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Indexed-sequential les only provide one index, but searching for information may have to be done on other attributes than a primary key attribute In a generalized indexed le we permit multiple indexes There may be indexes on any attribute, and perhaps on all attributes A number of changes to the le organization follow from that extension All indexes are treated equally: 1 All indexes are record-anchored 2 The concept of a primary attribute is not retained 3 No sequentiality according to a primary index is maintained No over ow chains can be maintained: 1 Any insertions are placed into the main data le 2 The main le format should make insertion convenient 3 All indexes must be updated to re ect insertions We expand on the trade-o s implied above in more detail throughout this section By givng up the requirement for sequentiality to provide e cient serial access, much exibility is gained In the generalized indexed le the records are accessed only through their indexes There is now no restriction on the placement of a data record, as long as a TID exists in some index that allows the record to be fetched when the goal data from the record is wanted Each index is associated with some attribute The gain in exibility obtained makes this le organization preferable to the indexed-sequential le organization in many applications The actual physical placement and format of records in generalized indexed les can be determined by secondary considerations, as ease of management or reliability Having indexes on more than one attribute greatly increases the availability of the data in information retrieval and advanced processing systems Variable-length records are common in these applications The exibility of generalized indexed les has created a great variety of actual designs The variety of designs has unfortunately also created a diversity of terminology, often quite inconsistent, so that anyone intending to evaluate a speci c approach to indexed les will have to translate terms used in describing such systems into standard concepts We will evaluate again a speci c approach which is becoming increasingly common, based on the use of B-trees for the indexes Figure 3-13 shows schematically three indexes into a Personnel le, for the attributes Names, Professions, and Chronic diseases Each of the variable-length spanned records of the le can be located by giving a name or profession value The third record, in block 2 at position 35, has a eld with the attribute name Chronic diseases and can also be located via that index.

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string s1 = "One Two Three Four";

The local variable index is assigned the value of the last literal space in the string (which comes before the word Four):

Sec 3-4

index=s1.LastIndexOf(" ");

Since an indexed le with multiple indexes consists of several distinct component les we must be able to determine what indexes exist, how they are organized, and where they are located An extension of the notion of the le directory, introduced in Sect 3-0-1, can satisfy that role Programs which retrieve data or update the le must consult that directory to carry out their function In database management systems schemas take on that role, as indicated in Chap 8-2 For our evaluations we assume that such a directory is read into a memory bu er when the le is opened, and can be rapidly searched

RECORD FORMATS *

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The substring that begins one position later is assigned to the new string, s2:

3-4-1 Structure and Manipulation of Indexed Files There may be as many indexes as there are attribute columns in the le; even more if we build combined indexes for fast partial-match retrieval as described in Sec 42-5 An index for an attribute of an indexed le consists of a set of entries, one for every record in the le We cannot use block-anchors here to reduce the index size, as we did in the indexed-sequential le, since index and data are not cosequential

string s2 = s1.Substring(index+1);

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The entries are ordered as determined by the attribute values Each entry consists of the attribute value and a TID In indexed les successor records are reached using the next index entry rather than by sequentiality or via pointers from the predecessor record Each index may again require multiple levels, just as we have seen in an indexed-sequential le The data record format may be similar to any of the previous organizations Records containing attribute name-value pairs, as seen in the pile le, are the choice permitting greatest exibility; otherwise, structured records may be employed Since the TIDs in the index specify the block address and record position for every record, there is essentially no restriction on record size or on the placement of records within a speci c block Records can be inserted wherever the le system nds su cient free space

This extracts the characters from index+1 to the end of the line (the string Four ) and assigns the value Four to s2. The next step is to remove the word Four from s1; assign to s1 the substring of s1 that begins at 0 and ends at the index:

The major problem when using indexed les is that all the indexes to a record must be updated whenever a record has been added or deleted or is moved A single index has to be changed when a single data eld value of an indexed attribute is updated In indexed-sequential les dynamic updating of the index was avoided through the use of pointer chains to insertions With indexing for multiple attributes such over ow chaining is not feasible; each record would need many over ow pointers The pointers would have to link a new record to many predecessor records The alternative is to update the actual indexes as the le changes, but a dense index structure as used with indexed-sequential les would require for each insertion or deletion of an index entry the rewriting of the entire index

s1 = s1.Substring(0,index);

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