tailieunhanh - Linear Hashing

Linear Hashing allow a hash file to expand and shrink dynamically without needing a directory; Suppose the file starts with M buckets numbered 0,1, ,M -1 and used h(K) = K mod M. This hash function is called initial hash function hi. | Linear Hashing Appendix for Chapter 1 Linear Hashing Allow a hash file to expand and shrink dynamically without needing a directory. Suppose the file starts with M buckets numbered 0,1, ,M -1 and used h(K) = K mod M. This hash function is called initial hash function hi. Overflow can be handled by maintaining individual overflow chains for each bucket. When a collision leads to an overflow record in any file bucket, bucket 0 is split into 2 buckets: the original bucket 0 and a new bucket M at the end of the file. The records originally in bucket 0 are distributed between the two buckets based on hi+1(K)=K mod 2M. Any records that hashed to bucket 0 based on hi will hash to either bucket 0 or bucket M based on hi+1. Linear Hashing (cont.) With further overflow records, additional buckets are slit in the linear order 1,2, 3, 4, If enough overflows occur, all the original buckets 0,1, ,M-1 will have been split, so the file now has 2M instead of M buckets and all buckets use the hash function hi+1. Hence, the records in overflow are redistributed into regular buckets, using hi+1. There is a value n – which is initially set to 0 and is incremented by 1 whenever a split occurs – is needed to determine which buckets have been split. To retrieve a record with hash key value K, first apply hi to K; if hi(K) Linear Hashing (cont.) In general, hi+j(K) = K mod(2jM), where j =0,1,2 . A hash function is needed whenever all the buckets 0,1,2, ,(2jM)-1 have been split and n is reset to 0. Splitting can be controlled by monitoring the file load factor: l = r/(bfr*N) where r is the current number of | Linear Hashing Appendix for Chapter 1 Linear Hashing Allow a hash file to expand and shrink dynamically without needing a directory. Suppose the file starts with M buckets numbered 0,1, ,M -1 and used h(K) = K mod M. This hash function is called initial hash function hi. Overflow can be handled by maintaining individual overflow chains for each bucket. When a collision leads to an overflow record in any file bucket, bucket 0 is split into 2 buckets: the original bucket 0 and a new bucket M at the end of the file. The records originally in bucket 0 are distributed between the two buckets based on hi+1(K)=K mod 2M. Any records that hashed to bucket 0 based on hi will hash to either bucket 0 or bucket M based on hi+1. Linear Hashing (cont.) With further overflow records, additional buckets are slit in the linear order 1,2, 3, 4, If enough overflows occur, all the original buckets 0,1, ,M-1 will have been split, so the file now has 2M instead of M buckets and all buckets use