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Logging

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A Course in In-Memory Data Management

Abstract

To be used in productive enterprise applications, databases need to provide durability guarantees (as part of the ACID principle). To provide these guarantees, fault-tolerance and high availability have to be ensured. However, since hardware failures or power outages cannot be avoided or foreseen, measures have to be taken which allow the system to recover from failures.

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Notes

  1. 1.

    ACID stands for Atomicity, Consistency, Isolation, Durability. These properties guarantee reliability for database transactions and are considered as the foundation for reliable enterprise computing.

References

  1. A.J. Borr, Robustness to crash in a distributed database: A non shared-memory multi-processor approach, in VLDB ed. by U. Dayal, G. Schlageter, L.H. Seng (Morgan Kaufmann, San Francisco, 1984), pp. 445–453

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  2. F. Hübner, J.-H. Böse, J. Krüger, C. Tosun, A. Zeier, H. Plattner, A cost-aware strategy for merging differential stores in column-oriented in-memory DBMS, in BIRTE, pp. 38–52 (2011)

    Google Scholar 

  3. T. Härder, A. Reuter, Principles of transaction-oriented database recovery. ACM Comput. Surv. 15(4), 287–317 (1983)

    Article  Google Scholar 

  4. J. Wust, J.-H. Boese, F. Renkes, S. Blessing, J. Krueger, H. Plattner, Efficient logging for enterprise workloads on column-oriented in-memory databases, in CIKM 2012 (ACM, 2012)

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© 2014 Springer-Verlag Berlin Heidelberg

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Plattner, H. (2014). Logging. In: A Course in In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55270-0_29

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