sequential scanning

简明释义

顺序扫描

英英释义

例句

1.When reading through a large dataset, sequential scanning can be time-consuming but effective.

在读取大型数据集时，顺序扫描可能耗时但有效。

2.The database uses sequential scanning to retrieve records efficiently.

数据库使用顺序扫描高效地检索记录。

3.The software implements sequential scanning to ensure all files are checked for viruses.

该软件实施顺序扫描以确保所有文件都经过病毒检查。

4.Using sequential scanning, the system processes each transaction in the order they were received.

系统使用顺序扫描按接收顺序处理每笔交易。

5.In image processing, sequential scanning helps in analyzing pixel data line by line.

在图像处理过程中，顺序扫描有助于逐行分析像素数据。

作文

In the realm of computer science, particularly in data processing and retrieval, the term sequential scanning refers to a method where data is accessed in a linear fashion. This means that the system reads through each record or piece of data one by one, from the beginning to the end, until it finds the desired information. This approach is often contrasted with more complex searching algorithms that allow for faster access to data by utilizing indexes or other structures. The simplicity of sequential scanning makes it a fundamental concept in understanding how data is handled within databases and file systems.One of the primary advantages of sequential scanning is its ease of implementation. For small datasets, this method can be quite efficient, as the overhead associated with more complicated searching techniques may not be justified. For instance, if a database contains only a few hundred records, scanning through them sequentially may yield results quickly without the need for additional indexing. However, as the size of the dataset grows, the inefficiencies of sequential scanning become more apparent. Searching through thousands or millions of records linearly can lead to significant delays, making it impractical for large-scale applications.Despite its limitations, sequential scanning remains relevant in various scenarios. For example, when dealing with streaming data or real-time analytics, this method can provide a straightforward way to process incoming data in the order it is received. Additionally, some algorithms, such as those used in certain types of machine learning, may rely on sequential scanning to traverse datasets for training purposes.In contrast, more advanced techniques such as binary searching or hash indexing allow for much faster data retrieval. These methods utilize the structure of the dataset to skip over irrelevant records, significantly reducing the time it takes to find specific information. However, implementing these techniques requires a deeper understanding of the data and often involves additional complexities that may not be necessary for simpler applications.In conclusion, while sequential scanning may not always be the most efficient method for data retrieval, it serves as a foundational concept in data processing. Understanding its principles allows developers and data scientists to appreciate the evolution of data handling techniques and make informed decisions about which methods to employ based on the context of their work. As technology continues to advance, the balance between simplicity and efficiency will remain a crucial consideration in the development of data management systems. Ultimately, mastering concepts like sequential scanning equips individuals with the skills needed to navigate the ever-evolving landscape of data science and computer programming, ensuring they can adapt to new challenges and opportunities as they arise.

在计算机科学的领域，特别是在数据处理和检索中，术语顺序扫描指的是一种以线性方式访问数据的方法。这意味着系统逐条读取每个记录或数据片段，从头到尾，直到找到所需的信息。这种方法通常与更复杂的搜索算法形成对比，后者通过利用索引或其他结构来实现更快速的数据访问。顺序扫描的简单性使其成为理解数据库和文件系统中数据处理的基本概念。顺序扫描的主要优点之一是其易于实现。对于小型数据集，这种方法可能非常高效，因为与更复杂的搜索技术相关的开销可能不值得。例如，如果一个数据库包含只有几百条记录，顺序扫描可能很快就能得出结果，而无需额外的索引。然而，随着数据集规模的增长，顺序扫描的低效性变得愈加明显。在线性搜索数千或数百万条记录时，可能会导致显著的延迟，使其在大规模应用中变得不切实际。尽管有其局限性，顺序扫描在各种场景中仍然相关。例如，在处理流数据或实时分析时，这种方法可以提供一种简单的方法来按接收顺序处理传入数据。此外，一些算法，例如某些类型的机器学习中使用的算法，可能依赖于顺序扫描来遍历训练数据集。相比之下，更先进的技术如二分搜索或哈希索引允许更快的数据检索。这些方法利用数据集的结构跳过不相关的记录，显著减少查找特定信息所需的时间。然而，实现这些技术需要对数据有更深入的理解，并且通常涉及额外的复杂性，这在较简单的应用中可能并不必要。总之，虽然顺序扫描可能并不总是最有效的数据检索方法，但它作为数据处理中的基础概念仍然存在。理解其原则使开发人员和数据科学家能够欣赏数据处理技术的发展，并根据工作背景做出明智的决定，选择采用哪些方法。随着技术的不断进步，简单性与效率之间的平衡将始终是数据管理系统开发中的关键考虑因素。最终，掌握像顺序扫描这样的概念使个人具备了应对不断变化的数据科学和计算机编程领域的技能，确保他们能够适应新出现的挑战和机遇。