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Persistent data structure: Examples of persistent data structures, Usage in programming languages & Techniques for preserving previous versions

In computing, a persistent data structure or not ephemeral data structure is a data structure that always preserves the previous version of itself when it is modified. Such data structures are effectively immutable, as their operations do not (visibly) update the structure in-place, but instead always yield a new updated structure. The term was…

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Persistent data structure topic overview

The analysis highlights Examples of persistent data structures, Usage in programming languages and Techniques for preserving previous versions as prominent areas in the source structure around Persistent data structure.

Related topics
74
Source areas
6
Connected nodes
80
Extracted relationships
58
Concept neighborhoods
27
Bridge connections
80

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Examples of persistent data structures · 30 topics
Usage in programming languages · 17 topics
Overview · 12 topics
Techniques for preserving previous versions · 8 topics
Garbage collection · 4 topics
Partial versus full persistence · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Partial versus full persistence

Techniques for preserving previous versions

Examples of persistent data structures

Usage in programming languages

Garbage collection

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Persistent data structure connects Entity context

The extracted context around Persistent data structure shows recurring relationship patterns in the source. For example, Persistent data structure → As, Clojure, Elm, Flux, Immer, Immutable, It, JavaScript, Mori, One, React, Redux, Scala, The, The Redux, This Another extracted example is Persistent data structure → Many, Perhaps, Purely, So, Some, The, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Persistent data structure

Top relations

related to JavaScript · 16
Persistent data structure → As, Clojure, Elm, Flux, Immer, Immutable, It, JavaScript, Mori, One, React, Redux, Scala, The, The Redux, This
related to Examples of persistent data structures · 7
Persistent data structure → Many, Perhaps, Purely, So, Some, The, This
related to Clojure · 6
Persistent data structure → Clojure, Java, Like, Lisp, The, These
related to Prolog · 6
Persistent data structure → Delayed, Extensions, Prolog, Some Prolog, Their, There
related to Copy-on-write · 5
Persistent data structure → Bu, Copy-on-write, One, Theta, This
related to Next element search or point location · 4
Persistent data structure → Assume, Next Element Search, One, We
related to Scala · 4
Persistent data structure → Clojure, Object-Functional Style, Scala, The Scala
related to Garbage collection · 2
Persistent data structure → Because, In
is a · 1
Persistent data structure → singly linked list or cons-based list

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data persistent structure node new time one modification structures displaystyle tree array version nodes table copy box path using used

Persistent data structure relationships Subject–Predicate–Object triples

TTTA extracted 58 structured relationships around Persistent data structure. Examples in this analysis include Persistent data structure → is a → singly linked list or cons-based list and an array to store the data in the data structure → instance of → Techniques for preserving previous versionsCopy-on-writeOne method for creating a persistent data structure is to use a platform provided ephemeral data structure. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Persistent data structureis asingly linked list or cons-based list0.90text
an array to store the data in the data structureinstance ofTechniques for preserving previous versionsCopy-on-writeOne method for creating a persistent data structure is to use a platform provided ephemeral data structure0.80text
copy the entirety of that data structureinstance ofTechniques for preserving previous versionsCopy-on-writeOne method for creating a persistent data structure is to use a platform provided ephemeral data structure0.80text
an array to store the data in the data structureinstance oftime Copy-on-writeOne method for creating a persistent data structure is to use a platform provided ephemeral data structure0.80text
copy the entirety of that data structureinstance oftime Copy-on-writeOne method for creating a persistent data structure is to use a platform provided ephemeral data structure0.80text
binary search treesinstance oftime Generalized form of persistencePath copying is one of the simple methods to achieve persistency in a certain data structure0.80text
reference counting or markinstance ofGarbage collectionBecause persistent data structures are often implemented in such a way that successive versions of a data structure share underlying memory ergonomic use of su…0.80text
sweepinstance ofGarbage collectionBecause persistent data structures are often implemented in such a way that successive versions of a data structure share underlying memory ergonomic use of su…0.80text
Persistent data structurerelated to ClojureLike0.60section
Persistent data structurerelated to ClojureLisp0.60section
Persistent data structurerelated to ClojureClojure0.60section
Persistent data structurerelated to ClojureThese0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Persistent data structure bring nearby vocabulary together. In this analysis, examples include Persistent, Structures and Structure. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Persistent data structure
    • Persistent
    • Structures
    • Structure
    • Use
    • Version
    • Clojure
    • Array
    • Linked
    • Hash
    • Versions
    • Using
    • Node
  • persistent data structure
    • Structure
    • Persistent
    • Structures
    • Version
    • Use
    • Versions
    • Time
    • Clojure
    • Node
    • Array
    • Linked
    • Using
  • data structure
    • Structure
    • Persistent
    • Structures
    • Version
    • Versions
    • Time
    • Node
    • Use
    • Using
    • Linked
    • Functional
    • Space
  • array
    • Hash
    • Clojure
    • Persistent
    • Use
    • Path
    • Linked
    • Modification
    • Versions
    • Log
    • Point
    • Structure
    • Time
  • rope data structure
    • Structure
    • Persistent
    • Structures
    • Version
    • Versions
    • Time
    • Node
    • Use
    • Using
    • Linked
    • Functional
    • Space
  • linked data structure
    • Structure
    • Persistent
    • Structures
    • Version
    • Clojure
    • Contains
    • Versions
    • Time
    • Node
    • Use
    • Using
    • Linked
  • sorted array
    • Hash
    • Clojure
    • Persistent
    • Use
    • Path
    • Linked
    • Modification
    • Versions
    • Log
    • Point
    • Structure
    • Time
  • purely functional data structures
    • Structure
    • Persistent
    • Structures
    • Use
    • Clojure
    • Version
    • Time
    • Using
    • Fat
    • Node
    • Functional
    • Versions

Connections between topic areas Semantic bridges

For Persistent data structure, one of the stronger structural bridges in this analysis connects Persistent data structure with Examples of persistent data structures. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Persistent data structure — Examples of persistent data structures · splits 50 ⟂ 31
Persistent data structure — Usage in programming languages · splits 63 ⟂ 18
Persistent data structure — Overview · splits 68 ⟂ 13
Persistent data structure — Techniques for preserving previous versions · splits 72 ⟂ 9
Persistent data structure — Garbage collection · splits 76 ⟂ 5
Persistent data structure — Partial versus full persistence · splits 77 ⟂ 4

Map overview Semantic statistics

Persistent data structure

Nodes81
Edges80
Triples58
Avg. degree1.98
Density0.024691
Components1

Source & methodology

TTTA analyzes the structure around Persistent data structure to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Examples of persistent data structures, Usage in programming languages & Techniques for preserving previous versions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Persistent data structure · EN edition · Analysis: TopicsToTalkAbout

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