Understanding Inconsistency in Azure Cosmos DB with TLA+
October 24, 2022 Β· Declared Dead Β· π 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
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Authors
A. Finn Hackett, Joshua Rowe, Markus Alexander Kuppe
arXiv ID
2210.13661
Category
cs.SE: Software Engineering
Citations
13
Venue
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Last Checked
3 months ago
Abstract
Beyond implementation correctness of a distributed system, it is equally important to understand exactly what users should expect to see from that system. Even if the system itself works as designed, insufficient understanding of its user-visible semantics can cause bugs in its dependencies. By focusing a formal specification effort on precisely defining the expected user-facing behaviors of the Azure Cosmos DB service at Microsoft, we were able to write a formal specification of the database that was significantly smaller and conceptually simpler than any other specification of Cosmos DB, while representing a wider range of valid user-observable behaviors than existing more detailed specifications. Many of the additional behaviors we documented were previously poorly understood outside of the Cosmos DB development team, even informally, leading to data consistency errors in Microsoft products that depend on it. Using this model, we were able to raise two key issues in Cosmos DB's public-facing documentation, which have since been addressed. We were also able to offer a fundamental solution to a previous high-impact outage within another Azure service that depends on Cosmos DB.
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