Dontopedia

filter array

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

filter array has 38 facts recorded in Dontopedia across 14 references, with 5 live disagreements.

38 facts·11 predicates·14 sources·5 in dispute

Mostly:rdf:type(14), contains element(4), contains(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (15)

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.

containsArrayContains Array(2)

hasFilterHas Filter(2)

consistsOfConsists of(1)

containsFilterArrayContains Filter Array(1)

containsListContains List(1)

hasComponentHas Component(1)

hasFilterArrayHas Filter Array(1)

hasFilterClauseHas Filter Clause(1)

hasNestedArrayHas Nested Array(1)

isReferencedInIs Referenced in(1)

partOfPart of(1)

supportsSupports(1)

usedInUsed in(1)

Other facts (16)

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.

16 facts
PredicateValueRef
Contains ElementTerm Filter[8]
Contains ElementTitle Term[10]
Contains ElementTerm Clause[11]
Contains ElementSynonym Filter[13]
ContainsStatus Term Filter[2]
ContainsLowercase[14]
ContainsSynonym Filter[14]
Memberlowercase[12]
Membersynonym_filter[12]
Is Value of"filter"[1]
Has Length1[3]
Has ElementTerm Filter[4]
Has Nested ObjectTerm Filter[4]
Is Incompletetrue[9]
RepresentsFilter Clause[10]
Order Matterstrue[14]

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
"filter"
typebeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:QueryArray
containsbeam/30cfcb2d-27af-4962-b51a-166d7c86b3a4
ex:status-term-filter
typebeam/c2651687-4b3e-4157-8b59-152b9cf0d729
ex:Array
hasLengthbeam/c2651687-4b3e-4157-8b59-152b9cf0d729
1
typebeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:JSONArray
labelbeam/ef7935db-f389-498e-baf5-aff58f744d6b
filter array
hasElementbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:term-filter
hasNestedObjectbeam/ef7935db-f389-498e-baf5-aff58f744d6b
ex:term-filter
typebeam/862c9573-384c-4fcf-b141-bb2857e60deb
ex:ArrayStructure
labelbeam/862c9573-384c-4fcf-b141-bb2857e60deb
filter array
typebeam/52477875-5368-4c2c-89e1-08b2f4d72518
ex:PythonList
labelbeam/52477875-5368-4c2c-89e1-08b2f4d72518
Filter Array
typebeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:JSONArray
labelbeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
filter array in bool query
typebeam/140a4b27-e76f-488e-90e4-c043718c0aff
ex:ElasticsearchFilterCollection
containsElementbeam/140a4b27-e76f-488e-90e4-c043718c0aff
ex:term-filter
typebeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
ex:QueryClause
labelbeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
Filter Array
isIncompletebeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
true
typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:FilterArray
labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
filter array
containsElementbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:title-term
representsbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
ex:filter-clause
typebeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
ex:Array
containsElementbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
ex:term-clause
typebeam/06b4c25a-1508-496d-a7cb-ac62d70720b0
ex:StringArray
memberbeam/06b4c25a-1508-496d-a7cb-ac62d70720b0
lowercase
memberbeam/06b4c25a-1508-496d-a7cb-ac62d70720b0
synonym_filter
typebeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:FilterArray
labelbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
Filter Array
containsElementbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:synonym-filter
typebeam/009c923b-307a-4fea-925e-20fa07694470
ex:Array
labelbeam/009c923b-307a-4fea-925e-20fa07694470
Filter array
containsbeam/009c923b-307a-4fea-925e-20fa07694470
ex:lowercase
containsbeam/009c923b-307a-4fea-925e-20fa07694470
ex:synonym_filter
orderMattersbeam/009c923b-307a-4fea-925e-20fa07694470
true

References (14)

14 references
  1. ctx:claims/beam/7bd85e51-293e-474e-97e0-39e4f7463398
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bd85e51-293e-474e-97e0-39e4f7463398
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      "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
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      - 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
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      - **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/140a4b27-e76f-488e-90e4-c043718c0aff
    • full textbeam-chunk
      text/plain1003 Bdoc:beam/140a4b27-e76f-488e-90e4-c043718c0aff
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      2. **Check Slow Logs**: Enable slow log profiling to identify any slow queries and ensure they are not affected by the excluded fields. ### Example Code Here is an example of how you might optimize your query and Elasticsearch settings
  9. ctx:claims/beam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
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      - Use `refresh_interval` setting in the index settings. ### Example Configuration Here's an example of how you might configure your Elasticsearch index and queries for better performance: ```python from elasticsearch import Elasticsear
  10. ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
  11. ctx:claims/beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
    • full textbeam-chunk
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      "number_of_shards": 5, "number_of_replicas": 1, "refresh_interval": "30s" } mappings = { "properties": { "title": {"type": "text"}, "content": {"type": "text", "analyzer": "standard"} } } # Create an in
  12. ctx:claims/beam/06b4c25a-1508-496d-a7cb-ac62d70720b0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/06b4c25a-1508-496d-a7cb-ac62d70720b0
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      'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom',
  13. ctx:claims/beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
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      'term': {'type': 'text', 'analyzer': 'synonym_analyzer'} } }, 'settings': { 'index.refresh_interval': '30s', # Increase refresh interval 'number_of_shards': 1, # Adjust based on data size
  14. ctx:claims/beam/009c923b-307a-4fea-925e-20fa07694470
    • full textbeam-chunk
      text/plain1 KBdoc:beam/009c923b-307a-4fea-925e-20fa07694470
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      - The `add_synonym` method adds a synonym to the dictionary, associating it with a specific term and context. 3. **Retrieving Synonyms**: - The `get_synonyms` method retrieves the synonyms for a given term and context. 4. **Rewritin

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