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Create, View, Drop, and Shard Collections

On this page

  • Required Roles
  • Create a Collection
  • View Collections
  • Drop a Collection
  • Shard a Collection

You can use the Atlas UI to manage the collections in your clusters.

The following table describes the roles required to perform various actions to a database in the Atlas UI:

Action
Required Roles

Create Collections

One of the following roles:

View Collections

Drop Collections

One of the following roles:

Shard Collections

One of the following roles:

Tip

To create the first collection in a new database, see Create a Database.

Important

You cannot create new collections on the config and system databases. Atlas will deprecate writing to existing collections on these databases in the near future.

To create a collection in an existing database through the Atlas UI:

1
  1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

  2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

  3. If it's not already displayed, click Clusters in the sidebar.

    The Clusters page displays.

2

Click the Browse Collections button for your cluster.

The Data Explorer displays.

3

Either select or hover over the database to drop and click on the plus sign + icon.

4

Important

Don't include sensitive information in your collection name.

For more information on MongoDB collection names, see Naming Restrictions.

5

Select whether the collection is a capped collection. If you select to create a capped collection, specify the maximum size in bytes.

6

Select whether the collection is a time series collection. If you select to create a time series collection, specify the time field and granularity. You can optionally specify the meta field and the time for old data in the collection to expire.

7

Upon successful creation, the collection appears underneath the database in the Atlas UI.

To view the databases and collections in the deployment:

1
  1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

  2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

  3. If it's not already displayed, click Clusters in the sidebar.

    The Clusters page displays.

2

Click the Browse Collections button for your cluster.

The Data Explorer displays.

3

Click on the name of the database.

Note

Atlas bases the document count that appears on this tab on cached metadata using collStats. This count might differ from the actual document count in the collection. For example, an unexpected shutdown can throw off the count. Use the db.collection.countDocuments() method for the most accurate document count.

To launch MongoDB Charts to visualize data in your databases and collections.

1
  1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

  2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

  3. If it's not already displayed, click Clusters in the sidebar.

    The Clusters page displays.

2

Click the Browse Collections button for your cluster.

The Data Explorer displays.

3

To visualize data in MongoDB Charts from the Atlas UI, click Visualize Your Data when viewing a specific database or collection. Charts loads the data source and you can start building a chart in the Charts view. For detailed steps, see Build Charts.

To drop a collection, including its documents and indexes, through the Atlas UI:

1

Either select or hover of the collection to drop and click on its trash can icon.

2

Confirm by typing the name of the collection, and click Drop.

If you have large data sets and perform high throughput operations, you can shard a collection to distribute data across the shards.

Note

Before you start, you must have the following:

To shard a collection through the Atlas UI:

1

See Connect via mongosh.

2

To enable sharding, run the following command:

sh.enableSharding("<database-name>")

Example

To enable sharding for the sample_analytics dataset:

sh.enableSharding("sample_analytics")

To learn more, see Enable Sharding for a Database in the MongoDB manual.

3

To create an index on the shard key, run the following command:

db.<collection-name>.createIndex({<shard_key_definition>})

Example

To create an index on the shard key for the sample_analytics.customers collection:

db.sample_analytics.runCommand( { createIndexes: "customers", indexes: [ { key: { "username": 1 }, "name": "usernameIndex" }], "commitQuorum": "majority" } )

To learn more, see:

4

To shard a collection, run the following command:

sh.shardCollection("<database>.<collection>", { "<indexed-field>" : 1 } )

Example

To shard the sample_analytics.customers collection:

sh.shardCollection("sample_analytics.customers",{"username":1})

Warning

If you shard a collection that already has an Atlas Search index, you might experience a brief period of query downtime when the collection begins to appear on a shard. Also, if you add a shard for an already sharded collection that contains an Atlas Search index, your search queries against that collection will fail until the initial sync process completes on the added shards. To learn more, see initial sync process.

To learn more, see Shard a Collection in the MongoDB manual.

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