如果优化器首先连接两个表，那么连接结果可能十分庞大，并可能使用大量系统资源，如CPU和内存。
If the optimizer joins two tables first, the join results could be huge and may use a large amount of system resources such as CPU and memory.
直到内存组中的值耗尽后，两个优化器才会去访问数据库，上面的例子每5个标识值符访问一次数据库。
Neither optimizer will hit the database until it has exhausted its in-memory group values. The above example hits the database every 5 identifier values.
一个标记设置用来告诉内存管理器什么时候这种优化对一个给定的页有效。
A flag is set to tell the memory manager when this optimization is in effect for a given page.
为了优化性能，每个活动数据库服务器任务应该有10MB内存。
For optimal performance, there should be 10mb of memory per active database server job.
代码评测器帮助鉴别和优化代码，并且在理解对象使用和潜在内存泄露方面真的很有帮助。
A code profiler helps identify and optimize code hot spots, and really helps in understanding object usage and potential memory leaks.
可见性则更为微妙；它要对付内存缓存和编译器优化的各种反常行为。
Visibility is more subtle; it deals with the vagaries of memory caching and compiler optimizations.
应用服务器供应商在其内存空间实现池管理器，并根据需要动态改变池的大小，从而优化资源的使用。
The application service provider implements the pool manager in its memory space and can optimize resource usage by dynamically altering the pool size, based on demand.
从很低端的桌面系统到大型的、企业级的、多处理器的系统，新的内存管理代码已经在它们上面都已经进行了测试和优化。
The new memory management code has been tested and optimized on everything from very low end desktop systems to large, enterprise-class, multi-processor systems.
强烈建议数据提供者将结果缓存在内存中，以便优化性能，特别是通过异步服务器调用使用数据时。
It's highly recommended that the data provider cache the results in memory for optimal performance, particularly because the data is consumed through asynchronous server calls.
如果您在没有空闲cpu时或者在操作系统需要交换虚拟内存的地方试图优化服务器，则无法使其变得很快。
If you try to tune a server when there is no free CPU or where the operating system is swapping virtual memory, you won't get very far.
尽管磁盘优化很可能没有CPU或者内存优化那么激动人心，但它是优化服务器性能的关键部分。
While disk tuning is arguably less exciting than CPU or memory tuning, it is a crucial component in optimizing server performance.
不过，它的代码在优化之后使得DB2引擎在任何大小的服务器或虚拟会话上最多仅能支持2GB 的内存和 2个处理器核。
The code is however optimized such that it throttles the DB2 engine to a maximum of 2 GB of memory and 2 cores of processing power for the database on any sized server or virtualization session.
它包括分析和调优系统硬件及软件，以优化所有主要组件的性能，包括内存、CPU、磁盘驱动器和网络。
It includes analyzing and tuning your system hardware and software for optimal performance of all major components including memory, CPUs, disk drives, and the network. For example.
优化一些经常使用的CM服务器代码路径，以提高性能、可靠性以修复内存泄漏问题
Optimized some heavily used CM Server code paths to improve performance, reliability and to fix memory leaks
Lucene内存方法将基于RAM的存储与非常快的文档分析器组合在一起，方便了针对高度优化的实现进行自定义。
The Lucene in-memory approach combines RAM-based storage with a very fast document analyzer that trades ease of customization for a highly optimized implementation.
可以构造针对给定schema内存中表示优化的解析器验证(如前所述)。
You can construct parsers that are optimized to use an in-memory representation of a given Schema for validation (as mentioned earlier).
您可以使用IBMDB 2服务器的SelfTuningMemoryManager (STMM)来测量和分析DB 2数据库内存的消耗情况，同时动态地分配内存以优化负载性能。
You can use IBM DB2 server's Self Tuning memory Manager (STMM) to measure and analyze how DB2 database memory is consumed, and dynamically reallocate memory to optimize workload performance.
在前面的优化文章中，您可能还记得虚拟内存管理器(VMM)的参数minperm和maxperm。
In earlier tuning sections, you might remember the Virtual Memory Manager (VMM) parameters minperm and maxperm.
延迟加载：它的目的是优化数据服务器的内存利用率，当程序启动后优先加载那些需要加入到内存的对象，不需要加载的推后加载。
Lazy loading: The purpose of lazy loading is to optimize memory utilization of database servers by prioritizing components that need to be loaded into memory when a program is started.
相对于基于堆栈滤波器边界检测法，该方法对堆栈滤波器的优化训练速度大大提高，所需内存大为减少；
Contrast to the stack filter based edge detection. the proposed method gainis higher speed, uses less memory for optimal training of stack filter.
针对DSP片内资源特点设计了片内存储器数据分配方案，并根据该方案优化了MPEG 4视频压缩的数据流模式。
The data flow scheme of the MPEG-4 video compression is optimized by utilizing the DSP's on-chip memory.
相反，全局变量通常放在一些特定的内存位置，以优化编译器的散列算法，这样就使得优化变得不可行。
In contrast, global variables are often placed in memory locations that are designed to optimize the compiler's hashing algorithms, thus eliminating potential optimizations.
在早期知道类型，使得编译器可以在执行之前确定问题，准确地分配内存，并且执行其他优化。
Knowing the type early enables the compiler to identify problems before execution, allocate memory precisely, and perform other optimizations.
在早期知道类型，使得编译器可以在执行之前确定问题，准确地分配内存，并且执行其他优化。
Knowing the type early enables the compiler to identify problems before execution, allocate memory precisely, and perform other optimizations.
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