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  • Typed table, range partitions, or MDC tables.

    类型表、范围分区或mdc表。

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  • MDC supports defining multiple dimensions.

    MDC则支持定义多个维。

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  • TP cannot be used to rectify a poor MDC design.

    TP不能用于纠正不好的MDC设计。

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  • For MDC tables, the number of blocks that contain data.

    对于mdc表,还有包含数据的块(block)数。

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  • For example, an MQT can be partitioned using MDC or TP.

    例如,可以使用MDC或TP对MQT分区。

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  • MDC contributes by making it efficient to retrieve data.

    MDC对性能的贡献在于提高检索数据的效率。

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  • Base tables that include MDC or partitioning recommendations.

    包括MDC或分区建议的基本表。

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  • MDC block indexes means that fewer RID indexes are required.

    MD c块索引意味着需要的RID索引更少。

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  • This enhancement for MDC tables provides the following benefits.

    用于mdc表的这种增强提供了以下好处。

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  • MDC will only benefit those queries that include dimension columns.

    MDC只对那些包括维列的查询有好处。

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  • When DB2 encounters an INSERT on an MDC table, it looks for a free block.

    当DB 2碰到对mdc表的INSERT操作时,它寻找一个空闲的块。

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  • When scanning an MDC table, block locking could be deferred for an index scan.

    当扫描一个mdc表时,对于索引扫描,块锁可以推迟。

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  • Multidimensional - You can roll out data on any dimension in an MDC table.

    多维-现在可以转出mdc表中任何维上的数据。

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  • For example, an MQT can be created on one or more tables that USES MDC and TP.

    例如,可以在一个或多个使用MDC和TP的表上创建MQT。

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  • It USES the mapped diagnostic context class (MDC) available in Log4J 1.3 alpha.

    它使用了Log4J 1.3alpha中提供的映射诊断上下文类(MDC)。

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  • With MDC tables, data is organized into blocks according to dimension values.

    对于mdc表,数据根据维值被组织到块中。

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  • Logs and removes the block index (BID) index entry from the MDC table's block indexes.

    记录并删除mdc表的块索引中的块索引(BID)索引项。

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  • Efficiency of SAP BW with key BI-related objects like MDC tables for even faster performance.

    SAPBW的高效性通过关键的BI有关对象,如mdc表,以获得更快的性能。

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  • Having lost faith in Mr Mbeki, the MDC also wants a full-time mediator from the African Union.

    MDC已经对姆贝基先生失去信心,它希望非盟派出一名全职的仲裁专使。

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  • On the other hand, with MDC it is advisable to pre-sort the data according to the MDC dimensions.

    另一方面,如果使用MDC,建议预先根据 MDC 维对数据进行排序。

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  • This article introduced the following DB2 table design features: table partitioning, MDC, DPF, and MQT.

    本文介绍了以下DB2表设计特性:表分区、MDC、DPF和 MQT。

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  • Multi DIMENSIONAL CLUSTERING (MDC) - organizing data in table (or range of a table) by multiple key values.

    MULTIDIMENSIONALCLUSTERING (MDC)——根据多个键值组织表(或一个表中的范围)中的数据。

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  • TP, introduced in DB2 9, is similar to MDC in that it enables rows with similar values to be stored together.

    TP是在DB29 中引入的,与MDC类似,它也可以将具有近似值的行存储在一起。

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  • If the target table is a multidimensional clustering (MDC) table, the source table must also be an MDC table.

    如果目标表是多维集群化(Multidimensional Clustering,mdc)表,则源表也必须是mdc表。

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  • MDC is uniquely suited to situations which are more demanding, but less common, than the basic roll-out situation.

    MDC是惟一适合以下情况的特性,与基本转出相比,下面这些情况要求更高,但是不大常见。

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  • In summary, if there is a problem with DPF, MDC, or TP, then remedies applicable to that feature need to be attempted.

    总之,如果存在与D PF、MDC或TP相关的问题,那么还是应该尝试适用于那个特性的解决方法。

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  • Essentially, MDC is a feature that maximizes performance of queries, especially those commonly found in data warehouses.

    实际上,MDC是一个能最大化查询性能的特性,对于数据仓库中常用的查询更是如此。

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  • Generally, one of the MDC dimensions will be a time-based column so the same column can be used for both MDC and TP.

    通常,有一个mdc维是基于时间的列,这样一来,同一个列既可以用于MDC,又可以用于TP。

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  • In the next version of the SAP BW product, the Fact tables will use a multidimensional clustering (MDC) table to store data.

    在下一个版本的SAPBW产品中,fact表将使用多维集群(multidimensional clustering,MDC)表来存储数据。

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