es

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

es has 21 facts recorded in Dontopedia across 6 references, with 2 live disagreements.

21 facts·13 predicates·6 sources·2 in dispute

Mostly:rdf:type(5), created in(1), created with(1)

Inbound mentions (8)

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.

`receives`Receives(2)

Indexerex:Indexer
Query Handlerex:QueryHandler

`calledOn`Called on(1)

Indices Methodex:indices-method

`creates`Creates(1)

Es Instantiationex:es-instantiation

`instanceOf`Instance of(1)

Elasticsearch Clientex:elasticsearch-client

`instantiatesObject`Instantiates Object(1)

Create Index Functionex:create-index-function

`invokedBy`Invoked by(1)

Indices Methodex:indices-method

`isIndexedBy`Is Indexed by(1)

Elasticsearchex:elasticsearch

Other facts (17)

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.

17 facts

Predicate	Value	Ref
Rdf:type	Software Instance	[1]
Rdf:type	Elasticsearch Instance	[2]
Rdf:type	Elasticsearch Client	[3]
Rdf:type	Elasticsearch Client	[4]
Rdf:type	Variable	[5]
Created in	Python Code	[1]
Created With	Elasticsearch Library	[1]
Is Instanceof	Elasticsearch	[2]
Created by	Python Import	[3]
Type	Elasticsearch	[3]
Invokes	Indices Method	[3]
Has Type	Elasticsearch Client	[3]
Class Name	Elasticsearch	[4]
Inverse Called by	Create Index Function	[4]
Created Via	No Argument Constructor	[4]
Initialized With	Elasticsearch Class	[5]
Indexes to	Synonyms Index	[6]

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.

21 undated

—

typebeam/fe9d8d57-a62d-4d34-a7a7-659ec10bf1c9

ex:SoftwareInstance

—

labelbeam/fe9d8d57-a62d-4d34-a7a7-659ec10bf1c9

Elasticsearch instance

—

createdInbeam/fe9d8d57-a62d-4d34-a7a7-659ec10bf1c9

ex:python-code

—

createdWithbeam/fe9d8d57-a62d-4d34-a7a7-659ec10bf1c9

ex:elasticsearch-library

—

typebeam/862c9573-384c-4fcf-b141-bb2857e60deb

ex:ElasticsearchInstance

—

labelbeam/862c9573-384c-4fcf-b141-bb2857e60deb

—

isInstanceofbeam/862c9573-384c-4fcf-b141-bb2857e60deb

ex:Elasticsearch

—

typebeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

ex:ElasticsearchClient

—

labelbeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

Elasticsearch client instance

—

createdBybeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

ex:python-import

—

typebeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

Elasticsearch

—

invokesbeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

ex:indices-method

—

hasTypebeam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9

ex:elasticsearch-client

—

typebeam/02c34c76-dac3-438e-a935-f015a7613050

ex:ElasticsearchClient

—

classNamebeam/02c34c76-dac3-438e-a935-f015a7613050

Elasticsearch

—

inverse_calledBybeam/02c34c76-dac3-438e-a935-f015a7613050

ex:create-index-function

—

createdViabeam/02c34c76-dac3-438e-a935-f015a7613050

ex:no-argument-constructor

—

typebeam/40157aac-2dcd-4b7b-a689-60c9e412cd24

ex:Variable

—

labelbeam/40157aac-2dcd-4b7b-a689-60c9e412cd24

—

initializedWithbeam/40157aac-2dcd-4b7b-a689-60c9e412cd24

ex:elasticsearch-class

—

indexesTobeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0

ex:synonyms-index

References (6)

6 references

[1]Fe9d8d57 A62d 4d34 A7a7 659ec10bf1c94 facts
ctx:claims/beam/fe9d8d57-a62d-4d34-a7a7-659ec10bf1c9
[2]862c9573 384c 4fcf B141 Bb2857e60deb3 facts
ctx:claims/beam/862c9573-384c-4fcf-b141-bb2857e60deb
- full textbeam-chunk
  text/plain1 KBdoc:beam/862c9573-384c-4fcf-b141-bb2857e60deb
  Show excerpt
  - Consider factors such as query type, filter context, field selection, result size control, and performance metrics. ### Example Usage Here are the complete test functions with detailed instructions: ```python from elasticsearch import …
[3]50a0849a A6e9 4bc2 A022 03aa03f6dba96 facts
ctx:claims/beam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
- full textbeam-chunk
  text/plain1 KBdoc:beam/50a0849a-a6e9-4bc2-a022-03aa03f6dba9
  Show excerpt
  - 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…
[4]02c34c76 Dac3 438e A935 F015a76130504 facts
ctx:claims/beam/02c34c76-dac3-438e-a935-f015a7613050
- full textbeam-chunk
  text/plain1 KBdoc:beam/02c34c76-dac3-438e-a935-f015a7613050
  Show excerpt
  By following these steps, you should be able to improve the detection rate of indexing errors and handle them more effectively. If you have any specific concerns or need further customization, feel free to ask! [Turn 5158] User: I'm design…
[5]40157aac 2dcd 4b7b A689 60c9e412cd243 facts
ctx:claims/beam/40157aac-2dcd-4b7b-a689-60c9e412cd24
- full textbeam-chunk
  text/plain1 KBdoc:beam/40157aac-2dcd-4b7b-a689-60c9e412cd24
  Show excerpt
  - For large datasets, consider using `IndexIVFFlat` or `IndexHNSW`. These index types use approximate nearest neighbor search, which can be much faster for large datasets. ```python nlist = 100 # Number of centroids quantizer = …
[6]Dc43e263 Ae12 4ebe Aaee B46ef58b17d01 fact
ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
- full textbeam-chunk
  text/plain1 KBdoc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
  Show excerpt
  'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter'] …

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es

Inbound mentions (8)

receivesReceives(2)

calledOnCalled on(1)

createsCreates(1)

instanceOfInstance of(1)

instantiatesObjectInstantiates Object(1)

invokedByInvoked by(1)

isIndexedByIs Indexed by(1)