Jobs and scheduling
A job is a runnable Managed Fusion object that performs a specific activity, such as datasource jobs and Spark jobs. Examples of the activities include:
-
Aggregating signal data
-
Training a shallow neural model and projecting each document onto the resulting vector embedding space
-
Loading data into a data source
Job types
Each job type is a type of Managed Fusion object that you can run or schedule to be run.
|
A job to ingest data according to the specified datasource configuration, such as See Datasource Jobs. |
|
A Spark job to process data, such as See Spark Jobs. |
The Jobs manager
The Jobs manager, available in the Managed Fusion workspace at Collections > Jobs, provides a simple interface for viewing and scheduling jobs. You can also create tasks and Spark jobs here.
You cannot create, run, or schedule datasource jobs in the Jobs manager. You must create them on the Datasources page, in the Index Workbench, or in the Quickstart. To run a datasource job, use the scheduler. |
Additional resources
View our training on Jobs and Scheduling.