- Query analysis in MongoDB

Analyzing queries is a very important aspect to assess the effectiveness of Database and the effectiveness of the designed index. We will explore the two most frequently used
- Atomic Operation in MongoDB

MongoDB does not support Atomic Transaction over multiple Documents. However, it provides Atomic Operations on a single Document. Therefore, if a Document has hundreds of fields,
- Advanced index operation in MongoDB

Create an index on the array ie create separate indexes for each of its fields. So in this situation, when we create an index on the array of tags, individual indexes will be
- Limitations of indexes in MongoDB

Each index not only occupies part of the memory space but also causes an overhead on each insert, update, and delete operation. So, if you rarely use your Collection for read
- Map Reduce in MongoDB

In MongoDB Documentation, Map-Reduce is a data processing system that condenses a large amount of data into useful overall results. MongoDB uses mapReduce command for Map-Reduce
- Text Search in MongoDB

Starting with version 2.4, MongoDB started supporting Text Indexes to search within the string content.
- Regular Expression in MongoDB

Regular Expression is used frequently in all languages to search for a pattern or a word in any string. MongoDB also provides Regular Expression to match Pattern matching in
- Working with Rockmongo

Rockmongo is a MongoDB management tool. Using it, you can manage your Server, Database, Collection, Document, Index, .... It provides a very friendly way for users to read, write
- Auto-Increment Sequence in MongoDB

MongoDB does not have the auto-increment out-of-the-box feature like SQL Database. By default, it uses a 12-byte ObjectId for the _id field as the Primary key to uniquely identify
- GridFS in MongoDB

GridFS is the MongoDB Specification for storing and collecting large files such as images, audio, video files, etc. It is a type of file system to store files but its data is
- Capped Collection in MongoDB

Capped collections are fixed-sized Circular Collection that follow the insert order to enhance the performance of create, read, and delete operations.
- Overview of MongoDB

MongoDB is a cross-platform database, operating on the concepts of Collection and Document, it provides high performance, high availability and easy scalability.
- Advantages of MongoDB

Any Relation Database has a unique Schema Design to index the data tables and relationships between those tables. Meanwhile in MongoDB there is no concept of relationship.
- Install MongoDB

Instructions for installing MongoDB on Windows.
- Data modeling in MongoDB

Data in MongoDB has a flexible Schema. Documents in the same Collection need not have the same set of fields or structures, and common fields in Collection Documents can keep
- Create Database in MongoDB

The use DATABASE_NAME command in MongoDB is used to create the database. This command will create a new database, if it does not exist yet, otherwise, this command will return the
- Delete Database in MongoDB

The db.dropDatabase () command in MongoDB is used to delete an existing database.
- Create Collection in MongoDB

Method db.createCollection (name, options) in MongoDB is used to create Collection.
- Delete Collection in MongoDB

The db.collection.drop () method in MongoDB is used to delete a Collection from the database.
- Data type in MongoDB

MongoDB supports many different data types. The following are some typical data types.