我做了这个发现并用我的应用程序测试了它。 我正在调用并调用相同的方法。
我尝试了不同的连续执行以及不同的方法(加密,排序等等)并获得了以下结果。
Executions|Invoke-Call ratio
1 | 62,78%
10 | 107,58%
100 | 76,74%
1000 | 80,01%
10000 | 116,88%
100000 | 82,80%
1000000 | 91,67%
我检查过它是否可能是多线程的使用,但它不是我能说的。 可能是什么解释?
进一步澄清我的基准的摘录: 调用部分:
Executable executable = new Executable();
Method execute = executable.getClass().getMethod("execute");
System.out.println("# Startup finished.");
for (float i = 0; i <= 6; i++)
{
int executions = (int) Math.pow(10, i);
long start = System.nanoTime();
for (int j = 0; j <= executions - 1; j++)
{
execute.invoke(executable);
}
long stop = System.nanoTime();
long delta = stop - start;
System.out.println("Invoke;" + executions + ";" + delta);
}
System.out.println("# Shutdown finished.");
通话部分:
Executable executable = new Executable();
System.out.println("# Startup finished.");
for (float i = 0; i <= 6; i++)
{
int executions = (int) Math.pow(10, i);
long start = System.nanoTime();
for (int j = 0; j <= executions - 1; j++)
{
executable.execute();
}
long stop = System.nanoTime();
long delta = stop - start;
System.out.println("Invoke;" + executions + ";" + delta);
}
System.out.println("# Shutdown finished.");
对于这个Executable类的例子,我特别注意从execute方法中排除所有准备工作。
public class Executable
{
private int index = 0;
private int testsize = 1111111;
private byte[][] plain = new byte[testsize][];
private byte[][] hashed = new byte[testsize][];
private SecureRandom securerandom;
private MessageDigest messagedigest;
public Executable()
{
this.securerandom = new SecureRandom();
this.messagedigest = MessageDigest.getInstance("SHA-256");
for (int i = 0; i <= testsize - 1; i++)
{
this.plain[i] = new byte[8];
this.securerandom.nextBytes(this.plain[i]);
}
}
public void execute()
{
messagedigest.update(this.plain[index]);
this.hashed[index] = messagedigest.digest();
index++;
}
}
答案 0 :(得分:3)
为了感兴趣的人,代码按预期工作,并且调用比调用快。
# Startup finished.
Invoke 1 1683969
Invoke 10 1876447
Invoke 100 23376245
Invoke 1000 29035955
Invoke 10000 55816067
Invoke 100000 209290359
# Shutdown finished.
# Startup finished.
Call 1 64587
Call 10 18820
Call 100 209160
Call 1000 1656594
Call 10000 17318746
Call 100000 167565824
# Shutdown finished.