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最近在重构one的项目,其中用HashMap来缓存ActivityGroup加载过的View,Eclipse给出了一个警告,之前考虑项目进度没怎么在意,这次仔细看了下提示,如下:
Use new SparseArray<View> (...) instead for better performance
意思就是说用SparseArray来替代,以获取更好的性能。对SparseArray根本不熟悉,甚至都没听过,第一感觉应该是Android提供的类,于是F3进入SparseArray的源码,果不其然,确实是Android提供的一个工具类,部分源码如下:
- * Copyright (C) 2006 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
- package android.util;
-
- import com.android.internal.util.ArrayUtils;
-
- /**
- * SparseArrays map integers to Objects. Unlike a normal array of Objects,
- * there can be gaps in the indices. It is intended to be more efficient
- * than using a HashMap to map Integers to Objects.
- */
- public class SparseArray<E> implements Cloneable {
- private static final Object DELETED = new Object();
- private boolean mGarbage = false;
-
- private int[] mKeys;
- private Object[] mValues;
- private int mSize;
-
- /**
- * Creates a new SparseArray containing no mappings.
- */
- public SparseArray() {
- this(10);
- }
-
- /**
- * Creates a new SparseArray containing no mappings that will not
- * require any additional memory allocation to store the specified
- * number of mappings.
- */
- public SparseArray(int initialCapacity) {
- initialCapacity = ArrayUtils.idealIntArraySize(initialCapacity);
- mKeys = new int[initialCapacity];
- mValues = new Object[initialCapacity];
- mSize = 0;
- }
- @Override
- @SuppressWarnings("unchecked")
- public SparseArray<E> clone() {
- SparseArray<E> clone = null;
- try {
- clone = (SparseArray<E>) super.clone();
- clone.mKeys = mKeys.clone();
- clone.mValues = mValues.clone();
- } catch (CloneNotSupportedException cnse) {
- /* ignore */
- }
- return clone;
- }
- /**
- * Gets the Object mapped from the specified key, or <code>null</code>
- * if no such mapping has been made.
- */
- public E get(int key) {
- return get(key, null);
- }
-
- /**
- * Gets the Object mapped from the specified key, or the specified Object
- * if no such mapping has been made.
- */
- @SuppressWarnings("unchecked")
- public E get(int key, E valueIfKeyNotFound) {
- int i = binarySearch(mKeys, 0, mSize, key);
- if (i < 0 || mValues[i] == DELETED) {
- return valueIfKeyNotFound;
- } else {
- return (E) mValues[i];
- }
- }
- /**
- * Removes the mapping from the specified key, if there was any.
- */
- public void delete(int key) {
- int i = binarySearch(mKeys, 0, mSize, key);
- if (i >= 0) {
- if (mValues[i] != DELETED) {
- mValues[i] = DELETED;
- mGarbage = true;
- }
- }
- }
- /**
- * Alias for {@link #delete(int)}.
- */
- public void remove(int key) {
- delete(key);
- }
- /**
- * Removes the mapping at the specified index.
- */
- public void removeAt(int index) {
- if (mValues[index] != DELETED) {
- mValues[index] = DELETED;
- mGarbage = true;
- }
- }
- ...
mSize++;单纯从字面上来理解,SparseArray指的是稀疏数组(Sparse array),所谓稀疏数组就是数组中大部分的内容值都未被使用(或都为零),在数组中仅有少部分的空间使用。因此造成内存空间的浪费,为了节省内存空间,并且不影响数组中原有的内容值,我们可以采用一种压缩的方式来表示稀疏数组的内容。
继续阅读SparseArray的源码,从构造方法我们可以看出,它和一般的List一样,可以预先设置容器大小,默认的大小是10:
- public SparseArray() {
- this(10);
- }
-
- public SparseArray(int initialCapacity) {
- initialCapacity = ArrayUtils.idealIntArraySize(initialCapacity);
-
- mKeys = new int[initialCapacity];
- mValues = new Object[initialCapacity];
- mSize = 0;
- }
再来看看它对数据的“增删改查”。
- public void put(int key, E value) {}
- public void append(int key, E value){}
修改数据起初以为只有setValueAt(int index, E value)可以修改数据,但后来发现put(int key, E value)也可以修改数据,我们查看put(int key, E value)的源码可知,在put数据之前,会先查找要put的数据是否已经存在,如果存在就是修改,不存在就添加。
- public void put(int key, E value) {
- int i = binarySearch(mKeys, 0, mSize, key);
-
- if (i >= 0) {
- mValues[i] = value;
- } else {
- i = ~i;
-
- if (i < mSize && mValues[i] == DELETED) {
- mKeys[i] = key;
- mValues[i] = value;
- return;
- }
-
- if (mGarbage && mSize >= mKeys.length) {
- gc();
-
- // Search again because indices may have changed.
- i = ~binarySearch(mKeys, 0, mSize, key);
- }
-
- if (mSize >= mKeys.length) {
- int n = ArrayUtils.idealIntArraySize(mSize + 1);
-
- int[] nkeys = new int[n];
- Object[] nvalues = new Object[n];
-
- // Log.e("SparseArray", "grow " + mKeys.length + " to " + n);
- System.arraycopy(mKeys, 0, nkeys, 0, mKeys.length);
- System.arraycopy(mValues, 0, nvalues, 0, mValues.length);
-
- mKeys = nkeys;
- mValues = nvalues;
- }
-
- if (mSize - i != 0) {
- // Log.e("SparseArray", "move " + (mSize - i));
- System.arraycopy(mKeys, i, mKeys, i + 1, mSize - i);
- System.arraycopy(mValues, i, mValues, i + 1, mSize - i);
- }
-
- mKeys[i] = key;
- mValues[i] = value;
-
- }
- }
所以,修改数据实际也有两种方法:
- public void put(int key, E value)
- public void setValueAt(int index, E value)
最后再来看看如何查找数据。有两个方法可以查询取值:
- public E get(int key)
- public E get(int key, E valueIfKeyNotFound)
其中get(int key)也只是调用了 get(int key,E valueIfKeyNotFound),最后一个从传参的变量名就能看出,传入的是找不到的时候返回的值.get(int key)当找不到的时候,默认返回null。
查看第几个位置的键:
public int keyAt(int index)
有一点需要注意的是,查看键所在位置,由于是采用二分法查找键的位置,所以找不到时返回小于0的数值,而不是返回-1。返回的负值是表示它在找不到时所在的位置。
查看第几个位置的值:
public E valueAt(int index)
查看值所在位置,没有的话返回-1:
public int indexOfValue(E value)
最后,发现其核心就是折半查找函数(binarySearch),算法设计的很不错。
- private static int binarySearch(int[] a, int start, int len, int key) {
- int high = start + len, low = start - 1, guess;
-
- while (high - low > 1) {
- guess = (high + low) / 2;
-
- if (a[guess] < key)
- low = guess;
- else
- high = guess;
- }
-
- if (high == start + len)
- return ~(start + len);
- else if (a[high] == key)
- return high;
- else
- return ~high;
- }
-
- 相应的也有SparseBooleanArray,用来取代HashMap<Integer, Boolean>,SparseIntArray用来取代HashMap<Integer, Integer>,大家有兴趣的可以研究。
- SparseArray是android里为<Interger,Object>这样的Hashmap而专门写的类,目的是提高效率,其核心是折半查找函数(binarySearch)。在Android中,当我们需要定义
- HashMap<Integer, E> hashMap = new HashMap<Integer, E>();
- 时,我们可以使用如下的方式来取得更好的性能.
- SparseArray<E> sparseArray = new SparseArray<E>();
最后,看看重构后的ActivityGroupManager:
- public class ActivityGroupManager {
- static final String TAG = ActivityGroupManager.class.getName();
-
- private SparseArray<View> array;
- private ViewGroup container;
-
- public ActivityGroupManager() {
- array = new SparseArray<View>();
- }
-
- public void setContainer(ViewGroup container) {
- this.container = container;
- }
-
- public void showContainer(int num, View view) {
- if (array.get(num) == null) {
- array.put(num, view);
- container.addView(view);
- }
- for (int i = 0; i < array.size(); i++) {
- View v = array.valueAt(i);
- v.setVisibility(View.GONE);
- }
- view.setVisibility(View.VISIBLE);
- }
- }
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