Views
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A MongoDB view is a read-only queryable object whose contents are defined by an aggregation pipeline on other collections or views.
MongoDB does not persist the view contents to disk. A view's content is computed on-demand when a client queries the view.
Note
Disambiguation
This page discusses standard views. For discussion of on-demand materialized views, see On-Demand Materialized Views.
To understand the differences between the view types, see Comparison with On-Demand Materialized Views.
You can create materialized views in the UI for deployments hosted in MongoDB Atlas.
Use Cases
You can use views to:
Create a view on a collection of employee data to exclude any personally identifiable information (PII). Your application can query the view for employee data that does not contain any PII.
Create a view on a collection of sensor data to add computed fields and metrics. Your application can use
find operations
to query the computed data.Create a view that joins two collections containing inventory and order history. Your application can query the view without managing or understanding the underlying pipeline.
Create and Manage Views
To learn how to create and manage views, see the following resources:
Comparison with On-Demand Materialized Views
MongoDB provides two different view types: standard views and on-demand materialized views. Both view types return the results from an aggregation pipeline.
Standard views are computed when you read the view, and are not stored to disk.
On-demand materialized views are stored on and read from disk. They use a
$merge
or$out
stage to update the saved data.
Indexes
Standard views use the indexes of the underlying collection. As a result, you cannot create, drop or re-build indexes on a standard view directly, nor get a list of indexes on the view.
You can create indexes directly on on-demand materialized views because they are stored on disk.
Performance
On-demand materialized views provide better read performance than standard views because they are read from disk instead of computed as part of the query. This performance benefit increases based on the complexity of the pipeline and size of the data being aggregated.
Behavior
The following sections describe behavior specific to views.
Read Only
Views are read-only. Write operations on views return an error.
Snapshot Isolation
Views do not maintain timestamps of collection changes and do not support point-in-time or snapshot read isolation.
View Pipelines
The view's underlying aggregation pipeline is subject to the 100 megabyte memory limit for blocking sort and blocking group operations.
Starting in MongoDB 6.0, pipeline stages that require more than 100
megabytes of memory to execute write temporary files to disk by
default. These temporary files last for the duration of the pipeline
execution and can influence storage space on your instance. In earlier
versions of MongoDB, you must pass { allowDiskUse: true }
to
individual find
and aggregate
commands to enable this
behavior.
Individual find
and aggregate
commands can override the
allowDiskUseByDefault
parameter by either:
Using
{ allowDiskUse: true }
to allow writing temporary files out to disk whenallowDiskUseByDefault
is set tofalse
Using
{ allowDiskUse: false }
to prohibit writing temporary files out to disk whenallowDiskUseByDefault
is set totrue
Note
For MongoDB Atlas, it is recommended to configure storage auto-scaling to prevent long-running queries from filling up storage with temporary files.
If your Atlas cluster uses storage auto-scaling, the temporary files may cause your cluster to scale to the next storage tier.
Time Series Collections
Time series collections are writable non-materialized views. Limitations for views apply to time series collections. For more information, see Time Series Collection Limitations.
You cannot create a view from a time series bucket collection namespace (namely, a collection prefixed with
system.buckets
).
Warning
Do not attempt to create a time series collection or view with the
name system.profile
. MongoDB 6.3 and later versions return an
IllegalOperation
error if you attempt to do so. Earlier MongoDB
versions crash.
Access Control
If the deployment enforces authentication:
To create a view, you must have the
createCollection
privilege on the database that the view is created. Additionally, if you have thefind
privilege on the namespace of the view you want to create, you must also have thefind
privilege on the following resources:The source collection or view from which the new view is created.
Any collections or views referenced in the view pipeline.
To query a view, you must have the
find
privilege on the view namespace. You don't need thefind
privilege on the source collection or any namespaces referenced in the view pipeline.
A user with the built-in readWrite
role on the database
has the required privileges to run the listed operations. To grant the
required permissions, either:
Create a user with the required role.