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Bloom filter的优点:
import java.util.BitSet;public class BloomFilter { /* BitSet初始分配2^24个bit */ private static final int DEFAULT_SIZE = 1 << 25; /* 不同哈希函数的种子,一般应取质数 */ private static final int[] seeds = new int[] { 5, 7, 11, 13, 31, 37, 61 }; private BitSet bits = new BitSet(DEFAULT_SIZE); /* 哈希函数对象 */ private SimpleHash[] func = new SimpleHash[seeds.length]; public BloomFilter() { for (int i = 0; i < seeds.length; i++) { func[i] = new SimpleHash(DEFAULT_SIZE, seeds[i]); } } // 将字符串标记到bits中 public void add(String value) { for (SimpleHash f : func) { bits.set(f.hash(value), true); } } // 判断字符串是否已经被bits标记 public boolean contains(String value) { if (value == null) { return false; } boolean ret = true; for (SimpleHash f : func) { ret = ret && bits.get(f.hash(value)); } return ret; } /* 哈希函数类 */ public static class SimpleHash { private int cap; private int seed; public SimpleHash(int cap, int seed) { this.cap = cap; this.seed = seed; } // hash函数,采用简单的加权和hash public int hash(String value) { int result = 0; int len = value.length(); for (int i = 0; i < len; i++) { result = seed * result + value.charAt(i); } return (cap - 1) & result; } }}
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