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Edit an Atlas Data Lake Pipeline
You can make changes to your Data Lake pipelines through the Atlas UI and Data Lake Pipelines API, including:
Edit the data extraction schedule
Edit the data storage region
Change the fields to exclude from your Data Lake datasets
Edit a Pipeline from the Atlas UI
Log in to MongoDB Atlas.
Select Data Lake under Deployment on the left-hand navigation.
Click in the Actions column for the pipeline that you wish to modify.
(Optional) Make changes to your data extraction schedule.
Before making changes to your Basic Schedule, ensure
that your desired data extraction frequency is similar to your
current backup schedule. For example, if you wish to switch to
Daily, you must have a Daily backup schedule configured
in your policy. Or, if you want to switch to a schedule of once a
week, you must have a Weekly backup schedule configured in
your policy. To learn more, see Backup Scheduling.
You can also send a GET request to the Data Lake
availableSchedules endpoint to retrieve the
list of backup schedule policy items that you can use to change
the schedule of your Data Lake pipeline.
(Optional) Make changes to your data storage region.
Atlas Data Lake provides optimized storage in the following AWS regions:
Data Lake Regions | AWS Regions |
|---|---|
Virginia, USA | us-east-1 |
Oregon, USA | us-west-2 |
Sao Paulo, Brazil | sa-east-1 |
Ireland | eu-west-1 |
London, England | eu-west-2 |
Frankfurt, Germany | eu-central-1 |
Mumbai, India | ap-south-1 |
Singapore | ap-southeast-1 |
Sydney, Australia | ap-southeast-2 |
Click Continue.
(Optional) Make changes to the fields excluded from your Data Lake datasets.
Click Add Field and specify Field Name to add fields to the excluded fields list.
Click Delete All to remove all the fields from the excluded fields list.
Click next to a field to remove that field from the excluded fields list.
Click Review Changes to review the changes to your pipeline.
Click Apply Changes for the changes to take effect.
Edit a Pipeline from the API
To edit a pipeline through the API, send a PATCH request to the
Data Lake pipelines endpoint
with the name of the pipeline that you want to edit. To learn more
about the pipelines endpoint syntax and parameters for updating a
pipeline, see Update One Data Lake Pipeline.
Tip
You can send a GET request to the
availableSchedules endpoint to retrieve the
list of backup schedule policy items that you can use to change the
schedule of your Data Lake pipelines of type PERIODIC_DPS.