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The popular isolation level Multiversion Read Committed (RC) trades some of the strong guarantees of serializability for increased transaction throughput. Sometimes, transaction workloads can be safely executed under RC obtaining serializability at the lower cost of RC. Such workloads are said to be robust against RC. Previous work has yielded a tractable procedure for deciding robustness against RC for workloads generated by transaction programs modeled as transaction templates. An important insight of that work is that, by more accurately modeling transaction programs, we are able to recognize larger sets of workloads as robust. In this work, we increase the modeling power of transaction templates by extending them with functional constraints, which are useful for capturing data dependencies like foreign keys. We show that the incorporation of functional constraints can identify more workloads as robust that otherwise would not be. Even though we establish that the robustness problem becomes undecidable in its most general form, we show that various restrictions on functional constraints lead to decidable and even tractable fragments that can be used to model and test for robustness against RC for realistic scenarios.
|Title of host publication||25th International Conference on Database Theory, ICDT 2022|
|Editors||Dan Olteanu, Nils Vortmeier|
|Publisher||Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing|
|Publication status||Published - 1 Mar 2022|
|Event||25th International Conference on Database Theory - Edinburgh, United Kingdom|
Duration: 29 Mar 2022 → 1 Apr 2022
|Name||Leibniz International Proceedings in Informatics, LIPIcs|
|Conference||25th International Conference on Database Theory|
|Abbreviated title||ICDT 2022|
|Period||29/03/22 → 1/04/22|
- concurrency control
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1/01/21 → 31/12/24