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Persistent data structures are data structures that preserve their previous versions when modified. This means that any update to the structure does not overwrite the existing data but instead creates a new version of the structure. These structures are effectively immutable, as their operations yield a new updated structure without altering the original one1.
Types of Persistence
Partially Persistent: All versions can be accessed, but only the newest version can be modified.
Fully Persistent: Every version can be both accessed and modified.
Confluently Persistent: Allows merging two or more versions to create a new version, forming a Directed Acyclic Graph (DAG) on the version graph2.
Examples and Implementation
Linked List Concatenation
Consider concatenating two singly linked lists while preserving the original lists. A more efficient way involves copying only the smaller list and making the necessary connections:
Persistent data structures - GeeksforGeeks
Feb 28, 2024 · A persistent data structure is a data structure that always preserves the previous version of itself when it is modified. They can be …
- Estimated Reading Time: 9 mins
Persistent data structure - Wikipedia
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 introduced in Driscoll, Sarnak, Sleator, and Tarjan's 1986 article.
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 9 mins
Persistent vs. Ephemeral!An ephemeral data structure is one for which only one version is available at a time: after an update operation, the structure as it existed before the update is …
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Types of Data Structures - OpenGenus IQ
Persistent Data Structure is a data structure which stores the state of the data structure at every timestamp whenever an operation (like insert or delete) is done which modifies the structure of …
Persistent data structures are really data structures with archaeology. Partial persistence lets you make modifications only to the present data structure but allows queries of any previous …
CS 15-212: Lecture 17 - CMU School of Computer Science
Lecture 17: Ephemeral Data Structures. Previously, within the purely functional part of ML, we saw that all values were persistent. At worst, a binding might shadow a previous binding. As a …
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Persistent data structures do not lose any information. For several cases of data structures and definitions of persistence it is possible to transform a plain data structure into a persistent one …
Persistent Data Structures · USACO Guide
A persistent data structure is a data structure that preserves the previous versions of itself when modified, allowing access to any historical version. In other words, once a change is made to …
Idea: be able to query and/or modify past versions of data structure. • ephemeral: changes to struct destroy all past info • partial persistence: changes to most recent version, query to all …
Persistent Data Structures – Unsung Citizens of The Data …
The main difference between classic (or ephemeral) and persistent data structures is that in case of an ephemeral implementation (e.g. Java built in collections) we do not store information …
Persistent data structures - Xavier Leroy
The course presents the main persistent data structures known today, some implemented in a purely functional way and others using hidden imperative modifications, and describes the …
Introduction to Persistent Data Structures - Arpit Bhayani
Ordinary data structures are ephemeral implying that any update made to it destroys the old version and all we are left with is the updated latest one. Persistent Data Structures change …
Persistent Data Structures
Our goal: use simulation to transform any ephemeral data structure into a persistent one measure of success: time and space cost for each primitive traversal and primitive modification step. An …
Lecture 2 - Persistent Data Structures - Massachusetts Institute of ...
One natural way to make a data structure persistent is to add a modification history to every node. Thus, each node knows what its value was at any previous point in time. (For a fully persistent …
Intro to Persistent Data Structures - by Jeff Schwab
Jul 18, 2021 · Structures that support multiple, concurrent versions of data are described as persistent, in contrast to ephemeral structures that support only one version at a time. …
Persistent Data Structures 6.854 Notes #2 - Massachusetts …
Our goal: use simulation to transform any ephemeral data structure into a persistent one. measure of success: time and space cost for each primitive traversal and primitive modification step. …
In this report, we will introduce two generic techniques to make linked struc-tures persistent at small cost in time and space. First, we need to formally define a few terms that will run through …
We can characterize ephemeral and persistent data structures based on the allowed kinds of operation sequences. An ephemeral structure supports only sequences in which each …
”Making Data Structures Persistent” by Driscoll, Sarnak, Sleator and Tarjan Journal of Computer and System Sciences 38(1) 1989 Idea: be able to query and/or modify past versions of data …
Today we’ll study persistent data structures with imperative implementations. Moreover, the persistent structure is derived semi-systematically from an ephemeral structure: • Arrays …
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