ArrayList源码分析(基于jdk1.8)(一):源码及基本操作

1.ArrayList简介

ArrayList继承关系如下图:


image.png

ArrayList继承了AbstractList类,并实现了List<E>, RandomAccess, Cloneable, java.io.Serializable等接口。其官方描述为 Resizable-array implementation of the List interface。阅读源码doc,如下:

 * Resizable-array implementation of the <tt>List</tt> interface.  Implements
 * all optional list operations, and permits all elements, including
 * <tt>null</tt>.  In addition to implementing the <tt>List</tt> interface,
 * this class provides methods to manipulate the size of the array that is
 * used internally to store the list.  (This class is roughly equivalent to
 * <tt>Vector</tt>, except that it is unsynchronized.)
 *

即用可变数组对List接口的一种实现。可以允许包括null在内的所有元素,提供了一系列通过操作内部数组大小来实现改变list的方法。等价于不加synchronized的Vector。(即Vector是加锁的ArrayList)。

* <p>The <tt>size</tt>, <tt>isEmpty</tt>, <tt>get</tt>, <tt>set</tt>,
 * <tt>iterator</tt>, and <tt>listIterator</tt> operations run in constant
 * time.  The <tt>add</tt> operation runs in <i>amortized constant time</i>,
 * that is, adding n elements requires O(n) time.  All of the other operations
 * run in linear time (roughly speaking).  The constant factor is low compared
 * to that for the <tt>LinkedList</tt> implementation.
 *

size、isEmpty、get、set、iterator、listIterator这些方法都是在恒定的时间内运行,大致来说,add方法时间复杂度O(n),其他的操作时间都在线性范围内,但是稳定性不如LinkedList的实现。

 * <p>Each <tt>ArrayList</tt> instance has a <i>capacity</i>.  The capacity is
 * the size of the array used to store the elements in the list.  It is always
 * at least as large as the list size.  As elements are added to an ArrayList,
 * its capacity grows automatically.  The details of the growth policy are not
 * specified beyond the fact that adding an element has constant amortized
 * time cost.
 <p>An application can increase the capacity of an <tt>ArrayList</tt> instance
 * before adding a large number of elements using the <tt>ensureCapacity</tt>
 * operation.  This may reduce the amount of incremental reallocation.
 *

每个ArrayList都有一个容量capacity,表示存储列表中各元素的数组的大小,这个容量至少和list的size一样大,当有新的元素被添加到ArrayList时,容量会增长扩容,扩容会带来额外的时间开销。
因此在增加大量元素之前,可以指定合适的容量以减少扩容的次数从而降低额外的时间开销。

 * <p><strong>Note that this implementation is not synchronized.</strong>
 * If multiple threads access an <tt>ArrayList</tt> instance concurrently,
 * and at least one of the threads modifies the list structurally, it
 * <i>must</i> be synchronized externally.  (A structural modification is
 * any operation that adds or deletes one or more elements, or explicitly
 * resizes the backing array; merely setting the value of an element is not
 * a structural modification.)  This is typically accomplished by
 * synchronizing on some object that naturally encapsulates the list.

 * If no such object exists, the list should be "wrapped" using the
 * {@link Collections#synchronizedList Collections.synchronizedList}
 * method.  This is best done at creation time, to prevent accidental
 * unsynchronized access to the list:<pre>
 *   List list = Collections.synchronizedList(new ArrayList(...));</pre>

ArrayList不是同步的,在多线程的情况下无法保证线程安全,因此如果要在多线程下操作,必须在外部加synchronized锁。 如果没有这样的对象,请用 Collections.synchronizedList方法在创建时加锁。

* <p><a name="fail-fast">
 * The iterators returned by this class's {@link #iterator() iterator} and
 * {@link #listIterator(int) listIterator} methods are <em>fail-fast</em>:</a>
 * if the list is structurally modified at any time after the iterator is
 * created, in any way except through the iterator's own
 * {@link ListIterator#remove() remove} or
 * {@link ListIterator#add(Object) add} methods, the iterator will throw a
 * {@link ConcurrentModificationException}.  Thus, in the face of
 * concurrent modification, the iterator fails quickly and cleanly, rather
 * than risking arbitrary, non-deterministic behavior at an undetermined
 * time in the future.
 *
 * <p>Note that the fail-fast behavior of an iterator cannot be guaranteed
 * as it is, generally speaking, impossible to make any hard guarantees in the
 * presence of unsynchronized concurrent modification.  Fail-fast iterators
 * throw {@code ConcurrentModificationException} on a best-effort basis.
 * Therefore, it would be wrong to write a program that depended on this
 * exception for its correctness:  <i>the fail-fast behavior of iterators
 * should be used only to detect bugs.</i>
 *
 * <p>This class is a member of the
 * <a href="{@docRoot}/../technotes/guides/collections/index.html">
 * Java Collections Framework</a>.

当一个线程在进行iterators操作时,如果有其他的线程对ArrayList进行了修改,则会触发fail-fast机制,抛出ConcurrentModificationException异常。通常在 ListIterator#remove()或 ListIterator#add(Object) 这两种情况。但是再非同步的环境下,fail-fast并不确保每次都会触发,因此依赖此异常的代码都是错误的,这个异常仅仅只是为了发现bug。

2.实例化过程

 /**
     * Default initial capacity.
     */
    private static final int DEFAULT_CAPACITY = 10;
    /**
     * Shared empty array instance used for empty instances.
     */
    private static final Object[] EMPTY_ELEMENTDATA = {};
  /**
     * Shared empty array instance used for default sized empty instances. We
     * distinguish this from EMPTY_ELEMENTDATA to know how much to inflate when
     * first element is added.
     */
    private static final Object[] DEFAULTCAPACITY_EMPTY_ELEMENTDATA = {};
    /**
     * The array buffer into which the elements of the ArrayList are stored.
     * The capacity of the ArrayList is the length of this array buffer. Any
     * empty ArrayList with elementData == DEFAULTCAPACITY_EMPTY_ELEMENTDATA
     * will be expanded to DEFAULT_CAPACITY when the first element is added.
     */
    transient Object[] elementData; // non-private to simplify nested class access

  /**
     * Constructs an empty list with an initial capacity of ten.
     */
    public ArrayList() {
        this.elementData = DEFAULTCAPACITY_EMPTY_ELEMENTDATA;
    }

可以看到,在ArrayList内部,定义了一个elementData变量,为Object数组,用于存储ArrayList内部元素。其默认的构造方法则初始化了一个空数组DEFAULTCAPACITY_EMPTY_ELEMENTDATA。

    /**
     * Constructs an empty list with the specified initial capacity.
     *
     * @param  initialCapacity  the initial capacity of the list
     * @throws IllegalArgumentException if the specified initial capacity
     *         is negative
     */
    public ArrayList(int initialCapacity) {
        if (initialCapacity > 0) {
            this.elementData = new Object[initialCapacity];
        } else if (initialCapacity == 0) {
            this.elementData = EMPTY_ELEMENTDATA;
        } else {
            throw new IllegalArgumentException("Illegal Capacity: "+
                                               initialCapacity);
        }
    }

当然也可以根据数据量大小指定数组容量。

3.add过程

当ArrayList增加元素时,其内部的数组会进行扩容。对其add方法进行分析:

    /**
     * Appends the specified element to the end of this list.
     *
     * @param e element to be appended to this list
     * @return <tt>true</tt> (as specified by {@link Collection#add})
     */
    public boolean add(E e) {
        ensureCapacityInternal(size + 1);  // Increments modCount!!
        elementData[size++] = e;
        return true;
    }

可以发现,只有在调用add方法向List内添加元素的时候,会调用一个ensureCapacityInternal方法,创建一个新的内部数组:

/**
     * Increases the capacity of this <tt>ArrayList</tt> instance, if
     * necessary, to ensure that it can hold at least the number of elements
     * specified by the minimum capacity argument.
     *
     * @param   minCapacity   the desired minimum capacity
     */
    public void ensureCapacity(int minCapacity) {
        int minExpand = (elementData != DEFAULTCAPACITY_EMPTY_ELEMENTDATA)
            // any size if not default element table
            ? 0
            // larger than default for default empty table. It's already
            // supposed to be at default size.
            : DEFAULT_CAPACITY;

        if (minCapacity > minExpand) {
            ensureExplicitCapacity(minCapacity);
        }
    }

    private void ensureCapacityInternal(int minCapacity) {
        if (elementData == DEFAULTCAPACITY_EMPTY_ELEMENTDATA) {
            minCapacity = Math.max(DEFAULT_CAPACITY, minCapacity);
        }

        ensureExplicitCapacity(minCapacity);
    }

    private void ensureExplicitCapacity(int minCapacity) {
        modCount++;

        // overflow-conscious code
        if (minCapacity - elementData.length > 0)
            grow(minCapacity);
    }

重点在grow方法上,实例化的时候是一个空数组,那么当add元素的时候,ensureCapacity必须确保容量为minCapacity,初始的容量是 DEFAULT_CAPACITY,这个数值是10:

   /**
    * Default initial capacity.
    */
   private static final int DEFAULT_CAPACITY = 10;

增加第一个元素的时候minCapacity为10,调用grow方法将内部数组扩容到10

/**
     * Increases the capacity to ensure that it can hold at least the
     * number of elements specified by the minimum capacity argument.
     *
     * @param minCapacity the desired minimum capacity
     */
    private void grow(int minCapacity) {
        // overflow-conscious code
        int oldCapacity = elementData.length;
        int newCapacity = oldCapacity + (oldCapacity >> 1);
        if (newCapacity - minCapacity < 0)
            newCapacity = minCapacity;
        if (newCapacity - MAX_ARRAY_SIZE > 0)
            newCapacity = hugeCapacity(minCapacity);
        // minCapacity is usually close to size, so this is a win:
        elementData = Arrays.copyOf(elementData, newCapacity);
    }

对于grow函数,需要注意的是,扩容的逻辑 newCapacity = oldCapacity + (oldCapacity >> 1),采用右移及将扩容的增量为扩容之前容量除2。即其内部数组的大小增长为: 10、15、22、33、49。。。。
另外扩容的方法采用数组Arrays.copyOf方法,其底层为:

    public static <T,U> T[] copyOf(U[] original, int newLength, Class<? extends T[]> newType) {
        @SuppressWarnings("unchecked")
        T[] copy = ((Object)newType == (Object)Object[].class)
            ? (T[]) new Object[newLength]
            : (T[]) Array.newInstance(newType.getComponentType(), newLength);
        System.arraycopy(original, 0, copy, 0,
                         Math.min(original.length, newLength));
        return copy;
    }

 public static native void arraycopy(Object src,  int  srcPos,
                                        Object dest, int destPos,
                                        int length);

可以发现arraycopy实际上是个native方法,动态库c实现。这也是数组拷贝的常用方法,经常出现在面试过程中。

4.remove过程

    /**
     * Removes the element at the specified position in this list.
     * Shifts any subsequent elements to the left (subtracts one from their
     * indices).
     *
     * @param index the index of the element to be removed
     * @return the element that was removed from the list
     * @throws IndexOutOfBoundsException {@inheritDoc}
     */
    public E remove(int index) {
        rangeCheck(index);

        modCount++;
        E oldValue = elementData(index);

        int numMoved = size - index - 1;
        if (numMoved > 0)
            System.arraycopy(elementData, index+1, elementData, index,
                             numMoved);
        elementData[--size] = null; // clear to let GC do its work

        return oldValue;
    }

调用remove函数,将指定的元素进行移除,同样也是采用的system.arraycodpy方法,将数组内部进行移动,之后将最后末尾的引用设置为null,让GC操作可以回收释放的对象。但是需要注意的是该数组并没有变小,如果需要将数组多余的空间回收,需要调用trimToSize方法:

/**
     * Trims the capacity of this <tt>ArrayList</tt> instance to be the
     * list's current size.  An application can use this operation to minimize
     * the storage of an <tt>ArrayList</tt> instance.
     */
    public void trimToSize() {
        modCount++;
        if (size < elementData.length) {
            elementData = (size == 0)
              ? EMPTY_ELEMENTDATA
              : Arrays.copyOf(elementData, size);
        }
    }

也就是说,如果内存比较紧张的情况下,在对一个大的ArrayList进行了remove操作之后,最好是调用trimToSize回收部分空间。底层还是用System.arraycopy方法,这个方法也是以后对于数组的面试问题需要关注的重点。
如果再需要更深层次的实现,那么需要看jdk源码,对此方法进行分析。

5.fail-fast机制

fail-fast 机制是java集合(Collection)中的一种错误机制。它只能被用来检测错误,因为JDK并不保证fail-fast机制一定会发生。当多个线程对同一个集合的内容进行操作时,就可能会产生fail-fast事件。例如:当某一个线程A通过iterator去遍历某集合的过程中,若该集合的内容被其他线程所改变了;那么线程A访问集合时,就会抛出ConcurrentModificationException异常,产生fail-fast事件。这种“ 及时失败” 的迭代器井不是一种完备的处理机制,而只是“ 善意地” 捕获并发错误,因此只能作为并发问题的预警指示器。
其实现如下:

/**
     * The number of times this list has been <i>structurally modified</i>.
     * Structural modifications are those that change the size of the
     * list, or otherwise perturb it in such a fashion that iterations in
     * progress may yield incorrect results.
     *
     * <p>This field is used by the iterator and list iterator implementation
     * returned by the {@code iterator} and {@code listIterator} methods.
     * If the value of this field changes unexpectedly, the iterator (or list
     * iterator) will throw a {@code ConcurrentModificationException} in
     * response to the {@code next}, {@code remove}, {@code previous},
     * {@code set} or {@code add} operations.  This provides
     * <i>fail-fast</i> behavior, rather than non-deterministic behavior in
     * the face of concurrent modification during iteration.
     *
     * <p><b>Use of this field by subclasses is optional.</b> If a subclass
     * wishes to provide fail-fast iterators (and list iterators), then it
     * merely has to increment this field in its {@code add(int, E)} and
     * {@code remove(int)} methods (and any other methods that it overrides
     * that result in structural modifications to the list).  A single call to
     * {@code add(int, E)} or {@code remove(int)} must add no more than
     * one to this field, or the iterators (and list iterators) will throw
     * bogus {@code ConcurrentModificationExceptions}.  If an implementation
     * does not wish to provide fail-fast iterators, this field may be
     * ignored.
     */
    protected transient int modCount = 0;

用modCount 表示list被修改的次数,当使用iterator的时候

  public Iterator<E> iterator() {
            return listIterator();
        }
 public ListIterator<E> listIterator(final int index) {
            checkForComodification();
            rangeCheckForAdd(index);
            final int offset = this.offset;

            return new ListIterator<E>() {
                int cursor = index;
                int lastRet = -1;
                int expectedModCount = ArrayList.this.modCount;

                public boolean hasNext() {
                    return cursor != SubList.this.size;
                }

                @SuppressWarnings("unchecked")
                public E next() {
                    checkForComodification();
                    int i = cursor;
                    if (i >= SubList.this.size)
                        throw new NoSuchElementException();
                    Object[] elementData = ArrayList.this.elementData;
                    if (offset + i >= elementData.length)
                        throw new ConcurrentModificationException();
                    cursor = i + 1;
                    return (E) elementData[offset + (lastRet = i)];
                }

                public boolean hasPrevious() {
                    return cursor != 0;
                }

                @SuppressWarnings("unchecked")
                public E previous() {
                    checkForComodification();
                    int i = cursor - 1;
                    if (i < 0)
                        throw new NoSuchElementException();
                    Object[] elementData = ArrayList.this.elementData;
                    if (offset + i >= elementData.length)
                        throw new ConcurrentModificationException();
                    cursor = i;
                    return (E) elementData[offset + (lastRet = i)];
                }

                @SuppressWarnings("unchecked")
                public void forEachRemaining(Consumer<? super E> consumer) {
                    Objects.requireNonNull(consumer);
                    final int size = SubList.this.size;
                    int i = cursor;
                    if (i >= size) {
                        return;
                    }
                    final Object[] elementData = ArrayList.this.elementData;
                    if (offset + i >= elementData.length) {
                        throw new ConcurrentModificationException();
                    }
                    while (i != size && modCount == expectedModCount) {
                        consumer.accept((E) elementData[offset + (i++)]);
                    }
                    // update once at end of iteration to reduce heap write traffic
                    lastRet = cursor = i;
                    checkForComodification();
                }

                public int nextIndex() {
                    return cursor;
                }

                public int previousIndex() {
                    return cursor - 1;
                }

                public void remove() {
                    if (lastRet < 0)
                        throw new IllegalStateException();
                    checkForComodification();

                    try {
                        SubList.this.remove(lastRet);
                        cursor = lastRet;
                        lastRet = -1;
                        expectedModCount = ArrayList.this.modCount;
                    } catch (IndexOutOfBoundsException ex) {
                        throw new ConcurrentModificationException();
                    }
                }

                public void set(E e) {
                    if (lastRet < 0)
                        throw new IllegalStateException();
                    checkForComodification();

                    try {
                        ArrayList.this.set(offset + lastRet, e);
                    } catch (IndexOutOfBoundsException ex) {
                        throw new ConcurrentModificationException();
                    }
                }

                public void add(E e) {
                    checkForComodification();

                    try {
                        int i = cursor;
                        SubList.this.add(i, e);
                        cursor = i + 1;
                        lastRet = -1;
                        expectedModCount = ArrayList.this.modCount;
                    } catch (IndexOutOfBoundsException ex) {
                        throw new ConcurrentModificationException();
                    }
                }

                final void checkForComodification() {
                    if (expectedModCount != ArrayList.this.modCount)
                        throw new ConcurrentModificationException();
                }
            };
        }

hasNext方法判断是否还有下一个元素,再next方法中,

      public E next() {
                    checkForComodification();
                    int i = cursor;
                    if (i >= SubList.this.size)
                        throw new NoSuchElementException();
                    Object[] elementData = ArrayList.this.elementData;
                    if (offset + i >= elementData.length)
                        throw new ConcurrentModificationException();
                    cursor = i + 1;
                    return (E) elementData[offset + (lastRet = i)];
                }

重点是通过 checkForComodification();先做了一次check操作。

 final void checkForComodification() {
                    if (expectedModCount != ArrayList.this.modCount)
                        throw new ConcurrentModificationException();
                }

而在开始初始化的时候已经将modCount进行了保存

int expectedModCount = ArrayList.this.modCount;

此时只需要通过 if (expectedModCount != ArrayList.this.modCount) 进行比较,如果发现不一致,则会抛出ConcurrentModificationException异常。
在实际过程中,对于此异常的解决办法主要有如下两个方案:
方案一:在遍历过程中所有涉及到改变modCount值得地方全部加上synchronized或者直接使用Collections.synchronizedList,这样就可以解决。但是不推荐,因为增删造成的同步锁可能会阻塞遍历操作。
方案二:使用CopyOnWriteArrayList来替换ArrayList。推荐使用该方案。CopyOnWriteArrayList 是ArrayList 的一个线程安全的变体,其中所有可变操作(add、set 等等)都是通过对底层数组进行一次新的复制来实现的。 该类产生的开销比较大,但是在两种情况下,它非常适合使用。1:在不能或不想进行同步遍历,但又需要从并发线程中排除冲突时。2:当遍历操作的数量大大超过可变操作的数量时。遇到这两种情况使用CopyOnWriteArrayList来替代ArrayList再适合不过了。
后续将对CopyOnWriteArrayList源码进行分析。

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