Estimated completion time: 5 minutes
You can run operations using the MongoDB Query Language (MQL) which includes most, but not all standard server commands. To learn which MQL operations are supported, see the MQL Support documentation.
The Atlas Data Lake sample datasets are read-only.
To complete this part of the tutorial, you will need to have completed:
- Part 1: Deploy a Data Lake
- Part 2: Configure Connection for Your Data Lake
- Part 3: Connect to Your Data Lake
- Part 4: Verify Your Database and Collections
You must be connected to your Data Lake with the MongoDB Shell before running the following queries.
Before running the queries, switch to
The following queries use the paths that you added to your Data Lake during deployment. If you added all the paths to the sample datasets, you can run all the queries in the following tabs. If you only added some paths, click and run the queries in the appropriate tabs for the sample dataset paths that you added.
Congratulations! You just set up an Atlas Data Lake, created a database and collections from data stored in an S3 bucket, and queried the data using MQL commands.
For more information on Atlas Data Lake, see Atlas Data Lake.
When you dynamically generate collections from filenames, the number of collections is not accurately reported in the Data Lake view.