List的Capacity
Capacity
在.NET中List的容量应该只是受到硬件限制。
属性Capacity的真正含义,是创建List时给它预分配的容量。
一旦项的数量超过了当前的Capacity,Capacity会以
Capacity = (Capacity==0)?A_VALUE_YOU_CANNOT_SURE:(Capacity*2)
的方式增长。
当使用默认构造函数创建一个List时,Capacity就是0。(或者你非要用一个0作为capacity参数调用构造)
所以当Capacity是0时,我们为List添加了第一个项目后,Capacity是多少呢?
对,是A_VALUE_YOU_CANNOT_SURE。
不过,在.NET2.0和.NET4.5中,这个值看上去都是4。
System.Diagnostics.Debug.WriteLine(string.Format("default capacity is : {0}", new List<string>().Capacity));
int initCapacity = ;
List<string> l = new List<string>(initCapacity);
System.Diagnostics.Debug.WriteLine(string.Format("constructe a list with capacity: {0}", l.Capacity));
for (int u = ; u < ; ++u)
{
System.Diagnostics.Debug.WriteLine(string.Format("Count: {0}, Capacity: {1}", l.Count, l.Capacity));
//l.TrimExcess();
//System.Diagnostics.Debug.WriteLine(string.Format(" TrimExcess() -> Count: {0}, Capacity: {1}", l.Count, l.Capacity));
l.Add("");
}
输出
default capacity is :
constructe a list with capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
Count: , Capacity:
TrimExcess()
TrimExcess()的意思就是,如果Capacity大于Count,清掉哪些没有使用的空间。基本上可以理解成让Capacity等于Count,只是基本上,不能信赖这一点。.NET毕竟还要考虑很多性能问题。TrimExcess method does nothing if the list is at more than 90 percent of capacity——这就是.NET的方式。实际上把上面那段代码中的注释放开,就会看到确实存在Capacity和Count不等的情况(然而,并不是90%哟)。Capacity不够以后的增长规则,仍然是*2,并不会因为被Trim过就只是加1。
放开注释后的输出
default capacity is :
constructe a list with capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
发现并不是90%以后
System.Diagnostics.Debug.WriteLine(string.Format("default capacity is : {0}", new List<string>().Capacity));
int initCapacity = ;
List<string> l = new List<string>(initCapacity);
System.Diagnostics.Debug.WriteLine(string.Format("constructe a list with capacity: {0}", l.Capacity));
int initCount = ;
for (int u = ; u < initCount; ++u)
{
l.Add(u.ToString());
}
for (int u = ; u < initCount; ++u)
{
System.Diagnostics.Debug.WriteLine(string.Format("Count: {0}, Capacity: {1}", l.Count, l.Capacity));
l.TrimExcess();
System.Diagnostics.Debug.WriteLine(string.Format(" TrimExcess() -> Count: {0}, Capacity: {1}", l.Count, l.Capacity));
l.Remove(u.ToString());
}
得到
default capacity is :
constructe a list with capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
Count: , Capacity:
TrimExcess() -> Count: , Capacity:
貌似条件是酱紫的
if( count<(int)Math.Floor((double)capacity*0.9) )
do trim
我也不知道我要干嘛
List的Capacity的更多相关文章
- 大数据之Yarn——Capacity调度器概念以及配置
试想一下,你现在所在的公司有一个hadoop的集群.但是A项目组经常做一些定时的BI报表,B项目组则经常使用一些软件做一些临时需求.那么他们肯定会遇到同时提交任务的场景,这个时候到底如何分配资源满足这 ...
- Hadoop Capacity Scheduler源码实现剖析
作者: 大圆那些事 | 文章可以转载,请以超链接形式标明文章原始出处和作者信息 网址: http://www.cnblogs.com/panfeng412/archive/2013/09/13/had ...
- Sizing and Capacity Planning for SharePoint 2013 - Resources
http://blogs.msdn.com/b/sanjaynarang/archive/2013/04/06/sizing-and-capacity-planning-for-sharepoint- ...
- 用了skin皮肤控件之后,报错:容量超出了最大容量 参数名:capacity
http://blog.csdn.net/keenweiwei/article/details/7403869 用了皮肤控件之后,报错:容量超出了最大容量 参数名:capacity MessageBo ...
- Capacity Scheduler 队列设置
先附一个官网地址 Capacity Scheduler是YARN中默认的资源调度器. 相关参数配置: 资源分配相关参数 ``` (1) capacity:队列的资源容量(百分比). 当系统非常繁忙时, ...
- STL:string 大小(Size)和容量(Capacity)
strings存在三种“大小”: 1.size()和length() 返回string中现在的字符个数.上述两个函数等效. 成员函数empty()用来检验字符数是否为0,亦即字符串是否为空.你应该优先 ...
- hdu 1839 Delay Constrained Maximum Capacity Path 二分/最短路
Delay Constrained Maximum Capacity Path Time Limit: 20 Sec Memory Limit: 256 MB 题目连接 http://acm.hdu. ...
- Web Capacity Analysis Tool 压力测试工具使用笔记
一.背景介绍 Web Capacity Analysis Tool是微软轻量级Web压力测试工具, 早先是IIS 6.0Resource Tool kit 工具包中的一个组件,现在独立出来有一个社区版 ...
- max_size, capacity and size 的区别
The max_size() function returns the maximum number of elements that the container can hold. The max_ ...
随机推荐
- php正则替换:
1.要求: 对于: $str = '<p></p><p style="text-indent:241px"><strong>< ...
- Android Studio2.2.2下RecyclerView的使用
1,概述 RecyclerView可以完全代替ListView.GridView,整体上看RecyclerView架构,提供了一种插拔式的体验,高度的解耦,异常的灵活,通过设置它提供的不同Layout ...
- OpenCV阶段总结扩充。
Mat类型简单介绍 /* cv::Mat类是用于保存图像以及其他矩阵的数据结构.默认情况下,其尺寸为0,我们也可以设置其初始尺寸,比如定义一个Mat类的对象,就要写cv::Mat pic(320,64 ...
- nopi excel 导入
#region 从Excel导入 /// <summary> /// 读取excel ,默认第一行为标头 /// </summary> /// <param name=& ...
- 挂载NFS
ARM目标板:192.168.31.66 ubuntu IP:192.168.31.218 一.先安装nfs服务器客户端: $sudo apt-get install nfs-kernel-serve ...
- MSSQL—字符串分离(Split函数)
前面提到了记录合并,有了合并需求肯定也会有分离需求,说到字符串分离,大家肯定会想到SPLIT函数,这个在.NET,Java和JS中都有函数,很可惜在SQL SERVER中没有,我们只能自己来写这么一个 ...
- 3-Spark高级数据分析-第三章 音乐推荐和Audioscrobbler数据集
偏好是无法度量的. 相比其他的机器学习算法,推荐引擎的输出更直观,更容易理解. 接下来三章主要讲述Spark中主要的机器学习算法.其中一章围绕推荐引擎展开,主要介绍音乐推荐.在随后的章节中我们先介绍S ...
- jsp和servlet中文乱码
jsp和servlet之间出现中文乱码的集中原因和解决方法详解:http://blog.csdn.net/longyuhome/article/details/7856270
- 转:Task任务调度实现生产者消费者模式 (个人理解后文)
纯属个人愚见.欢迎加入反驳(PiDou). 1.前文大致就是,利用Queue配置的一个TaskFactory任务调度器.实现生产者消费者模式的例子..首先我就试了 第一种 FIFO(先进先出)的配置. ...
- 第六篇T语言实例开发,多点找色应用
---恢复内容开始--- 多点找色应用 文字,图形特征的获取 多点找色 功能原型 窗口多点找色(窗口句柄,x1,y1,x2,y2,颜色值,色点组,相似度,方向,返回x,返回y) 功能说明 根据指定的多 ...