- Ruby Client: other versions:
- Overview
- Getting started
- Installation
- Connecting
- Configuration
- Integrations
- Examples
- Troubleshooting
- Client helpers
- Release Notes
- 8.18 Release notes
- 8.17 Release notes
- 8.16 Release notes
- 8.15 Release notes
- 8.14 Release notes
- 8.13 Release notes
- 8.12 Release notes
- 8.11 Release notes
- 8.10 Release notes
- 8.9 Release notes
- 8.8 Release notes
- 8.7 Release notes
- 8.6 Release notes
- 8.5 Release notes
- 8.4 Release notes
- 8.3 Release notes
- 8.2 Release notes
- 8.1 Release notes
- 8.0 Release notes
- 7.17 Release notes
- 7.16 Release notes
- 7.15 Release notes
- 7.14 Release notes
- 7.13 Release notes
- 7.12 Release notes
- 7.11 Release notes
- 7.10 Release notes
- 7.9 Release notes
- 7.8 Release notes
- 7.7 Release notes
- 7.6 Release notes
- 7.5 Release notes
- 7.0 Release notes
8.3 Release notes
edit
A newer version is available. Check out the latest documentation.
8.3 Release notes
edit8.3.0 Release notes
edit- Tested versions of Ruby for 8.3.0: Ruby (MRI) 2.7, 3.0 and 3.1, JRuby 9.3.
API
edit- Added build hash to auto generated code. The code generator obtains the git hash from the Elasticsearch specification and adds it as a comment in the code. This allows us to track the version for each generated class.
- Updated for compatibility with Elasticsearch 8.3’s API.
API Changes
edit-
cluster.delete_voting_config_exclusions
,cluster.post_voting_config_exclusions
- Add new parametermaster_timeout
(Time) Timeout for submitting request to master. -
machine_learning.infer_trained_model_deployment
is renamed tomachine_learning.infer_trained_model
. The url/_ml/trained_models/{model_id}/deployment/_infer
is deprecated since 8.3, use/_ml/trained_models/{model_id}/_infer
instead. -
machine_learning.preview_datafeed
- Adds new parameters:-
start
(String) The start time from where the datafeed preview should begin -
end
(String) The end time when the datafeed preview should stop
-
-
machine_learning.start_trained_model_deployment
- Adds new parameters:-
number_of_allocations
(Integer) The number of model allocations on each node where the model is deployed. -
threads_per_allocation
(Integer) The number of threads used by each model allocation during inference. -
queue_capacity
(Integer) Controls how many inference requests are allowed in the queue at a time.
-
-
search_mvt
- Adds new parameter:with_labels
(Boolean) If true, the hits and aggs layers will contain additional point features with suggested label positions for the original features -
snapshot.get
- Adds new parameter:index_names
(Boolean) Whether to include the name of each index in the snapshot. Defaults to true.
New Experimental APIs
edit-
security.has_privileges_user_profile
Determines whether the users associated with the specified profile IDs have all the requested privileges
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