Increases server transaction throughput.
增加服务器事务吞吐量。
There are also graphs for rows returned, transaction throughput, and statement throughput.
这里还提供了返回的行、事务吞吐量和语句吞吐量的图片。
Mixed transaction throughput also scaled with concurrent users and flattened at about 2000 TPS.
混合事务吞吐量也随并发用户数量伸缩，直到大约2000 tps。
Given maximum transaction throughput, determine how many concurrent users can be served by the system.
已知最大事务吞吐量，确定系统可以为多少当前用户提供服务。
Given "acceptable" response time for a set of operations, determine maximum transaction throughput a system can achieve.
已知一组操作的“可接受”响应时间，确定系统可以达到的最大事务吞吐量。
In all cases, careful placement of the logs on the federated server will minimize F2PC impact and increase transaction throughput.
无论在什么情况下，合理放置联邦服务器的日志可以减少F2PC的影响，并增加事务吞吐量。
Transaction logging improves overall Domino server transaction throughput, which potentially allows the same server to support more users.
事务日志提高了Domino服务器事务的总吞吐量，这使同一个服务器能够支持更多的用户。
These allow you to quickly see where time is spent, as well as correlate transaction throughput and statement throughput over the time interval.
这些能让您快速看到时间花费在哪里，以及随着时间间隔，相关事务和语句的吞吐量。
For a given product (DJ or WFS), transaction throughput can be increased significantly by choosing log disks with write caching on the federated server.
对于一种给定的产品(dj或wfs)，通过在联邦服务器上选择带写缓存的日志磁盘，可以显著提高事务吞吐量。
For a given type of log disk (with or without write caching), Websphere Federation Server achieves a 16% - 26% higher transaction throughput than DataJoiner.
对于一种给定类型的日志磁盘(带或者不带写缓存)，WebsphereFederationServer的事务吞吐量比DataJoiner高16%- 26%。
If there is an issue with transaction throughput, this information is valuable in showing the network activity and how it relates to the transaction activity.
如果事务吞吐量出现问题，则此信息对于显示网络活动以及如何如事务活动相关联很有价值。
Experiment results show that this scheme provides significant improvement in the database performance and transaction throughput in concurrent environment.
实验表明，在并发环境下这种方案能较大的提高数据库性能和事务的吞吐量。
These provide a quick overview of how the transaction throughput relates to the statement and cursor activity as seen in the graphs for statement and row throughput.
通过这些内容，例如在语句和行吞吐量图中，可以快速查看事务吞吐量如何与语句和游标活动相关联。
To achieve a high transaction throughput rate, it may be necessary to consider the distribution of work between queues, queue managers, and application server instances.
要获得高的事务吞吐量率，可能需要考虑在队列、队列管理器和应用程序服务器实例之间分配工作。
Click on any alert to get more details about the alert condition and to go into relevant diagnostic dashboards that contain more details about sorting, transaction throughput, and much more.
单击任意警报了解关于该警报情况的更多细节，并进入相关诊断指示板，这些指示板包含关于排序、事务流量等的更多细节。
Also, be aware that using a 64-bit WebSphere Application Server instance has an overhead of 5% to 15% in terms of transaction throughput, compared with using 32-bit, depending on your workload.
此外注意，与使用32位相比，使用64位WebSphereApplicationServer实例在事务吞吐量方面的开销为5%至15%，具体取决于您的工作负载。
Charts are also displayed for an overall time distribution breakdown, as well as transaction and statement throughput.
还有图表用来显示总体时间分布的详细说明，以及事务和语句的吞吐量。
The profiles of the transaction, throughput/concurrency, and response time curves are shown in Figure 1.
图1显示了事务的运行情况、吞吐量/并发性、以及响应时间曲线。
Increasing the concurrency beyond this value will increase the transaction response time as threads compete for CPU time, and not actually yield any throughput improvement.
当并发数增加到超过该值时，由于线程争用CPU时间，所以事务响应时间将增加，因而实际上并未带来任何吞吐量方面的改进。
With the "Repeatable Read" data region fetch requests issued multiple times within the same transaction will always produce the same result yielding better application throughput.
在相同事务下对“可重复读取”区域内数据的多次请求的结果是相同的，但能够带来更好的应用吞吐量。
The agent collects information on the application response time, throughput, transaction time, database calls, background jobs, and other metrics.
代理会收集应用程序的响应时间、吞吐量、事务时间、数据库调用、后台任务以及其他指标的信息。
The throughput of an application server can be described as the rate at which a single transaction is processed, multiplied by the number of managed worker threads within the server.
应用程序服务器的吞吐量可以通过将单个事务处理的速率乘以服务器内的托管工作线程数量得到。
When transaction times are short, this can yield a significant throughput improvement.
如果事务时间短，则可以大大提高吞吐量。
In case the transaction log becomes a performance bottleneck, striped disks can be used to increase the write throughput, as described in [9].
如果事务日志成为一个性能瓶颈，可以使用带状磁盘来提高写入流量，如[9]所述。
Based on the typical duration of a single transaction mentioned before, a single-threaded CommonStore throughput is typically in the range of 3,600-6,000 mails per hour.
根据前面提到的单个事务的通常持续时间，单线程CommonStore的吞吐量通常为每小时3,600- 6,000封邮件。
Optimizing the archiving throughput in CommonStore should start by looking at a single archive transaction before attempting to parallelize them to increase the overall throughput.
当优化CommonStore中的归档吞吐量时，在将归档事务并行化以增加整体吞吐量之前，首先应该考虑单个归档事务。
Suppose you want to stick with using the Declarative transaction model to simplify the transaction processing but still increase throughput during a high-user-concurrency scenario.
假设您希望坚持使用DeclarativeTransaction模型来简化事务处理，但是仍然能在高用户并发性场景中增加吞吐量。
However, be aware that the more read operations and processing you add to the transaction scope, the more you will reduce throughput and user-load capabilities.
但是应该清楚，添加到事务作用域中的读取操作和处理越多，吞吐量和用户负载功能的下降就越大。
Two disks for the transaction log of the BPC database, either logically striped or preferably hardware-supported striped for lower latency and higher throughput.
两个磁盘用于BPC数据库的事务日志，可以采用逻辑带状设置，但最好采用硬件支持的带状设置，以实现更低的延迟和更高的流量。
Serializable concurrency control protocol is suitable for traditional applications. It aims at database consistency, higher system throughput and shorter transaction response time.
可串行化的并发控制对传统应用是合适的，它旨在确保数据库的一致性，提高系统的吞吐量及减小事务平均响应时间。
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