我有一个非常简单的Parallel.ForEach,它调用下面的代码:
var maxDegree = new ParallelOptions{MaxDegreeOfParallelism = 5};
Parallel.ForEach(PList,maxDegree,fl =>
{
ProjectDirectoryProcessing pjp = new ProjectDirectoryProcessing();
pjp.ProjectProcessor(fl);
Console.ReadLine();
}
);
public class ProjectDirectoryProcessing
{
public void ProjectProcessor(string rootDirectory)
{
DirectoryInfo Dinfo = new DirectoryInfo(rootDirectory);
DirectoryInfo[] directories = Dinfo.GetDirectories("*.*", SearchOption.AllDirectories);
FileInfo[] finfo = Dinfo.GetFiles("*.*", SearchOption.AllDirectories);
foreach (FileInfo f in finfo)
{
FileSize = FileSize + f.Length;
}
FileCount = finfo.Length;
DirectoryCount = directories.Length;
}
}
问题是我的内存不足,我想到了Parallel.ForEach中的pjp.ProjectProcessor之后的GC.Collect(),但我不确定这是否会起作用。目录是非常大的,我不肯定清理那些将有助于这么多。处理这个问题的好方法是什么?
答案 0 :(得分:0)
手动调用GC无济于事,因为在抛出OutOfMemoryException之前应自动调用GC。 一个简单的解决方案是将应用程序编译为x64。这是一个选择吗?