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        利用PHP實(shí)現(xiàn)Hash表功能

        字號(hào):


            Hash表作為最重要的數(shù)據(jù)結(jié)構(gòu)之一,也叫做散列表。使用PHP實(shí)現(xiàn)Hash表的功能。PHP可以模擬實(shí)現(xiàn)Hash表的增刪改查。通過對(duì)key的映射到數(shù)組中的一個(gè)位置來訪問。映射函數(shù)叫做Hash函數(shù),存放記錄的數(shù)組稱為Hash表。
            Hash函數(shù)把任意長度的和類型的key轉(zhuǎn)換成固定長度輸出。不同的key可能擁有相同的hash。
            Hash表的時(shí)間復(fù)雜度為O(1)
            代碼如下:
            <?php
            class HashTable{
            private $arr = array();
            private $size = 10;
            public function __construct(){
            //SplFixedArray創(chuàng)建的數(shù)組比一般的Array()效率更高,因?yàn)楦咏麮的數(shù)組。創(chuàng)建時(shí)需要指定尺寸
            $this->arr = new SplFixedArray($this->size);
            }
            /**
            * Description: 簡單hash算法。輸入key,輸出hash后的整數(shù)
            * @param $key
            * @return int
            */
            private function simpleHash($key){
            $len = strlen($key);
            //key中每個(gè)字符所對(duì)應(yīng)的ASCII的值
            $asciiTotal = 0;
            for($i=0; $i<$len; $i++){
            $asciiTotal += ord($key[$i]);
            }
            return $asciiTotal % $this->size;
            }
            /**
            * Description: 賦值
            * @param $key
            * @param $value
            * @return bool
            */
            public function set($key, $value){
            $hash = $this->simpleHash($key);
            $this->arr[$hash] = $value;
            return true;
            }
            /**
            * Description: 取值
            * @param $key
            * @return mixed
            */
            public function get($key){
            $hash = $this->simpleHash($key);
            return $this->arr[$hash];
            }
            public function getList(){
            return $this->arr;
            }
            public function editSize($size){
            $this->size = $size;
            $this->arr->setSize($size);
            }
            }
            ?>
            下面對(duì)我們的HashTable進(jìn)行測(cè)試。
            代碼如下:
            <?php
            //測(cè)試1
            $arr = new HashTable();
            for($i=0; $i<15; $i++){
            $arr->set('key'.$i, 'value'.$i);
            }
            print_r($arr->getList());
            //SplFixedArray Object
            //(
            // [0] => value14
            // [1] => value4
            // [2] => value5
            // [3] => value6
            // [4] => value7
            // [5] => value8
            // [6] => value10
            // [7] => value11
            // [8] => value12
            // [9] => value13
            //)
            //不同的key可能產(chǎn)生相同的hash值,那么賦值的時(shí)候后操作會(huì)覆蓋前操作。
            //測(cè)試2
            $arr->editSize(15);
            for($i=0; $i<15; $i++){
            $arr->set('key'.$i, 'value'.$i);
            }
            print_r($arr->getList());
            //SplFixedArray Object
            //(
            // [0] => value14
            // [1] => value4
            // [2] => value0
            // [3] => value1
            // [4] => value2
            // [5] => value3
            // [6] => value10
            // [7] => value11
            // [8] => value12
            // [9] => value13
            // [10] => value14
            // [11] => value9
            // [12] =>
            // [13] =>
            // [14] =>
            //)
            ?>
            改變了值之后可以存放更多的元素。但是仍然存在不同的key可能產(chǎn)生相同的hash值,那么賦值的時(shí)候后操作會(huì)覆蓋前操作的問題。這種沖突的問題我們來用拉鏈法解決。
            拉鏈法解決沖突。拉鏈法解決沖突的做法是將所有的相同Hash值的key放在一個(gè)鏈表中,比如key3和key14在hash之后都是0,那么在數(shù)組的鍵為0的地方存儲(chǔ)這兩個(gè)值,形式是鏈表。如果不能理解我的文字,請(qǐng)看下面的示例,看一下打印信息就明白了。拉鏈法是什么,就是鏈表。
            創(chuàng)建一個(gè)HashNode類,用來存儲(chǔ)key和value的值,并且存儲(chǔ)相同hash的另一個(gè)元素。在同一條鏈上,查找越后的元素越費(fèi)時(shí)。時(shí)間復(fù)雜度為O(n).
            代碼如下:
            <?php
            class HashNode{
            public $key;
            public $value;
            public $nextNode;
            public function __construct($key, $value, $nextNode=Null){
            $this->key = $key;
            $this->value = $value;
            $this->nextNode = $nextNode;
            }
            }
            class NewHashTable{
            private $arr;
            private $size = 10;
            public function __construct(){
            $this->arr = new SplFixedArray($this->size);
            }
            private function simpleHash($key){
            $asciiTotal = 0;
            $len = strlen($key);
            for($i=0; $i<$len; $i++){
            $asciiTotal += ord($key[$i]);
            }
            return $asciiTotal % $this->size;
            }
            public function set($key, $value){
            $hash = $this->simpleHash($key);
            if(isset($this->arr[$hash])){
            $newNode = new HashNode($key, $value, $this->arr[$hash]);
            }else{
            $newNode = new HashNode($key, $value, null);
            }
            $this->arr[$hash] = $newNode;
            return true;
            }
            public function get($key){
            $hash = $this->simpleHash($key);
            $current = $this->arr[$hash];
            while(!empty($current)){
            if($current->key == $key){
            return $current->value;
            }
            $current = $current->nextNode;
            }
            return NULL;
            }
            public function getList(){
            return $this->arr;
            }
            }
            ?>
            對(duì)我們新的HashTable進(jìn)行測(cè)試
            代碼如下:
            <?php
            //測(cè)試1
            $newArr = new NewHashTable();
            for($i=0; $i<30; $i++){
            $newArr->set('key'.$i, 'value'.$i);
            }
            print_r($newArr->getList());
            var_dump($newArr->get('key3'));
            //SplFixedArray Object
            //(
            // [0] => HashNode Object
            //(
            // [key] => key23
            // [value] => value23
            // [nextNode] => HashNode Object
            //(
            // [key] => key14
            // [value] => value14
            // [nextNode] => HashNode Object
            //(
            // [key] => key3
            // [value] => value3
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [1] => HashNode Object
            //(
            // [key] => key24
            // [value] => value24
            // [nextNode] => HashNode Object
            //(
            // [key] => key15
            // [value] => value15
            // [nextNode] => HashNode Object
            //(
            // [key] => key4
            // [value] => value4
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [2] => HashNode Object
            //(
            // [key] => key25
            // [value] => value25
            // [nextNode] => HashNode Object
            //(
            // [key] => key16
            // [value] => value16
            // [nextNode] => HashNode Object
            //(
            // [key] => key5
            // [value] => value5
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [3] => HashNode Object
            //(
            // [key] => key26
            // [value] => value26
            // [nextNode] => HashNode Object
            //(
            // [key] => key17
            // [value] => value17
            // [nextNode] => HashNode Object
            //(
            // [key] => key6
            // [value] => value6
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [4] => HashNode Object
            //(
            // [key] => key27
            // [value] => value27
            // [nextNode] => HashNode Object
            //(
            // [key] => key18
            // [value] => value18
            // [nextNode] => HashNode Object
            //(
            // [key] => key7
            // [value] => value7
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [5] => HashNode Object
            //(
            // [key] => key28
            // [value] => value28
            // [nextNode] => HashNode Object
            //(
            // [key] => key19
            // [value] => value19
            // [nextNode] => HashNode Object
            //(
            // [key] => key8
            // [value] => value8
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [6] => HashNode Object
            //(
            // [key] => key29
            // [value] => value29
            // [nextNode] => HashNode Object
            //(
            // [key] => key10
            // [value] => value10
            // [nextNode] => HashNode Object
            //(
            // [key] => key9
            // [value] => value9
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [7] => HashNode Object
            //(
            // [key] => key20
            // [value] => value20
            // [nextNode] => HashNode Object
            //(
            // [key] => key11
            // [value] => value11
            // [nextNode] => HashNode Object
            //(
            // [key] => key0
            // [value] => value0
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [8] => HashNode Object
            //(
            // [key] => key21
            // [value] => value21
            // [nextNode] => HashNode Object
            //(
            // [key] => key12
            // [value] => value12
            // [nextNode] => HashNode Object
            //(
            // [key] => key1
            // [value] => value1
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            // [9] => HashNode Object
            //(
            // [key] => key22
            // [value] => value22
            // [nextNode] => HashNode Object
            //(
            // [key] => key13
            // [value] => value13
            // [nextNode] => HashNode Object
            //(
            // [key] => key2
            // [value] => value2
            // [nextNode] =>
            // )
            //
            // )
            //
            // )
            //
            //)
            //string(6) "value3"
            ?>