现在优化的代码比未优化的代码运行速度更快,您可以通过比较每次运行的时间间隔看到这一点。
The optimized code is now running faster than the non-optimized code, which you can see by comparing the interval times of each run.
为了找到优化的检查率,我们将缺陷密度与评审者检查代码的速度进行了比较。
To find the optimal inspection rate, we compared defect density with how fast the reviewer went through the code.
估算成本是优化器用来比较查询计划的成本单元。
The estimated costs are cost units that the optimizer uses to compare query plans.
采用这些方法,他们能够使比较缺乏的IT资金最优化,并且能够集中精力开发出能够提供最大商业利润的软件特性。
By doing so, they can optimize the value of scarce it dollars and concentrate efforts on developing software features that provide the greatest business benefit.
步骤2比较棘手:怎么能够知道J VM什么时候完成了对这个任务的优化?
Step 2 is tricky: how do you know when the JVM has finished optimizing the task?
图3显示了测试这两种优化目标时SQLMonitor比较的输出,其中包含时间方面的数字。
Figure 3 contains the output of the SQL Monitor comparison containing the timings from the testing of the two optimization goals.
我将介绍一些监视工具,您可以使用这些工具来优化您的系统,本文还对一些比较重要的AIXVersion 5.3内存管理增强功能进行概述。
I introduce some of the monitoring tools that you can use to put you in position to tune your systems and outline some of the more important AIX Version 5.3 memory management enhancements.
当评估查询执行计划时,优化器计算并比较每种连接方法的成本,然后选择要使用的最佳方法。
The optimizer calculates and compares the costs of each join method and selects the best one to use when evaluating query execution plans.
这种比较的结果可能会指向一些过时的统计信息—例如,优化器用来选择一个错误访问计划的统计信息。
The result of this comparison can potentially point to out-of-date statistics - for example, used by the optimizer to select an incorrect access plan.
优化器将比较每种方法的成本,确定使用最好的一种。
The optimizer will compare the cost of each method to determine the best one to use.
可以对修复过程进行优化,只比较在ATS或者RIS文件中看到的行:如果复制源包含这个行,则需要重新进行复制,否则要从目标中删除这一行。
Repair processes can be optimized to only compare rows found in ATS or RIS files: if the row still exists in the source, it is re-replicated; if it does not, then it is deleted on the target.
然后,优化器可以将输入变量的值与编目统计进行比较,并为谓词计算出一个更好的选择估计。
The optimizer can then compare the input variable values to catalog statistics and compute a better selectivity estimate for predicates.
该参数值较高可能会影响优化器在缓冲池使用中对比较保守的存取方案的选择。
Higher values for this parameter can influence the optimizer to choose access plans that are more conservative in buffer pool usage.
同样也可以具有比较不同版本间业务流程活动的能力,这样会更加容易验证和量化业务流程优化的作用。
The ability to compare the behavior of different versions of the business process is also available, making it easier to verify and quantify the effect of business process optimization.
本文着重讨论了数据库设计的两个比较大的问题,而没有深入研究查询优化和应用程序考虑事项的细节。
The discussion focused on a couple of big issues of database design without getting into the details of query optimization and application considerations.
为了便于比较,图3显示了通过将SELECTIVITY1子句添加到where子句的谓词中,强迫db2优化器忽略索引的访问计划。
For comparison, Figure 3 illustrates the access plan where I forced the DB2 optimizer to ignore the index by adding the clause SELECTIVITY 1 to the predicate in the where clause.
曾经在比较小的机器上非常常见,其中微小的优化通常都非常重要,编译器对此的处理也相当简单。
It used to be quite common on smaller computers, where even a tiny optimization was often significant, and compilers were fairly simplistic.
还要尝试为事件CPU_CLK_UNHALTED收集Oprofile数据,同时将计数设置为10000。对用优化的和未经优化的方法收集的数据加以比较,并且注意性能的改善。
Also try collecting OProfile data for the event CPU_CLK_UNHALTED with the count set to 10000; compare the data collected with and without optimization and note the performance improvement.
通过原始模型和优化模型的比较,证明多目标设计研究能较好地对相互冲突的多个设计目标进行优化。
Through comparison between primitive model and optimal model, it is proved that multi-objective design study can optimize the design objects which conflict each other.
因此要找到满足select语句中谓词的行,这个优化器必须将主表中的所有行上锁、读取它们的值并与谓词中提供的值进行比较。
So to find the row that satisfies the predicate in the select statement, the optimizer has to lock, read in, and compare all the rows in the main table with the value supplied in the predicate.
特别当比较不同的跨浏览器优化技术时特别有用。
This is especially useful when comparing various optimization techniques across browsers.
AmazonSimpleDB存储较小型的数据单元,使用比较低密度的磁盘,为数据访问速度而优化。
Amazon SimpleDB stores smaller bits of data and USES less dense drives that are optimized for data access speed.
作者比较喜欢使用fiddler,当然也有像FireBug这样其他的工具。这些软件在网站优化时会帮上很大忙。
My favorite tool for viewing the raw HTTP traffic is fiddler, but there are many other tools (e.g., FireBug) These tools are a great help when optimizing a site.
并进行了多达12种不同工况的比较优化试验,为一系、二系悬挂参数的选取提供了依据。
The tests for comparison and optimization under 12 different working conditions are carried out, which provides basis for selection of parameters of the primary and secondary suspensions.
并进行了多达12种不同工况的比较优化试验,为一系、二系悬挂参数的选取提供了依据。
The tests for comparison and optimization under 12 different working conditions are carried out, which provides basis for selection of parameters of the primary and secondary suspensions.
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