Mongodb Compass UI tutorials and examples

This tutorial explains Mongo Compass UI tutorials with examples

Mongodb Compass is a UI for Visually managing MongoDB documents and collections

Compass comes with a Mongodb Installation pack. You can also install it separately

#What is MongoDB Compass UI

MongoDB Compass UI is a Client to manage collections, databases, and documents.

Features

• Manage Connections to connect to multiple MongoDB databases
• List Create, and Modify a Database and Collection
• Performance Metrics such as Read, Write, Network and Memory monitor
• Query MongoDB database collection using queries and aggregations pipeline
• Construct pipeline stages in Aggregations
• View indexes and Schema validation
• In-built Mongo Shell support to run command line javascript queries
• Export Collection to JSON and CSV
• Import JSOn and CSB into collection

#How to Connect to Server in Mongo Compass UI

Open Mongo Compass UI

• Create a New Connection Button on it
• Connection window, enter URI details

URI is a connection string for the MongoDB server. URI: mongodb://localhost:27017 mongodb is a protocal localhost is the server hostname 27017 is a Server port

You can change all these details

• Next, Click on the Save & Connect button
• It asks string name to save this as a connection
• local-connection name given Popup
• It connected to the MongoDB Server, Shown in the below screen

• It shows all the database of a Server
• Also, There is an Icon bottom right to open Mongo Queries

#How to Query Documents by ObjectId in MongoDB Compass UI

In MongoDB Compass, You can do it in Multiple ways

The first way is using the Query UI pane.

• Open MongoDB Compass and connect to Server

• Open collection

• in the Filter Search Query, Add the below check

  {_id:ObjectId('5a9427648b0beebeb69579cc')}
  

• Click on the Find button, and display the result in the Result Window.

Second way,

• Open the MONGOSH shell in Compass, MONGOSH is located in the bottom right icon

• Next Run the below commands to select the database

>>>use moviesdb;
switched to db moviesdb
>>>show collections;
comments
movies
sessions
theaters
users

• Next run the below command

db.users.find() search collection with given filter. Filter is an objectid.

>>>db.users.find({'_id': ObjectId('59b99db4cfa9a34dcd7885b6')});
{
  _id: ObjectId("59b99db4cfa9a34dcd7885b6"),
  name: 'Ned Stark',
  email: '[email protected]',
  password: '$2b$12$UREFwsRUoyF0CRqGNK0LzO0HM/jLhgUCNNIJ9RJAqMUQ74crlJ1Vu'
}