When working with MongoDB, you can leverage BSON to handle complex operations, such as converting BSON to Excel format, allowing for easy analysis and reporting. BSON serves as the bridge between MongoDB and other applications, enabling seamless data exchange and manipulation. In addition to its flexibility and scalability, MongoDB offers the convenience of utilizing BSON (Binary JSON) for efficient communication with the stored data. These documents are stored in collections, analogous to how tables work in relational databases. MongoDB stores its data as objects which are commonly identified as documents. MongoDB is known for its scalability, ease of use, reliability & no compulsion for using a fixed schema among all stored documents, giving them the ability to have varying fields (columns). MongoDB is a popular high-performance NoSQL database that enables you to store your data in a non-relational format. Introduction To MongoDB Image Source: Wikimedia So, whether you’re a beginner or an experienced user, read on to learn more to export MongoDB to Excel. Our easy step-by-step guide will show you how to export your MongoDB documents to the data warehouse/database of your choice in CSV or Excel format and perform insightful analysis. One of the most popular methods is to use the MongoDB export query result to CSV feature, which allows you to export your data in a structured format that can be easily imported into Excel.Īnother useful tool is the MongoDB to Excel export feature, which enables you to generate Excel files directly from your MongoDB databases. However, with the right tools and techniques, you can make the process seamless and efficient. We understand that exporting data from MongoDB can be a daunting task, especially if you have a large dataset. In this blog, we will provide you with comprehensive information about how to export MongoDB to Excel and CSV formats. Method 2: Using Tools Such As Studio 3T.2 Easy Methods: Export MongoDB To Excel & CSV.Try to export "listingsAndReviews" from sample_airbnb (or any other collection where a document object contains properties in some cases and no properties in others)Įxport of collection into a JSON file.Load the sample data set into your cluster.In both cases Compass exports all the data. In the example above by either unticking "review_scores" or all of review_scores's properties listed in dot notation. It operates on version 1.24.1.įurthermore, you can circumvent this issue by either unticking the object field in the export settings window or by unticking all the individual object properties. On my private mac this issue does not occur. We tested the behavior on two devices operating on Compass version 1.26.0 accessing different clusters. Compass thereby does not comply with the mongoDB Path Collision Restrictions introduced in mongoDB 4.4 ( ). In the airbnb case it includes "review_scores" and "review_scores.review_scores_accuracy" etc. Should an object contain properties in some documents and none in others, the export function provides an export field for the object in general as well as a field for each object property. For example, the error currently pops up when trying to export the "listingsAndReviews" collection of the airbnb sample record. The reason for this is a self-inflicted path collision error (see picture 1). This error occurs when a certain object contains properties (/fields and values) in some documents and is empty in others. The collection export function of Compass 1.26.0 is faulty.
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