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Name of the index Name of the relation being indexed Attributes on which the index is de ned Type of index formed All this information constitutes, in effect, a miniature database Some database systems store this information by using special-purpose data structures and code It is generally preferable to store the data about the database in the database itself By using the database to store system data, we simplify the overall structure of the system and harness the full power of the database for fast access to system data The exact choice of how to represent system data by relations must be made by the system designers One possible representation, with primary keys underlined, is Relation-metadata (relation-name, number-of-attributes, storage-organization, location) Attribute-metadata (attribute-name, relation-name, domain-type, position, length) User-metadata (user-name, encrypted-password, group) Index-metadata (index-name, relation-name, index-type, index-attributes) View-metadata (view-name, de nition) In this representation, the attribute index-attributes of the relation Index-metadata is assumed to contain a list of one or more attributes, which can be represented by a character string such as branch-name, branch-city The Index-metadata relation is thus not in rst normal form; it can be normalized, but the above representation is likely to be more ef cient to access The data dictionary is often stored in a non-normalized form to achieve fast access The storage organization and location of the Relation-metadata itself must be recorded elsewhere (for example, in the database code itself), since we need this information to nd the contents of Relation-metadata

The le-organization techniques described in Section 117 the heap, sequential, hashing and clustering organizations can also be used for storing objects in an object-oriented database However, some extra features are needed to support objectoriented database features, such as set-valued elds and persistent pointers

The following sections will discuss the two common options in associating a user to a particular WebVPN tunnel group

Earnings commitment: For income producers, the company commits to the commission percentage For sales representatives, the company is making a commitment to the target earnings opportunity Funding: Funding for income producers commissions comes from revenue production For sales representatives, incentive compensation is cross-funded by the plan participants For sales representatives, the target pay is reallocated among the participants with better performers making more than the target incentive pay for the job and less effective performers making less than the target incentive pay

The mapping of objects to les is in many ways like the mapping of tuples to les in a relational system At the lowest level of data representation, both tuples and the data parts of objects are simply sequences of bytes We can therefore store object data in the le structures described in this chapter, with some modi cations which we note next Objects in object-oriented databases may lack the uniformity of tuples in relational databases For example, elds of records may be sets; in relational databases, in con-

As I mentioned earlier in the Tunnel Group WebVPN Attributes section, you can display a drop-down list of group names on the login screen for clientless and thin client access

The McGraw Hill Companies, 2001

The tunnel-group-list command displays a drop-down selector of tunnel group names on the login screen for clientless mode that allows the users to choose what group they should be associated with An alias for the group must be specified to see the drop-down menu (via the group-alias command) Here s a simple example:

trast, data are typically required to be (at least) in rst normal form Furthermore, objects may be extremely large Such objects have to be managed differently from records in a relational system We can implement set-valued elds that have a small number of elements using data structures such as linked lists Set-valued elds that have a larger number of elements can be implemented as relations in the database Set-valued elds of objects can also be eliminated at the storage level by normalization: A relation is created containing one tuple for each value of a set-valued eld of an object Each tuple also contains the object identi er of the object However, this relation is not made visible to the upper levels of the database system The storage system gives the upper levels of the database system the view of a set-valued eld, even though the set-valued eld has actually been normalized by creating a new relation Some applications include extremely large objects that are not easily decomposed into smaller components Such large objects may each be stored in a separate le We discuss this idea further in Section 1196

ciscoasa(config# tunnel-group sales-group webvpn-attributes ciscoasa(config-tunnel-webvpn)# group-alias sales enable ciscoasa(config-tunnel-webvpn)# exit ciscoasa(config# tunnel-group hr-group webvpn-attributes ciscoasa(config-tunnel-webvpn)# group-alias human_resources enable ciscoasa(config-tunnel-webvpn)# exit ciscoasa(config)# webvpn ciscoasa(config-webvpn)# tunnel-group-list enable

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