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An unqualified name is the column name without the table name The full name of a column includes the table name Thus, the full names of the join columns in Figure 35 are FacultyFacSSN and OfferingFacSSN

data regarding this object, we will want to attach to the record additional attribute pairs that contain further data, as shown in Example 3-2a

The String Member Functions (continued)

name=Hoover,type=Tower,locale=Serra Street (Stanford),height=95; When information is to be retrieved we select records by specifying some attributes in a search argument and retrieve other attributes as the goal data The attributes of a record to be matched to the search argument of the fetch request are the key attributes The terms key and goal de ne two parts of the record for a query Di erent requests may specify various combinations of attributes, so that we do not wish to preassign attributes to the role of key or goal data The key identi es the record wanted in the le, and the goal is de ned to be the remainder of the record

StdSSN 123-45-6789 124-56-7890 234-56-7890

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Extent of Goal Data If there are no attribute pairs left in our record beyond those required for the search, the only information retrievable is the fact that this object exists in our les Finding a match is frequently an adequate goal With the assumptions used in the example worked out in Example 3-3, the height of the tower still is available as a goal-data element

Complex attributes An attribute value may in itself be divided into a number of attribute name-value pairs to permit a hierarchical structure within the record, as shown in Example 3-2b Such a complex attribute is di cult to manage for a le system The handling of the contents of a complex attribute is typically the users responsibility

36:

,addr=(place=Serra Street,town=Stanford U, county=Santa Clara,state=California), The number of attributes required for a search is a function of the selectivity of the key attributes Selectivity is the measure of how many records will be retrieved for a given value of an attribute When we select a subset of the le according to the value of an attribute, we have partitioned the le into a potential goal set, and a set to be rejected Partitioning can take place repeatedly using other attributes, until only the desired goal set is left The selectivity can be given as an absolute count or as a ratio After the rst partitioning, we can imagine that we have a le with a smaller number of records It is important to isolate this subset of records in such a way that it will not be necessary to search all the original data for a match according to the second attribute speci ed The second search should be measured in terms of a selectivity ratio, which is applied to the partition of records produced by the previous search Partition sizes are computable by computing the product of the le size, n, and the selectivity ratios If multiple ratios are used we typically assume that

StdSSN 123-45-6789 234-56-7890 124-56-7890

Sec 3-1

size_type find_first_not_of( const CharType *str, size_type indx, size_type len) const;

the selectivity of the rst search speci cation is independent of the second search speci cation Successive application of all other search speci cations narrows down the possibilities until the desired record, or set of records, is obtained Examples of selectivities are given in Table 3-4

Student S t d S S N 123-45-6789 124-56-7890 234-56-7890

Example 3-2

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