Component Database Systems (The Morgan Kaufmann Series in by Klaus R. Dittrich, Andreas Geppert

By Klaus R. Dittrich, Andreas Geppert

Part Database structures is a set of invited chapters by means of the researchers making the main influential contributions within the database industry's development towards componentizationThis booklet represents the sometimes-divergent, sometimes-convergent methods taken via best database owners as they search to set up commercially doable componentization ideas. jointly, those contributions shape the 1st ebook dedicated completely to the technical and architectural layout of component-based database structures. as well as detailing the present nation in their study, the authors additionally take in the various concerns affecting the most likely destiny instructions of part databases.If you've got a stake within the evolution of any of brand new major database platforms, this e-book will make interesting analyzing. it's going to additionally aid organize you for the expertise that's more likely to develop into largely on hand over the subsequent a number of years. * Is produced from contributions from the field's such a lot hugely revered researchers, together with key figures at IBM, Oracle, Informix, Microsoft, and POET.* Represents the total spectrum of methods taken by means of prime software program businesses engaged on DBMS componentization strategies.* Covers component-focused architectures, equipment for hooking elements into an total approach, and help for part development.* Examines the part applied sciences which are most beneficial to Web-based and multimedia databases.* provides a radical category and assessment of part database platforms.

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Spatial data or social security numbers). The ultimate task is to teach the DBMS how to store, manipulate, and retrieve instances of these data types. In the first step, the designer has to model the structure of the desired new data types as well as their type-specific behavior. From a user’s point of view, new data types are either complex or atomic. Complex data types possess structure and their values can thus be represented as specialized records or tuples or collections using the data definition language.

This is in contrast to older work, in which the implementation of new data models was also investigated. , for database design) be adapted accordingly. , ACID-transactions or closed nested transactions), while significantly less work has been done on extensible transaction management. , Kornacker et al. 1997). The probable reasons for this trend are that many of the proposed nonstandard transaction models have never been implemented and questions remain concerning their semantics and range of applicability.

Two extreme alternatives exist to tackle this problem. In the first, information about the data sources’ interfaces are hard-wired into the (integrating) DBMS. The realm of integrable external data stores is thus restricted, and the DBMS needs to be extended for each specific type of data store. In the other alternative, a common data model, query language, or interface to external data stores is set as a prerequisite. For instance, we might require that all data stores understand SQL and be able to return the results of SQL queries in the form of relations.

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