change dump

简明释义

1. 信息更换; 2. 信息转储; 3. 变更转储; 4. 改变存储;

英英释义

例句

1.To troubleshoot the application, we need to analyze the change dump from the last deployment.

为了排查应用程序问题，我们需要分析上次部署的变更转储。

2.The change dump revealed several unexpected alterations in the codebase.

这次变更转储揭示了代码库中几个意外的更改。

3.After the system update, we performed a change dump to capture all modifications.

在系统更新后，我们进行了变更转储以捕获所有修改。

4.The database administrator recommended a change dump to ensure data integrity during migration.

数据库管理员建议进行变更转储以确保迁移过程中的数据完整性。

5.For compliance purposes, a change dump was generated before the software release.

出于合规目的，在软件发布之前生成了一个变更转储。

作文

In the world of data management and software development, the term change dump refers to a specific type of data extraction that captures only the modifications made to a dataset since the last backup or snapshot. This process is essential for maintaining the integrity and efficiency of databases, especially when dealing with large volumes of information. By focusing on changes rather than duplicating entire datasets, organizations can save time and storage space, making their operations more streamlined and effective.The concept of a change dump is particularly relevant in environments where data is frequently updated, such as in financial institutions or e-commerce platforms. For instance, consider an online retail store that processes thousands of transactions daily. Each transaction alters various data points, including inventory levels, customer information, and sales records. If the store were to perform a full data backup every night, it would consume significant resources and time. Instead, by implementing a change dump strategy, the store can capture only the new transactions and updates, allowing for quicker backups and minimal disruption to ongoing operations.Moreover, the use of change dumps can enhance data recovery processes. In the event of a system failure or data corruption, having a recent change dump allows administrators to restore the database to its latest state without losing all the changes made since the last full backup. This capability not only reduces downtime but also minimizes the risk of data loss, which is crucial for maintaining customer trust and compliance with regulatory standards.Another advantage of utilizing change dumps is their role in data synchronization across different systems. In many organizations, data is stored in multiple locations or platforms. Keeping these systems synchronized can be challenging, particularly when updates occur frequently. By employing change dumps, businesses can ensure that only the necessary changes are propagated to other systems, reducing the amount of data transferred and speeding up the synchronization process.However, while change dumps offer numerous benefits, they also come with challenges. One of the primary concerns is ensuring that the change detection mechanism is robust and reliable. If changes are not accurately captured, it could lead to inconsistencies within the database or between different systems. Organizations must implement rigorous testing and monitoring procedures to ensure that their change dump processes function correctly.Additionally, the implementation of change dumps requires careful planning and consideration of the underlying architecture. Depending on the technology stack in use, there may be different methods for capturing changes, such as triggers, logs, or application-level tracking. Each approach comes with its own set of trade-offs in terms of performance and complexity.In conclusion, the concept of a change dump is a vital component of modern data management practices. By focusing on capturing only the changes made to a dataset, organizations can improve their backup efficiency, enhance data recovery capabilities, and streamline data synchronization processes. While there are challenges to overcome, the benefits of implementing a well-designed change dump strategy far outweigh the drawbacks, making it an essential practice for any data-driven organization.

在数据管理和软件开发的世界中，术语change dump指的是一种特定类型的数据提取，捕获自上次备份或快照以来对数据集所做的修改。这个过程对于维护数据库的完整性和效率至关重要，尤其是在处理大量信息时。通过关注变化而不是重复整个数据集，组织可以节省时间和存储空间，使其运营更加高效。change dump的概念在数据频繁更新的环境中尤为相关，例如金融机构或电子商务平台。例如，考虑一下一个每天处理数千笔交易的在线零售商店。每笔交易都会改变多个数据点，包括库存水平、客户信息和销售记录。如果商店每晚都进行完整的数据备份，这将消耗大量资源和时间。相反，通过实施change dump策略，商店可以仅捕获新的交易和更新，从而实现更快的备份，并对正在进行的操作造成最小干扰。此外，使用change dumps可以增强数据恢复过程。在系统故障或数据损坏的情况下，拥有最近的change dump可以让管理员将数据库恢复到最新状态，而不会丢失自上次完整备份以来所做的所有更改。这种能力不仅减少了停机时间，还最小化了数据丢失的风险，这对于维护客户信任和遵守监管标准至关重要。利用change dumps的另一个优势是它们在不同系统之间的数据同步中的作用。在许多组织中，数据存储在多个位置或平台中。保持这些系统同步可能具有挑战性，特别是在频繁更新时。通过采用change dumps，企业可以确保仅必要的更改被传播到其他系统，从而减少传输的数据量，加快同步过程。然而，尽管change dumps提供了许多好处，但它们也伴随着挑战。主要的担忧之一是确保变更检测机制稳健和可靠。如果更改未被准确捕获，可能导致数据库内部或不同系统之间的一致性问题。组织必须实施严格的测试和监控程序，以确保其change dump流程正常运行。此外，实施change dumps需要仔细规划和考虑底层架构。根据所使用的技术栈，可能有不同的方法来捕获更改，例如触发器、日志或应用程序级跟踪。每种方法在性能和复杂性方面都有其自身的权衡。总之，change dump的概念是现代数据管理实践的重要组成部分。通过专注于捕获数据集的更改，组织可以提高备份效率、增强数据恢复能力并简化数据同步过程。虽然存在需要克服的挑战，但实施良好设计的change dump策略的好处远大于缺点，使其成为任何数据驱动组织的基本实践。