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Mongoose is schema-based and includes built-in features for query building, validation, and type casting. You can also use business logic hooks to access data. These features make Mongoose an ideal platform for building complex applications. Here are some of the key features of Mongoose:
In addition to applying schema validation at the document level, Mongoose also has an application-level validation system. It tells an application what data types are allowed in a collection and then checks to see if the data meets the criteria defined. You can read more about Mongoose schema validation in the MongoDB blog.
Another advantage of Mongoose is its ability to manage relationships between data models. Its strict schema provides a framework for managing relationships. It also has an easy to use populate() method that replaces specific paths in a collection with documents from another collection. Mongoose also has a convenient save() method. Additionally, it comes with middleware that can simplify the process of building a modular DAL. The middleware available in Mongoose include document, model, aggregate, and query.
Mongoose callbacks use the callback(error, result) pattern. The callback will contain the error document, as well as any results that were returned by the search. If the results did not match the criteria, the application might fail. If you do not want your application to fail, you can check the results in the callback, and daisy-chain it to a new callback with the orFail() method.
Mongoose also provides a way to define the schema for documents in a collection. This allows you to save time while using MongoDB. However, Mongoose does have limitations, and you will need to spend time to get used to it. You should also be aware that Mongoose does not support complex schemas.
Mongoose also supports the creation of Arrays of child properties. These child properties can be included in related schemas. A simple example of this is if you want to create a relationship between an author and a book. If you need to make sure that the document is not duplicated, you can use the ObjectId data type.
In mythology, the mongoose is often depicted as a dangerous animal. While mongooses can be domesticated, the erratic temperament and destructive nature of the animals make them less than ideal pets in some areas. Some people, however, find mongooses useful for removing household vermin.
Mongoose also provides the ability to manage relationships between data objects. Its strict schema and populate() method make it very powerful for managing relationships. Additionally, it has convenient save() methods and middleware. The middleware allows you to build a modular Data Access Layer (DAL). You can use document, model, aggregate, and query middlewares.
Mongooses are small, aggressive, carnivores that live primarily in Africa, southern Asia, and Europe. They are highly territorial and live in burrows. Some species are highly social and secrete scents that communicate reproductive status and mark territory. They are not recommended for pet homes, but they can be useful in destroying vermin in homes.
A mongoDB collection is a collection of documents. It has certain requirements that must be met for each document. These requirements include field name, field value range, and field type. These requirements are described by the schema and model. Mongoose uses these concepts to manage data. A collection object is created by using a mongo shell or native mongoDB nodeJS driver. You can then perform most operations on the collection using collection object methods.
Mongoose also applies schema validation at the application level. This means that it tells an application what types of data are allowed in a collection. It then confirms that the data meet the specified criteria. A sample of a Mongoose schema can be found on the MongoDB blog.
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