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Any time that new data are added or old data are updated we can create a new version of the database If we save the prior version of a database we obtain a good basis for restoration in case of errors Periodic copies of database versions are called backup copies or dumps They are discussed in Sec 11-4-3 If prior data are not overwrittten, previous versions may be kept available without copying the old data to some other device or area, Creation of an entire new version of a database is feasible if the new database consists requires rewriting much of the old data We see this being done where small databases are created by periodic abstraction of some other database, for instance the list of invalid credit cards of some nancial institution Typically, however, a new version consists of both old and new units of data Candidate units are areas, les, blocks, and records We will consider blocks to be the unit of data A version of a database is de ned as the collection of all the most up-to-date versions of each block relative to some time point The current version of the database comprises all the most recent versions of the data blocks it covers New blocks can be simply appended to the le storage The address of the last block written is the high-water mark A previous version can be recovered by resetting the high-water mark to an earlier state The notion of having versions is simple but it is obvious that the storage demands due to keeping data for all past versions can be high Older data is kept on storage devices with the same cost and performance as current data Maintenance of e cient access to the set of current blocks requires careful support The use of versions is becoming feasible and necessary with the appearance of large-capacity storage devices which can write the data only once Optical disks are the prime candidate for such techniques The complexity of dealing with versions relates to our demands for access performance If a pile- le organization (Sec 3-1) satis es our access needs, versioning is simple A reverse search from the high-water mark can recover any desired block of the database Such modest requirements are rare; most les require some access organization and each data rewrite will in fact require the update of some index or access information Issues of access management when using versions have not yet been thoroughly studied It appears that three schemes for access management to versions are feasible: Access and data are mixed The rewritten blocks contain the relevant access information internally This information should include a new, partial, root index block with paths to recent data and the prior root Access indirection The volume of block references is reduced by using indirection The rewritten block includes only replacement information for indirect referencing, as described in Sec 8-1-2 Backup maintenance for access information Only data blocks are versioned; any index or other access information is maintained in core bu ers and rewritable storage When an error occurs, index information is recreated from backup data, including the versioned data Support for the last scheme is provided through the same logging mechanisms used for recovery in nonversioned databases, which are introduced in Sec 11-3-4, but.

In this for loop, you test whether the value counter is equal to 5. If that value is found (and in this case, it always will be), you break out of the loop.

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In order to permit implementation and use of a system by a number of people some documentation will have to exist to describe both the static aspects, the database structure, and the procedural aspects, the computations, which carry out the data transformations A picture of the data in terms of les, records, elds, and the relation between items of data contained in these elements is appropriate for the static aspect Concepts to guide the development of such descriptions are presented in Chap 7 Such a data-structure de nition may take the form of a document to be used by the people who program the le operations on this database It is even better to materialize the structure de nitions in the form of a collection of computer-readable codes, a schema which guides le processes automatically Much of the content of this book will be concerned with the design and use of such schemas Examples of schemas are presented in Chap 8 The procedural description may be given as a formula, a description of program sections to be executed, or a owchart In many commercial programming groups much e ort is put into systems analysis which prepares process descriptions in minute detail for subsequent implementation by coders It is easy for errors to develop because of communication problems between systems analysts and coders The analyst may assume that the coders are aware of conditions which are beyond their knowledge Coders, on the other hand, may program for cases which cannot occur The determination of critical sections is often a source of di culty No formal methods are yet adequate to fully verify correctness for interacting processes We therefore prefer detailed static data descriptions for the development of databases

Rather than breaking out of a loop, you may at times want to say, Don t execute any more statements in this loop, but start the loop again from the top of the next iteration. To accomplish this, use the unconditional branching statement continue.

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We can delete tuples using the DELETE command We can delete all Students tuples with name equal to Smith using the command: DELETE FROM Students S WHERE Sname = Smith We can modify the column values in an existing row using the UPDATE command For example, we can increment the age and decrement the gpa of the student with sid 53688: UPDATE Students S SET Sage = Sage + 1, Sgpa = Sgpa - 1 WHERE Ssid = 53688 These examples illustrate some important points The WHERE clause is applied rst and determines which rows are to be modi ed The SET clause then determines how these rows are to be modi ed If the column that is being modi ed is also used to determine the new value, the value used in the expression on the right side of equals (=) is the old value, that is, before the modi cation To illustrate these points further, consider the following variation of the previous query: UPDATE Students S SET Sgpa = Sgpa - 01 WHERE Sgpa >= 33 If this query is applied on the instance S1 of Students shown in Figure 31, we obtain the instance shown in Figure 33 sid 50000 53666 53688 53650 53831 53832 name Dave Jones Smith Smith Madayan Guldu login dave@cs jones@cs smith@ee smith@math madayan@music guldu@music age 19 18 18 19 11 12 gpa 32 33 32 37 18 20

break and continue generate multiple exit points and make for hardto-understand, and thus hard-to-maintain, code. Use them with care.

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