A

masking

task with data filters performs different steps including staging data, subset computation, load to target, and drop staging tables. If a task fails at any of the steps, it continues from the point of failure when you restart the task.

For example, you configure a

masking

task with data filters and run the task. The task fails at the load to target step. If you restart the task at a later date, it skips the steps of data staging and subset computation. You want to rerun the task, but you want to ensure that the subset computation is accurate and includes any changes to the data. If the task skips the staging and subset computation steps, it uses the estimation and staged tables from the previous failed task run.

You might want to restart a failed task from the first step if you reinstall the staging database or the database file is corrupted and you use a different staging database. The staged files are not available on the new installed or different database. If you restart a task that failed at the load to target step, the task restarts from the same step but cannot access the previous staged tables. The task fails again. In such cases, reset the task before you restart the task. The status returns to start and when you restart the task, it stages and estimates the data again.

Choose to reset the task before you restart the task. The reset returns the task status to Start. When you restart the task, the task starts from the first step. It performs all steps of staging, subset computation, load to target, and drop staging tables, based on how you configure the task.

You can reset

masking

tasks that have different source and target connections and include data filters. Tasks that use the same source and target or do not include data filters do not require subset computation or staging tables.