Dontopedia

Field Data Cache

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Field Data Cache has 27 facts recorded in Dontopedia across 6 references, with 5 live disagreements.

27 facts·15 predicates·6 sources·5 in dispute

Mostly:rdf:type(6), stores(3), used for(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

describesDescribes(2)

appearsInAppears in(1)

associatedWithAssociated With(1)

consist-ofConsist of(1)

containsContains(1)

hasComponentHas Component(1)

has-subtypeHas Subtype(1)

mentionsMentions(1)

monitorsMonitors(1)

providesStatisticsForProvides Statistics for(1)

targetsTargets(1)

Other facts (25)

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.

25 facts
PredicateValueRef
Rdf:typeCache Mechanism[1]
Rdf:typeElasticsearch Component[2]
Rdf:typeCache Subtype[3]
Rdf:typeElasticsearch Cache[4]
Rdf:typeCache Type[5]
Rdf:typeElasticsearch Cache[6]
StoresSorting Data[1]
StoresAggregation Data[1]
StoresScripting Data[1]
Used forsorting[4]
Used foraggregations[4]
Used forscripting[4]
Has ParameterParameter Enabled[4]
Has ParameterParameter Size[4]
Is Subtype ofCache[3]
Section Number3[4]
Title Formatbold text[4]
Performance Effecthelp with performance in sorting, aggregations, and scripting[4]
Inverse ofPerformance Areas[4]
CausesPerformance Help[4]
Stores Typedata structures[4]
Enabling Requirementindex.cache.field_data.enabled=true[4]
Has Size ParameterCache Size Parameter[4]
Full Title**Field Data Cache**[4]
Purposespeed up aggregations and sorting[6]

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/808961c2-f3d9-4557-bdcf-683581adf090
ex:CacheMechanism
storesbeam/808961c2-f3d9-4557-bdcf-683581adf090
ex:sorting-data
storesbeam/808961c2-f3d9-4557-bdcf-683581adf090
ex:aggregation-data
storesbeam/808961c2-f3d9-4557-bdcf-683581adf090
ex:scripting-data
typebeam/29447b7c-26b7-4bdf-9eff-684a098531c0
ex:ElasticsearchComponent
typebeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:CacheSubtype
is-subtype-ofbeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:cache
typebeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:ElasticsearchCache
sectionNumberbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
3
titleFormatbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
bold text
performanceEffectbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
help with performance in sorting, aggregations, and scripting
inverseOfbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:performance-areas
causesbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:performance-help
storesTypebeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
data structures
usedForbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
sorting
usedForbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
aggregations
usedForbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
scripting
enablingRequirementbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
index.cache.field_data.enabled=true
hasSizeParameterbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:cache-size-parameter
hasParameterbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:parameter-enabled
hasParameterbeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
ex:parameter-size
fullTitlebeam/830cf546-5d76-4fdb-b5b4-66781d9200e9
**Field Data Cache**
typebeam/01694369-36b2-433e-8e44-120d8bc9dfc8
ex:CacheType
labelbeam/01694369-36b2-433e-8e44-120d8bc9dfc8
Field Data Cache
typebeam/f4eafbd9-2b49-42e3-8a19-d812701aab05
ex:ElasticsearchCache
labelbeam/f4eafbd9-2b49-42e3-8a19-d812701aab05
Field Data Cache
purposebeam/f4eafbd9-2b49-42e3-8a19-d812701aab05
speed up aggregations and sorting

References (6)

6 references
  1. ctx:claims/beam/808961c2-f3d9-4557-bdcf-683581adf090
  2. ctx:claims/beam/29447b7c-26b7-4bdf-9eff-684a098531c0
    • full textbeam-chunk
      text/plain931 Bdoc:beam/29447b7c-26b7-4bdf-9eff-684a098531c0
      Show excerpt
      "index.merge.policy.segments_per_tier": 10 } ``` ### Summary To reduce query latency in Elasticsearch, you can adjust several index settings: 1. **Refresh Interval**: Increase the interval to reduce overhead. 2. **Shards and Replicas**
  3. ctx:claims/beam/955c7d8a-4e54-4841-8759-1597ba83080c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/955c7d8a-4e54-4841-8759-1597ba83080c
      Show excerpt
      ### 4. **Size of Caches** The sizes of these caches can be specified as a percentage of the heap or in bytes. Adjusting these values can help balance memory usage and performance. ```json PUT /logs/_settings { "index.cache.query.size":
  4. ctx:claims/beam/830cf546-5d76-4fdb-b5b4-66781d9200e9
  5. ctx:claims/beam/01694369-36b2-433e-8e44-120d8bc9dfc8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/01694369-36b2-433e-8e44-120d8bc9dfc8
      Show excerpt
      "index.cache.field_data.enabled": true, "index.cache.field_data.size": "10%", "index.cache.eviction": "lru", "index.warmer.enabled": true, "index.warmer.delay": "10s" } ``` ### Monitoring and Tuning After making these adjustment
  6. ctx:claims/beam/f4eafbd9-2b49-42e3-8a19-d812701aab05
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f4eafbd9-2b49-42e3-8a19-d812701aab05
      Show excerpt
      {"_index": "query_index", "_source": {"query": "How do I find happiness?"}}, # Add more actions as needed ] helpers.bulk(es, actions) ``` ### 4. **Caching** Enable caching to reduce the load on the database for frequently accessed

See also

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