A

dynamic mapping

task reduces the number of assets that you need to manage if you want to reuse a parameterized mapping. Instead of creating multiple mapping tasks, you can configure multiple jobs based on the same mapping in one task. Each job can have a different set of parameter values. You can also organize jobs in groups to batch jobs together and set the job run order.

When you create a

dynamic mapping

task, you select the mapping to use. The mapping that you select must contain at least one parameter. Don't use a mapping that contains field mapping parameters for hierarchical data. When you configure the task, you configure the value and scope of each parameter for each job.

Dynamic mapping tasks with a real-time source might delay the completion of other jobs in the same group or subsequent groups. To avoid delayed jobs, use a mapping task for the following scenarios:

Change data capture
Real-time streaming sources, like Kafka
Salesforce connections configured for continuous change data capture

You cannot use CLAIRE tuning with a

dynamic mapping

task.