为什么不能用斐波那契散列，做数据库路由算法？

public double fibonacci(int{
    double currentVal = 1;
    double previousVal = 0;
    if (n == 1) return 1;
    int iterationsCounter = n - 1;
    while (iterationsCounter > 0) {
        currentVal += previousVal;
        previousVal = currentVal - previousVal;
        iterationsCounter -= 1;
    }
    return currentVal;
}

public int fibonacciRecursion(int{
    if (n == 1 || n == 2) {
        return 1;
    } else {
        return (fibonacciRecursion(n - 1) + fibonacciRecursion(n - 2));
    }
}

public double fibonacciClosedForm(long{
    int maxPosition = 75;
    if (position < 1 || position > maxPosition) {
        throw new RuntimeException("Can't handle position smaller than 1 or greater than 75");
    }
    double sqrt = Math.sqrt(5);
    double phi = (1 + sqrt) / 2;
    return Math.floor((Math.pow(phi, position)) / sqrt + 0.5);
}

public Map<Integer, Map<Integer, Integer>> hashFunction(int dbCount, int tbCount, Long hashIncrementVal, int hashType) {
    int size = dbCount * tbCount;
    System.out.print("库数：" + dbCount + " 表数：" + tbCount + " 总值：" + size + " 幂值：" + Math.log(size) / Math.log(2));
  
    int HASH_INCREMENT = (int) ((null == hashIncrementVal ? size : hashIncrementVal) * (Math.sqrt(5) - 1) / 2);
    System.out.print(" 黄金分割：" + HASH_INCREMENT + "/" + size + " = " + (double) HASH_INCREMENT / size);
  
    Map<Integer, Map<Integer, Integer>> map = new ConcurrentHashMap<>();
    Set<String> words = FileUtil.readWordList("/Users/fuzhengwei/1024/github/java-algorithms/logic/src/main/java/math/fibonacci/103976个英语单词库.txt");
    System.out.println(" 单词总数：" + words.size() + "\r\n");
  
    for (String word : words) {
        int idx = 0;
        switch (hashType) {
            // 散列：斐波那契散列  int idx = (size - 1) & (word.hashCode() * HASH_INCREMENT + HASH_INCREMENT);
            case 0:
                idx = (word.hashCode() * HASH_INCREMENT) & (size - 1);
                break;
            // 散列：哈希散列 + 扰动函数
            case 1:
                idx = (size - 1) & (word.hashCode() ^ (word.hashCode() >>> 16));
                break;
            // 散列：哈希散列
            case 2:
                idx = (size - 1) & (word.hashCode());
                break;
            // 散列：整数求模
            case 3:
                idx = Math.abs(word.hashCode()) % size;
                break;
        }
      
        // 计算路由索引
        int dbIdx = idx / tbCount + 1;
        int tbIdx = idx - tbCount * (dbIdx - 1);
      
        // 保存路由结果
        if (map.containsKey(dbIdx)) {
            Map<Integer, Integer> dbCountMap = map.get(dbIdx);
            if (dbCountMap.containsKey(tbIdx)) {
                dbCountMap.put(tbIdx, dbCountMap.get(tbIdx) + 1);
            } else {
                dbCountMap.put(tbIdx, 1);
            }
        } else {
            Map<Integer, Integer> dbCountMap = new HashMap<>();
            dbCountMap.put(tbIdx, 1);
            map.put(dbIdx, dbCountMap);
        }
    }
    return map;
}

@Test
public void test_hashFunction_0_hash_null(){
    Map<Integer, Map<Integer, Integer>> map = fibonacci.hashFunction(8, 32, null, 0);
    Set<Integer> keys = map.keySet();
    for (Integer key : keys) {
        Collection<Integer> values = map.get(key).values();
        for (Integer v : values) {
            System.out.print(v + " ");
        }
        System.out.println();
    }
}

库数：8 表数：32 总值：256 幂值：8.0 黄金分割：2147483647/256 = 8388607.99609375 单词总数：103976

@Test
public void test_hashFunction_0(){
    Map<Integer, Map<Integer, Integer>> map = fibonacci.hashFunction(8, 32, 1L << 32, 0);
    Set<Integer> keys = map.keySet();
    for (Integer key : keys) {
        Collection<Integer> values = map.get(key).values();
        for (Integer v : values) {
            System.out.print(v + " ");
        }
        System.out.println();
    }
}

库数：8 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976

库数：16 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976

    Map<Integer, Map<Integer, Integer>> map = fibonacci.hashFunction(9, 32, 1L << 32, 0);
    Set<Integer> keys = map.keySet();
    for (Integer key : keys) {
        Collection<Integer> values = map.get(key).values();
        for (Integer v : values) {
            System.out.print(v + " ");
        }
        System.out.println();
    }
}

库数：9 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976

@Test
public void test_hashFunction_3(){
    Map<Integer, Map<Integer, Integer>> map = fibonacci.hashFunction(8, 32, null, 3);
    Set<Integer> keys = map.keySet();
    for (Integer key : keys) {
        Collection<Integer> values = map.get(key).values();
        for (Integer v : values) {
            System.out.print(v + " ");
        }
        System.out.println();
    }
}

库数：8 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976

库数：16 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976

@Test
public void test_hashFunction_3(){
    Map<Integer, Map<Integer, Integer>> map = fibonacci.hashFunction(9, 32, null, 3);
    Set<Integer> keys = map.keySet();
    for (Integer key : keys) {
        Collection<Integer> values = map.get(key).values();
        for (Integer v : values) {
            System.out.print(v + " ");
        }
        System.out.println();
    }
}

库数：9 表数：32 总值：512 幂值：9.0 黄金分割：2147483647/512 = 4194303.998046875 单词总数：103976