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of indexes becomes nic(5) + nic(4) = 16; for d = 3, a = 9, a1 =a2 =a3 = 3 the number of indexes is 3 nic(3) = 9, the original number, although each index will carry more keys The increased cost of updates will still discourage extensive use of combinatorial approaches for partial-match queries
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A practical example of a comprehensive indexed-sequential le system is provided by ibm in their Virtual Storage Access Method (vsam) The term virtual refers only to the fact that the programs used to implement vsam depend on the virtual addressing provided by ibm s 370 type of computers The approach is a hybrid of techniques presented in Secs 3-3, 3-4, and 4-2 We can describe the le design, using the terminology developed in the previous section, as follows: vsam is an indexed-sequential le organization The single index and the data
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le uses a B-tree algorithm The index has a xed number of levels, thus limiting the le size, albeit to a very large number of records Anchor points are the keys with the highest value in a train of blocks There is high- and low-order abbreviation of keys as well as abbreviation of pointers The variable-length elements of the index are described by count elds which specify the original key length and the amount of low-order abbreviation The lowest-level index is linked to maintain seriality
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In addition, a number of practical considerations have been given much attention in the design, and we will discuss some of these in detail It also is possible to use the structure of vsam les while bypassing the processing procedures in order to provide record retrieval by relative byte addressing as presented in Sec 2-3-3 The conversion of record keys to relative byte addresses is a user responsibility Of interest here is the use of vsam which corresponds to the normal use of full vsam facilities to obtain indexed-sequential access to variable-length records When evaluating the performance of a vsam le, the fact that the unit moved from disk to core consists of an entire train rather than just one block has to be considered First the cost of moving a train of sequential blocks has to be estimated; then this result can be used with care in the relations based on variable-length unspanned blocking; Eqs 2-20 and 2-21 provide the basic parameters 4-3-1 Space Allocation
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When a le is established, a large portion out of the available disk space is allocated to the le based on estimated future le-space requirements The intent of such a bulk allocation is to keep the records closely together, so that the locality within a portion of a le is high When all the trains in a portion have been used, but space for a new train is required a new portion will be allocated and an entry for this portion inserted at the top level of the vsam B-tree; this level is called the directory The rst (low-order) half of the trains will be copied to the newly allocated portion, and the space from the trains moved will be put in a list (see Sec 4-3-5) of free trains for reuse in the original portion
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A new portion is also obtained by a bulk allocation, but it may be smaller It will not necessarily be close to the old portion Bene ts of locality are important for sequential processing of the data Bene ts of locality will of course be lost when other users intersperse le requests on the same device A disadvantage of bulk allocation is that substantial storage space may be unused if the le size cannot be accurately estimated
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