Database

MongoDB database contains lots of documents. Sometimes the documents have documents in them. These documents may further contain more documents hence forming a complex structure.  Querying uncomplicated documents is straightforward and we have already covered how to query MongoDB documents in another article: NodeJS MongoDB Query. However, the complex structure sometimes results in difficulty in […]

People are usually confused about which to choose MongoDB or MySQL. Well, here is the moment of truth. MongoDB provides us with so many useful operators that you can perform any type of action using them. Whether it is extremely simple or exceptionally complex, you can easily find an operator for it. We have covered

As we know, MongoDB documents have the ability to possess arrays as field values, these arrays may enclose multiple elements. The $size operator can clubbed with other MongoDB methods like find(), findOne(), etc to filter documents based on the number of elements inside an array. In this article, we will explore the $size operator and

You must have seen that in all our articles we have mentioned the date of publishing the article right after the title. Let’s say you are also developing an application and using MongoDB as the database for your app. Now you also want to create functionality to track the current date when a particular event

MongoDB lets us create multiple users. A user can create multiple databases. A database can have multiple collections. A collection can have multiple documents. We already know how to get documents from a collection in Mongo Shell. It can be done by using find(), findOne(), like method.  However, as a beginner, we don’t usually log

We all have heard how to do pretty print in MongoDB. It is used to format the query results with a proper indentation and log more readable output. We usually do it in Mongo Shell using the pretty() function.  Even we have a dedicated article on it: Pretty Print in MongoDB, where we have shown

Suppose you have a collection of students containing lots of documents having indexes like Name, Age, Class, etc. One of the indexes or attributes in the documents is Optional Subject. For context, an optional subject is a subject people choose beyond the regular curriculum subjects.  So you want to filter students having Computer Science, Physical,

MongoDB is used to store huge amounts of records in the form of documents having different fields. Now suppose, a school using MongoDB for storing its student record has a collection of students, this collection contains hundreds of documents of students with different fields like Name, Class, Age, etc. Now for the vaccination school wants

Databases have changed the way individuals and corporations handle and manage large amounts of data. It has enabled app developers, software engineers, data scientists and others to make life simpler than ever before. MongoDB, DynamoDB, PostgreSQL, MySQL, Cassandra, Redis, Aerospike, Firebase Realtime and others are well-known databases. We can divide these databases into two categories:

MongoDB is one of the most famous NoSQL databases among developers for storing huge amounts of data in the form of documents. We can easily do CRUD (Create, Read, Update, Delete) operations using different methods in a MongoDB database. In this article, we will particularly focus on print document values in the Mongo shell, i.e.,