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.datasource | A job to ingest data according to the specified datasource configuration, such as datasource:movie-db. Datasources are created using the Connector Datasources API or the Managed Fusion UI. See Datasource Jobs. |
spark | A Spark job to process data, such as spark:dailyMetricsRollup-counters. Spark jobs are created using the Spark Jobs API or the Managed Fusion UI. 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
LucidAcademyLucidworks offers free training to help you get started.The Quick Learning for Managing and Scheduling Jobs focuses on how to create, configure, and schedule jobs using the Fusion UI:
LucidAcademyLucidworks offers free training to help you get started.The Course for Jobs and Scheduling focuses on utilizing and managing different job types in Fusion: