Refer to the TPC-C Web site for complete details.
请参考TPC - c网站以获得完整细节。
The first column represents the TPC-H query number.
第一列表示TPC-H查询号。
Over 1 TB of TPC-H data was loaded in under 30 minutes.
它能在不足30分钟加载超过1TB的TPC- H的数据。
Multiple competitors have published results based on TPC-H data.
多家竞争对手已经在TPC - H的数据上公布了结果。
The following is required information when referencing TPC-C benchmarks.
下面是引用TPC - c基准时所需的信息。
The following table gives a brief summary of the TPC-H benchmark result.
下表给出了TPC - h基准测试结果的简要总结。
The database queries in TPC-H are more complex than typical OLTP queries.
TPC- H中的数据库查询要比典型的OLTP查询更加复杂。
As for benchmarks, the TPC-E record is now held by NEC using 8 Intel Xeon processors.
在基准测试中，TPC - e记录由使用8个英特尔xeon处理器的NEC保持。
I was the Secretary for South Korea TPC of China's total pneumatic components supplier.
我司是韩国TPC气动元件的中国总供应商。
On a final note, this feature was also used in the TPC-C benchmark referred to in Figure 2.
最后一点，该特性也用于图2中引用的TPC - c基准。
The performance test of TPC-H consists of two tests: the Power test and the Throughput test.
TPC-H性能测试包括两部分：能力（Power）测试和吞吐量（Throughput）测试。
The first step in maximizing the performance of the TPC-H benchmark is to look at scalability.
TPC - h基准测试性能最优化的第一步就是查看可伸缩性。
Finally I want to thank everyone involved in making the TPC-C results of the past 18 months a reality.
最后，我想感谢过去18个月为使TPC - C结果成为现实作出贡献的每一个人。
of course results will vary, but this test run was performed with the TPC-H query workload on 1 TB of data.
当然，结果将会变化，而该测试是通过执行包含1TB数据的TPC - H查询完成的。
This article describes the database setup and configuration for a leading 100gb TPC-H benchmark publication.
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。
We generated 4gb TPC-H data and divided the TPC-H tables among two databases on two separate physical machines.
我们生成了4gbTPC - H数据，并把TPC - H表分在两个单独物理机器上的两个数据库中。
Conversely, TPC-H is a data warehousing benchmark that requires the ability to perform complex queries efficiently.
相反，TPC - H是一种数据仓库基准，它要求能够有效地执行复杂查询。
In this article, Rielau has given a brief introduction into the schema of the TPC-C benchmark and its transactions.
在本文中，rielau简要地介绍了TPC - c基准的模式及其事务。
They are not derived from a compliant TPC-H benchmark and should not be compared with any existing official results.
它们不是来自兼容的TPC - h基准测试，并且不应该拿来与任何现有的正式结果相比较。
While the TPC-C benchmark is very simple, it is nonetheless quite efficient in touching many aspects of OLTP processing.
虽然TPC - c基准非常简单，但是它在OLTP处理的很多方面仍然非常有效。
The Special Burst may also carry layer 1 control symbols such as TPC bits for the purposes of inner-loop power control.
特殊突发还可以承载物理层控制符号如用于内环功率控制的TPC符号。
Please note that the ETL loading results are not TPC-H benchmark results and should not be compared to TPC-H benchmark results.
请注意ETL装载结果并非的TPC - H的基准测试结果，不应该和TPC - H的基准测试相比。
The TPC-C benchmark simulates a distribution enterprise with a product sales cycle using a small set of transactions and tables.
TPC - c基准使用一小组事务和表来模拟一家分销企业，该企业有一个产品销售周期。
SAP and TPC benchmarks do not require hardware vendors to list the number of cores that were used when publishing their results.
SAP和TPC基准不要求硬件供应商在公布他们的结果时列出所使用的核心数量。
In the last contest, we used an open source OLTP benchmark, called BenchmarkSQL, that closely resembles the TPC-C standard for OLTP.
在上一次竞赛中，我们使用了一个开源oltp基准测试，称为BenchmarkSQL，它与针对OLTP的TPC - c标准非常相似。
TPC-H is a decision-support benchmark that consists of a suite of business-oriented ad-hoc queries and concurrent data modifications.
TPC-H是一个由一套面向商业的即席（ad-hoc ）查询和并发数据修改组成的决策支持基准测试。
This arrangement is made with the following concern: in the TPC-H workload, a significant amount of I/O operations are sequential reads.
这种方案是出于以下考虑而布置的：在TPC-H工作负载中，相当大一部分I/O操作都是连续的读取操作。
After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.
经过几次迭代，可以有效地实现目标TPC的最大似然估计和补偿。
To test the performance of the MQTs over nicknames we used parts of the "TPC-H" benchmark workload adapted to fit a federated environment.
要在昵称上测试MQT的性能，我使用适应于联邦环境的部分“TPC - H ”基准测试工作负载。
In the federated database we defined servers to access the two DB2 databases and nicknames to map the TPC-H tables from those DB2 databases.
在联邦数据库中，我们定义了服务器来访问这两个DB 2数据库和昵称，以从这些DB 2数据库映射TPC - h表。
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