partitioning

简明释义

英[pɑːˈtɪʃənɪŋ]美[pɑrˈtɪʃənɪŋ]

n. 分割；分区

v. 把……分成部分；隔开（partition 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.They address the large-scale partitioning and concurrency issues.

它们解决了大规模分区和并发问题。

2.Yet some manner of partitioning is often unavoidable.

某些划分方式通常是不可避免的。

3.Figure 4 shows the setup of the disk (for partitioning).

图4显示了磁盘设置(分区)。

4.HP has many different partitioning and virtualization strategies.

HP拥有许多不同的分区和虚拟化战略。

5.This is called partitioning the data.

这称为数据分区。

6.In some ways, this is similar to IBM Logical partitioning.

从某种程度上而言，这类似于IBM逻辑分区。

7.Micro-partitioning and virtualization.

微分区和虚拟化。

8.The partitioning key should include the most frequently joined columns.

分区键应该包括最常连接的列。

9.Effective partitioning 分区 of the network can enhance security.

有效的网络分区可以增强安全性。

10.In cloud computing, partitioning 分区 resources helps in efficient load balancing.

在云计算中，分区资源有助于高效的负载均衡。

11.The partitioning 分区 of the server allows multiple applications to run simultaneously.

服务器的分区允许多个应用程序同时运行。

12.The software uses a method of partitioning 分区 the database to improve performance.

该软件使用一种分区数据库的方法来提高性能。

13.The team is partitioning 分区 the project into smaller tasks for better management.

团队正在将项目分区为更小的任务以便于管理。

作文

In computer science, the concept of partitioning (分区) plays a crucial role in organizing data efficiently. When we think about large datasets, it becomes evident that managing them in a single block is not only cumbersome but also inefficient. This is where partitioning (分区) comes into play. By dividing data into smaller, more manageable sections, we can enhance performance, improve accessibility, and streamline processing tasks.For instance, consider a database that stores information for thousands of users. If all user data is kept in one table, retrieving specific information can become a slow process. However, by implementing partitioning (分区), we can separate the data based on certain criteria, such as geographical location or user activity. This means that when a query is made, the system only needs to search through a smaller subset of data, significantly speeding up the retrieval process.Moreover, partitioning (分区) also aids in maintaining data integrity and security. By isolating sensitive information from less critical data, organizations can apply stricter security measures to protect important information. For example, financial records can be stored in a separate partition, ensuring that they are only accessible to authorized personnel. This not only safeguards the data but also simplifies compliance with regulations regarding data protection.In addition to databases, partitioning (分区) is also relevant in cloud computing and distributed systems. In these environments, data is often spread across multiple servers. Effective partitioning (分区) strategies ensure that each server manages only a portion of the total data, which helps in load balancing and resource management. This way, if one server goes down, the impact on the overall system is minimized because other servers can continue to operate without interruption.Furthermore, in the realm of software development, partitioning (分区) can refer to dividing code into modules or components. This modular approach allows developers to work on different parts of a project simultaneously, improving collaboration and efficiency. Each module can be developed, tested, and maintained independently, which reduces the complexity of the overall system.In conclusion, partitioning (分区) is a fundamental concept that enhances the efficiency, security, and manageability of data across various fields. Whether in databases, cloud computing, or software development, understanding how to effectively implement partitioning (分区) can lead to significant improvements in performance and organization. As technology continues to evolve, mastering the art of partitioning (分区) will remain an essential skill for professionals in the tech industry.

在计算机科学中，partitioning（分区）的概念在高效组织数据方面起着至关重要的作用。当我们考虑大型数据集时，很明显将它们管理在一个单一块中不仅繁琐而且效率低下。这就是partitioning（分区）发挥作用的地方。通过将数据划分为更小、更易于管理的部分，我们可以提高性能、改善可访问性并简化处理任务。例如，考虑一个存储数千用户信息的数据库。如果所有用户数据都保存在一个表中，检索特定信息可能会变得缓慢。然而，通过实施partitioning（分区），我们可以根据某些标准（例如地理位置或用户活动）来分隔数据。这意味着当进行查询时，系统只需要搜索较小的数据子集，从而显著加快检索过程。此外，partitioning（分区）还有助于维护数据的完整性和安全性。通过将敏感信息与不太重要的数据隔离，组织可以对保护重要信息采取更严格的安全措施。例如，财务记录可以存储在单独的分区中，确保只有授权人员可以访问。这不仅保护了数据，还简化了有关数据保护的合规性。除了数据库，partitioning（分区）在云计算和分布式系统中也很相关。在这些环境中，数据通常分散在多个服务器上。有效的partitioning（分区）策略确保每个服务器只管理总数据的一部分，这有助于负载均衡和资源管理。这样，如果一台服务器出现故障，对整个系统的影响就会最小化，因为其他服务器可以继续运行而不会中断。此外，在软件开发领域，partitioning（分区）可以指将代码划分为模块或组件。这种模块化方法允许开发人员同时处理项目的不同部分，提高协作和效率。每个模块可以独立开发、测试和维护，从而减少整体系统的复杂性。总之，partitioning（分区）是一个基本概念，可以提高各个领域的数据效率、安全性和可管理性。无论是在数据库、云计算还是软件开发中，理解如何有效实施partitioning（分区）都能显著改善性能和组织。随着技术的不断发展，掌握partitioning（分区）的艺术将始终是科技行业专业人士的重要技能。