The Escrow transactional method
ACM Transactions on Database Systems (TODS)
Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
ACTA: a framework for specifying and reasoning about transaction structure and behavior
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
ASSET: a system for supporting extended transactions
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
A Formal Approach to Recovery by Compensating Transactions
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
A Practical and Modular Implementation of Extended Transaction Models
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Consistency rationing in the cloud: pay only when it matters
Proceedings of the VLDB Endowment
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In a traditional database system, the transaction management protocols and mechanisms are constrained by the fundamental properties of atomicity, consistency, isolation, and durability (ACID). A transaction management system with strict ACID properties typically employs read and write locks, held for the duration of the transaction, to protect its uncommitted data from being seen and modified by some other transaction. While this approach is effective for applications involving short execution times and relatively small number of concurrent operations, it is too restrictive for applications that involve reactive, long-lived, and complex transactions. The common denominator of such applications is the need for transactions to read and possibly modify uncommitted data values [1] and for the database system to still retain the ability to abort a transaction and the ability to recover from failures. This paper proposes a Business Transaction framework that allows long lasting, discontinuous, and resumable transactions to perform shared updates to common data by holding semantic locks on the modified rows. Under this framework, basic SQL data types are made compensation-aware by associating domain-specific shared update semantics with them. These semantics ensure that each data modification operation is compatible with other uncommitted activity on the same data and that the operation can be undone, if needed, without resorting to cascading aborts. This paper describes the key concepts and presents our approach for supporting shared updates in Oracle RDBMS.