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There are query situations and data collections where e ciency is important, and situations where exibility is paramount The alternatives of compiled and interpretive access are appropriate for some and not for other cases It is hence desirable to be able to provide a mix of translation schemes In a system which provides a range of binding choices it may become feasible to add relations to the model, add attributes to existing relations, and de ne and implement new connections Then it may become possible to change the database model without an extensive reorganization In current systems a reorganization tends to be traumatic It takes many hours, and a failure of the process will also require many hours of restoration to the earlier state
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Very Large Databases To allow growth of the database, the 1978 DSDL storage schema can specify an initial loading DENSITY of fewer records than t into a block Equivalent facilities were actually provided in earlier implementations; for instance, the UNIVAC DBMS-1100 provides an INTERVAL statement for this function When extra space is exhausted, a database reorganization may be required Reorganization of a database is apt to be a major e ort Data for TOTAL indicates, for instance, that on a large IBM 360 computer, it takes about 1 minute to reload 1000 records Reorganization of the database at Equitable Life Assurance takes 72 hours of computer time [Gosden in Jardine74 ] This leads to the following de nition of a very large database A very large database is a database whose reorganization by reloading takes a longer time than the users can a ord to have the database unavailable
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Problems of very large databases are now being addressed prior to standardization e orts [Steel75 ] To avoid frequent reorganizations, the records of the database may be extended with spare elds, so that attributes can be added later A sophisticated method to cope with database reorganization will be presented in Sec 11-4-3
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9-7-5 Tools for the Design and Testing of a Database The complexity of databases is such that it is di cult for a single individual to maintain control The structural model provides conceptual assistance Database dictionary systems provide the capability to create catalogs of the data in the database, and many can be used for automatic schema generation They will typically support only one type of DBMS, however Testing has its own risks The danger of a misprogrammed transaction destroying the corporate database is real Keeping a test copy of the database is expensive in storage costs and maintenance It should be possible to run transactions during checkout on the real database for read accesses and on test blocks when writing or reading data created during the test
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9-7-6 Schemas with High Level De nitions of Connections Recent developments in query languages do recognize relationships among entities They need to be supported by data-de nition facilities of equivalent power An important issue in schema management is integrity and constraint speci cations In most systems today such speci cations are closely linked to implementation techniques It is desirable that logical constraints be speci ed rst, and the implementation choice be left to something akin to a storage schema Rigorous domain de nitions can do much to increase the integrity of databases Just stating the computer representation (ie, integer, floating point, char, ) does not indicate the constraints appropriate to connections and joins in a database Character type variables are appropriate for connections or joins only if de ned by a common referenced entity relation or lexicon; otherwise many matches will be missed Real values are rarely appropriate for connections or equijoins Joins with integer-type attributes can easily attempt to match domains which are inappropriate, say, age and number-of-children
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9-7-7 Modularity The requirements listed above could imply that a future DBMS will be even more massive than the current ones To avoid this trap we look forward to having database systems composed out of manageable modules Candidate modules are:
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File Systems Current le systems are often awkward for database system use because of lack of symmetry and formal interfaces Most DBMSs today build their own le support out of primitive facilities Our understanding of le alternatives is such that this should not be necessary Schema Management Translation and manipulation of the tables for a data de nition language is a general function which can be handled separately
The translation of queries from a user-friendly language is a major and specialized task Use of well-de ned schema tables and a general data manipulation language will provide interfaces to isolate this function into a module
Query Interface Backup and Recovery Protection of the content of a database, presented in Secs 11-3 and 11-4, is an important task in many but not all database applications The level of protection required may be speci ed in the schema, and actions which may require protection can be triggered when the database is manipulated In a transaction oriented database system the tasks are well-de ned (see Sec 11-3-1) but exceed often the services provided by the operating system The module can provide a consistent interface while size of this module will depend on the capability of the operating system
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