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In each of these approaches, the collision rate is determined by the ratio of m/n of the address space This means that only the pointer-list has to be given extra space and the main le can be kept dense A high space ratio m/n and the many entries which t into an index block Bfr will keep the occurrence of collisions minimal If some part of the goal record is required more frequently than the whole record, a mixed approach is feasible A xed-length record segment is constructed containing the most useful portions and placed so that it can be directly accessed The variable segment which remains is retrieved when needed via a pointer from the xed segment 4-6-2 Multiattribute Direct Access If the fetch requests are not restricted to one key attribute, the simple direct-access method fails For each di erent attribute and its value in a goal record the particular transformation will produce its speci c record address If there is to be only one stored copy of each goal record, indirection via a pointer-list is again needed The pointer-list provides only pointers to the actual goal record; the goal is found at the cost of an additional access Multiple pointer-lists will be used, similar to the multiplicity of indexes described for a multi-indexed le Records can be found according to any attribute for which a transform and a pointer-list is provided The pointer-lists are similar to the pointer-lists used above when provision for variable record length is made and the rate of collisions should again be low

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The records may still be located directly for the primary attribute and indirection employed for secondary keys However, for symmetry, the system sketched in Fig 4-31 uses indirect referencing throughout Not all attributes need to have address spaces of equal length The goal le itself may have a pile or a sequential organization An insertion into a le using multiple pointer-lists will require changes to all pointer-lists in addition to the operation on the main le All entries for the same transformed value will have the same pointer-list address This increases the collision rate for attributes which are not unique When we dealt with simple direct les, whose records are stored by key values, we expected uniqueness Many other attributes in records will not have unique values The example of Fig 4-31 is hence atypical; you may wish to consider the pointer-list for sex = "male" Identical data attributes must lead to identical addresses in the the pointer-list space This problem can also be dealt with through the collisionhandling mechanism, but obviously attributes with poor partitioning power can overwhelm the mechanics of many solutions The result of the key-to-address transformation can no longer be uniform The use of over ow buckets rather than open addressing is now called for A popular database management system, adabas, uses the types of access presented here The pointer-lists may be prede ned and maintained, or created dynamically in response to transaction requests It also is possible to share a single pointer address space for several attributes by making this space appropriately larger and including the name, or another suitable identi er of the attribute itself, in the input to the address transformation function Figure 4-32 sketches this design using the symbols (I1 , I2 , I3 ) for attribute-type identi cation This method becomes especially interesting if the records have an irregular number of attributes, so that the individual pointer address spaces are of di erent sizes and possibly have dynamically varying length requirements The fact that no individual pointer-list areas have to be dimensioned and allocated reduces the amount of unused space while keeping the probability of exceeding the pointer space low A larger shared space can also reduce collisions due to clustering To verify that in case of a collision the correct pointer is picked, it is necessary that the pointer entry can be matched to its attribute name If this check is not made, problems will arise if two key values of di erent attributes are both identical and produce the same result from the address transformation An example would be a case where the health record number for John and the employee number assigned to Peter are identical and both happen to transform to the same address by di erent algorithms The author has come across a system where this case was not considered, but no access failure had ever been reported Transformations could be designed to avoid this possibility, but this restricts the choices available and limits the adaptability of this approach.

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