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Bump elasticsearch from 7.7.0 to 7.13.3 #160

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Bumps elasticsearch from 7.7.0 to 7.13.3.

Release notes

Sourced from elasticsearch's releases.

7.13.3

  • API Support for Elasticsearch version 7.13.3

7.13.1

Client

7.13.0

Client

  • 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 or 1, the client will send the headers Accept and Content-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

  • 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 in cat.nodes, nodes.stats: If set to true segment stats will include stats for segments that are not currently loaded into memory
  • New parameter summary in ingest.get_pipeline: Return pipelines without their definitions (default: false)
  • New parameter index_details in snapshot.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

  • 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 in machine_learning.preview_datafeed: The datafeed config and job config with which to execute the preview.

7.13.0.pre

-Support for Elasticsearch version 7.13.0 -This is a pre-release, full Changelog details will be published with the final release of 7.13.0

7.12.0

Client

  • Support for Elasticsearch version 7.12.0
  • Ruby 3 is now tested, it was added to the entire test suite.
  • New official documentation pages for configuration: Basic Configuration and Advanced Configuration.
  • Integration tests runner refactored to keep skipped tests in a yaml file.

API

  • New API namespace: features and endpoints features.get_features and snapshot.get_features.
  • cat.plugins adds parameter include_bootstrap: Include bootstrap plugins in the response.

... (truncated)

Changelog

Sourced from elasticsearch's changelog.

7.13.3

  • API Support for Elasticsearch version 7.13.3

7.13.2

  • Mute release, yanked from RubyGems.

DSL 0.1.10

  • Adds auto_generate_synonyms_phrase_query (@​andreasklinger) (3587ebe4dcecedd1f5e09adce4ddcf6cb163e9fa)
  • Adds minimum_should_match option to bool filters (@​MothOnMars) (c127661f368970ad9158706b6c6134462524af56)
  • Adds support for calendar_interval to DateHistogram (@​tmaier) (a3214c57ee876432a165f3e75f95a947a28d1484)
  • Removes auto_generate_phrase_queries deprecated parameter (850eabaff268eacbce6179e76fb9d34f271bc586)
  • Removes deprecated interval parameter (6b2e3bac39cf520d52adc17aee696fb7fa1de77a)
  • Use pry-byebug for MRI and pry-nav for JRuby
  • Improves running tests (default value for cluster set to 'http://localhost:9200')

DSL 0.1.9

7.13.1

Client

  • Fixes thread safety issue in get_connection - Pull Request.

7.13.0

Client

  • 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 or 1, the client will send the headers Accept and Content-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

  • 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 in cat.nodes, nodes.stats: If set to true segment stats will include stats for segments that are not currently loaded into memory
  • New parameter summary in ingest.get_pipeline: Return pipelines without their definitions (default: false)
  • New parameter index_details in snapshot.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

  • 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 in machine_learning.preview_datafeed: The datafeed config and job config with which to execute the preview.

... (truncated)

Commits
  • e3685b8 [CI] Updates test matrix
  • 9068059 Bumps version
  • 2949803 Fix CHANGELOG.md for 7.13.1 version
  • 2636541 Bumps version
  • b4ebc88 [DOCS] Updates release notes
  • f53d325 Fix thread safety issue in get_connection
  • 3e06fdb [DOCS] Updates CHANGELOG
  • 2df329f Bumps version to 7.13.1
  • ae8e362 [API] Removes xpack endpoints and reorganizes tests
  • 4775775 [API] Generator: freeze/unfreeze are X-Pack
  • Additional commits viewable in compare view

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