When using MongoDB, there’s more than one way to list the collections in a database.
Here are four ways to get a list of collections in a MongoDB database:
show collections CommandlistCollections Commanddb.getCollectionNames() Methoddb.getCollectionInfos() MethodMany update operations in MongoDB have the potential to be upserts. An upsert is a combination of an insert and an update.
It works like this: You perform an update operation based on filter criteria, and if there are any matches, only the matched documents are updated, but if there are no matches, then a new document is inserted.
Continue readingWhen you create a database in MongoDB, your database is basically an empty container for which you can add one or more collections to.
A collection is analogous to a table in relational databases.
In relational databases, you can use CREATE TABLE to create each table that you want in the database.
But MongoDB is not a relational database, and it stores its data as documents. Each document is stored in a collection.
This article shows you how to create a collection in MongoDB.
Continue readingMongoDB doesn’t have a CREATE DATABASE statement like SQL does.
In MongoDB, you create a database simply by switching to a non-existent database, then inserting data.
Continue readingMongoDB is a general purpose, document-based, distributed data platform built for modern application developers and for the cloud.
MongoDB is classified as a NoSQL database. It uses JSON-like documents with optional schemas.
You can use MongoDB as a cloud deployment, or as an on-premise installation.
In this tutorial, I install it as an on-premise installation using the MongoDB Community Edition on Windows.
Continue readingMongoDB is a general purpose, document-based, distributed data platform built for modern application developers and for the cloud.
MongoDB is classified as a NoSQL database. It uses JSON-like documents with optional schemas.
This tutorial shows you how to install MongoDB on a Mac via Homebrew.
Continue readingNoSQL databases are often categorised under four main types. Some databases are a mix between different types, but in general, they fit under the following main categories.
A column store database is a type of database that stores data using a column oriented model.
A column store database can also be referred to as a:
A document store database (also known as a document-oriented database, aggregate database, or simply document store or document database) is a database that uses a document-oriented model to store data.
Document store databases store each record and its associated data within a single document. Each document contains semi-structured data that can be queried against using various query and analytics tools of the DBMS.
A key-value database (also known as a key-value store and key-value store database) is a type of NoSQL database that uses a simple key/value method to store data.
The key-value part refers to the fact that the database stores data as a collection of key/value pairs. This is a simple method of storing data, and it is known to scale well.