Ramesh - thank you for driving this release.
Rangers - thank you all for your contributions to this release!
This release includes several important improvements:
- Ranger KMS integration with Google cloud HSM, Tencent KMS
- added support for Amazon CloudWatch as audit store
- ability to scope delegated-admin to specific permissions
- ability to use macros in conditions, like:
- IS_IN_GROUP('hr') && IS_IN_GROUP('finance')
- TAG.piiType == 'email'
- attribute-based access control (ABAC) enhancements, with ability to refer
user/group/tag attributes
- resource names, like: /dept/${{USER.dept}}, db_${{USER._name}}
- row-filters, like country = ${{USER.country}}, store_id in
(${{GET_UG_ATTR _CSV('managesStore')}})
- conditions, like: HAS_UG_ATTR('managesStore')
- removal of log4j-1 dependency
- performance improvements in multiple areas
- improvements in Docker setup
Madhan
On 7/9/22, 8:42 PM, "Ramesh Mani" <[email protected]> wrote:
Dear all,
Apache Ranger team is happy to announce the release of Apache Ranger 2.3.0.
Apache Ranger is a framework to enable, monitor and manage comprehensive
data security across the Hadoop platform and beyond. Apache Ranger 2.3.0
contains a number of new features, improvements and bug fixes. Details can
be found in the release notes at
https://cwiki.apache.org/confluence/display/RANGER/Apache+Ranger+2.3.0+-+Release+Notes
The release artifacts are available at:
https://ranger.apache.org/download.html The binary artifacts are available
from Maven central and its mirrors. In the initial 48 hours, the release
may not be available on all mirrors. When downloading from a mirror site,
please remember to verify the downloads using signatures found at:
https://www.apache.org/dist/ranger/KEYS More details on Apache Ranger can
be found at: https://ranger.apache.org We thank everyone who made this
release possible. Thanks, Apache Ranger team
