Dontopedia

must

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

must has 53 facts recorded in Dontopedia across 15 references, with 9 live disagreements.

53 facts·20 predicates·15 sources·9 in dispute

Mostly:rdf:type(14), contains(6), contains match(4)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (27)

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.

hasClauseHas Clause(5)

containsContains(2)

hasClauseTypeHas Clause Type(2)

hasComponentHas Component(2)

hasMustClauseHas Must Clause(2)

isComponentOfIs Component of(2)

memberOfMember of(2)

combinesClausesCombines Clauses(1)

composedOfComposed of(1)

consistsOfConsists of(1)

hasChildHas Child(1)

hasMustHas Must(1)

hasSubClauseHas Sub Clause(1)

inverseHasMustClauseInverse Has Must Clause(1)

representsRepresents(1)

supportsSupports(1)

usesClauseUses Clause(1)

Other facts (33)

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.

33 facts
PredicateValueRef
ContainsMatch Title[2]
ContainsMatch Content[2]
ContainsMatch Query[4]
ContainsMatch Query[6]
ContainsTerm Query[10]
ContainsMatch Condition[13]
Contains MatchTitle Match[3]
Contains MatchContent Match[3]
Contains MatchTitle Match[8]
Contains MatchContent Match[8]
Member ofBool Component[5]
Member ofBool Query[7]
Member ofBool Query[9]
Contains Match QueryTitle Match Query[1]
Contains Match QueryContent Match Query[1]
Is Part ofBool Clause[1]
Is Part ofQuery Object[10]
Contains ComponentMatch Component Title[5]
Contains ComponentMatch Component Content[5]
Has MemberMatch Title[7]
Has MemberMatch Content[7]
Contains Number of Match Queries2[1]
Enforces All Conditionstrue[1]
Requires All Matchestrue[3]
Has Clause TypeMust[3]
Has Size2[7]
RequiresMatch Condition[8]
Is Array oftrue[8]
Requires Proper Use ofBool Query[9]
Semantic RoleRequired Condition[9]
Contains ListMust Array[10]
Contained byBool Query[12]
Has ChildMatch Condition[13]

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/870d36e1-74c7-4923-a45d-7839861584f0
ex:MustClause
containsMatchQuerybeam/870d36e1-74c7-4923-a45d-7839861584f0
ex:title-match-query
containsMatchQuerybeam/870d36e1-74c7-4923-a45d-7839861584f0
ex:content-match-query
isPartOfbeam/870d36e1-74c7-4923-a45d-7839861584f0
ex:bool-clause
containsNumberOfMatchQueriesbeam/870d36e1-74c7-4923-a45d-7839861584f0
2
enforcesAllConditionsbeam/870d36e1-74c7-4923-a45d-7839861584f0
true
typebeam/4931893a-21c0-49de-a0fb-85e382ef77d4
ex:ElasticsearchClause
containsbeam/4931893a-21c0-49de-a0fb-85e382ef77d4
ex:match-title
containsbeam/4931893a-21c0-49de-a0fb-85e382ef77d4
ex:match-content
containsMatchbeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:title-match
containsMatchbeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:content-match
typebeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:QueryClause
requiresAllMatchesbeam/7bd85e51-293e-474e-97e0-39e4f7463398
true
hasClauseTypebeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:must
typebeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:QueryClause
containsbeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:match-query
typebeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:MustClause
containsComponentbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:match-component-title
containsComponentbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:match-component-content
memberOfbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:bool-component
containsbeam/da7bd534-79a8-4eed-8605-b5947e8a32d2
ex:match-query
typebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:Array
hasMemberbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:match-title
hasMemberbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:match-content
hasSizebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
2
memberOfbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:bool-query
typebeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:ElasticsearchClause
labelbeam/ef7935db-f389-498e-baf5-aff58f744d6b
must clause
containsMatchbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:title-match
containsMatchbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:content-match
requiresbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:match-condition
isArrayOfbeam/ef7935db-f389-498e-baf5-aff58f744d6b
true
typebeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:QueryClause
labelbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
must clause
memberOfbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:bool-query
requiresProperUseOfbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:bool-query
semanticRolebeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:required-condition
typebeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:QueryClause
containsbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:term-query
isPartOfbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:query-object
containsListbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:must-array
typebeam/2157dee9-e970-4d48-9c1b-078d02e8d4d8
ex:QueryClause
labelbeam/2157dee9-e970-4d48-9c1b-078d02e8d4d8
must
typebeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:QueryClause
labelbeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
must clause
containedBybeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:bool-query
typebeam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
ex:ElasticsearchClause
hasChildbeam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
ex:match-condition
containsbeam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
ex:match-condition
typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:
labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
must clause semantics
typebeam/63484f14-f077-4119-aad4-2ec5f59e1801
ex:ElasticsearchQueryComponent
labelbeam/63484f14-f077-4119-aad4-2ec5f59e1801
must

References (15)

15 references
  1. ctx:claims/beam/870d36e1-74c7-4923-a45d-7839861584f0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/870d36e1-74c7-4923-a45d-7839861584f0
      Show excerpt
      "bool": { "must": [ { "match": { "title": "example" } }, { "match": { "content": "example" } } ], "filter": [ { "term": { "status": "active" }} # Assuming there's a status field that can be fil
  2. ctx:claims/beam/4931893a-21c0-49de-a0fb-85e382ef77d4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4931893a-21c0-49de-a0fb-85e382ef77d4
      Show excerpt
      Present a scenario where the candidate needs to apply optimization principles to solve a specific problem. This approach evaluates their ability to think critically and apply optimization techniques in a practical context. #### Example Sce
  3. 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" }} ]
  4. ctx:claims/beam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
  5. ctx:claims/beam/efb3ed65-230c-41db-a23e-f92943558c0c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/efb3ed65-230c-41db-a23e-f92943558c0c
      Show excerpt
      **Objective:** Optimize the provided queries for better performance and explain the reasoning behind each optimization step. 1. **Basic Query Optimization** - **Query:** ```python query = { "query": { "match":
  6. ctx:claims/beam/da7bd534-79a8-4eed-8605-b5947e8a32d2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/da7bd534-79a8-4eed-8605-b5947e8a32d2
      Show excerpt
      metadata.update_artifact("1", name="UpdatedArtifact1", version="1.1", owner="Charlie") # Remove artifact metadata.remove_artifact("2") # Search artifacts results = metadata.search_artifacts(owner="Charlie") for artifact in results: pr
  7. ctx:claims/beam/c2651687-4b3e-4157-8b59-152b9cf0d729
  8. ctx:claims/beam/ef7935db-f389-498e-baf5-aff58f744d6b
  9. ctx:claims/beam/67b3880f-4304-41f2-a990-5fffd8b6b339
    • full textbeam-chunk
      text/plain1 KBdoc:beam/67b3880f-4304-41f2-a990-5fffd8b6b339
      Show excerpt
      - Understanding when to use `match`, `term`, `bool`, `filter`, etc. - Proper use of `must`, `should`, `must_not`, and `filter` clauses. 2. **Filter Context**: - Using `filter` context for conditions that can be cached and reused.
  10. 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
  11. ctx:claims/beam/2157dee9-e970-4d48-9c1b-078d02e8d4d8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2157dee9-e970-4d48-9c1b-078d02e8d4d8
      Show excerpt
      - **Index Shards**: Ensure that the number of shards is appropriate for your data volume. Too many shards can lead to performance degradation. ```json PUT /your-index-name/_settings { "number_of_shards": 5 } ``` ### 2. Query
  12. 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
  13. ctx:claims/beam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
  14. ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
  15. ctx:claims/beam/63484f14-f077-4119-aad4-2ec5f59e1801

See also

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