当ArrayList想要存储的元素多于实际容量时,它会增加容量。这是非常经济的操作,因为我们实际上将所有数据从先前的ArrayList复制到具有更大容量的新ArrayList。但是我想知道,当ArrayList需要更多空间时,可能会进行一些具有容量的操作 - 但之前很久。我想知道从我的输出中获取“慢速索引”需要这么长时间并增加容量是我唯一的想法。这是我的代码:
import java.lang.reflect.Field;
import java.util.ArrayList;
import java.util.List;
public class MainArr {
ArrayList<Integer> normalList = new ArrayList<Integer>();
public static void main(String[] args) throws Exception {
MainArr m = new MainArr();
m.addElements();
}
public void addElements() throws Exception {
long startTime = System.currentTimeMillis();
for (int j = 0; j < 20000000; j++) {
if (j % 500000 == 0) {
System.out.println("j:" + j + " capacity:" + getCapacity(this.normalList));
}
long addTime = System.currentTimeMillis();
this.normalList.add(j);
if (System.currentTimeMillis() - addTime > 50) {
System.out.println("slow index-" + j + " - time:" + (System.currentTimeMillis() - addTime));
}
}
System.out.println("End after:" + (System.currentTimeMillis() - startTime));
}
int getCapacity(List al) throws Exception {
Field field = ArrayList.class.getDeclaredField("elementData");
field.setAccessible(true);
return ((Object[]) field.get(al)).length;
}
}
输出:
j:0 capacity:0
j:500000 capacity:540217
j:1000000 capacity:1215487
j:1500000 capacity:1823230
j:2000000 capacity:2734845
j:2500000 capacity:2734845
j:3000000 capacity:4102267
j:3500000 capacity:4102267
j:4000000 capacity:4102267
slow index-4102267 - time:1203 //We need more space in ArrayList.That's why it takes some time.
j:4500000 capacity:6153400
j:5000000 capacity:6153400
j:5500000 capacity:6153400
j:6000000 capacity:6153400
j:6500000 capacity:9230100
slow index-6758010 - time:1477 //We dont need to increase capacity. But we stop for a moment...
j:7000000 capacity:9230100 //... and we have the same capacity
j:7500000 capacity:9230100
j:8000000 capacity:9230100
j:8500000 capacity:9230100
j:9000000 capacity:9230100
j:9500000 capacity:13845150 // Somehow capacity is increased insanely fast
j:10000000 capacity:13845150
j:10500000 capacity:13845150
j:11000000 capacity:13845150
j:11500000 capacity:13845150
j:12000000 capacity:13845150
slow index-12426474 - time:3168 //We dont need to increase capacity. But we stop for a moment...
j:12500000 capacity:13845150 //... and we have the same capacity
j:13000000 capacity:13845150
j:13500000 capacity:13845150
j:14000000 capacity:20767725 // Somehow capacity is increased insanely fast
j:14500000 capacity:20767725
slow index-14639924 - time:144
j:15000000 capacity:20767725
j:15500000 capacity:20767725
j:16000000 capacity:20767725
j:16500000 capacity:20767725
j:17000000 capacity:20767725
j:17500000 capacity:20767725
j:18000000 capacity:20767725
j:18500000 capacity:20767725
j:19000000 capacity:20767725
j:19500000 capacity:20767725
slow index-19980735 - time:218
End after:6990
答案 0 :(得分:3)
ArrayList
代码已经过优化,可以在10时启动容量,并在需要更多空间时每次增长1.5倍。
您可以使用修改后的程序版本检测精确的增长点:
public void addElements() throws Exception {
int lastCap = -1;
for (int j = 0; j < 1000000; j++) {
this.normalList.add(j);
int cap = getCapacity(this.normalList);
if (cap != lastCap) {
System.out.println("size:" + normalList.size() + " capacity:" + cap);
lastCap = cap;
}
}
}
int getCapacity(List al) throws Exception {
Field field = ArrayList.class.getDeclaredField("elementData");
field.setAccessible(true);
return ((Object[]) field.get(al)).length;
}
这prints以下数字:
size:1 capacity:10
size:11 capacity:15
size:16 capacity:22
size:23 capacity:33
size:34 capacity:49
size:50 capacity:73
size:74 capacity:109
... // And so on
source code responsible for growing the list位于ensureCapacity
方法中,如下所示:
int newCapacity = (oldCapacity * 3)/2 + 1;
这相当于整数乘以1.5。
答案 1 :(得分:1)
每次调用add
函数时,它都会调用ensureCapacity
函数size+1
作为minCapacity
参数(列表的大小,而不是后面的数组)清单)。
您可以在下面看到ensureCapacity
的代码:
public void ensureCapacity(int minCapacity) {
modCount++;
int oldCapacity = elementData.length;
if (minCapacity > oldCapacity) {
Object oldData[] = elementData;
int newCapacity = (oldCapacity * 3)/2 + 1;
if (newCapacity < minCapacity)
newCapacity = minCapacity;
// minCapacity is usually close to size, so this is a win:
elementData = Arrays.copyOf(elementData, newCapacity);
}
}
请注意,仅当minCapacity
参数大于数组的当前大小时,它才会创建新数组。
在JDK 1.7中,新的计算方法 调整大小是:
int newCapacity = oldCapacity + (oldCapacity >> 1)
右移操作员确保将容量增加50%的旧容量,即1.5倍
答案 2 :(得分:1)
为了提高性能,请尝试在ArrayList
实例化上定义大容量。例如:
List<Users> users = new ArrayList<>(100000);
users.add(new User("John", "Doe"));
只有在您事先知道所需容量的情况下,这才会有所帮助。如果您不知道将有多少实例,请考虑使用其他数据结构。
例如,查看Queue
接口的实现,特别是LinkedList
。此数据结构具有添加新元素的恒定时间,但当它们位于列表中间时,不利于通过索引获取元素。请注意,LinkedList
还实现了List
接口以及ArrayList
,因此以下语法有效:
List<Users> users = new LinkedList<>();
users.add(new User("John", "Doe"));