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    数据量增长导致性能下降 (data volume growth leads to performance degradation)

    Grammar & Usage

    phrase
    neutral, formal (technical)

    How it works

    This phrase describes a cause-and-effect relationship. '数据量增长' (data volume growth) acts as the cause, followed by '导致' (to lead to, to result in), which is a verb indicating causation. '性能下降' (performance degradation/decline) is the effect. The structure is [Cause] + 导致 + [Effect].

    Sample sentences

    大数据时代,数据量增长导致性能下降是常见的问题。

    In the big data era, data volume growth leading to performance degradation is a common problem.

    为了解决数据量增长导致性能下降的问题,我们正在考虑升级硬件。

    To solve the problem of data volume growth leading to performance degradation, we are considering upgrading the hardware.

    数据库设计不合理是导致数据量增长导致性能下降的主要原因之一。

    Unreasonable database design is one of the main reasons for data volume growth leading to performance degradation.

    Quick facts

    usage:This phrase is commonly used in technical contexts, such as IT, software engineering, and database management, to describe a common problem.

    Mnemonic

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    Example

    大数据时代,数据量增长导致性能下降是常见的问题。

    In the big data era, data volume growth leading to performance degradation is a common problem.

    为了解决数据量增长导致性能下降的问题,我们正在考虑升级硬件。

    To solve the problem of data volume growth leading to performance degradation, we are considering upgrading the hardware.

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