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Trigger Data Ingestion On Demand
You can manually trigger an ingestion of snapshot data from the Atlas cluster to Atlas Data Lake datasets if you configured On Demand extraction in your Data Lake pipeline. You can trigger data ingestion from the Atlas UI and Data Lake Pipelines API.
Trigger Data Ingestion from the Atlas UI
Log in to MongoDB Atlas.
Select Data Lake under Deployment on the left-hand navigation.
Click the vertical ellipsis () for the Data Lake for which you configured On Demand ingestion and select Trigger an On Demand Pipeline Run.
Select the snapshot, from which to ingest data, from the dropdown.
The dropdown shows a list of all the snapshots on your Atlas cluster. However, you can select only the snapshots from which Data Lake hasn't yet ingested data; the grayed-out snapshots are snapshots from which your Data Lake has already ingested data.
You can also send a GET request to the Data Lake availableSnapshots endpoint to
retrieve the list of backup snapshots that you can use to trigger
an on-demand pipeline run. To learn more about the API syntax
and options for the availableSnapshots endpoint, see
Return Available Backup Snapshots for One Data
Lake Pipeline.
Click Confirm.
Atlas displays a blue banner at the top of the page that shows the data ingestion status.
Trigger Data Ingestion from the API
To trigger data ingestion through the API, send a POST request
to the Data Lake trigger
endpoint with the name of the pipeline for which you want to trigger
data ingestion. To learn more about the API syntax and parameters for
the trigger endpoint, see Trigger On-Demand Snapshot
Ingestion.
Tip
You can send a GET request to the Data Lake availableSnapshots endpoint to retrieve
the list of backup snapshots that you can use to trigger an
on-demand pipeline run. To learn more about the API syntax and
options for the availableSnapshots endpoint, see
Return Available Backup Snapshots for One Data Lake
Pipeline.