方法数据——方法本身的详细的内存数据。
平台实例共享内存数据库共享内存代理私有内存。
Platform Instance Shared Memory Database Shared Memory Agent Private Memory.
经验表明，内存数据库可以提供出色的性能和很低的延迟。
Experience shows that memory databases provide superior performance and low latency.
你所需要的就是最基本的初始启动，自检屏幕内存数据。
All you need is the most basic initial start, self-screen memory data.
恶意软件正在实时扫描内存并寻找数据。
Malware is scanning through the memory in real time and looking for data.
这些数据存储在计算机的内存中。
还可以把文件映射到内存，这是加快数据访问的理想解决方案。
You can map files into memory, as well-an ideal solution for accelerating data access.
应用程序可以分配足够的内存来将所有数据装载到集合中。
Your application can allocate enough memory to load all the data into the collection.
可以考虑将数据放入内存的另一个地方是其他机器。
Another place to consider putting data in memory is on another machine.
所有数据必须高效地保存在内存中并加以管理。
All that data has to be kept in memory and managed efficiently.
处理速度将大大提升，因为数据是以内存速度交付的。
This process is accelerated because the data is delivered at memory speed.
不幸的是，许多程序依赖于数据在内存中的组织方式。
Unfortunately, many programs rely on the way data is organized in memory.
它描述了清单1所示的内存泄漏示例中创建的数据结构。
This describes the data structure created in the memory leak example shown in Listing 1.
某些硬件支持完全绕开内存，将数据直接传送给其他设备的特性。
Some hardware can bypass the main memory altogether and transmit data directly to another device.
结果导致额外的数据重写邻近的内存位置。
The result is that the extra data overwrites adjacent memory locations.
分配内存并从进程复制数据。
现已将两个数据图载入内存。
至少，在内存维护两次数据会使效率下降。
At the very least, maintaining the data in memory twice is inefficient.
计算机内存装不下所有数据！
最后，我们来聊聊刚才图中位置最下方的几个内存段：BSS段、数据段和程序段。
Finally, we get to the lowest segments of memory: BSS, data, and program text.
应用程序组内存集是从数据库共享内存集中分配的。
The application group memory set is allocated from the database Shared memory set.
内存位置效应是否对于某些数据结构更有利？
Could there be memory locality effects that some data structures benefit from more than others?
问题：数据库共享内存是1.66GB。这个数小于3.35 GB的数据库共享内存限制。
Problem: the database Shared memory is 1.66gb; it is less then the 3.35gb database Shared memory limit.
但是由于实例内存与数据库内存相比通常比较小，因此这样可以获得好处。
But since instance memory is generally small compared to database memory, this gain is beneficial.
因此，数据段的内存区域并不是匿名的 。
确定您是否有足够的内存来处理数据。
个别数据结构的内存需求。
将信息导出到内部内存、外部内存和本地数据库。
Export information to internal memory, external memory, and the local database.
使数据库共享内存和堆栈不发生冲突，这一点很重要。
It is important that the database Shared memory and stack do not collide.
如何显示虚拟内存统计数据？
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