![]() ![]() Create a new Class under Services/CustomerService. Let’s start building a service that can perform CRUD operations over the Customer Collection. Here is a small sample of the how the object get’s saved in MongoDB. How can I run such an SQL query in MongoDB Compass select subject,count () from books group by subject mongodb nosql mongodb-compass Share Follow asked at 7:16 AVEbrahimi 16.3k 19 88 195 Please show your schema as well. In this practice you are required to explore data and write some queries to retrieve data. Everything is run via docker and works fine. The practice purpose is to become familiar with MongoDB Compass tool. It can be installed on Linux, Mac, or Windows. Use Compass to visually explore your data, run ad hoc queries, perform CRUD operations, and view and optimize your query performance. Here the data of the user as well as the address data will be stored in a single JSON object, which ultimately makes it much simpler and quicker to retreive the data. It is freely available on the MongoDB website. As mentioned earlier, Document databases work with JSON objects. Let’s see how a Document based NOSQL Db can handle it. Right? Although this can be easily queried with a single INNER JOIN, what happens when the complexity increases or the number of users grow drastically? It would not be recommended to make several Joins. The Address table will include fields like AddressId, UserId, Country, PhoneNumber where UserId is a foreign key relationship to the User table. Users table will include fields like UserId, FirstName, LastName, DateofBirth. Make 2 tables, namely dbo.Users and dbo.Adresses. Here is the ideal way to design it on a SQL Database. ![]() The user will have fields like FirstName, LastName, Date Of Birth, multiple addresses etc. The requirement is to design a datastore to store the data of User. To get a better understanding, let’s take a very simple example. Caching is a perfect use case of such databases. ![]() This is an excellent choice when you want to store tons of data that are very simple like user preferences, application language texts, country informations. For more information about running scripts and setting execution policy.
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