Dontopedia

filter

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

filter has 50 facts recorded in Dontopedia across 12 references, with 5 live disagreements.

50 facts·30 predicates·12 sources·5 in dispute

Mostly:rdf:type(11), member of(3), is part of(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (22)

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(4)

hasComponentHas Component(3)

containsContains(2)

hasFilterClauseHas Filter Clause(2)

combinesClausesCombines Clauses(1)

enhancedByEnhanced by(1)

hasClauseTypeHas Clause Type(1)

hasFilterScopeHas Filter Scope(1)

hasQueryComponentHas Query Component(1)

inverseHasFilterClauseInverse Has Filter Clause(1)

isComponentOfIs Component of(1)

memberOfMember of(1)

relatedToRelated to(1)

representsRepresents(1)

supplementsSupplements(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
Member ofBool Component Advanced[6]
Member ofBool Query[7]
Member ofBool Query[8]
Is Part ofBool Clause[1]
Is Part ofQuery Object[9]
ContainsTerm Query[5]
ContainsRange Query[9]
Contains Term QueryStatus Term Query[1]
Has Number of Filter Clauses1[1]
Contains Number of Term Queries1[1]
Enables Cachingtrue[1]
Contains ConditionStatus Term[2]
Is Non Scoringtrue[2]
Contains TermStatus Term[3]
Applies Post Matchtrue[3]
Has Clause TypeFilter[3]
Used forConditions[4]
Can Be Cachedtrue[4]
Can Be Reusedtrue[4]
ImprovesPerformance[4]
EnablesCaching[4]
Results inPerformance Improvement[4]
SupportsCaching[4]
Distinguished FromMatch[4]
Contains ComponentTerm Component[6]
Applies Filter ConditionTerm Component[6]
Optimization Techniqueboolean filtering[6]
Has MemberTerm Status[7]
Has Size1[7]
Related toQuery Type Selection[8]
Requires Proper Use ofBool Query[8]
Contains ListFilter Array[9]
Contained byBool Query[10]

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:FilterClause
containsTermQuerybeam/870d36e1-74c7-4923-a45d-7839861584f0
ex:status-term-query
isPartOfbeam/870d36e1-74c7-4923-a45d-7839861584f0
ex:bool-clause
hasNumberOfFilterClausesbeam/870d36e1-74c7-4923-a45d-7839861584f0
1
containsNumberOfTermQueriesbeam/870d36e1-74c7-4923-a45d-7839861584f0
1
enablesCachingbeam/870d36e1-74c7-4923-a45d-7839861584f0
true
containsConditionbeam/f694598a-df7a-4886-8398-f1e30d357808
ex:status-term
isNonScoringbeam/f694598a-df7a-4886-8398-f1e30d357808
true
containsTermbeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:status-term
typebeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:QueryClause
appliesPostMatchbeam/7bd85e51-293e-474e-97e0-39e4f7463398
true
hasClauseTypebeam/7bd85e51-293e-474e-97e0-39e4f7463398
ex:filter
typebeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:QueryClause
labelbeam/34481d18-12ca-404b-8e16-be03c227ca26
filter
usedForbeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:conditions
canBeCachedbeam/34481d18-12ca-404b-8e16-be03c227ca26
true
canBeReusedbeam/34481d18-12ca-404b-8e16-be03c227ca26
true
improvesbeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:performance
enablesbeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:caching
resultsInbeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:performance-improvement
supportsbeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:caching
distinguishedFrombeam/34481d18-12ca-404b-8e16-be03c227ca26
ex:match
typebeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:QueryClause
containsbeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:term-query
typebeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:FilterClause
containsComponentbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:term-component
memberOfbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:bool-component-advanced
appliesFilterConditionbeam/efb3ed65-230c-41db-a23e-f92943558c0c
ex:term-component
optimizationTechniquebeam/efb3ed65-230c-41db-a23e-f92943558c0c
boolean filtering
typebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:Array
hasMemberbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:term-status
hasSizebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
1
memberOfbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:bool-query
typebeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:QueryClause
labelbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
filter clause
memberOfbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:bool-query
relatedTobeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:query-type-selection
requiresProperUseOfbeam/67b3880f-4304-41f2-a990-5fffd8b6b339
ex:bool-query
typebeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:QueryClause
labelbeam/52477875-5368-4c2c-89e1-08b2f4d72518
filter clause
containsbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:range-query
isPartOfbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:query-object
containsListbeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:filter-array
typebeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:QueryClause
labelbeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
filter clause
containedBybeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:bool-query
typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:FilterSemantics
labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
filter clause semantics
typebeam/63484f14-f077-4119-aad4-2ec5f59e1801
ex:ElasticsearchQueryComponent
labelbeam/63484f14-f077-4119-aad4-2ec5f59e1801
filter

References (12)

12 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/f694598a-df7a-4886-8398-f1e30d357808
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f694598a-df7a-4886-8398-f1e30d357808
      Show excerpt
      "title": "example" } } } ``` 2. **Intermediate Query Optimization** - Provide a moderately complex query with multiple conditions. - Example: ```python query = { "query": {
  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/34481d18-12ca-404b-8e16-be03c227ca26
  5. ctx:claims/beam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
  6. 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":
  7. ctx:claims/beam/c2651687-4b3e-4157-8b59-152b9cf0d729
  8. 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.
  9. 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
  10. 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
  11. ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
  12. ctx:claims/beam/63484f14-f077-4119-aad4-2ec5f59e1801

See also

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