因为增量索引可以添加和删除条目，所以多个执行任务可导致重复或丢失项。
As incremental indexing can add and delete entries, multiple executing tasks can lead to duplicate or missing entries.
这意味着，DB 2从重新构建和增量索引维护两种方法中选择最合适的方法。
This means that DB2 chooses either the rebuild or incremental index maintain approach, whichever is the best fit.
增量备份允许只备份自上一次备份以来发生变化的索引和数据页。
Incremental backup allows you to back up only index and data pages that have changed since a previous backup.
初始更新之后是增量更新，那些已经被索引且没有被修改的对象不会被再次索引。
Updates after the initial update are incremental, unchanged objects that have already been indexed will not be indexed again.
索引的增量更新将比初始索引创建需要的时间和资源更少。
An incremental update of the index will take less time and resources than the creation of the initial index.
如果您想改善增量填充的性能，则可在时间戳列上生成一个二级索引。
Build a secondary index on a timestamp column if you want to improve the performance of incremental population.
这样，迭代索引从begin属性的值开始，以 step 属性的值为增量进行递增，在迭代索引超过 end 属性的值时停止迭代。
The index of the iteration thus starts at the value of the begin attribute, is incremented by the value of the step attribute, and halts iteration when it exceeds the value of the end attribute.
如果影响表全文索引的任意元数据自上次填充以来发生了变化，增量填充请求将作为完全填充来执行。
Incremental population requests are implemented as full populations if any metadata that affects the full-text index for the table has changed since the last population.
为每一行数据所创建的索引成为了计数器，因为每当新的一行数据加进来的时候，这个索引是唯一的增量，这也意味着计数器将与字符串数据的总量同步变化。
The index created for each row of data becomes the count because it was only incremented when a new row of data was found, meaning it is in sync with the amount of data in the string.
实验分析表明，这种增量式信息更新方法很大程度上提高了大型网站搜索引擎网页的更新效率。
The experiment shows that this kind of Incremental information refresh method can improve the large - scale websites refresh efficiency obviously.
实验结果表明，本文防哪个法可以有效的进行增量式数据索引，并交好的保持了数据对象间的距离信息。
Our experimental results show our method can effectively perform incremental data indexing, and can keep well the distance information between data objects.
实验结果表明，本文防哪个法可以有效的进行增量式数据索引，并交好的保持了数据对象间的距离信息。
Our experimental results show our method can effectively perform incremental data indexing, and can keep well the distance information between data objects.
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