What's New in Cloudera Data Explorer (Hue)

New features and functional updates for Cloudera Data Explorer (Hue) are introduced in Cloudera Runtime 7.3.2, its service packs, and cumulative hotfixes.

Cloudera Runtime 7.3.2

Cloudera Runtime 7.3.2 introduces new features of Cloudera Data Explorer (Hue) and includes all service packs and cumulative hotfixes from 7.3.1.100 through 7.3.1.706. For a comprehensive record of all updates in Cloudera Runtime 7.3.1.x, see New Features .

Product Branding Update
The product component previously known as Hue is now renamed to Cloudera Data Explorer (Hue). This change reflects UI and an updated branding initiative and will be rolled out in phases.

As part of this release, you can notice the following changes:

  • A new logo in the UI
  • The service name updated to Data Explorer in the UI
  • The new product name reflected in documentation

Some UI references might still display the previous name as the branding update is completed incrementally in future releases.

No functional impact is associated with this change. All existing configurations, workflows, and integrations continue to work as before.

Data Explorer JDK 17 upgrade
Data Explorer supports JDK 17. Upgrading to JDK 17 ensures your application stays competitive and maintainable by providing improved performance, increased security, modern language features, and long-term support.
Data Explorer IPv6 support
Data Explorer supports IPv6 with dual-stack functionality, allowing seamless communication over both IPv4 and IPv6 networks. This capability improves network scalability and enhances overall platform security.
For more information, see Enabling Dual-Stack support for Data Explorer.
Python 3.11 support in Data Explorer
Data Explorer now supports Python 3.11 as the only supported version across all operating systems. Python 3.8, 3.9, and 3.10 are no longer supported.
Enhanced session security for Data Explorer
Data Explorer now includes security for the session ID (sessionid) cookie. This enhancement helps prevent unauthorized access, resulting in data exposure, unauthorized query execution, and job submission across connected Data Explorer services.
For more information, see Securing Data Explorer sessions.
Support for S3-compatible object stores in Data Explorer
Data Explorer now includes a storage connector framework that supports S3-compatible third-party object stores.
For more information, see .Enabling AWS S3 compatible Object Stores in Cloudera Data Explorer (Hue) without RAZ.
Data Explorer support for the boto3 SDK
Data Explorer now supports the boto3 SDK for accessing AWS S3. This update replaces the legacy connector framework to provide improved performance and compatibility with AWS services.
To ensure a smooth transition, the system automatically converts your existing configurations to the new connector system. This feature is enabled by default, but you can manually disable the feature flag if necessary.
For more information, see Enabling S3 File Browser for Cloudera Data Explorer (Hue) with RAZ in DataHub.
Improved navigation pane interpreter visibility
Previously, enabling an application such as SparkSQL automatically displayed every associated default interpreter, which often cluttered the UI. Data Explorer now prioritizes a streamlined interface by no longer displaying all available interpreters by default. If your workflow requires the previous behavior, you can revert to displaying all available interpreters by enabling the enable_all_interpreters configuration flag.
For more information, see Enabling multiple editors in Cloudera Data Explorer (Hue).
Global Hive JDBC URL for Oozie workflows
Data Explorer now supports a global configuration for Hive JDBC connection strings used in Oozie workflow. Data Explorer derived these URLs from the default Hive configuration, requiring manual, per-workflow overrides for specialized setups such as High Availability (HA) quorums. You can now use the oozie_hs2_jdbc_url configuration property to set a single, cluster-wide JDBC URL.
For more information, see Configuring global Hive JDBC URL for Oozie.