普林斯顿形状基准数据库已经成为当前三维模型检索研究人员使用最为广泛的基准数据库之一。
The Princeton Shape benchmark has become one of the most prevailing benchmarks in 3d Model Retrieval community.
这个工具包中有用于加载数据库和驱动基准测试程序的一些基准工具。
Inside the kit are the benchmark facilities for loading the database and driving the benchmark.
在这些基准的历史中,DB 2是惟一能同时在三项性能结果中领先的数据库(我们多次取得这样的成就)。
In the history of these benchmarks, DB2 is the only database to ever have the leading performance results for all three at the same time (we've done it more than once).
目的不是运行一个典型的、具有大量内存和存储服务器需求的数据库基准,而是测试CPU和进程的可伸缩性。
The purpose was not to run a typical database benchmark with huge memory and storage server requirements, but rather to test CPU and process scalability.
得到结果之后,只需访问一个关系数据库性能基准站点,查找能够满足需要的系统。
Once performed, you can simply go to a relational database performance benchmark site and find systems in the ballpark range.
用于该基准的数据库必须有10tb的原始数据,并且有高效的磁盘扫描和表连接算法。
The database used for this benchmark is defined with 10tb of raw data and requires highly efficient disk scanning and table joining algorithms.
该书提供了大量有关XML数据库产品体系结构、案例研究和性能基准测试的有用信息。
This book is full of useful information on XML database product architectures, case studies, and performance benchmarks.
为了证实DB2对象在SSD 上的性能效果,我们选择一个IBM DB2 OLTP工作负载来进行一系列的测试,首先以所有数据库文件放在 HDD 上的场景作为基准。
To confirm placement options for DB2 objects on SSDs, we chose an IBM DB2 OLTP workload to drive a series of tests, starting with a baseline of all database files on HDDs.
我也意识到类没有书面文字有用,因此,您现在所阅读的是对于如何基于Fastestdba基准的剖析,来调优数据库的探索。
I also realized that classes are not as useful as the written word, so what you are now reading is an exploration of how to tune a database based on a dissection of the Fastest DBA benchmark.
TPC-C是一种OLTP基准,要求有效地使用大量内存,大量的随机read/writeI/O,并且有很密集的数据库日志活动。
TPC-C is an OLTP benchmark which requires efficient use of large memory, intensive random read/write I/O, and has extremely intensive database log activity.
TransactionProcessingoverXML (TPoX)是一个基于金融应用程序场景(特别是有价证券交易)的应用程序级别的XML数据库基准。
Transaction Processing over XML (TPoX) is an application-level XML database benchmark based on a financial application scenario, specifically security trading.
数据库本身往往不包含关于大地基准点的信息,所以您必须从创建坐标的应用程序中查明大地基准点。
Usually, the database itself contains no information about its geodetic datum, so you must find this out from the application that created the coordinates.
DTW基准测试工具在这个测试执行过程中所获得的数据表明,这个数据库每秒平均处理302.93个事务。
Data captured by the DTW benchmarking tool during this test run showed that the database was processing an average of 302.93 transactions per second.
而在这个测试过程中由DTW基准测试工具获得的数据表明这个数据库平均每秒能处理36.04事务。
And data captured by the DTW benchmarking tool during this test run indicated that the database was processing an average of 36.04 transactions per second.
换句话说,您必须对数据库进行完整的备份,从而为执行增量备份提供一个基准点。
In other words, you must take a full database backup so that you have a baseline against which incremental backups can be taken.
本文描述了针对领先的100gbTPC - h基准测试公布的数据库安装和配置。
This article describes the database setup and configuration for a leading 100gb TPC-H benchmark publication.
大多数原生xml数据库拥有一些工具来对代码进行基准测试或剖析。
Most native XML databases have tools to benchmark or profile code.
图3总结了DB2之类适用于SAP数据库交付的在不同sap基准下的领先结果。
Figure 3 shows some a summary of some various SAP benchmark leadership results that a database crafted for SAP, like DB2, can deliver.
数据库本身往往不包含关于大地基准点的信息,所以您必须从创建坐标的应用程序中查明大地基准点。 。
Usually, , the database itself contains no information about its geodetic datum, so you must findthis out from the application that created the coordinates.
通过实际应用案例,介绍了TPC - C基准测试体系的模型结构和原理,以及以数据库调优技术进行测试的方法。
Through actual test cases, this paper introduces the model structure and principle of TPC-C, also describes how to test with database tuning technology.
如果您想要测量数据库(新索引,例如)进行某些更改的影响,您需要获取基准测量,进行更改然后再衡量的差异。
If you want to measure the impact of a certain change to the database (a new index, for example), you'll need to take a baseline measurement, make the change and then measure the difference.
本文针对大型数据库管理系统中缺乏平台质量评测手段的问题,建立了TPC - C基准评测体系。
This paper establishes the TPC-C benchmark evaluation system in order to solve the problem of the quality evaluation method which is lacking in large Database management systems.
计算机科学中,基准测试已经用来比较计算机系统性能、检索算法信息、数据库和其他一些技术。
Benchmarks have been used in computer science to compare the performance of computer systems, information retrieval algorithms, databases, and many other technologies.
第四章介绍了我们在神舟oscar关系数据库系统中实现了的索引推荐器的原型系统,同时使用标准的数据库评测基准对系统进行了测试。
In the fourth chapter, we introduce a prototyped index advisor for OSCAR database engine with some advising results for database schemas and workloads from generally used database benchmarks.
采用集中分布式的系统架构,利用网关接入技术、数据库技术,以及标准的基准系统,有效地支持了数据链平台以多种方式开展测试评估及训练演练。
It supports data link platforms with different tests, evaluations and trainings effectively, by adopting the technology of gateway, data base, and standard datal ink system.
采用集中分布式的系统架构,利用网关接入技术、数据库技术,以及标准的基准系统,有效地支持了数据链平台以多种方式开展测试评估及训练演练。
It supports data link platforms with different tests, evaluations and trainings effectively, by adopting the technology of gateway, data base, and standard datal ink system.
应用推荐