作者：淀死鈊 | 来源：互联网 | 2022-04-28 04:26
前言
昨晚想在Android应用中增加一个int映射到String的字典表，使用HashMap实现的时候，Eclipse给出了一个警告，昨晚项目上线紧张，我直接给忽略了，今天看了一下具体的Eclipse提示如下：
Use new SparseArray (...) instead for better performance
这个警告的意思是使用SparseArray来替代，以获取更好的性能。
源码
因为SparseArray整体代码比较简单，先把源码展示出来，然后再分析为什么使用SparseArray会比使用HashMap有更好的性能。
public class SparseArray 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. If you supply an initial capacity of 0, the
* sparse array will be initialized with a light-weight representation
* not requiring any additional array allocations.
*/
public SparseArray(int initialCapacity) {
if (initialCapacity == 0) {
mKeys = ContainerHelpers.EMPTY_INTS;
mValues = ContainerHelpers.EMPTY_OBJECTS;
} else {
initialCapacity = ArrayUtils.idealIntArraySize(initialCapacity);
mKeys = new int[initialCapacity];
mValues = new Object[initialCapacity];
}
mSize = 0;
}
@Override
@SuppressWarnings("unchecked")
public SparseArray clone() {
SparseArray clOne= null;
try {
clOne= (SparseArray) 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 null
* 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 = ContainerHelpers.binarySearch(mKeys, 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 = ContainerHelpers.binarySearch(mKeys, 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;
}
}
/**
* Remove a range of mappings as a batch.
*
* @param index Index to begin at
* @param size Number of mappings to remove
*/
public void removeAtRange(int index, int size) {
final int end = Math.min(mSize, index + size);
for (int i = index; i = 0) {
mValues[i] = value;
} else {
i = ~i;
if (i = mKeys.length) {
gc();
// Search again because indices may have changed.
i = ~ContainerHelpers.binarySearch(mKeys, 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;
mSize++;
}
}
/**
* Returns the number of key-value mappings that this SparseArray
* currently stores.
*/
public int size() {
if (mGarbage) {
gc();
}
return mSize;
}
/**
* Given an index in the range 0...size()-1, returns
* the key from the indexth key-value mapping that this
* SparseArray stores.
*
* The keys corresponding to indices in ascending order are guaranteed to
* be in ascending order, e.g., keyAt(0) will return the
* smallest key and keyAt(size()-1) will return the largest
* key.
*/
public int keyAt(int index) {
if (mGarbage) {
gc();
}
return mKeys[index];
}
/**
* Given an index in the range 0...size()-1, returns
* the value from the indexth key-value mapping that this
* SparseArray stores.
*
* The values corresponding to indices in ascending order are guaranteed
* to be associated with keys in ascending order, e.g.,
* valueAt(0) will return the value associated with the
* smallest key and valueAt(size()-1) will return the value
* associated with the largest key.
*/
@SuppressWarnings("unchecked")
public E valueAt(int index) {
if (mGarbage) {
gc();
}
return (E) mValues[index];
}
/**
* Given an index in the range 0...size()-1, sets a new
* value for the indexth key-value mapping that this
* SparseArray stores.
*/
public void setValueAt(int index, E value) {
if (mGarbage) {
gc();
}
mValues[index] = value;
}
/**
* Returns the index for which {@link #keyAt} would return the
* specified key, or a negative number if the specified
* key is not mapped.
*/
public int indexOfKey(int key) {
if (mGarbage) {
gc();
}
return ContainerHelpers.binarySearch(mKeys, mSize, key);
}
/**
* Returns an index for which {@link #valueAt} would return the
* specified key, or a negative number if no keys map to the
* specified value.
* Beware that this is a linear search, unlike lookups by key,
* and that multiple keys can map to the same value and this will
* find only one of them.
*
Note also that unlike most collections' {@code indexOf} methods,
* this method compares values using {@code ==} rather than {@code equals}.
*/
public int indexOfValue(E value) {
if (mGarbage) {
gc();
}
for (int i = 0; i = mKeys.length) {
gc();
}
int pos = mSize;
if (pos >= mKeys.length) {
int n = ArrayUtils.idealIntArraySize(pos + 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;
}
mKeys[pos] = key;
mValues[pos] = value;
mSize = pos + 1;
}
/**
* {@inheritDoc}
*
* This implementation composes a string by iterating over its mappings. If
* this map contains itself as a value, the string "(this Map)"
* will appear in its place.
*/
@Override
public String toString() {
if (size() <= 0) {
return "{}";
}
StringBuilder buffer = new StringBuilder(mSize * 28);
buffer.append('{');
for (int i=0; i 0) {
buffer.append(", ");
}
int key = keyAt(i);
buffer.append(key);
buffer.append('=');
Object value = valueAt(i);
if (value != this) {
buffer.append(value);
} else {
buffer.append("(this Map)");
}
}
buffer.append('}');
return buffer.toString();
}
}
首先，看一下SparseArray的构造函数：
/**
* 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. If you supply an initial capacity of 0, the
* sparse array will be initialized with a light-weight representation
* not requiring any additional array allocations.
*/
public SparseArray(int initialCapacity) {
if (initialCapacity == 0) {
mKeys = ContainerHelpers.EMPTY_INTS;
mValues = ContainerHelpers.EMPTY_OBJECTS;
} else {
initialCapacity = ArrayUtils.idealIntArraySize(initialCapacity);
mKeys = new int[initialCapacity];
mValues = new Object[initialCapacity];
}
mSize = 0;
}
从构造方法可以看出，这里也是预先设置了容器的大小，默认大小为10。
再来看一下添加数据操作：
/**
* Adds a mapping from the specified key to the specified value,
* replacing the previous mapping from the specified key if there
* was one.
*/
public void put(int key, E value) {
int i = ContainerHelpers.binarySearch(mKeys, mSize, key);
if (i >= 0) {
mValues[i] = value;
} else {
i = ~i;
if (i = mKeys.length) {
gc();
// Search again because indices may have changed.
i = ~ContainerHelpers.binarySearch(mKeys, 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;
mSize++;
}
}
再看查数据的方法：
/**
* Gets the Object mapped from the specified key, or null
* 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 = ContainerHelpers.binarySearch(mKeys, mSize, key);
if (i <0 || mValues[i] == DELETED) {
return valueIfKeyNotFound;
} else {
return (E) mValues[i];
}
}
可以看到，在put数据和get数据的过程中，都统一调用了一个二分查找算法，其实这也就是SparseArray能够提升效率的核心。
static int binarySearch(int[] array, int size, int value) {
int lo = 0;
int hi = size - 1;
while (lo <= hi) {
final int mid = (lo + hi) >>> 1;
final int midVal = array[mid];
if (midVal value) {
hi = mid - 1;
} else {
return mid; // value found
}
}
return ~lo; // value not present
}
个人认为（lo + hi） >>> 1的方法有些怪异，直接用 lo + (hi - lo) / 2更好一些。
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