Download Concurrency Control and Recovery in Database Systems by Philip Bernstein, Vassos Hadzilacos, Nathan Goodman PDF

By Philip Bernstein, Vassos Hadzilacos, Nathan Goodman

This publication is ready innovations for concurrency keep an eye on and restoration. It covers thoughts for centralized and disbursed desktops, and for unmarried replica, multiversion, and replicated databases. those concepts have been constructed by way of researchers and process designers mostly attracted to transaction processing platforms and database structures. Such structures needs to approach a comparatively excessive quantity of brief transactions for facts processing. instance purposes comprise digital cash move, airline reservation, and order processing. The concepts are important for different kinds of functions too, reminiscent of digital switching and computer-aided layout - certainly any program that calls for atomicity and reliability of simultaneously executing courses that entry shared facts.

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Additional resources for Concurrency Control and Recovery in Database Systems

Example text

This gives it more leeway to reorder operations it receives later on.

3 THE SERIALIZABILITY THEOREM We can determine whether a history is serializable by analyzing a graph derived from the history called a serialization graph. ‘) TN). The serialization gritph (SC) for H, denoted SG(H), is a directed graph whose nodes are the transactions in T that are committed in H and whose edges are all T, -+ T, (ifj) such that one of 7,‘s operations precedes and conflicts with one of T,‘s operations in H. Notice that a single edge in SG(H3) can be present because of more than one pair of conflicting operations.

2, this would make view serializability an inappropriate correctness criterion in an environment where transactions or the system are subject to failures. The two “versions” of serializability are not the same. In fact, as the following theorem shows, view serializability is a (strictly) more inclusive concept. 4: If H is conflict serializable then it is view serializable. The converse is not, generally, true. Proof: Suppose H is conflict serializable. Consider an arbitrary prefix H’ of H. By assumption, C(H’} is conflict equivalent to some serial history, say H,.

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