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| Content Provider | ACM Digital Library |
|---|---|
| Author | Shasha, Dennis Simon, Eric Valduriez, Patrick |
| Abstract | Chopping transactions into pieces is good for performance but may lead to non-serializable executions. Many researchers have reacted to this fact by either inventing new concurrency control mechanisms, weakening serializability, or both. We adopt a different approach.We assume a user who• has only the degree 2 and degree 3 consistency options offered by the vast majority of conventional database systems; and •knows the set of transactions that may run during a certain interval (users are likely to have such knowledge for online or real-time transactional applications).Given this information, our algorithm finds the finest partitioning of a set of transactions TranSet with the following property; if the partitioned transactions execute serializably, then TranSet executes serializably. This permits users to obtain more concurrency while preserving correctness. Besides obtaining more inter-transaction concurrency, chopping transactions in this way can enhance intra-transaction parallelism.The algorithm is inexpensive, running in O(n x (e + m)) time using a naive implementation where n is the number of edges in the conflict graph among the transactions, and m is the maximum number of accesses of any transaction. This makes it feasible to add as a tuning knob to practical systems. |
| Starting Page | 298 |
| Ending Page | 307 |
| Page Count | 10 |
| File Format | |
| ISSN | 01635808 |
| DOI | 10.1145/141484.130328 |
| Journal | ACM SIGMOD Record (SGMD) |
| Volume Number | 21 |
| Issue Number | 2 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1999-06-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Software |
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