Development of Music Online Teaching System Based on Distributed Database Search Technology

Abstract

With the continuous advancement of Internet technology, the traditional music teaching model has slowly evolved from offline to online. Nowadays, music platforms no longer focus solely on music but are supplemented by some social functions. Under the current huge market demand, in order to meet the individual needs of different music users, more and more music platforms continue to perform technological updates. Various music platforms have sprung up continuously. Although they provide users with a variety of options, at the same time, users must download corresponding applications to experience each music platform, which brings a certain degree of confusion to users. In order to solve such problems, this article implements a download-free music online education system through PWA. Aiming at the shortcomings of traditional database search engine systems, this article studies the implementation methods of distributed database search engines. First, a search engine architecture based on a cloud database is proposed so that the existing database search engine system can be implemented in the HBase distributed database, thereby improving the efficiency of the search engine. Secondly, a new data preprocessing method is proposed, which improves the data interaction technology between the relational database and the HBase distributed database, and simplifies the project development framework. Subsequently, this paper proposes a multiuser detection algorithm, which can determine duplicate data entries by calculating keyword similarity to improve the accuracy of search results. This paper promotes the development of music teaching by integrating a multiuser detection algorithm and distributed database search technology and applying it to the construction of music teaching online system.