Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Transaction Management

  • Gottfried VossenEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_835


Transaction processing; Transaction scheduling


Transaction management [1, 2] refers to the tasks of processing multiple transactions issued by various clients of a database server in such a way that the ACID contract can be fulfilled, that is, the properties of atomicity, consistency preservation, isolation, and durabilityof each individual transaction can be guaranteed. Transaction management is generally understood as requiring serializability-based concurrency control as well as recovery from failures. Concurrency control is the task of scheduling transactions such that their serializability can be guaranteed, while recovery has to restore a consistent database state after a system or media failure. Assuming that the database server is in charge of the “C,” the former guarantees the “I” in ACID, the latter the “A” and “D” properties. Transaction management has to be highly efficient, as modern transaction servers need to accommodate thousands of transactions...

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Recommended Readings

  1. 1.
    Bernstein PA, Newcomer E. Principles of transaction processing for the systems professional. San Francisco: Morgan Kaufmann; 1997.zbMATHGoogle Scholar
  2. 2.
    Gray J, Reuter A. Transaction processing: concepts and techniques. San Francisco: Morgan Kaufmann; 1993.zbMATHGoogle Scholar
  3. 3.
    Gray J, Lorie RA, Putzolu GR, Traiger IL. Granularity of locks in a large shared data base. In: Proceedings of the 1st International Conference on Very Data Bases; 1975. p. 428–51.Google Scholar
  4. 4.
    Bernstein PA, Hadzilacos V, Goodman N. Concurrency control and recovery in database systems. Reading: Addison-Wesley; 1987.Google Scholar
  5. 5.
    Cellary W, Gelenbe E, Morzy T. Concurrency control in distributed database systems. Amsterdam: North-Holland; 1988.zbMATHGoogle Scholar
  6. 6.
    Lynch N, Merritt M, Weihl W, Fekete A. Atomic transactions. San Francisco: Morgan Kaufmann; 1994.zbMATHGoogle Scholar
  7. 7.
    Weikum G, Vossen G. Transactional information systems – theory, algorithms, and the practice of concurrency control and recovery. San Francisco: Morgan Kaufmann; 2002.Google Scholar
  8. 8.
    Agrawal D, Das S, El Abbadi A. Data management in the cloud – challenges and opportunities. London: Morgan & Claypool Publishers; 2013.Google Scholar
  9. 9.
    Gray J, editor. The benchmark handbook for database and transaction processing systems. 2nd ed. San Francisco: Morgan Kaufmann; 1993.zbMATHGoogle Scholar
  10. 10.
    Shasha D, Bonnet P. Database tuning: principles experiments and troubleshooting techniques. San Francisco: Morgan Kaufmann; 2002.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Information SystemsWestfälische Wilhelms-UniversitätMünsterGermany

Section editors and affiliations

  • Gottfried Vossen
    • 1
  1. 1.Department of Information SystemsWestf. Wilhelms-UniversitätMünsterGermany