Principles of Transaction Processing for the Systems Professional (The Morgan Kaufmann Series in Data Management Systems)

Principles of Transaction Processing for the Systems Professional (The Morgan Kaufmann Series in Data Management Systems)

Philip A. Bernstein, Eric Newcomer

Language: English

Pages: 364

ISBN: 1558604154

Format: PDF / Kindle (mobi) / ePub

Principles of Transaction Processing is a clear, concise guide for anyone
involved in developing applications, evaluating products, designing systems,
or engineering products. This book provides an understanding of the internals of
transaction processing systems, describing how they work and how best to use them.
It includes the architecture of transaction processing monitors, transactional
communications paradigms, and mechanisms for recovering from transaction and
system failures.

Use of transaction processing systems in business, industry, and
government is increasing rapidly; the emergence of electronic commerce on
the Internet is creating new demands. As a result, many developers are
encountering transaction processing applications for the first time and need
a practical explanation of techniques. Software engineers who build and
market operating systems, communications systems, programming tools, and
other products used in transaction processing applications will also benefit
from this thorough presentation of principles. Rich with examples, it
describes commercial transaction processing systems, transactional aspects
of database servers, messaging systems, Internet servers, and
object-oriented systems, as well as each of their subsystems.

* Easy-to-read descriptions of fundamentals.
* Real world examples illustrating key points.
* Focuses on practical issues faced by developers.
* Explains most major products and standards, including IBM's CICS, IMS, and MQSeries; X/Open's XA, STDL, and TX; BEA Systems' TUXEDO; Digital's ACMS; Transarc's Encina; AT&T/NCR's TOP END; Tandem's Pathway/TS; OMG's OTS; and Microsoft's Microsoft Transaction Server.

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Computer Networks: An Open Source Approach

Integration of the Semantic Web and Model-Driven Software

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To make all this happen to begin with. These are system management activities, to create (client and server) processes and communications sessions (to support RPC bindings). Sometimes these are dynamic functions that are part of the RPC system, such as in a CORBA object request broker. In TP systems, they are usually static functions that are part of initializing the application, done in the TP monitor. The system manager also has to track the behavior of the system. This requires software to.

The application programmer to simplify programming and avoid errors. To call a remote server, a client must establish a communications binding to the server, usually by a lookup at a directory service. Security checks are also needed to authenticate the server and ensure the client is authorized to call the server. RPCs execute several hundred times more instructions than a local procedure call. They must be carefully optimized to give satisfactory performance. In the peer-to-peer model, programs.

Can process the reply right away. D. Transaction 3 committed. The request was submitted and executed, and the client already processed the reply. The client should continue with a new request. To determine what recovery action to take, the client needs to figure out which of the four states it is in. If each client has a private reply queue, it can make some headway in this analysis. Since the client processes one request at a time, the reply queue either is empty or has one reply in it. So, if.

An exception that says the queue is empty. For example, this is useful if a server is polling several queues and does not want to be blocked on an empty queue since another one may be nonempty. If called with the blocking option, the dequeue operation remains blocked until an element can be returned. The latter is useful, for example, to dequeue a reply. 112 Chapter 4—Queued Transaction Processing Priority Ordering The elements of a queue may be ordered in a variety of ways, such as.

Transaction gets its input messages from the log and compares its output messages to the result of the previous execution. This approach of replaying messages yields a similar level of fault tolerance as running multiple transactions, in that it avoids the user having to reenter input when a transaction aborts. However, since it runs the request as a single transaction, it doesn't avoid the problems of resource contention and availability. Thus, it's only suitable when the latter are not.

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