文中提出了一种基于数据仓库和位图连接索引的查询方法。

This paper will optimize the processing of join query based on join index.

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直接建立维度表与事实表的位图连接索引会产生大量无用的索引项，影响查询效率。

Building bitmap join indexes of dimension tables and fact tables directly may bring a large number of useless index items that affect query efficiency.

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如果您特别敢于冒险，您可以用一个浇头字段并用一张位图或连接字符串等内容来填充该字段。

If you're feeling particularly adventurous, you could have a single topping field and populate it with a bitmap or concatenated string or the like.

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