Dontopedia

Elasticsearch API

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Elasticsearch API has 26 facts recorded in Dontopedia across 10 references, with 4 live disagreements.

26 facts·9 predicates·10 sources·4 in dispute

Mostly:rdf:type(8), has endpoint(4), accepts put request(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

invokesAPIInvokes Api(3)

memberOfMember of(2)

rdf:typeRdf:type(2)

assignedToAssigned to(1)

is-used-byIs Used by(1)

partOfPart of(1)

targetsTargets(1)

usesUses(1)

Other facts (20)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

20 facts
PredicateValueRef
Rdf:typeRestapi[2]
Rdf:typeRest Api[3]
Rdf:typeRest Api[4]
Rdf:typeRestapi[5]
Rdf:typeApplication Programming Interface[7]
Rdf:type[8]
Rdf:typeApplication Programming Interface[9]
Rdf:typeApi[10]
Has EndpointIndices Api[4]
Has EndpointMapping Api[4]
Has EndpointDocument Id Api[4]
Has Endpoint/_cat/indices[5]
Accepts Put RequestSnapshot Repository Creation[3]
Accepts Put RequestSnapshot Creation[3]
Base UrlLocalhost:9200[2]
Uses Http MethodPUT[3]
Supports MethodGET[5]
SupportsPut Method[6]
Used forEmail Profile Configuration[7]
Exposed byEs Object[9]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

labelbeam/4bd6fd08-998a-492f-956d-200c53ef7072
Elasticsearch API
typebeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
ex:RESTAPI
labelbeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
Elasticsearch REST API
baseURLbeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
http://localhost:9200
acceptsPutRequestbeam/1e113778-b52d-420b-924c-193446e37972
ex:snapshot-repository-creation
acceptsPutRequestbeam/1e113778-b52d-420b-924c-193446e37972
ex:snapshot-creation
typebeam/1e113778-b52d-420b-924c-193446e37972
ex:rest-api
usesHttpMethodbeam/1e113778-b52d-420b-924c-193446e37972
PUT
typebeam/2786fe2b-98ad-42a4-8c7c-27b66b925362
ex:REST API
labelbeam/2786fe2b-98ad-42a4-8c7c-27b66b925362
Elasticsearch REST API
hasEndpointbeam/2786fe2b-98ad-42a4-8c7c-27b66b925362
ex:indices-api
hasEndpointbeam/2786fe2b-98ad-42a4-8c7c-27b66b925362
ex:mapping-api
hasEndpointbeam/2786fe2b-98ad-42a4-8c7c-27b66b925362
ex:document-id-api
typebeam/b4044a88-809c-4b9f-94d8-02634a13a7a6
ex:RESTAPI
hasEndpointbeam/b4044a88-809c-4b9f-94d8-02634a13a7a6
/_cat/indices
supportsMethodbeam/b4044a88-809c-4b9f-94d8-02634a13a7a6
GET
supportsbeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:PUT-method
usedForbeam/229f8b91-e214-491b-9152-7d89eb4d2065
ex:email-profile-configuration
typebeam/229f8b91-e214-491b-9152-7d89eb4d2065
ex:ApplicationProgrammingInterface
labelbeam/229f8b91-e214-491b-9152-7d89eb4d2065
Elasticsearch API
typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:
labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
Elasticsearch REST API
typebeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:ApplicationProgrammingInterface
exposedBybeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:es-object
typebeam/3b440849-a2f0-46bf-ac93-8276c93a0ee1
ex:API
labelbeam/3b440849-a2f0-46bf-ac93-8276c93a0ee1
Elasticsearch API

References (10)

10 references
  1. ctx:claims/beam/4bd6fd08-998a-492f-956d-200c53ef7072
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      'number_of_replicas': 2, 'refresh_interval': '1s', 'similarity': { 'my_similarity': { 'type': 'BM25', 'b': 0.75, 'k1': 1.2
  2. ctx:claims/beam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
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      - For most workloads, performing a force merge once a day or once a week is often sufficient. This helps keep fragmentation under control without overly impacting performance. 2. **Based on Activity**: - If your index experiences bur
  3. ctx:claims/beam/1e113778-b52d-420b-924c-193446e37972
    • full textbeam-chunk
      text/plain845 Bdoc:beam/1e113778-b52d-420b-924c-193446e37972
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      PUT /_snapshot/my_backup { "repository": "my_backup", "body": { "type": "fs", "settings": { "location": "/path/to/backup" } } } PUT /_snapshot/my_backup/snapsho
  4. ctx:claims/beam/2786fe2b-98ad-42a4-8c7c-27b66b925362
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      IndexNotFoundException[[index_name] missing] ``` - **Handling**: - Ensure that the index exists before performing operations. - Use the `GET /_cat/indices` API to verify the existence of the index. 5. **MapperTypeMis
  5. ctx:claims/beam/b4044a88-809c-4b9f-94d8-02634a13a7a6
    • full textbeam-chunk
      text/plain936 Bdoc:beam/b4044a88-809c-4b9f-94d8-02634a13a7a6
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      - You can also directly query Elasticsearch to check if the logs are being indexed: ```sh curl -X GET "http://localhost:9200/_cat/indices?v" ``` ### Example Configuration Here is a complete example of a `filebeat.yml` c
  6. ctx:claims/beam/955c7d8a-4e54-4841-8759-1597ba83080c
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      ### 4. **Size of Caches** The sizes of these caches can be specified as a percentage of the heap or in bytes. Adjusting these values can help balance memory usage and performance. ```json PUT /logs/_settings { "index.cache.query.size":
  7. ctx:claims/beam/229f8b91-e214-491b-9152-7d89eb4d2065
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      text/plain928 Bdoc:beam/229f8b91-e214-491b-9152-7d89eb4d2065
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      - Use the Elasticsearch API to configure an email profile. ```json PUT _xpack/watcher/transport/email/profiles/standard { "profile": { "smtp": { "host": "smtp.example.com", "port": 587, "auth": { "usernam
  8. ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
  9. ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
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      'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter']
  10. ctx:claims/beam/3b440849-a2f0-46bf-ac93-8276c93a0ee1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3b440849-a2f0-46bf-ac93-8276c93a0ee1
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      2. **Index Function**: Use `es.index` to add documents to the `reformulated_queries` index. We use the `id` parameter to ensure uniqueness based on the original query. 3. **Search Function**: Use `es.search` to query the `reformulated_queri

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