Edit: 3.8.1 was released May 4th 2015 and is now the default version
Hi Big Data Munchers,
The Hue Team is glad to release Hue 3.8 and its improved Oozie Editor and better performances!
A new Spark REST Job Server with a Notebook UI are also appearing in a Beta version for all the eager Spark developers that would like to give it a try.
A tarball is available as well as documentation and release notes. This release is a big step forwards and comes with more than 1000 commits!
If you built custom apps, follow the upgrade guide!
Here is a summary of the main improvements (got on the 3.8 blog for more details):
- New look and less knowledge of Oozie required
- Importing / exporting workflows is easier
- Workflows supports tens of new functionalities
- Support of the new HiveServer2 and Spark Action
- Coordinator user experience is simpler
- Easy way to differentiate workflows submitted manually or by coordinators
- Sub-workflow links to corresponding workflows and logs
- Update end time of coordinator
- Hive jobs ids are visible
See more details about the Editor and Dashboard.
- Hue HA
- Static files caching and running with NGINX
- Hive 1.1 support
- Major upgrade of Django 1.6
- Run with Apache Server
- Fixed a number of deadlocks
- Fixed some non-standard Oracle DB issues
- Regular users can now also create dashboards
- Range & Up facet
- 2D maps
- Collection aliases querying
- Multiple widgets using the same fields
- Enable only the Search app
- Export and import dashboard
More detailed information here…
Spark Notebook (beta)
- New REST Spark Job Server (beta)
- Notebook Web UI (beta)
- Scala, Java, Python
- YARN cluster
- Sensitive data redaction in logs and SQL editors (PCI)
- HTTPS/SSL configuration
- Use Impala/Hive with LDAP authentication and SSL
- HCatalog with Pig Editor and security
- SAML 2.0 support
- LDAP Debugging
- Add a customized top banner
New ways to install Hue
It was a pleasure to present at Lucene Solr Revolution in Washington DC and Big Data Spain in Madrid.
Next release (3.9) will mostly focus on Spark & Search and bring general improvements/feature completeness in all the apps.
In parallel, the design & development of Hue 4 is kicking in with the goal of becoming the equivalent of “Excel for Big Data”. A fresh new look, a unification of all the apps, wizards for ingesting data… will let you use the full platform in a single UI for fast Big Data querying and prototyping!
As usual feel free to contribute to the project and participate on the hue-user list or @gethue!