12/6/2023 0 Comments Mongodb compass export dbUnder Select Input File Type, select either JSON or CSV. Step 5: Choose the appropriate file type. Step 4: Select the location of the source data file under Select File. Step 3: Click the Add Data dropdown and select Import File. Step 2: Navigate to your desired collection. Step 1: Connect to the deployment containing the collection you wish to import data into. MongoDB Compass can import data into a collection from either a JSON or CSV file.īefore you can import your data into MongoDB Compass you must first ensure that it is formatted correctly. Then, under Output, choose where to export the file to. If you select JSON, your data is exported to the target file as a comma-separated array. Under Select Export File Type, select either JSON or CSV. Step 5: Choose a file type and export location. Only fields that are checked are included in the exported file. Step 4: Select document fields to include in your exported file. To ignore the query filter and export your entire collection, select **Export Full Collection** and click **Select Fields**. Step 3: Click Collection in the top-level menu and select Export Collection Step 2: Navigate to your desired collection Step 1: Connect to the deployment containing the collection you wish to export data from. If you specify a filter, Compass only exports documents which match the specified query. You can use MongoDB Compass to import and export data to and from collectionsĬompass supports import and export for both JSON and CSV files Import data from CSV or JSON files into your MongoDB database. Click Connect for your desired cluster.Ĭlick the Connect button to navigate to the Compass Home Page. For Atlas, to obtain the connection string URI (we talked about this in the Atlas session): For local database: `mongodb://localhost:27017` Specifying Advanced Connection Options. You can connect your deployments by either: When you open Compass, an initial connection dialog appears: MongoDB Compass is a powerful () (graphical user interface) for querying, aggregating, and analyzing your MongoDB data in a visual environment.Ĭonnect to a MongoDB deployment hosted on MongoDB Atlas, or a deployment hosted locally on your own machine.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |