Подход к созданию сервиса динамического поиска для высоконагруженных систем

ИТ-Стандарт. 2023. № 3. С. 23–35.

Alexandrov D., Kalinin A.

There are a lot of high-load systems for searching various information using the Internet. However, such systems havedis advantages and various trade-offs. For example, the search speed may drop, the quality of the search result itself may not satisfy the user, or the search engine may have poor functionality for extracting or filtering data. This paper aims to solve this problem by analyzing existing solutions, considering various approaches and comparing modern frameworks and libraries. The main approaches that will be considered are the possibilities of data caching, searching for batches of information in the database, prioritization of requests, quickly finding similar information, and integrating the proposed solution with cloud platforms. As a result, it will be the service that is not so difficult to add into typical, ready-made systems, where a fast and fault-tolerant algorithm is required to search for information in the database. The service will also be tested in the company customer search system, to show the efficiency and effectiveness of the quick search solution.

Keywords: база данных, service, сервис, кэширование, non-blocking, core native, database indexes, cashing, masking, ТМОВ, динамический поиск, маскировка, служба теневого копирования томов

Publication based on the results of: Formation and Research of Best Practices in the Development of Cloud and Mobile Applications (2023)