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Enhancements
- Machine Learning
-
Added the
xpack.ml.max_model_memory_limit
setting, which can be dynamically updated. For more information, see Machine Learning Settings. -
Added checks and error messages for the
ml.enabled
andml.max_open_jobs
node attributes. These are reserved for internal use and their values should be set by usingxpack.ml.enabled
andxpack.ml.max_open_jobs
machine learning settings.
-
Added the
- Security
-
Improved the error messages that are returned by the
setup-passwords
command.
-
Improved the error messages that are returned by the
- Watcher
- Added verification that the required templates exist before Watcher starts. For more information, see Scripts and Templates.
-
Added the
xpack.watcher.history.cleaner_service.enabled
setting. You can use this setting to enable or disable the cleaner service, which removes previous versions of Watcher indices (for example, .watcher-history*) when it determines that they are old. For more information, see Watcher Settings.
Bug fixes
- Machine Learning
- Fixed a scenario where models were incorrectly combined. This problem occurred when anomaly detectors were considered to be the same despite having different partition field values.
- Cleaned up the job closure process for situations where the job was still in the process of opening.
- Security
-
Enabled PKI realms to obtain the password for the truststore from either the
truststore.secure_password
or thetruststore.password
setting. For more information, see PKI Realm Settings. - Fixed document level security such that if your role has authority to access a root document, you also have access to its nested documents.
- Fixed an issue that caused LDAP authentication requests to be slow and to require multiple binds when authenticating in user search mode.
-
Enabled PKI realms to obtain the password for the truststore from either the
See also: