Dontopedia

LRU

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

LRU has 28 facts recorded in Dontopedia across 4 references, with 3 live disagreements.

28 facts·20 predicates·4 sources·3 in dispute

Mostly:rdf:type(4), has section(3), has description(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (11)

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.

implementsImplements(2)

usedByUsed by(2)

demonstratesDemonstrates(1)

enablesEnables(1)

enforcesEnforces(1)

hasMemberHas Member(1)

hasSequenceHas Sequence(1)

isCategoryOfIs Category of(1)

proposedSolutionProposed Solution(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 Eviction Policy[1]
Rdf:typeCache Policy[2]
Rdf:typeCache Policy[3]
Rdf:typeCache Eviction Policy[3]
Has SectionDescription[1]
Has SectionUse Case[1]
Has SectionImplementation[1]
Has DescriptionEvicts the least recently used items first.[1]
Has Use CaseSuitable for scenarios where recently accessed items are likely to be accessed again soon.[1]
Has ImplementationPython's collections.OrderedDict can be used to implement LRU.[1]
Has Ordinal Position1[1]
Eviction Criterionrecency[1]
Optimization Goalrecent-access-patterns[1]
Compared toLfu Policy[1]
Contrast WithFifo Policy[1]
Requires Data Structureordered-dictionary[1]
Implementation LanguagePython[1]
Tracking Mechanismrecency-order[1]
Best fortemporal locality[2]
Suited forTemporal Locality[2]
Recommended forTemporal Locality[3]
MaintainsAccess Timestamps[3]
Advantagekeeps-most-relevant-items[3]
UsesOrdered Dict[3]
Stands forLeast-Recently-Used[4]

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/91dcf867-e933-4097-8012-b94bcb43e450
ex:CacheEvictionPolicy
labelbeam/91dcf867-e933-4097-8012-b94bcb43e450
Least Recently Used (LRU)
hasDescriptionbeam/91dcf867-e933-4097-8012-b94bcb43e450
Evicts the least recently used items first.
hasUseCasebeam/91dcf867-e933-4097-8012-b94bcb43e450
Suitable for scenarios where recently accessed items are likely to be accessed again soon.
hasImplementationbeam/91dcf867-e933-4097-8012-b94bcb43e450
Python's collections.OrderedDict can be used to implement LRU.
hasOrdinalPositionbeam/91dcf867-e933-4097-8012-b94bcb43e450
1
evictionCriterionbeam/91dcf867-e933-4097-8012-b94bcb43e450
recency
optimizationGoalbeam/91dcf867-e933-4097-8012-b94bcb43e450
recent-access-patterns
hasSectionbeam/91dcf867-e933-4097-8012-b94bcb43e450
Description
hasSectionbeam/91dcf867-e933-4097-8012-b94bcb43e450
Use Case
hasSectionbeam/91dcf867-e933-4097-8012-b94bcb43e450
Implementation
comparedTobeam/91dcf867-e933-4097-8012-b94bcb43e450
ex:lfu-policy
contrastWithbeam/91dcf867-e933-4097-8012-b94bcb43e450
ex:fifo-policy
requiresDataStructurebeam/91dcf867-e933-4097-8012-b94bcb43e450
ordered-dictionary
implementationLanguagebeam/91dcf867-e933-4097-8012-b94bcb43e450
Python
trackingMechanismbeam/91dcf867-e933-4097-8012-b94bcb43e450
recency-order
typebeam/b7d37332-1946-4b7c-bfd0-a11c0c8a6435
ex:CachePolicy
bestForbeam/b7d37332-1946-4b7c-bfd0-a11c0c8a6435
temporal locality
labelbeam/b7d37332-1946-4b7c-bfd0-a11c0c8a6435
LRU
suitedForbeam/b7d37332-1946-4b7c-bfd0-a11c0c8a6435
ex:temporal-locality
typebeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
ex:CachePolicy
labelbeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
Least Recently Used (LRU)
recommendedForbeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
ex:temporal-locality
typebeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
ex:CacheEvictionPolicy
maintainsbeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
ex:access-timestamps
advantagebeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
keeps-most-relevant-items
usesbeam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
ex:ordered-dict
stands-forbeam/955c7d8a-4e54-4841-8759-1597ba83080c
Least-Recently-Used

References (4)

4 references
  1. ctx:claims/beam/91dcf867-e933-4097-8012-b94bcb43e450
  2. ctx:claims/beam/b7d37332-1946-4b7c-bfd0-a11c0c8a6435
  3. ctx:claims/beam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
    • full textbeam-chunk
      text/plain1 KBdoc:beam/17e0b8c1-18d2-432e-8c2b-41ef0bb93b22
      Show excerpt
      - **Use Case:** Useful for data that becomes stale after a certain period. - **Implementation:** Requires tracking the timestamp of each item. ### Recommendation for Your Use Case Given your requirement to reduce memory spikes by 22
  4. 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":

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.