For this reason, pages can be moved out of memory and onto the disk.
由于这个原因，页面可以移出内存并放入磁盘中。
If your JVM is swapped out of memory, GAE must spend additional time to start your entire application the next time a request comes in.
如果您的JVM被换出内存，那么在下一次请求到来时，GAE必须花费更多的时间来启动整个应用程序。
If a row is larger than a page (that is larger than 2 KB), then the page containing that row might be kicked out of memory.
如果某个行的大小大于页大小(即大于2KB)，那么包含该行的页面可能被置换出内存。
In some cases, saving space can also make your program run faster, and in the extreme, your program might not run at all if you run out of memory.
有的情况下，节省空间也能让你的程序运行更快，此外在一些极端情况下，比如内存耗尽了，你的程序就根本无法运行了。
Most of the time when an Out Of Memory exception occurrs it is caused by a design problem, where either too much memory is stored in cache or session scope.
发生内存溢出在大多数情况下是因设计问题引起的，太多的内存存储在缓存或Session中。
Signs of low memory include poor performance, low memory or out of memory notifications, and display problems.
内存不足的征兆包括性能差、内存不足的通知以及显示问题。
These memory Settings have a direct impact on what the JVM does when it runs out of memory.
这些内存设置对JVM在用尽内存时所执行的操作有直接影响。
In this example the applications memory usage increased rapidly, to a point where the application simply ran out of memory.
这个例子中，程序内存占用快速上升，直到产生程序内存溢出。
Even when it didn't actually run out of memory, the GC overhead was just too high when memory consumption was high.
就算没有内存溢出，当内存消耗很高时GC的开销也会很大。
Limit: Any request by DB2 to create a database share memory set which is larger then the shmmax value (2gb in this case) will fail with an out of memory type error.
限制：DB2发出的任何创建大于shmmax值(这里是2gb)的数据库共享内存集的请求都将失败，并返回一个out of memorytype错误。
Since the amount of memory in a machine is finite, if this error occurs in some kind of loop eventually the system will run out of memory.
机器中的内存数量是有限的，如果这个错误出现在某些循环中，那么系统最终会把内存耗尽。
This type of memory leak will cause your programs to be bloated, get slower over time, and eventually run out of memory.
这种类型的内存泄漏将会导致您的程序越来越大，运行越来越慢，最终耗尽内存。
The operating system handles important details like paging different parts of the file into and out of memory as needed.
操作系统会处理一些重要的细节问题，如把文件的不同部分分页到内存上，并在需要的时候从内存里提取出来。
But they have problems of their own. When arbitrarily sized data is accepted, you may run out of memory — and that may not happen just during input.
但它们也具有自身的问题：在接受任意大小的数据时，可能会遇到内存不足的情况——而这在输入时也许不会发生。
One of the perhaps easiest ones to put your finger on is what if the computer is out of memory?
一个可能的情况是，计算机的内存不足？
Make sure that the JVM maximum heap size setting is high enough to support the increased number of servlet engine threads and avoids Out of Memory conditions.
请确保JVM最大堆大小的设置足够的大以支持增大的servlet引擎线程个数并避免内存不足的条件。
The fixed heap must be at least as big as the maximum memory usage of the application to avoid out-of-memory errors.
固定大小的堆不得小于应用程序的最大内存使用量，以避免出现内存不足的错误。
All programs inevitably generate errors — files not found, running out of memory, etc.
所有程序都不可避免地会生成错误——找不到文件、内存不足等等。
The log ends when the JVM runs out of memory.
当JVM内存不足时，日志结束。
Split up batch update calls to keep the generated XML small enough to not run into out of memory exceptions.
分割批量更新调用，以保持生成的XML足够小，不会出现内存溢出异常。
Figure 13: EurekaJ Heap chart showing one possible scenario for Out Of Memory error.
图13：eurekaj堆图显示内存溢出错误的一种可能情形。
Batch processing usually doesn't need data caching, otherwise you may run out of memory and dramatically increase your GC overhead.
批处理通常不需要数据缓存，否则你会将内存耗尽并大量增加GC开销。
Running out of memory can be a problem when using very large documents (generally in the 5 + MB range) with document models.
当利用文档模型使用非常大的文档(通常有5 +MB大小)时，运行时内存的不足会成为一个问题。
However, such an implementation is hardly ever acceptable: it will cause a program to run out of memory quickly since it never reclaims unused space.
尽管如此，这样的实现是无法接受的：因为它从来不回收不使用的空间，它导致程序很快会用光内存。
You've also seen how you can permanently add swap to your configuration and how to add swap in an emergency when you run out of memory.
您还看到了如何向您的配置永久地添加交换空间，以及如何在内存不足时紧急添加交换空间。
If you do not close your Cursors, then you might quickly run out of memory and cause your application to crash.
如果您没有关闭Cursors，那么可能会迅速地耗尽内存并导致您的应用程序崩溃。
If both the target utilization and allocation rate are high, the application can run out of memory, forcing the GC to run continuously and dropping the utilization to 0% in most cases.
如果目标利用率和分配率都很高，则应用程序可能耗尽内存，强迫GC连续地运行并且在多数情况下使利用率降低到0%。
Out of memory. Shut down other applications before retrying.
内存不足。请关闭其他应用程序后重试。
Out of memory. Close some windows, and try again.
内存不够，请关闭部分窗口，然后再试。
Out of memory. Close some windows, and try again.
内存不够，请关闭部分窗口，然后再试。
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