Collaborative Text Editing with Eg-walker: Better, Faster, Smaller
September 21, 2024 Β· Declared Dead Β· π European Conference on Computer Systems
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Authors
Joseph Gentle, Martin Kleppmann
arXiv ID
2409.14252
Category
cs.DC: Distributed Computing
Citations
3
Venue
European Conference on Computer Systems
Last Checked
3 months ago
Abstract
Collaborative text editing algorithms allow several users to concurrently modify a text file, and automatically merge concurrent edits into a consistent state. Existing algorithms fall in two categories: Operational Transformation (OT) algorithms are slow to merge files that have diverged substantially due to offline editing; CRDTs are slow to load and consume a lot of memory. We introduce Eg-walker, a collaboration algorithm for text that avoids these weaknesses. Compared to existing CRDTs, it consumes an order of magnitude less memory in the steady state, and loading a document from disk is orders of magnitude faster. Compared to OT, merging long-running branches is orders of magnitude faster. In the worst case, the merging performance of Eg-walker is comparable with existing CRDT algorithms. Eg-walker can be used everywhere CRDTs are used, including peer-to-peer systems without a central server. By offering performance that is competitive with centralised algorithms, our result paves the way towards the widespread adoption of peer-to-peer collaboration software.
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