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【java源碼一帶一路系列】之HashMap.compute()

wapeyang / 478人閱讀

摘要:本篇涉及少許以下簡稱新特性,請驢友們系好安全帶,準備開車。觀光線路圖是在中新增的一個方法,相對而言較為陌生。其作用是把的計算結果關聯到上即返回值作為新。實際上,乃縮寫,即二元函數之意類似。

本文以jdk1.8中HashMap.compute()方法為切入點,分析其中難理解、有價值的源碼片段(類似源碼查看是ctrl+鼠標左鍵的過程)。本篇涉及少許Java8(以下簡稱J8)新特性,請驢友們系好安全帶,準備開車。觀光線路圖:compute() --> BiFunction --> @FunctionalInterface --> afterNodeAccess() --> computeIfAbsent() --> computeIfPresent()...

? compute()
@Override
public V compute(K key,
                 BiFunction remappingFunction) {
    if (remappingFunction == null)
        throw new NullPointerException();
    int hash = hash(key);
    Node[] tab; Node first; int n, i;
    int binCount = 0;
    TreeNode t = null;
    Node old = null;
    if (size > threshold || (tab = table) == null ||
        (n = tab.length) == 0)
        n = (tab = resize()).length;
    if ((first = tab[i = (n - 1) & hash]) != null) {
        if (first instanceof TreeNode)
            old = (t = (TreeNode)first).getTreeNode(hash, key);
        else {
            Node e = first; K k;
            do {
                if (e.hash == hash &&
                    ((k = e.key) == key || (key != null && key.equals(k)))) {
                    old = e;
                    break;
                }
                ++binCount;
            } while ((e = e.next) != null);
        }
    }
    V oldValue = (old == null) ? null : old.value;
    V v = remappingFunction.apply(key, oldValue);
    if (old != null) {
        if (v != null) {
            old.value = v;
            afterNodeAccess(old);
        }
        else
            removeNode(hash, key, null, false, true);
    }
    else if (v != null) {
        if (t != null)
            t.putTreeVal(this, tab, hash, key, v);
        else {
            tab[i] = newNode(hash, key, v, first);
            if (binCount >= TREEIFY_THRESHOLD - 1)
                treeifyBin(tab, hash);
        }
        ++modCount;
        ++size;
        afterNodeInsertion(true);
    }
    return v;
}

compute()是java8在Map中新增的一個方法,相對而言較為陌生。其作用是把remappingFunction的計算結果關聯到key上(即remappingFunction返回值作為新value)。寫一段它的簡單應用的代碼,并與“同級生”merge()類比加深理解:

HashMap map = new HashMap();
map.put("a", "c");
map.put("b", "h");
map.put("c", "e");

map.compute("a", (k, v) -> "C") ;
map.merge("b", "h", (k, v) -> "H") ;
map.compute("d", (k, v) -> "D") ;
map.merge("c", "e", (k, v) -> null) ;
System.out.println(map.toString()); 
// 輸出結果為:{a=C, b=H, d=D}

下面用一張表來總結源碼最后的判斷對應的操作:

vold null not null
null remove
not null put replace
? BiFunction
/**
 * Represents a function that accepts two arguments and produces a result.
 * This is the two-arity specialization of {@link Function}.
 *
 * 

This is a functional interface * whose functional method is {@link #apply(Object, Object)}. * * @param the type of the first argument to the function * @param the type of the second argument to the function * @param the type of the result of the function * * @see Function * @since 1.8 */ @FunctionalInterface public interface BiFunction { /** * Applies this function to the given arguments. * * @param t the first function argument * @param u the second function argument * @return the function result */ R apply(T t, U u); /** * Returns a composed function that first applies this function to * its input, and then applies the {@code after} function to the result. * If evaluation of either function throws an exception, it is relayed to * the caller of the composed function. * * @param the type of output of the {@code after} function, and of the * composed function * @param after the function to apply after this function is applied * @return a composed function that first applies this function and then * applies the {@code after} function * @throws NullPointerException if after is null */ default BiFunction andThen(Function after) { Objects.requireNonNull(after); return (T t, U u) -> after.apply(apply(t, u)); } }

是的,這也J8新增的梗。當我第一眼看到逼函數(BiFunction)的時候就原地炸了。實際上,“Bi”乃binary縮寫,即“二元函數”之意(類似“1+1=2”)。這類接口稱為“函數式接口”,可以看出,它的==方法有方法體==。且以“default”修飾符修飾,不影響接口的實現類,算是一種向下兼容吧。

? @FunctionalInterface
/**
 * An informative annotation type used to indicate that an interface
 * type declaration is intended to be a functional interface as
 * defined by the Java Language Specification.
 *
 * Conceptually, a functional interface has exactly one abstract
 * method.  Since {@linkplain java.lang.reflect.Method#isDefault()
 * default methods} have an implementation, they are not abstract.  If
 * an interface declares an abstract method overriding one of the
 * public methods of {@code java.lang.Object}, that also does
 * not count toward the interface"s abstract method count
 * since any implementation of the interface will have an
 * implementation from {@code java.lang.Object} or elsewhere.
 *
 * 

Note that instances of functional interfaces can be created with * lambda expressions, method references, or constructor references. * *

If a type is annotated with this annotation type, compilers are * required to generate an error message unless: * *

    *
  • The type is an interface type and not an annotation type, enum, or class. *
  • The annotated type satisfies the requirements of a functional interface. *
* *

However, the compiler will treat any interface meeting the * definition of a functional interface as a functional interface * regardless of whether or not a {@code FunctionalInterface} * annotation is present on the interface declaration. * * @jls 4.3.2. The Class Object * @jls 9.8 Functional Interfaces * @jls 9.4.3 Interface Method Body * @since 1.8 */ @Documented @Retention(RetentionPolicy.RUNTIME) @Target(ElementType.TYPE) public @interface FunctionalInterface {}

“@FunctionalInterface”并非必須,就像javascript中的“use strict”,使得編譯器能檢查該接口是否存在語法錯誤。此外,從注釋還可以看出:

函數接口僅有一個抽象方法;

default方法、Object的重載方法(、靜態方法)非抽象方法;

? afterNodeAccess()
// Callbacks to allow LinkedHashMap post-actions
void afterNodeAccess(Node p) { }
void afterNodeInsertion(boolean evict) { }
void afterNodeRemoval(Node p) { }

從注釋可以看到這是為LinkedHashMap留的后路,不過HashMap存取操作中經常發現他們的身影,即使實現為空。。

? computeIfAbsent()/computeIfPresent()
@Override
public V computeIfAbsent(K key,
                         Function mappingFunction) {
    if (mappingFunction == null)
        throw new NullPointerException();
    int hash = hash(key);
    Node[] tab; Node first; int n, i;
    int binCount = 0;
    TreeNode t = null;
    Node old = null;
    if (size > threshold || (tab = table) == null ||
        (n = tab.length) == 0)
        n = (tab = resize()).length;
    if ((first = tab[i = (n - 1) & hash]) != null) {
        if (first instanceof TreeNode)
            old = (t = (TreeNode)first).getTreeNode(hash, key);
        else {
            Node e = first; K k;
            do {
                if (e.hash == hash &&
                    ((k = e.key) == key || (key != null && key.equals(k)))) {
                    old = e;
                    break;
                }
                ++binCount;
            } while ((e = e.next) != null);
        }
        V oldValue;
        if (old != null && (oldValue = old.value) != null) {
            afterNodeAccess(old);
            return oldValue;
        }
    }
    V v = mappingFunction.apply(key);
    if (v == null) {
        return null;
    } else if (old != null) {
        old.value = v; // old.value null
        afterNodeAccess(old);
        return v;
    }
    else if (t != null)
        t.putTreeVal(this, tab, hash, key, v);
    else {
        tab[i] = newNode(hash, key, v, first);
        if (binCount >= TREEIFY_THRESHOLD - 1)
            treeifyBin(tab, hash);
    }
    ++modCount;
    ++size;
    afterNodeInsertion(true);
    return v;
}

public V computeIfPresent(K key,
                          BiFunction remappingFunction) {
    if (remappingFunction == null)
        throw new NullPointerException();
    Node e; V oldValue;
    int hash = hash(key);
    if ((e = getNode(hash, key)) != null &&
        (oldValue = e.value) != null) {
        V v = remappingFunction.apply(key, oldValue);
        if (v != null) {
            e.value = v;
            afterNodeAccess(e);
            return v;
        }
        else
            removeNode(hash, key, null, false, true);
    }
    return null;
}

computeIfAbsent()與computeIfPresent()可以說是compute()的“子集”。

這次的功夫主要花在了學習J8的知識點上,經過前2篇后HashMap本身不再那么可怕。你覺得呢?

更多有意思的內容,歡迎訪問筆者小站: rebey.cn

彩蛋

最后分享幾個學習Java8過程中看到良心網址(以下鏈接為網站系列文章之一,希望細心的你舉一反三):

Java8初體驗(二)Stream語法詳解;

Java 8 中的 Streams API 詳解;

Java 8 flatMap example;

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