Transaction Log Based Application Error Recovery and Point In-Time Query
Summary: A transaction-log-based recovery scheme rewinds a live database to arbitrary past points for user/application error recovery, avoiding costly periodic full backups. It lazily materializes prior versions only for accessed data, exposing consistent point-in-time queries via SQL Server snapshots. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Tomas Talius (Microsoft)
- 2. Robin Dhamankar (Microsoft)
- 3. Andrei Dumitrache (Microsoft)
- 4. Hanuma Kodavalla (Microsoft)
BibTeX Citation
@article{talius_vldb12,
title = {{Transaction Log Based Application Error Recovery and Point In-Time Query}},
author = {Talius, Tomas and Dhamankar, Robin and Dumitrache, Andrei and Kodavalla, Hanuma},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
doi = {10.14778/2367502.2367517},
url = {https://doi.org/10.14778/2367502.2367517},
year = {2012}
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,207 | Immortal DB: Transaction Time Support for SQL Server | 2005 | SIGMOD | 0.00011538247 |
| 3,097 | Skippy: a New Snapshot Indexing Method for Time Travel in the Storage Manager | 2008 | SIGMOD | 7.6524049e-05 |
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