Highly Scalable SQL Azure MVCC Version Cleaner
Summary: SQL Azure’s MVCC cleaner combines transaction-level tracking, statement-level reclamation, dynamic multithreading, and user-assisted cleanup to prevent lock contention, lagging consumers, and scale-induced space bloat. The techniques are validated at Azure scale across millions of databases. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jithendra Gandikota (Microsoft)
- 2. Prashanth Purnananda (Microsoft)
- 3. Chaitanya Sreenivas Ravella (Microsoft)
- 4. Adrian-Leonard Radu (Microsoft)
- 5. Hanuma Kodavalla (Microsoft)
- 6. Max Garton (Microsoft)
- 7. Allison Ohara (Microsoft)
- 8. Wayne Chen (Microsoft)
- 9. Raghavendra TK (Microsoft)
BibTeX Citation
@article{gandikota_vldb26,
title = {{Highly Scalable SQL Azure MVCC Version Cleaner}},
author = {Gandikota, Jithendra and Purnananda, Prashanth and Ravella, Chaitanya Sreenivas and Radu, Adrian-Leonard and Kodavalla, Hanuma and Garton, Max and Ohara, Allison and Chen, Wayne and TK, Raghavendra},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {3916--3927},
doi = {10.14778/3827998.3828005},
url = {https://doi.org/10.14778/3827998.3828005},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 543 | Socrates: The New SQL Server in the Cloud | 2019 | SIGMOD | 0.0001663263 |
| 2,632 | Hybrid Garbage Collection for Multi-Version Concurrency Control in SAP HANA | 2016 | SIGMOD | 8.1995358e-05 |
| 2,951 | Constant Time Recovery in Azure SQL Database | 2019 | VLDB | 7.8166642e-05 |
| 11,370 | MD-MVCC: Multi-version Concurrency Control for Schema Changes in Azure SQL Database | 2025 | VLDB | 4.9793485e-05 |
| 12,122 | Concurrent Updates to Pages with Fixed-Size Rows Using Lock-Free Algorithms | 2020 | VLDB | 4.9793485e-05 |
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