external tool integrations

6. Unity Catalog Integration​

Connect to Databricks Unity Catalog for enterprise-grade governance.

Key Benefits:

  • Centralized metadata and access control
  • Fine-grained, role-based permissions
  • Full data lineage and compliance visibility

7. Support for Graviton Instances​

Yeedu clusters now support ARM-based Graviton instances:

  • Lower cost and better energy efficiency
  • Optimized for compatible workloads

8. Unity Catalog Secrets Injection​

  • Automated secret injection into Spark jobs
  • Secure access to Unity Catalog using Yeedu Vault/Secrets Manager
  • Eliminates the need for manual secret handling

9. Environment Secrets Management​

  • Environment-specific secrets fetched from Vault
  • Automatically injected into Spark configurations
  • Ensures consistent and secure runtime behavior

Enhancements​

Improved Workspace File Management​

  • Rename, copy, move files and folders
  • Download entire folders with content
  • Streamlined file operations for improved productivity

Refreshed UI Branding​

  • Updated color palette and visual design
  • Enhanced layout consistency and UI polish
  • Modernized Yeedu branding

Bug Fixes​

  1. Large Log Files – Resolved UI freezing for logs > 92.5 MB
  2. Log Review Memory Handling – Improved scrolling and responsiveness
  3. NFS Mounting (CentOS) – Fixed mounting issues on CentOS-based systems
  4. Workspace File Mounting – Increased reliability across cluster nodes
  5. EC2 Shutdown – Ensured full instance termination and resource cleanup
  6. Package Install Failures – Stabilized package setup workflows
  7. Python Path Resolution – Prioritized Miniconda paths for consistent execution
  8. Configuration Merging – Improved handling of credentials and persistent configs