• New features added to query time performance are as follows.

    查询中增加的新特性列举如下。

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  • And we analyzed the query time and the precision ration.

    然后我们对系统的响应时间和查准率进行分析。

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  • The ability to load data into HashMaps where column names are not known at query time.

    将数据加载到HashMaps 的功能(在查询时列名是未知的)。

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  • To check if a spatial grid index is actually exploited during query time, you should have a look at the access plan.

    为检查在查询时是否真正使用了一个空间网格索引,应该查看一下访问计划。

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  • The effects of clustering the rows by their spatial properties rely on accessing just a subset of the data during query time.

    按照空间属性聚集这些行的效果取决于在查询时对一个数据子集的访问。

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  • Turn off any features you are not in fact using. If you are storing fields but not using them at query time, don't store them.

    如果你存储了字段,但是在查询时根本没有用到它们,那么别存储它们。

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  • This paper presents an algorithm to dispatch the operations of the query tree, parallelize queries, and shorten the query time.

    针对这种情况,本文提出一种对数据库查询树的分配算法,使查询并行化,缩短查询的响应时间。

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  • But there's no way at query time to override an association to use the default eager evaluation techniques (second but immediate query).

    但是,无法在查询时覆盖关联来使用默认的即时抓取技术(第二个查询立即执行)。

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  • XQuery over XML data in XML type columns can be 40 times faster than corresponding queries over CLOB columns which require XML parsing at query time.

    xml类型列中XML数据的XQuery速度比CLOB的对应查询(需要在查询时进行xml解析)速度快了40倍。

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  • The content-based cluster P2P search model depending on a set distance is proposed in this paper to reduce the query time and redundant messages.

    本文提出利用集合差异度实现基于内容聚类的P2P搜索模型提高查询效率和减少冗余消息。

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  • Using a text index makes document search much more efficient, as the text data does not need to be examined at query time like it is done with sub-string matching.

    使用文本索引使文档搜索的效率大大提高,因为不需要像进行子字符串匹配时那样在查询时检查文本数据。

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  • We present some advantages and disadvantages of the processes by analyzing the relationship between query time and storage space. Some conclusions are reached.

    通过对数据库所需存贮空间和查询响应时间的分析,讨论了两者的优缺点,并给出了一些具体使用的准则。

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  • The new version also includes features for indexing and querying including support for term vector, access to scoped analyzer at query time and access to Results Explanation object.

    该新版本还包含了索引和查询的一些特性,包括对termvector的支持、在查询期内可以访问范围内的分析器及ResultsExplanation对象。

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  • This feature limits the server load and reduces the waiting time for large query sets.

    该特性限制了服务器负载,并降低了大型查询集合的等待时间。

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  • This time the query runs successfully.

    这一次,该查询将运行成功。

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  • The cost can be one of the following metrics: execution time per query execution, user CPU time per query execution, and system CPU time per query execution.

    这里所说的成本可能是下面的度量之一:每次查询执行的执行时间、每次查询执行的用户CPU时间、以及每次查询执行的系统CPU时间。

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  • As a compromise, you can provide a query parameter for development time and then disable it when deploying the application.

    作为折衷办法,您可以在开发时提供查询参数,然后在部署该应用程序时再禁用它。

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  • Those changes cut the costs for the original query down to half and also greatly reduced the query response time.

    那些更改将原始查询的成本缩减了一半,同时也极大地减少了查询响应时间。

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  • By persisting the view, you save the results of the query the first time you run it (updating only when documents change).

    通过持久化视图,您保存了第一次运行查询的结果(仅在文档更改时更新)。

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  • Profiler information is also written to capture execution and waiting time metrics for query constructs.

    另外写入配置文件信息来捕获用于构造查询的执行和等待时间指标。

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  • This is especially important in the OLTP environment where transactions are huge and query response time is critical.

    这在OLTP环境中尤为重要,该环境中的事务十分巨大,而且查询响应时间十分关键。

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  • By making data types consistent within the DDL, there is less overhead associated with conversion of data at query run time.

    通过在DDL中确保数据类型一致,在查询运行当中与数据转换相关的开销会比较小。

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  • Any attempt to perform a string comparison on an employee ID will then fail with a type error at query run time.

    在查询运行时,尝试在雇员ID上执行字符串比较将遭到失败,并产生一个类型错误。

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  • If you have created many MQTs, all of which can be used to satisfy a query, the compilation time of the query can increase.

    如果您创建了许多MQT(所有这些MQT都可以用于满足查询),那么查询的编译时间会增加。

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  • Such rules can significantly reduce query execution time.

    这些规则可以显著减少查询执行时间。

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  • One option for authors and analysts to improve interactive query response time is to filter their reports or analyses first.

    对设计人员和分析人员来说,提升交互查询时间的方法之一就是先过滤报表或分析。

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  • The result of this query (at the time of writing, at least) is two version texts printed directly after each other.

    查询结果(至少在本文撰写之时)是两个版本的文字,直接显示在彼此之后。

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  • The recommendation is to issue RUNSTATS if the savings in total query elapsed time is much greater than the additional time to do RUNSTATS.

    如果整个查询经过时间中所节省的时间比完成RUNSTATS 所增加的时间大得多,就建议发出 RUNSTATS。

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  • Make changes to your original query one at a time, and test to see if the performance has improved (decreased response time).

    一次修改原始查询的一个地方,并进行测试,以查看是否提高了性能(减少了响应时间)。

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  • Another query against the summary table returns no data, but after the REFRESH table statement executes this time, the query runs successfully.

    再次查询总结表,又是没有返回数据,但是当执行了REFRESHtable语句之后,查询得以成功运行。

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