Dontopedia

must array

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

must array has 26 facts recorded in Dontopedia across 10 references, with 4 live disagreements.

26 facts·6 predicates·10 sources·4 in dispute

Mostly:rdf:type(10), contains element(4), contains(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (10)

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.

hasMustHas Must(2)

containsArrayContains Array(1)

containsListContains List(1)

containsMustArrayContains Must Array(1)

hasComponentHas Component(1)

hasMustArrayHas Must Array(1)

isFirstElementInIs First Element in(1)

isSecondElementInIs Second Element in(1)

partOfPart of(1)

Other facts (10)

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.

10 facts
PredicateValueRef
Contains ElementTitle Match[4]
Contains ElementContent Match[4]
Contains ElementContent Match[8]
Contains ElementMatch Clause[10]
ContainsMatch Title Condition[2]
ContainsMatch Content Condition[2]
ContainsMatch Content[9]
Is Value of"must"[1]
Has Length2[3]
RepresentsMust Clause[8]

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.

typebeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:JSONArray
isValueOfbeam/7bd85e51-293e-474e-97e0-39e4f7463398
"must"
typebeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:QueryArray
containsbeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:match-title-condition
containsbeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:match-content-condition
typebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:Array
hasLengthbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
2
typebeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:JSONArray
labelbeam/ef7935db-f389-498e-baf5-aff58f744d6b
must array
containsElementbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:title-match
containsElementbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:content-match
typebeam/862c9573-384c-4fcf-b141-bb2857e60deb
ex:ArrayStructure
labelbeam/862c9573-384c-4fcf-b141-bb2857e60deb
must array
typebeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:PythonList
labelbeam/52477875-5368-4c2c-89e1-08b2f4d72518
Must Array
typebeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:JSONArray
labelbeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
must array in bool query
typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:QueryArray
labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
must array
containsElementbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:content-match
representsbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:must-clause
typebeam/63484f14-f077-4119-aad4-2ec5f59e1801
ex:CodeElement
labelbeam/63484f14-f077-4119-aad4-2ec5f59e1801
must array
containsbeam/63484f14-f077-4119-aad4-2ec5f59e1801
ex:match-content
typebeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
ex:Array
containsElementbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
ex:match-clause

References (10)

10 references
  1. ctx:claims/beam/7bd85e51-293e-474e-97e0-39e4f7463398
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bd85e51-293e-474e-97e0-39e4f7463398
      Show excerpt
      "bool": { "must": [ { "match": { "title": "example" } }, { "match": { "content": "example" } } ], "filter": [ { "term": { "status": "active" }} ]
  2. ctx:claims/beam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
  3. ctx:claims/beam/c2651687-4b3e-4157-8b59-152b9cf0d729
  4. ctx:claims/beam/ef7935db-f389-498e-baf5-aff58f744d6b
  5. 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
  6. ctx:claims/beam/52477875-5368-4c2c-89e1-08b2f4d72518
    • full textbeam-chunk
      text/plain1 KBdoc:beam/52477875-5368-4c2c-89e1-08b2f4d72518
      Show excerpt
      - **Filter Cache**: Use the filter cache for frequently used filters. ### 4. **Monitor and Profile** - **Use the Explain API**: Use the `_explain` API to understand how Elasticsearch is executing your query. - **Use the Profile API**: Use
  7. ctx:claims/beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
      Show excerpt
      Ensure your queries are optimized for performance. 1. **Use Efficient Query Types**: Prefer `term` and `terms` queries over `match` and `match_phrase` queries when possible. ```json { "query": { "bool": { "mu
  8. ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
  9. ctx:claims/beam/63484f14-f077-4119-aad4-2ec5f59e1801
  10. ctx:claims/beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
      Show excerpt
      "number_of_shards": 5, "number_of_replicas": 1, "refresh_interval": "30s" } mappings = { "properties": { "title": {"type": "text"}, "content": {"type": "text", "analyzer": "standard"} } } # Create an in

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