Calculating the log space used per transaction.
计算每个事务所使用的日志空间。
The volume of data that will typically flow per transaction.
每个事务通常涉及的数据量。
In Figure 8, the X-axis represents the number of objects per transaction.
在图8中，x轴表示每个事务的对象数。
In Figure 7, the X-axis represents the number of objects per transaction.
在图7中，x轴表示每个事务的对象数。
The evaluation of the sorts per transaction is not necessary in this example.
本示例中不需要对每个事务的排序进行评估。
This is much higher than bank transfers of 20 cents per transaction price.
这远远高于银行转账每笔交易20美分的价格。
Higher transaction volume partially offset the decline in net revenue per transaction.
酒店交易量的提升部分抵消了每交易净收入的下滑。
First, the request and reply each may not exceed 1,920 bytes of information per transaction.
首先，在每个事务中，请求和应答均不能包含超过1,920字节的信息。
The default value is 3000ms, corresponding to an average response time of 30ms per transaction.
默认值为 3000ms，对应于每个事务的平均响应时间30 ms。
Overall average response time per transaction shows the average times for completed transactions.
每个事务的总平均响应时间显示了完成事务的平均时间。
The maximum number of events processed per transaction is based on the event processing batch size.
每个事务处理的最大事件数基于eventprocessingbatchsize。
The DWLControl object must contain one user name, and optionally zero or more group names per transaction.
对于每个事务，DWLControl对象必须包含一个用户名，另外还可以包含0个或多个组名。
Larger message sizes permit more information per transaction, reducing overhead and improving response time.
更大的消息允许每个事务中包含更多的信息，能减少开销和提高响应时间。
Average data server time per transaction - the average time spent on the data server for completed transactions.
每个事务的平均数据服务器时间：已完成事务花费在数据服务器上的平均时间。
The cost per transaction for EDI has come way down and many customers want to keep EDI in place because it works.
EDI中每个事务的成本已经下降，许多客户仍然希望保留EDI，因为它仍然能够工作。
Databases are not good at executing lots of concurrent transactions with a small number of records per transaction.
数据库并不擅于执行大量处理少量记录的并发事务。
Rule of thumb: If SortsPerTransaction is greater than 5, it might indicate there are too many sorts per transaction.
经验：如果SortsPerTransaction 大于5，它可能表明每个事务的排序太多。
Mainframe middleware, such as CICS and IMS, supports message sizes up to 32kb per transaction in the message interface.
大型机中间件(如cics和IMS)支持在消息接口中每个事务包含多达32kb的消息。
For example, the network bandwidth, CPU utilization, and disk usage per transaction or application can determine PaaS cost.
例如，每个事务或每个应用程序的网络带宽、CPU利用率和磁盘利用率可确定PaaS 的成本。
Average client time indicates the average amount of time spent on the client (excludes any time waiting on network or server) per transaction.
平均客户端时间表示每个事务花费在客户端的时间(不包括任何网络和服务器等待时间)。
As there is a base overhead per transaction, a smaller average message (10 KB, for instance) will not reduce the transaction duration significantly.
由于每个事务都有一个基本的开销，如果报文的平均大小较小(例如10KB)，那么事务持续时间不会显著减少。
On the other hand, a larger number of changed objects per transaction means you lock changes for a longer time and your database also needs a bigger redo log.
另一方面，每次事务修改的对象数量越多就意味着锁定变更时间越长，同时数据库需要更大的redo log。
A smaller number of changed objects per transaction mean more commits to your database, each of which incurs some disk-related overhead as mentioned in Section 4.5.
每次事务修改的对象数量越少就意味着会有更多数据库提交，正如4.5节所述每次提交都会带来磁盘相关的开销。
Taking banking over the internet by computer for example, it will cost the banking industry a few cents per transaction, but several dollars for traditional method.
比如，利用计算机在互联网上进行银行交易，对银行业来说每笔花费几分钱，而传统方法就会要花费数美元。
Commission percentages will be on a per transaction basis, which will be contained in a commission fee protection agreement stating the particular project or transaction.
佣金百分比将以每宗交易为依据，并详列于佣金保障协议之内。
Due to the large amount of data in the audit log table, a single INSERT statement will usually fail because the data per transaction exceeds the log file size of the database system.
因为审核日志表格里有大量的数据，单独的insert语句通常会失败，这是因为每个事务的数据超过了数据库系统里的日志文件的容量。
The response time is influenced by the volume of data that need to be moved from remote source to federated server per transaction: the higher the data volume, the slower the response time.
响应时间受到每个事务需要从远程源传输到联合服务器的数据量的影响：数据量越大，响应时间越长。
The response time is influenced by the volume of data that need to be moved from remote source to federated server per transaction: the higher the data volume, the slower the response time.
响应时间受到每个事务需要从远程源传输到联合服务器的数据量的影响：数据量越大，响应时间越长。
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