• Orders fact table, containing 100,000,000 rows.

    Orders事实表包含100,000,000行。

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  • Finally, your detailed fact table will have billions of records.

    最后,您的事实表将拥有数十亿条记录。

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  • Columns in the join clauses in fact table of star schema database.

    星型数据库的事实表中join子句中的列。

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  • This implies joins between several dimension tables and the fact table.

    这意味着要将几个维表与事实表相联结。

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  • Select rows from a fact table that meet criteria for several dimensions.

    从事实表中选择在几个维上符合标准的行。

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  • A fact table contains things that you measure and record-typically Numbers.

    事实表包含了所度量和记录的内容——通常是数字。

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  • This is a star schema consisting of a fact table and four dimension tables.

    这是一个星型模式,由一个事实表和4个维表组成。

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  • A customer script USES the DB2 load utility to load each file into the fact table.

    一个客户脚本使用DB 2Load实用程序将每个文件装载到事实表中。

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  • Logically, each fact table row now represents a document, not a keyword occurrence.

    逻辑上,每个事实表行现在代表一个文档,而不是关键词的一次出现。

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  • The results become meaningful once items from the fact table are added to the report.

    一旦事实表中的项目加入报表中,结果就变得有意义了。

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  • If this environment is set, only tables specified in the list can be used as fact table.

    如果设置了这种环境,那么只有清单中指定的表才可以作为事实表。

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  • If the fact table is large in volume, then the response time may be longer than expected.

    如果事实表数据量很大,那么响应时间会比预期长。

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  • This query plan uses hash join for each join between the fact table and a dimension table.

    这个查询对每个事实表和维度表之间的连接使用散列连接。

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  • Fact table rows now represent documents instead of keyword occurrences within the document.

    事实表行现在表示文档,而不是关键词在文档中的出现。

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  • In the above, T1 is the fact table with FK-PK relationship with dimension tables T2 and T3.

    其中,T1是与维表t2和t3有fk - PK关系的事实表。

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  • In the initial star schema above, the fact table contains one row for each keyword occurrence.

    在前面的初始星型模式中,对于每次的关键词的出现,事实表都包含一行。

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  • The fact table in the dimensional model has a single join with all the other dimension tables.

    维度模型中的事实表与其他所有维度表之间存在单一连接。

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  • Fact (table) - The fact directive specifies a fact table to be used during star join optimization.

    FACT (table)—FACT指令指定在星型连接优化中使用的事实表。

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  • Assume that there is a LINEITEM fact table on one remote source and a PART dimension table on another.

    假设在一个远程数据源上有一个lineitem事实表,在另一个远程数据源上有一个part维表。

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  • The actual proportion depends on the distribution of rows with the pushed-down keys in the fact table.

    实际的比例取决于事实表中带有下推键的行的分布。

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  • The join between the fact table and any dimension table is an equi-join, which makes a hash join possible.

    事实表和任何维度表之间的连接都是等值连接,这使得散列连接成为可能。

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  • Additivity becomes important when you consider the possible summarizations that will occur on a fact table.

    当您考虑将在事实表上发生的可能汇总时,相加性就变得很重要。

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  • The previous example only contained a measure that was taken from one fact table in the underlying database.

    前面的例子只包含了一个来自底层数据库事实表的一个度量指标。

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  • The level of a dimension table corresponds to number of links it needs to connect to the central fact table.

    维度表的层次与它需要连接到中心事实表的连接数目有关。

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  • This option, however, still retrieves the dimension members on the edges through joins to a common fact table.

    但此选项,仍然会在边上通过连接到普通事实表来检索维度成员。

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  • Although the snowflake model does save space, it is generally not significant when compared to the fact table.

    虽然雪花型模型不节省空间,但与事实表相比时,这通常是不重要的。

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  • OLAP queries typically aggregate many rows of the fact table into a relatively small number of summary results.

    OLAP查询通常将事实表的许多行聚合成一个相对少量的汇总结果。

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  • This dynamic filter on the fact table reduces the number of rows used in the probe phase of the actual hash joins.

    事实表上的动态过滤减少了实际散列连接探测阶段使用的行数。

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  • A dimension table needs a generalized key as the primary key data; this becomes the foreign key in the fact table.

    维度表需要作为主键数据的通用键;这将作为事实表的外键。

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  • Choose the simpler star schema if you prefer a model where each fact table rows represents a keyword in a document.

    如果希望每个事实表行表示一个文档中的一个关键词,那么选择更简单的星型模式。

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