How to configure indexes in Prisma

In this comprehensive tutorial, readers are guided through the intricacies of using database indexes to optimize data retrieval processes in large datasets, specifically focusing on their integration within JavaScript applications using Prisma as an Object-Relational Mapping (ORM) tool. The tutorial highlights the importance of database indexes in enhancing performance by enabling quick query execution and reducing the time and resources required for data access within SQL and NoSQL databases. It outlines how Prisma facilitates the configuration of database indexes across various databases like MySQL, SQLite, MongoDB, and others, detailing the syntax and options available for defining indexes, including single, multi-column, and full-text indexes. The tutorial further elaborates on the setup of a JavaScript project utilizing Prisma to demonstrate these configurations, while also cautioning about the potential overhead costs of memory and additional writes when indexes are not managed properly. Throughout, the tutorial emphasizes the balance needed between optimizing data access and managing the impacts on database storage and write efficiency.