Tested versions of Ruby for 8.15.0: Ruby (MRI) 3.0, 3.1, 3.2 and 3.3. JRuby 9.3 and JRuby 9.4.
API changes
snapshot.delete - Adds wait_for_completion Boolean parameter, should this request wait until the operation has completed before returning.
cluster.allocation_explain - body is no longer a required parameter.
connector.put - (experimental API) body and connector_id no longer required parameters.
machine_learning.update_trained_model_deployment has been promoted to stable from Beta. Adds Integer parameter number_of_allocations, updates the model deployment to this number of allocations.
master_timeout and timeout parameters
These parameters have been added to several APIs:
master_timeout timeout for processing on master node.
timeout timeout for acknowledgement of update from all nodes in cluster parameters.
inference.delete_model => inference.delete. Also adds two new parameters:
dry_run (Boolean), if true the endpoint will not be deleted and a list of ingest processors which reference this endpoint will be returned.
force (Boolean), if true the endpoint will be forcefully stopped (regardless of whether or not it is referenced by any ingest processors or semantic text fields).
Tested versions of Ruby for 8.15.0: Ruby (MRI) 3.0, 3.1, 3.2 and 3.3. JRuby 9.3 and JRuby 9.4.
API changes
snapshot.delete - Adds wait_for_completion Boolean parameter, should this request wait until the operation has completed before returning.
cluster.allocation_explain - body is no longer a required parameter.
connector.put - (experimental API) body and connector_id no longer required parameters.
machine_learning.update_trained_model_deployment has been promoted to stable from Beta. Adds Integer parameter number_of_allocations, updates the model deployment to this number of allocations.
master_timeout and timeout parameters
These parameters have been added to several APIs:
master_timeout timeout for processing on master node.
timeout timeout for acknowledgement of update from all nodes in cluster parameters.
inference.delete_model => inference.delete. Also adds two new parameters:
dry_run (Boolean), if true the endpoint will not be deleted and a list of ingest processors which reference this endpoint will be returned.
force (Boolean), if true the endpoint will be forcefully stopped (regardless of whether or not it is referenced by any ingest processors or semantic text fields).
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Updates the requirements on elasticsearch to permit the latest version.
Release notes
Sourced from elasticsearch's releases.
... (truncated)
Changelog
Sourced from elasticsearch's changelog.
... (truncated)
Commits
d37bf31
[DOCS] Release notes for 8.15.065ddbce
Test Runner: Catch Net::ReadTimeout when retrying actionsdddf9b6
Update 8.15.yml6115ec5
[CI] Updates GitHub Actions for 8.153d277f2
[API] Updates source code docs URL607d01d
Bumps version to 8.15.01a6b85b
[API] Adds geoip_database endpoints - delete, get, putca88f25
Test Runner: Skips logsdb tests60cc2d7
Adds task to automatically update to the latest STACK_VERSION2445ec6
Adds skipped tests migrated to elasticsearch-clients-testsDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show