• A database option that determines if the application should fully populate the time dimension table when the table is created on first startup.

    一个数据库选项,用来决定此应用程序是否应在时间维度表首次启动被创建时完全填充此表。

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  • A database option that specifies the number of days (starting from the current date) to pre-populate in the date dimension table when it creates it on first startup.

    一个数据库选项,用来指定日期维度表在初次启动被创建时预填充的天数(从当前日期开始)。

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  • If the query was written by adding a dimension followed by a fact and then another dimension, then the database optimization would include the materialization as necessary.

    如果查询的创建是通过先添加维度再添加事实表然后又添加维度的方式构成,那么数据库优化则必须包含实体化。

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  • In a bit-vector pushdown, for each push-down, the database server hashes the keys from the dimension table to create a bit vector, which is shipped to the fact table.

    在位向量下推中,对于每次下推,数据库服务器通过散列维度表中的键来创建发送至事实表的位向量。

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  • The following steps will illustrate how to build a simple multi-fact model that incorporates a manually created time dimension based on a time dimension table found in the underlying database.

    下面的步骤将介绍如何创建一个简单的多事实模型,其中包括一个基于底层数据库的时间维度表手动创建的时间维度。

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  • In a star join plan, the database server pushes down keys from a dimension table to filter the fact table at the same time as it builds the hash table on the dimension table.

    星型连接计划中,数据库服务器在维度表中构建散列表的同时从维度表中下推键来过滤事实表。

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  • STEP A: We assume you have created a database with the default table spaces. Create the fact and dimension tables as follows.

    第 1 步:我们假设已经用默认表空间创建了一个数据库,同时创建下面的事实表和维度表。

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  • Figure 4 illustrates the connection to Database GBPM4ETL and the running of the script GBPM4ET.sql to create dimension tables and the fact table.

    图4演示了连接DatabaseGBPM 4etl并运行脚本GBPM 4et . sql来创建维度表和事实表。

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  • Connect to database GBPM4ETL and run script GBPM4ET.sql to create the dimension tables and fact table, as illustrated in Figure 10.

    连接数据库GBPM 4etl,运行脚本GBPM 4et . sql以创建维度表和事实表,如图10所示。

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  • Transaction logging in Domino R5 adds a dimension that streamlines all database transactions.

    DominoR5的事务日志为流线化所有数据库事务增加了一种方法。

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  • A relational database structure in which data is maintained in a single fact table at the center of the schema with additional dimension data stored in dimension tables.

    数据保存在架构中心的单个事实数据表中而其他维度数据存储在维度表中的一种关系数据库结构。

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  • This paper puts forward model of data structure for GIS with timing dimension based on the relationship database.

    提出一种依据关系型数据库管理下带有时间维数据结构的GIS数据模型。

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  • This paper puts forward to a model of data structure for GIS with timing dimension based on the relationship database.

    本研究提出一种依据关系型数据库管理下带有时间维数据结构的GIS模型。

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  • According to the requirements of design and calculation, a feasible expert database of beam pumping units is established by collecting the dimension data of the existing pumping units.

    根据设计计算的要求,搜集现有抽油机生产厂家生产的抽油机尺寸数据,建立了一套行之有效的游梁式抽油机专家数据库系统。

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  • By the research of database index, A new and efficient database index built by multi-dimension linked lists is given out , and also main problems of the database index are discussed there.

    通过对多维链表的研究,提出一种全新的、基于多维链表的、可以同时在多个属性上建立高效数据库索引的方法,并对这种索引方法的主要问题进行了比较详细的讨论。

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  • The database includes all single-scattering properties of cirrus. The database is valid at wavelength from 0.4 micron to 2.2 micron and the effective dimension from 10 micron to180 micron.

    精确计算了有效尺度从10微米到180微米,波长从0.4微米到2.2微米的冰云的单次散射特性,也形成了对应的散射数据库。

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  • The module of generalized database model was played in generalized model service, and multi-dimension data was analyzed and transferred, so decision information was finally obtained.

    广义模型服务调用广义模型库中的模块,对多维数据进行分析和转化,从而获得最终的决策信息。

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  • The parameterization standardized parts of fixture, the parameter database of standardized parts of fixture and dimension driving of standard parts are emphasized.

    重点介绍了标准件图形库、标准件参数库和标准件的参数化调用。

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  • The parameterization standardized parts of fixture, the parameter database of standardized parts of fixture and dimension driving of standard parts are emphasized.

    重点介绍了标准件图形库、标准件参数库和标准件的参数化调用。

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