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On the other hand, the probability of selecting one of the ve worst methods for this case, which would lead to c = n 1 = 3 collisions and omax = 1+2+3 extra accesses, is only pmax = m/mn = 0008 The remaining three cases of one collision, two collisions in two slots, and two collisions in the same slot can be analyzed similarly and are shown in Fig 3-19 Given the assumption that we have just an average randomization, we nd that we may expect an average of p = c pc oc = 030 additional accesses per record loaded We expect at the nal point that o = c pc c = 105 records collided and were not loaded within the main le; they will have been placed somewhere else The main le now contains n o = 4 105 = 295 records The collision probability for the next insertion is 295/5 = 059 The distribution will have a similar shape for other values of m and n The number of steps rapidly increases with n and m so that the distribution function becomes smooth Estimates for the number of collisions in the general case are derived in Chap 12-1, but the intent of this discussion is to show the relative unimportance of the speci c choice of randomization method, as long as it is chosen to be outside the obviously worst areas It might be mentioned here that a change of keys, that is, a new set of data to be randomized, will completely reorder the position of the mn functions in the gure, but the shape of the exhaustive distribution remains the same It is obvious from the above that many choices exist for transforming keys of records to record addresses We nd also that the average performance of reasonable transformations is such that perfectly good results are obtained with less than perfect methods On the other hand, cute methods, such as deterministic and sequence-maintaining schemes, carry a high risk of failure when conditions change.

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5% 2% 20% 45% 10% 18%

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3-5-15 Collision Management When we obtain the slot at the address computed above we may nd it occupied The probability of nding every slot in a bucket occupied is much lower We will rst consider slots by themselves, or buckets having only one slot When a key-to-address transformation produces identical addresses for distinct records, we have a collision There is no way that a randomizing procedure can avoid collisions completely, and deterministic, nonrandomizing KAT procedures (brie y discussed in Sec 3-5-13 above) are not practical for large or changing les We hence have to learn to deal with collisions Figure 3-20 shows a key-to-address transformation and a collision; a new entry, Shostakovich, collides with an earlier entry, John The more slots a le has relative to the number of records to be stored, the lower the probability of collisions will be While we will evaluate such probabilities in detail subsequently, we note that at typical B-tree density (n/m = 069), we incur a rate of collisions that is quite bearable; even with one slot per bucket, we expect collisions less than 35% of the times we access the le

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The resolution of collisions will occupy us in this section Three strategies are used to resolve collisions, sometimes in combination Two methods, linear search and rerandomization, which use the main le for storage of records which have collided, are referred to as open addressing techniques Figure 3-20 shows the third alternative, the use of a separate over ow area for such records The performance of all three methods is signi cantly improved if rst a search through the current block or bucket is made

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Sec 3-5

2% 1% 9% 41% 5% 28%

the cost of over ows from collisions can be greatly reduced by grouping of the slots into buckets A typical bucket is equal to one block, as shown in Fig 3-21 A search through all the slots in the bucket is used to locate space for the new record Only computational time is required to access the records within a bucket Only when the bucket itself is lled will a disk access be needed The cost of the disk access depends on which of the three alternative over ow methods, shown next, is in use If the bucket contains y slots there will be space for ovpb collisions within the block, where ovpb = 1 n m y 3-69

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