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Mongodb compass and query
Mongodb compass and query












mongodb compass and query

Introducing Map and Geo Query FeaturesĪnother powerful feature for Compass v1.3 is the ability to see and understand geographical data. You can edit any fields or types before inserting the document. Compass will clone all the elements of the document, except for _id where a new _id will be generated.Ī new window will appear with the cloned document that contains the same values and fields as the original. Once in edit mode, users can freely edit any value, field, or data type.ĭeleted fields are marked in red, while new fields are highlighted in green.Īny changes made will not be sent to the server until the user confirms the edits by clicking UPDATE.ĭocuments can also be easily inserted into MongoDB by clicking the + INSERT button at the top of the document list.Ĭlicking + INSERT will open up a new window where a user can modify the contents of the document to be inserted.ĭeleting documents is straightforward as well – users can click the trash icon at the top right corner of the document in the document list to delete a document.Ī document can be cloned by clicking on the clone icon within the document. Clone the schema and values of an existing documentĮditing a document is simple - documents are modified through a powerful editing visualizer.Ĭlicking on the pencil icon puts the document in edit mode.With Compass v1.3, users will be able to: The most requested feature in our beta program was the ability to edit/insert/delete documents. Let’s take a closer look at these features in a little more detail. SSH tunnels to allow users to connect securely from outside of a datacenter firewall.Visual explain plans to understand the performance of a query.Build and visually interact with geo/coordinate data to construct queries in a few clicks of a button.Insert/edit/delete/clone documents through the GUI.Today, we are very excited to introduce Compass v1.3, currently available in beta.Ĭompass v1.3 contains many new features, including: Users are not only able to determine which fields are indexed, but also their type, size, usage, and properties of their indexes. The figure below highlights the details of indexes in a collection. In Compass v1.2, which is now in GA, we added the ability to visualize indexes and query performance. The three most requested features were: edit/insert/delete operations, visualization of indexes, and visualization of query performance. Evolution of Compassĭuring our beta program for Compass, we received a lot of great feedback. MongoDB Compass provides a native GUI to analyze collections and beautifully visualize your schema. With MongoDB 3.2, we answered our users with MongoDB Compass v1.0 - a GUI schema visualization tool and query builder. Over the past couple of years, we have received an overwhelming number of requests for a schema visualizer and query builder. Through meetups, community events, surveys, conferences - just to name a few - we collect user feedback to ensure we continue to build products that address and solve the needs of our users. MongoDB 3.2 Introduces Compass v1.0Īt MongoDB our user community is extremely important to us. In this post, we'll take a closer look at MongoDB Compass and our latest release, which adds CRUD capabilities and a long list of other exciting features.

mongodb compass and query

Our goal with Compass is to provide all the power of the mongo shell through an intuitive, easy to use GUI. In MongoDB 3.2 we introduced MongoDB Compass - our GUI for MongoDB. While the shell is incredibly powerful, it can be intimidating for new users, and let's face it - there are lots of things about managing data and a database that are easier to do with a GUI. Here is an image of what I'm talking about, placing this filter in MongoDb Compass, it indicates that the filter is incorrect.Since the inception of MongoDB, the primary interface to the database has been the mongo shell. I have what should be a fairly simple query I'm trying to run in mongodb compass: Īgain, it works fine without the $not.














Mongodb compass and query