This version of the documentation is archived and no longer supported. To learn how to upgrade your version of MongoDB Ops Manager, refer to the upgrade documentation.
You were redirected from a different version of the documentation. Click here to go back.
This version of the manual is no longer supported.

Aggregation Pipeline Builder

The Data Explorer provides an aggregation pipeline builder to process your data. Aggregation pipelines transform your documents into aggregated results based on selected pipeline stages.

The MongoDB Atlas aggregation pipeline builder is primarily designed for building pipelines, rather than executing them. The pipeline builder provides an easy way to export your pipeline to execute in a driver.

To access the Data Explorer:

  1. Click Deployment in the left navigation.
  2. Select the desired MongoDB deployment.
  3. Select the Data Explorer tab.

Required Roles

To create and execute aggregation pipelines in the Data Explorer, you must have been granted at least the Project Data Access Read Only role.

To utilize the $out stage in your pipeline, you must have been granted at least the Project Data Access Read/Write role.

Access the Aggregation Pipeline Builder


Select the database for the collection.

The main panel and Namespaces on the left side list the collections in the database.

Screenshot highlighting databases in Data Explorer.

Select the collection on the left-hand side or in the main panel.

The main panel displays the Find, Indexes, and Aggregation views.


Select the Aggregation view.

When you first open the Aggregation view, the Data Explorer displays an empty aggregation pipeline.

Initial view of aggregation pipeline builder.

Create an Aggregation Pipeline


Select an aggregation stage.

Select an aggregation stage from the Select dropdown in the bottom-left panel.

Screenshot showing selecting a pipeline stage.

The toggle to the right of the dropdown dictates whether the stage is enabled.


Fill in your aggregation stage.

Fill in your stage with the appropriate values. If Comment Mode is enabled, the pipeline builder provides syntactic guidelines for your selected stage.

As you modify your stage, the Data Explorer updates the preview documents on the right based on the results of the current stage.

Screenshot showing a pipeline stage result.

Add additional stages to your pipeline as desired.

There are two ways to add additional stages to your pipeline:

  • Click the Add Stage button at the bottom of the pipeline to add a new stage at the end of your pipeline:
  • Click the plus icon button on a stage to add a new stage directly after the stage where the button was clicked.
Screenshot highlighting add stage button.

To delete a pipeline stage, click the trash icon icon on the desired stage.


Repeat steps 1 and 2 for each additional stage.


Use collation to specify language-specific rules for string comparison, such as rules for lettercase and accent marks.

To specify a collation document, click Collation at the top of the pipeline builder.

A collation document has the following fields:

   locale: <string>,
   caseLevel: <boolean>,
   caseFirst: <string>,
   strength: <int>,
   numericOrdering: <boolean>,
   alternate: <string>,
   maxVariable: <string>,
   backwards: <boolean>

The locale field is mandatory; all other collation fields are optional. For descriptions of the fields, see Collation Document.

Import an Aggregation Pipeline from Text

You can import aggregation pipelines from plain text into the pipeline builder to easily modify and verify your pipelines.

To import a pipeline from plain text:


Open the New Pipeline from Text dialog.

  1. Click the arrow next to the plus icon at the top of the pipeline builder.

  2. Click New Pipeline from Text.

    Screenshot opening the new pipeline from text dialog.

Type or paste your pipeline in the dialog.

Your pipeline must match the syntax of the pipeline parameter of the db.collection.aggregate() method.


Click Create New.


Click Confirm in the ensuing dialog.

Reset Your Pipeline

To return your pipeline to the initial blank state, click the plus icon at the top of the pipeline builder.

Export an Aggregation Pipeline to Driver Language

You can use the aggregation pipeline builder to export your finished pipeline to one of the supported driver languages; Java, Node, C#, and Python 3. Use this feature to format and export pipelines for use in your applications.

To export your aggregation pipeline:


Construct an aggregation pipeline.

For instructions on creating an aggregation pipeline, see Create an Aggregation Pipeline.


Click Export to Language at the top of the pipeline builder.


Select your desired export language.

In the Export Pipeline To dropdown, select your desired language.

The My Pipeline pane on the left displays your pipeline in mongo shell syntax.

The pane on the right displays your pipeline in the selected language.


Include import statements, if desired.

(Optional): Check the Include Import Statements option to include the required import statements for the language selected.


Click the Copy button.

Click the Copy button at the top-right of the pipeline to copy the pipeline for the selected language to your clipboard. You can now integrate your pipeline into your application.


Click Close to return to the aggregation pipeline builder.

Aggregation Pipeline Settings

To modify the aggregation pipeline builder settings:


Click the settings icon icon at the top-right of the pipeline builder.

Screenshot highlighting pipeline settings button.

Modify pipeline settings as desired.

You can modify the following settings:

Setting Description Default
Comment Mode

When enabled, the Data Explorer adds helper comments to each stage.


Changing this setting only affects new stages and does not modify stages which have already been added to your pipeline.

Number of Preview Documents Number of documents to show in the preview for each stage. 20

Click Apply to save your changes.