7.13 Release notes
edit7.13 Release notes
edit7.13.3 Release notes
edit- API Support for Elasticsearch version 7.13.3
7.13.2 Release notes
edit- Mute release, yanked from RubyGems.
7.13.1 Release notes
editClient
edit-
Fixes thread safety issue in
get_connection
- Pull Request.
7.13.0 Release notes
editClient
edit- Support for Elasticsearch version 7.13.0
-
Adds support for compatibility header for Elasticsearch. If the environment variable ELASTIC_CLIENT_APIVERSIONING is set to
true
or1
, the client will send the headersAccept
andContent-Type
with the following value:application/vnd.elasticsearch+json;compatible-with=7
. - Better detection of Elasticsearch and Enterprise Search clients in the meta header used by cloud.
API
edit-
The REST API tests now use an artifact downloaded from the Elastic servers instead of depending of cloning
elasticsearch
locally. Check the README for more information. -
New parameter
include_unloaded_segments
incat.nodes
,nodes.stats
: If set to true segment stats will include stats for segments that are not currently loaded into memory -
New parameter
summary
iningest.get_pipeline
: Return pipelines without their definitions (default: false) -
New parameter
index_details
insnapshot.get
: Whether to include details of each index in the snapshot, if those details are available. Defaults to false. -
New endpoint
features.reset_features
,ingest/geo_ip_stats
-
New experimental endpoints:
shutdown.delete_node
,shutdown.get_node
,shutdown.put_node
.
X-Pack
edit- Refactored test tasks, made it easier to run the tests by default.
-
New experimental endpoints:
fleet.global_checkpoints
,searchable_snapshots.cache_stats
. -
New beta endpoints:
security.clear_cached_service_tokens
,security.create_service_token
,security.delete_service_token
,security.get_service_accounts
,security.get_service_credentials
-
New endpoints:
machine_learning.delete_trained_model_alias
,machine_learning.preview_data_frame_analytics
,machine_learning.put_trained_model_alias
. -
APIs migrated from experimental or beta to stable:
machine_learning.delete_data_frame_analytics
,machine_learning.delete_trained_model
,machine_learning.estimate_model_memory
,machine_learning.explain_data_frame_analytics
,machine_learning.get_data_frame_analytics
,machine_learning.get_data_frame_analytics_stats
,machine_learning.get_trained_models
,machine_learning.get_trained_models_stats
,machine_learning.put_data_frame_analytics
,machine_learning.put_trained_model
,machine_learning.start_data_frame_analytics
,machine_learning.stop_data_frame_analytics
,machine_learning.update_data_frame_analytics
-
New parameter
body
inmachine_learning.preview_datafeed
: The datafeed config and job config with which to execute the preview.