Export Pipeline to Specific Language

The new Data Explorer user interface is available in Public Preview and includes new features that weren't present in the old interface. To learn more, see Preview Features.

You can use the Aggregation Pipeline Builder to format and export finished pipelines. You can export pipelines to a chosen language to use in your application.

About this Task

You can export your pipeline to the following languages:

C#
Go
Java
Node
PHP
Python
Ruby
Rust

Steps

In Atlas, go to the Data Explorer page for your project.

If it's not already displayed, select the organization that contains your project from the Organizations menu in the navigation bar.
If it's not already displayed, select your project from the Projects menu in the navigation bar.
In the sidebar, click Data Explorer under the Database heading.
The Data Explorer displays.

Note

You can also go to the Clusters page, and click Data Explorer under the Shortcuts heading.

Click Export to Language

Select the collection.
In the aggregation pipeline pane, click the Export to Language button to open the pipeline export card.

click to enlarge

Select your export language

On the right side of the card, click the drop-down menu under Exported Pipeline and select your desired programming language.

The My Pipeline pane on the left of the export card displays your pipeline in mongosh syntax. The Exported Pipeline pane to the right displays your pipeline in the selected programming language.

(Optional) Include import statements

Click the Include Import Statements checkbox to include the required import statements for the selected programming language.

(Optional) Include driver syntax

Click the Include Driver Syntax checkbox to include application code for the selected programming language. If you include driver syntax, the copyable code reflects project, sort, maxtimems, collation, skip and limit options.

Click

Click the icon at the top-right of the pipeline to copy your pipeline for the selected programming language. You can now integrate and execute your created pipeline in your application.

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