因此，对当前进程而言，在内核空间执行的代码具有对整个内存映射访问的权利。
So, code executing in kernel space has full access to the entire memory map for the current process.
Hypervisor可以访问整个内存空间，并且通过全局分区页表来维护分配给分区的内存。
The hypervisor has access to the entire memory space, and maintains the memory allocated to partitions through a global partition page table.
这意味着整个数据库都可以进入内存中。
这种序列化方式强行在写入一个字符之前在内存中建立整个对象的字符串表示，对于大型对象来说，这是个非常大的性能拖累。
This approach to serialization forces a string representation of the entire object to be created in memory before a single character can be written, which is a big performance drag for large objects.
读取数据流并将结果写入流是很方便的，因为应用程序不一定要将文件的大部分（更不必说整个文件）读取到内存。
Reading data streams and writing results to streams is convenient, because the application does not have to read a large portion of the file, much less the whole file, into memory.
小部件将一个AJAX请求发送到服务器来获得最新的内存信息并更新ui，并且无需刷新整个页面。
The widget sends an AJAX request to the server to get the latest memory information and update the UI without refreshing the whole page.
缓存可以轻松扩展到40GB，可在多台机器上分布，因此整个缓存可以位于内存中，只需要很少的访问时间。
The cache can easily scale to 40 GB, which can be spread across multiple machines, so the whole cache can be in memory, with minimal access time.
后一种选项通常更好一些，因为它给垃圾收集器带来的工作更少，并且允许在特别需要内存时以较少的工作回收整个缓存。
The latter option is usually preferable, as it makes less work for the collector and allows the entire cache to be reclaimed with less effort when memory is in high demand.
所有的分区都共同使用整个物理内存空间。
All partitions are aware of the entire physical memory space.
疲劳系统管理员的无意按键可能会导致文件系统中的文件被删除、整个应用程序被卸载或内存升级烧坏内部硬件。
Inadvertent keystrokes by fatigued system administrators have resulted in files being deleted from file systems, whole applications uninstalled, or memory upgrades frying hardware internals.
整个数据池在运行时加载入内存。
如果不小心，浏览器的内存需求将在整个浏览会话周期中不断增加。
If you're not careful, the browser's memory demands will grow over the duration of a browsing session.
但是要记住，如果一次将整个大型XML文档载入内存，则取得灵活性的代价相当高昂。
Remember however, that flexibility comes at a price if you load a large XML document into memory all at once.
从内存管理对整个系统的影响来看，稳定性是至关重要的。
Given the systemwide impact of memory management, stability is of utmost importance.
整个XML文档都在内存中表示。
它将把整个XML文档装载到内存中，并且从XML文档中检索元素全都在内存中进行。
It loads the entire XML document into memory, and retrieval of elements from the XML document all occurs in memory.
在一个命令(- 0777)中读取整个文件时要小心，因为大型文件将耗尽所有内存。
Be careful when reading a full file in one command (-0777), because a large file will use up all your memory.
虽然我们可以通过启用系统监视器来简单观察内存的使用量，但是它不会告诉我们比整个系统内存状态更有用的任何内容。
While we can simply watch the amount of memory used by a script by turning the system monitor on, it will not tell us anything more useful than the status of the entire system memory.
如果我花时间考虑并更换内存，整个情形都会得到改善。
If I'd taken the time to think things through and replace the memory, the whole situation would have improved.
打开文件、调用读取操作、将整个文件读入内存，都是可以的。
You'd open a file; you could call read, and it could read an entire file for you into memory if you like.
整个物理内存被划分为若干块，这些块称为物理内存块(PMB)。
The whole physical memory is divided into blocks called physical memory blocks (PMB).
它包括诸如 /proc/kcore 这样的文件，这个文件是整个运行内存的虚拟视图。
It includes files such as /proc/kcore, which is a virtual view of the entire running memory.
默认情况下，每个FileStream都使用8KB的缓冲区，因此该实现所使用的内存要远远少于前面读取并处理整个文件的代码。
By default, each FileStream USES a buffer of 8kb, so this implementation USES much less memory than the prior code that reads and processes the entire file.
您可以使用一个XMLpullparser更有效地处理大型数据集，而非一次性地将整个数据结构加载到内存中，就像使用JSON或序列化php那样。
You can process large sets of data more efficiently with an XML pull parser rather than load the entire data structure all at once in memory as you need to do with JSON or serialize PHP.
虽然XML：LibXML提供了SAX接口，但仍然是一种DOM解析器，因此要把整个文档都读入内存然后再提供面向事件的接口。
While XML: : LibXML has a SAX interface, it remains a DOM parser, so it reads an entire document into memory and then offers an event-oriented interface to it.
如果您处理的是一个大型的XML数据树，那么请务必注意SimpleXML在处理前是需要将整个XML文档加载到内存中的。
If you are processing a large XML data tree, keep in mind that SimpleXML loads the full XML document tree into memory before processing.
在每个节点上执行命令后，200 个节点的整个输出就传送（|d）到sort 命令，以对所有内存值进行排序。
Once you have performed the command on every node, the entire output of all 200 nodes is piped (|d) to the sort command so that all the memory values are sorted.
例如，当Axis2作为中介传递时，如果需要仅读取SOAP消息的Header,AXIOM将防止其读取整个SOAP消息，使其具有很高的内存效率。
For example, when Axis2 is mediating messages, and if it needs to read only the headers of the SOAP messages, AXIOM prevents it from reading the whole SOAP message, making it highly memory efficient.
可以在一个简单的Python脚本中实现整个程序，使用内存中的 “数据库”。
You can do the whole thing in one simple Python script with an in-memory "database."
然后调用readlines方法，把整个文件读入内存并把内容拆分成string列表。
You then call the readlines method, which reads the entire file into memory and splits the contents into a list of strings.
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