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A simple hashed le organization enables us to locate records with a given search key value quickly, for example, Find the Students record for Joe, if the le is hashed on the name eld The pages in a hashed le are grouped into buckets Given a bucket number, the hashed le structure allows us to nd the primary page for that bucket The bucket to which a record belongs can be determined by applying a special function called a hash function, to the search eld(s) On inserts, a record is inserted into the appropriate bucket, with additional over ow pages allocated if the primary page for the bucket becomes full The over ow pages for each bucket are maintained in a linked list To search for a record with a given search key value, we simply apply the hash function to identify the bucket to which such records belong and look at all pages in that bucket This organization is called a static hashed le, and its main drawback is that long chains of over ow pages can develop This can a ect performance because all pages in a bucket have to be searched Dynamic hash structures that address this problem are known, and we discuss them in 10; for the analysis in this chapter, we will simply assume that there are no over ow pages Scan: In a hashed le, pages are kept at about 80 percent occupancy (to leave some space for future insertions and minimize over ow pages as the le expands) This is achieved by adding a new page to a bucket when each existing page is 80 percent full, when records are initially organized into a hashed le structure Thus, the number of pages, and the cost of scanning all the data pages, is about 125 times the cost of scanning an unordered le, that is, 125B(D + RC) Search with equality selection: This operation is supported very e ciently if the selection is on the search key for the hashed le (Otherwise, the entire le must. free pdf sdk vb.net vb . net - Print datagridview to PDF | DaniWeb
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