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When the index is used, the entries have to be searched serially The number of matching high-order characters is counted If the number of characters that are provided in the index is equal to the number matched, the proper index entry has been found A proper match occurs also when the search-argument character in the current position is smaller than the matching index-entry key character, or if the index key entry is abbreviated so that no further key character is available

you could combine the Enrollment and Offering tables As you will see later in this chapter, the operation of combining tables on matching values is known as a join Understanding the connections between tables (or ways that tables can be combined) is crucial for extracting useful data

Here, BinFunc is the type of a binary function object Notice that both classes inherit unary_function This is why the resulting object of bind1st( ) and bind2nd( ) can be used anywhere that a unary function can be

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The number of index entries within a train, y, can be substantial, and the basic procedure to reconstruct the keys for matching is very time-consuming In order to reduce the search time, a jump search, as described in Sec 4-2-2 is implemented, leading to cix = y (Eq 4-4) The index entries within one train are grouped initially into y sections After insertions and deletions the sizes of the sections may di er from this optimum The key for the last index entry in each section, the section key c j of Fig 4-17, s is abbreviated less, to permit reconstruction for jumping from the preceding section key c j 1 The rst search pass uses this section key and skips from one to the next s section using the section length indicator j to nd the proper section When the section has been found, a search pass for the appropriate entry is restricted within that section This additional pseudo-level does not require repeated entries of the key or pointers, only a reduced key abbreviation for the section keys

Index Search Pointers Pointers are also abbreviated The index pointers on level 1 to the data trains include only the displacement within a portion in terms of trains For instance, if there are 300 trains in one portion, = 300/28 = 2 8-bit bytes su ce for the pointer entry To calculate the byte address of the train, the contents of the pointer eld is multiplied by the train size and the beginning address of the portion is added

Negators return predicates that yield the opposite of whatever predicate they modify The negators are not1( ) and not2( ) They are defined like this: template <class UnPred> unary_negate<UnPred> not1(const UnPred &pred); template <class BinPred> binary_negate<BinPred> not2(const BinPred &pred); The classes are shown here:

You should be aware that other terminology is used besides table, row, and column Table 35 shows three roughly equivalent terminologies The divergence in terminology is due to the different groups that use databases The table-oriented terminology appeals to end users; the set-oriented terminology appeals to academic researchers; and the record-oriented terminology appeals to information systems professionals In practice, these terms may be mixed For example, in the same sentence you might hear both "tables" and "fields" You should expect to see a mix of terminology in your career

4-3-4 Sequential Access In vsam the index has to be read to process the data trains serially To obtain high-performance serial access, the use of higher levels of the index is avoided The linkage pointer ( ) is used to locate successive lowest-level index trains, and the data trains are fetched using the pointers of the index entries After many dynamic changes of a vsam le the trains will no longer be in a physical sequence Within each train, however, the record sequence has been maintained For large trains fewer seeks is required, but train size will be limited because of bu er capacity and the limits imposed by the relative addressing scheme A le with portions covering multiple cylinders will have its trains distributed over them, so that seeks during serial access still can add substantially to the time required to read the le

Locality Control There are some optional features to increase search performance through improved locality One of these features allows replication of the index on a track of a rotating device so that the average rotational latency for reading of the index can be reduced Other options provide for the close location of index le components and the data le itself to minimize seek times Index and data can also be placed on separate devices to provide overlap of access This is especially useful when processing the le serially

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