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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.
(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 |
(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.
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
.