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This article introduces node-abstract-repository, but it does not include all of its details. You may find the full documentation and some usage examples at this GitHub repository, including an example of how to use this library in a NestJS-based application.
Finally, many database operations return objects of type Optional. This type is inspired in the Java Optional type. Its purpose is to model the concept of "no result". This type is an excellent alternative to returning null objects or throwing an exception. The usage of Optional is safer and clearer than having to specify T | null as result type or having to handle an exception that does not represent an application exceptional condition. So yes, this the feature that makes node-abstract-repository a bit opinionated, but I believe that is worth it.
So we started researching the state-of-the-art and discovered several libraries that could fit our requirements. The best candidates we were able to find were Mongoose, Typegoose, and TypeORM. Mongoose is a well-known Node.js library for MongoDB that implements the Data Mapper pattern and lets developers define schemas to constraint the data models associated with their domain objects. However, Mongoose works with concrete data models, which in a complex domain model scenario results in query logic duplication. Typegoose is a type-safe Mongoose wrapper that allows schema constraint declaration at domain object field level via JS decorators. Unfortunately, those very decorators leak persistence logic into the domain model. Besides, Typegoose also implements the Data Mapper pattern, thus sharing the same drawbacks of Mongoose. TypeORM, on another hand, implements the Repository pattern and provides some basic support for MongoDB. However, TypeORM presents several limitations compared to Mongoose.
So we started researching the state-of-the-art and discovered several libraries that could fit our requirements. The best candidates we were able to find were Mongoose, Typegoose, and TypeORM. Mongoose is a well-known Node.js library for MongoDB that implements the Data Mapper pattern and lets developers define schemas to constraint the data models associated with their domain objects. However, Mongoose works with concrete data models, which in a complex domain model scenario results in query logic duplication. Typegoose is a type-safe Mongoose wrapper that allows schema constraint declaration at domain object field level via JS decorators. Unfortunately, those very decorators leak persistence logic into the domain model. Besides, Typegoose also implements the Data Mapper pattern, thus sharing the same drawbacks of Mongoose. TypeORM, on another hand, implements the Repository pattern and provides some basic support for MongoDB. However, TypeORM presents several limitations compared to Mongoose.
So we started researching the state-of-the-art and discovered several libraries that could fit our requirements. The best candidates we were able to find were Mongoose, Typegoose, and TypeORM. Mongoose is a well-known Node.js library for MongoDB that implements the Data Mapper pattern and lets developers define schemas to constraint the data models associated with their domain objects. However, Mongoose works with concrete data models, which in a complex domain model scenario results in query logic duplication. Typegoose is a type-safe Mongoose wrapper that allows schema constraint declaration at domain object field level via JS decorators. Unfortunately, those very decorators leak persistence logic into the domain model. Besides, Typegoose also implements the Data Mapper pattern, thus sharing the same drawbacks of Mongoose. TypeORM, on another hand, implements the Repository pattern and provides some basic support for MongoDB. However, TypeORM presents several limitations compared to Mongoose.