Then we have a list of our indexes, for Name, _id, and email. Here we have a “CREATE INDEX” Button, which is used to create indexes. In the following screenshot, we have three indexes that already exist. Just like queries and aggregation pipelines can be created and executed with a compass, Creating and Deleting Indexes for MongoDB Collection, is easy with Compass. This is equal to db.educba.find() query on the shell. Aggregation Pipelines can be created and executed over the compass as easily as any normal query.Įxample: In the below image, we have created a simple query to find records or documents, which consists of Pune as a city, and as a result, we have 2 records. QueryĬreation and execution of queries can be done with the Compass interface. Let us now Define and understand every feature that compass offers: 1.
That being said, Compass comprises amazing features that make it more likely to be implemented for production uses. Features of MongoDB Compassīasically, Compass itself is an advantage and a reason to use MongoDB. Upon execution, whatever the result is, it reflects the result of the graphical visualization. Every time we build and execute a query on the compass, it interprets the query into the command line query and executes it. Every collection and documents can be reflected and manipulated. How does MongoDB Compass Work?īasically, Compass is a GUI for what we have within our MongoDB Database.
Introduced with MongoDB 3.2, Compass is a graphical tool to understand the data in an easy way and interact with the database without queries. But with MongoDB’s Compass, we now have multiple ways to understand the data and manipulate it without any knowledge of shell commands. You can certainly execute queries and understand the structure, but it was only possible for developers with MongoDB knowledge. Why do we Need MongoDB Compass?įlexible schema and JSON like Document storage, provided by MongoDB, is a really great tool for developers to build applications over the database and work as a kind of obstacle to understand the structure of the database. Managing Indexes and the implementation of Document Validation is also effectively done by Compass. Other than being able to read data, Compass allows you to present the data visually. It will connect the currently active instance of running MongoDB to the compass, and the data can be visualized. To connect the MongoDB Compass to the active MongoDB Instance, we have to fill in the above image’s details and then connect. Below is a screenshot of Compass’s Connect Page.
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