Categories: MongoDBNoSQL

MongoDB – Top 10 Most Common Commands for Beginners

This article represents top 10 most commonly used commands for MongoDB beginners. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

Following is the list of these commands:

Following is the list of these commands:

  1. Login into MongoDB: Following command can be used to login into MongoDB database for a particular database. Make sure that the user with credentials such as username and password exists in the database mentioned in place of dbname.
     mongo -u <username> -p <password> --authenticationDatabase <dbname>
     
  2. Show all databases: Once logged in as a user with appropriate role as userAdmin or userAdminAnyDatabase, one can see all the databases using command such as show dbs.
  3. Select Database to work with: In order to start working with a particular database, the command such as use databaseName can be executed.
  4. Authenticate and Logout from Database: When switching to different database using use dbName command, one would require to authenticate using a valid database user for that database. Following command can be used for authentication:
     //
     // Authenticate
     //
     db.auth("username", "password");
     //
     // Logout
     //
     db.logout()
     
  5. List Down Collections, Users, Roles etc.: Following commands can be used to check existing collections, users etc.
     //
     // List down collections of the current database
     //
     show collections;
     db.getCollectionNames();
     //
     // List down all the users of current database
     //
     show users;
     db.getUsers();
     //
     // List down all the roles
     //
     show roles
     
  6. Create a collection: Following command can be used to create a collection. The details on this command can be found on this page, Create Collection in a MongoDB database
     db.createCollection("collectionName");
     
  7. Insert a Document in a Collection: Once a collection is created, next step is to insert one or more documents. Following is a sample command for inserting a document in a collection.
     //
     // Insert single document
     //
     db.<collectionName>.insert({field1: "value", field2: "value"})
     //
     // Insert multiple documents
     //
     db.<collectionName>.insert([{field1: "value1"}, {field1: "value2"}])
     db.<collectionName>.insertMany([{field1: "value1"}, {field1: "value2"}])
     
  8. Save or Update Document: Following command, save, can be used to either update an existing document or insert a new one depending upon the document parameter passed to it. In case, the “_id” is passed matching an existing document, the document is updated. Otherwise, a new document is created. Internally, save method uses either insert or update command
     //
     // Matching document will be updated; In case, no document matching the ID is found, a new document is created
     //
     db.<collectionName>.save({"_id": new ObjectId("jhgsdjhgdsf"), field1: "value", field2: "value"}); 
     
  9. Display Collection Records: Following commands can be used to retrieve collection records:
     //
     // Retrieve all records
     //
     db.<collectionName>.find();
     //
     // Retrieve limited number of records; Following command will print 10 results;
     //
     db.<collectionName>.find().limit(10);
     //
     // Retrieve records by id
     //
     db.<collectionName>.find({"_id": ObjectId("someid")});
     //
     // Retrieve values of specific collection attributes by passing an object having 
     // attribute names assigned to 1 or 0 based on whether that attribute value needs 
     // to be included in the output or not, respectively.
     //
     db.<collectionName>.find({"_id": ObjectId("someid")}, {field1: 1, field2: 1});
     db.<collectionName>.find({"_id": ObjectId("someid")}, {field1: 0}); // Exclude field1
     //
     // Collection count
     //
     db.<collectionName>.count();
     
  10. Administrative Commands: Following are some of the administrative commands which can be helpful in finding collection details such as storage size, total size, overall statistics.
     //
     // Get the collection statistics 
     //
     db.<collectionName>.stats()
     db.printCollectionStats()
     //
     // Latency statistics for read, writes operations including average time taken for reads, writes
     // and related umber of operations performed
     //
     db.<collectionName>.latencyStats()
     //
     // Get collection size for data and indexes
     //
     db.<collectionName>.dataSize() // Size of the collection
     db.<collectionName>.storageSize() // Total size of document stored in the collection
     db.<collectionName>.totalSize() // Total size in bytes for both collection data and indexes
     db.<collectionName>.totalIndexSize() // Total size of all indexes in the collection
     

     

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Share
Published by
Ajitesh Kumar
Tags: mongodbnosql

Recent Posts

Feature Engineering in Machine Learning: Python Examples

Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform…

1 day ago

Feature Selection vs Feature Extraction: Machine Learning

Last updated: 2nd May, 2024 The success of machine learning models often depends on the…

2 days ago

Model Selection by Evaluating Bias & Variance: Example

When working on a machine learning project, one of the key challenges faced by data…

2 days ago

Bias-Variance Trade-off in Machine Learning: Examples

Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…

3 days ago

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…

3 days ago

Cross Entropy Loss Explained with Python Examples

Last updated: 1st May, 2024 In this post, you will learn the concepts related to…

3 days ago