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and change the ring pointers The awkwardness of update may make the batch reorganization technique presented in Sec 3-5, Eq 3-89 appropriate here 4-6-4 Partial-Match Retrieval with Direct Access In basic direct les, access capability is restricted to one attribute If intermediate pointer-lists are used, as described in Sec 4-6-2, then access becomes possible by any of a variety of attributes These pointer-lists can become the source for partialmatch query processing The buckets that are created in the pointer-lists will contain TIDs for speci c attribute-name and value combinations If collision chains are maintained all identical entries will be on one chain; some irrelevant ones may be chained in as well and have to be removed based on their key value The sets of TIDs obtained can be merged for partial-match retrieval, so that selection can be accomplished prior to accessing the goal le The procedure can be visualized using Fig 4-35 and compared with Fig 4-12, where indexes were used We note that ranges of values are not supported unless the complications of additional serial access structures (Sec 4-6-3) are accepted The attribute values are hence made discrete; the Price, for instance, is given here as two distinct truncated values {31 000, 32 000} rather than as {31 000 33 000} in the indexed case of Sec 4-2-5 The information loss from truncation increases the number of collisions The accessing and merging of many buckets can still be costly An obvious approach to rapid direct partial-match access is to develop hash functions and pointer-lists which permit immediate retrieval of records in response to queries which specify multiple attributes in their search argument Any or all combinations of more than one attribute, as were considered for indexes in Sec 42-5, may be de ned and added to the a pointer-lists for the single attributes.

E X A M P L E 412 (Oracle)

Sec 4-6

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This program assigns the value 10 to some unknown memory location Here is why: Since the pointer p has never been given a value, it contains an unknown value when the assignment *p = x takes place This causes the value of x to be written to some unknown memory location This type of problem often goes unnoticed when your program is small because the odds are in favor of p containing a "safe" address one that is not in your code, data area, or operating system However, as your program grows, the probability increases of p pointing to something vital Eventually, your program stops working The solution is to always make sure that a pointer is pointing at something valid before it is used A second common error is caused by a simple misunderstanding of how to use a pointer Consider the following:

Providing for all possible (2a 1) or even many partial-match attribute combinations increases the number and hence the redundancy in the access lists greatly The reduction in number of indexes made possible by the sorted ordering within indexes does not apply here When multiattribute hashing techniques are being considered, the design decision has to balance redundancy in the les, leading to high update and storage costs versus the e ort saved at retrieval time This choice is actually equivalent to the familiar problem of binding-time selection, and we will abstract the alternatives using the binding paradigm If fast access is paramount, all possible partial-match attribute combinations for each record can be hashed At each hash address a set of pointers or TIDs will direct the fetch immediately to the goal records All these TIDs must be set when a record is inserted If an average record has a attributes of interest for retrieval, there will be 2a 1 entries per record The entries for the four houses retrieved for the query in example of Fig 4-35 are shown in Fig 4-36 These four houses have 4(2a 1) = 60 TIDs distributed over the 2a + 2a 1 1 = 23 buckets for the a = 4 attributes and the fth value for the extra price

Counting Rows a n d Unique Column Values Summarize the number of offerings and unique courses by year

Early Binding Entries for all records needed in response to a query will be found in the bucket; all records with identical key combinations cluster in the bucket The bucket may contain further entries because of collisions from the randomization Since the clustering of popular and few-attribute combinations leads to dense usage of some bucket addresses, a chained over ow to external buckets rather than open addressing is called for Combinations which do not correspond to records in the le will not generate entries in the pointer-lists; there may be, for instance, no Condominiums in WuthHeights

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