ean 128 excel 2013 Compilation in Software

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Compilation
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Sec 8-4
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Manipulation of the Schema
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The disadvantages of the compiled approach are the following: 1 All programs have to be regenerated when the schema changes, and new programs have to be written when new data and relationships have been speci ed 2 It is di cult to control whether all programs use the schema completely and are not dependent on speci c internal knowledge of the data organization This can leead to unpleasant suprises when changes to the schema are made 3 The apparent bene t of not requiring storage for the schema at processing time is largely illusory, since all the required information is stored somehow within the processing programs and might well appear multiple times in independent programs 4 Most compilers and higher level languages do not have the capability of de ning database structures as complex as we would like to be able to handle Conditional, composite, and iterative elds, for example, are rarely available on the language level 5 It can be di cult to adapt an existing compiler to generate code for some new hardware features which are being developed to aid databases
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Interpretation The bene ts of the interpretive methods are related, of course, to the disadvantages of compiling We can emphasize the following: 1 Data-oriented changes need to be introduced in the schema only, and do not need programming e ort 2 Better control exists over the contents of, and access to, the database 3 Programming can be carried out before the exact data speci cations are known 4 Synchronization of accesses to a shared le is easier to maintain in a multiprogrammed environment because more process information is available 5 Greater independence between processes and les exists This feature will protect the system from hardware changes 6 It may be possible to implement frequently used and well-established functions in hardware or in micro-coded procedures 6 The source-language statements may require less storage space than the machine instructions needed for le access Disadvantages of the interpretive method include the following: 1 The general interpreter has less exibility when special considerations have to be taken care of Recompiling of programs is not costly compared with the le reorganization e ort involved when the schema is changed 2 There is a high central processor cost to interpreting Although, in terms of the total time to complete a job, this cost may be minimal because of the lengthy le accesses, less CPU time will be available to other processes 3 Good general programs are di cult to construct and debug 4 The single generalized interpreting program may occupy more space than the separate processing programs which are brought in on demand only In a paging system, the demands on primary memory space for either approach may be substantially equal
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Schemas
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Compromises include compiled references to programs which can adapt to changes in the database schema The actual choice of approach will be determined largely by available facilities and expertise, although the wrong choice can be costly
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8-4-3 Internal Representation of a Schema The internal representation of a complex schema may itself require a linked structure to describe the structural dependencies of the data elements In SOCRATE this is achieved through a number of interlinked tables as shown in Fig 8-15, which is based on the schema in Example 8-6 The dictionary table includes both attribute names and the data values permitted in domain controlled by lists of choices The next-pointers provide rings within a nest and the detail-pointers provide access to nests when required
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Sec 8-5 8-5 SUBSCHEMAS
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Subschemas
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In a large database, the schema itself may be of massive proportions Since not all the information in the schema is required by every user or program, the data in the schema may be categorized and selected according to several dimensions These dimensions include: Functional level of the schema user Responsibility and ownership of data Processing function Host-language adaptations Location of stored database fragments All these dimensions can be used to divide schemas into subschemas which restrict the user or the database to a subset of data and function, depending on responsibility, need-to-know, and location The diversity and complexities of schemas are in part caused by the di erences in objectives seen by schema designers
8-5-1 Subschemas Based on View and Function As a part of preparations for a possible standardization e ort, a committee of the American National Standards Institute (ANSI), X3-SPARC, de ned in detail the schema function user function correspondences and some of the many interfaces among people and system modules to be considered The terminolgy used here and the interfaces shown in Fig 8-16 are based on this work The ANSI-SPARC descriptions are based on a three-part schema: the conceptual schema implements the database model, the internal schema implements the storage de nitions, and external schemas implement the concept of a database submodel
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