How To Delete a Document in MongoDB?

We often are required to delete the data that we insert into our database.

Deleting a record or a document in MongoDB is a very common operation that involves removing data from the database. In MongoDB, you can use two methods to delete the record. These are deleteOne() or deleteMany() methods. We can use either of them depending on whether we want to delete a single document or multiple documents from the database that match our criteria.

deleteOne() Method:  This method is used when we want to delete a single document from the database. This method takes a query parameter and matches it with all the subsets and whichever record has the same subset value as passed in the query, it gets deleted. 

You can add more optional parameters in the options attributes in this method.

await List.deleteOne({task: "hello"});
Code language: CSS (css)

In the above line of code, List is the name of the database. The parameter passed here is the “task” parameter. Mongodb will delete the document whose “task” subset is equal to “hello”. We can pass another parameter separated with the comma that will be considered as the second parameter.

deleteMany() Method: This method is used when we want to delete more than one document from the database. This function also takes the query parameter and deletes all the records that match with the query passed.

const query = { title: { $regex: "Hello" } }; const result = await List.deleteMany(query);
Code language: PHP (php)

In the above code, all the documents where the title subset contains “Hello”, will be deleted.

findOneandDelete()

This is another method to delete the document. It works the same way as the deleteOne() method. The only difference is that this method returns the details of the deleted document. Therefore this method is used when we want to know the deleted document’s data.

let deletedtask =  await List.findOneAndDelete({task: “hello”}); console.log(deletedtask);
Code language: JavaScript (javascript)

In this example, the method used first finds the record that matches the query, returns the details of that document, and deletes it.

Conclusion

With this information, you can delete the documents from your MongoDB and use the appropriate methods to do so. This blog talks about 3 deleting methods and all are important to know provided with the specific requirements. You can use the deleteOne() method if a single document is to be deleted or the deleteMany() method if multiple documents are to be deleted.  

If you want to delete and want the details of the deleted document, you should use findOneAndDelete(). Hope you got a fair idea on the same.


Posted

in

by

Recent Post

  • Mastering Merge Sort: A Comprehensive Guide to Efficient Sorting

    Are you eager to enhance your coding skills by mastering one of the most efficient sorting algorithms? If so, delve into the world of merge sort in Python. Known for its powerful divide-and-conquer strategy, merge sort is indispensable for efficiently handling large datasets with precision. In this detailed guide, we’ll walk you through the complete […]

  • Optimizing Chatbot Performance: KPIs to Track Chatbot Accuracy

    In today’s digital age, chatbots have become integral to customer service, sales, and user engagement strategies. They offer quick responses, round-the-clock availability, and the ability to handle multiple users simultaneously. However, the effectiveness of a chatbot hinges on its accuracy and conversational abilities. Therefore, it is necessary to ensure your chatbot performs optimally, tracking and […]

  • Reinforcement Learning: From Q-Learning to Deep Q-Networks

    In the ever-evolving field of artificial intelligence (AI), Reinforcement Learning (RL) stands as a pioneering technique enabling agents (entities or software algorithms) to learn from interactions with an environment. Unlike traditional machine learning methods reliant on labeled datasets, RL focuses on an agent’s ability to make decisions through trial and error, aiming to optimize its […]

  • Understanding AI Predictions with LIME and SHAP- Explainable AI Techniques

    As artificial intelligence (AI) systems become increasingly complex and pervasive in decision-making processes, the need for explainability and interpretability in AI models has grown significantly. This blog provides a comprehensive review of two prominent techniques for explainable AI: Local Interpretable Model-agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP). These techniques enhance transparency and accountability by […]

  • Building and Deploying a Custom Machine Learning Model: A Comprehensive Guide

    Machine Learning models are algorithms or computational models that act as powerful tools. Simply put, a Machine Learning model is used to automate repetitive tasks, identify patterns, and derive actionable insights from large datasets. Due to these hyper-advanced capabilities of Machine Learning models, it has been widely adopted by industries such as finance and healthcare.  […]

  • Mastering Conversational UX: Best Practices for AI-Driven Chatbots

    In today’s digital landscape, where customer engagement reigns supreme, traditional marketing strategies are giving way to more interactive and personalized approaches. The rise of conversational interfaces, often powered by Artificial Intelligence (AI) and Natural Language Processing (NLP), has transformed how businesses interact with their audiences. Whether through AI-driven chatbots on websites, virtual assistants on mobile […]

Click to Copy