compound indexing

简明释义

1. 复式分度; 2. 复式分度法;

英英释义

例句

1.The database administrator recommended compound indexing to optimize our search queries.

数据库管理员建议使用复合索引来优化我们的搜索查询。

2.Our application benefits from compound indexing when filtering data by both date and category.

当按日期和类别过滤数据时，我们的应用程序受益于复合索引。

3.In the database, we implemented compound indexing to improve query performance.

在数据库中，我们实施了复合索引以提高查询性能。

4.The use of compound indexing can significantly reduce the time it takes to retrieve records.

使用复合索引可以显著减少检索记录所需的时间。

5.When designing the schema, we decided to use compound indexing on multiple columns.

在设计架构时，我们决定在多个列上使用复合索引。

作文

In the field of data management and database systems, the concept of compound indexing is crucial for optimizing search and retrieval processes. Compound indexing refers to the technique of creating an index on multiple columns of a database table, which allows for more efficient querying when searching for records that match multiple criteria. This is particularly useful in scenarios where a database contains a large amount of data, and users frequently need to filter results based on various attributes.For instance, consider a database storing information about books in a library. Each book has several attributes such as title, author, publication year, and genre. If a librarian wants to find all science fiction books published after 2020 by a specific author, using a compound index on the columns 'author' and 'publication year' would significantly speed up the search process. Instead of scanning through each record one by one, the database can quickly reference the compound index to find the relevant entries, thus improving efficiency.The implementation of compound indexing can lead to better performance in read-heavy operations, which is essential for applications that require quick access to data. However, it is important to note that while compound indexing enhances query performance, it can also introduce some overhead during data modification operations such as INSERT, UPDATE, or DELETE. This is because the index needs to be updated whenever the indexed data changes. Therefore, database administrators must carefully consider the trade-offs when deciding whether to implement compound indexing.Another significant advantage of compound indexing is its ability to support complex queries. In many real-world applications, users may need to perform searches that involve multiple conditions. For example, an e-commerce website might allow customers to filter products by category, price range, and brand. By utilizing compound indexing, the database can efficiently handle these multi-dimensional queries, providing users with faster results and a better overall experience.Moreover, compound indexing can also improve the performance of sorting operations. When a query requires results to be sorted based on multiple columns, having an appropriate compound index can reduce the amount of data that needs to be processed, thereby speeding up the sorting process. This is particularly valuable in applications where users expect instantaneous feedback from their queries.In conclusion, compound indexing is a powerful tool in the realm of database management that offers numerous benefits, including improved query performance, support for complex queries, and enhanced sorting capabilities. However, it is essential for database designers to weigh the advantages against the potential drawbacks related to data modifications. By strategically implementing compound indexing, organizations can ensure that their databases remain efficient and responsive, ultimately leading to a better user experience and more effective data management practices.

在数据管理和数据库系统领域，复合索引的概念对于优化搜索和检索过程至关重要。复合索引是指在数据库表的多个列上创建索引的技术，这样在搜索符合多个条件的记录时，可以更高效地查询。当数据库中包含大量数据，并且用户经常需要根据各种属性过滤结果时，这种技术尤其有用。例如，考虑一个存储图书馆书籍信息的数据库。每本书都有多个属性，例如标题、作者、出版年份和类型。如果图书管理员想要找到2020年后出版的所有特定作者的科幻书籍，那么在“作者”和“出版年份”列上使用复合索引将显著加快搜索过程。数据库可以快速引用复合索引来找到相关条目，而无需逐条扫描每个记录，从而提高了效率。实施复合索引可以在读取操作密集的情况下提高性能，这对需要快速访问数据的应用程序至关重要。然而，值得注意的是，虽然复合索引增强了查询性能，但在数据修改操作（例如INSERT、UPDATE或DELETE）期间也可能引入一些开销。这是因为每当被索引的数据发生变化时，索引需要更新。因此，数据库管理员在决定是否实施复合索引时，必须仔细考虑权衡利弊。复合索引的另一个显著优势是它能够支持复杂查询。在许多实际应用中，用户可能需要执行涉及多个条件的搜索。例如，一个电子商务网站可能允许客户按类别、价格范围和品牌过滤产品。通过利用复合索引，数据库可以高效处理这些多维查询，为用户提供更快的结果和更好的整体体验。此外，复合索引还可以提高排序操作的性能。当查询要求根据多个列对结果进行排序时，拥有适当的复合索引可以减少需要处理的数据量，从而加快排序过程。这在用户期望从查询中获得即时反馈的应用程序中尤为宝贵。总之，复合索引是数据库管理领域中的一种强大工具，提供了许多好处，包括改善查询性能、支持复杂查询和增强排序能力。然而，数据库设计师必须权衡与数据修改相关的潜在缺点。通过战略性地实施复合索引，组织可以确保其数据库保持高效和响应迅速，最终导致更好的用户体验和更有效的数据管理实践。