Run a Scheduled Data Loading Process on Demand

Running a scheduled data loading process on demand helps you execute data loading processes that are configured to be executed only manually (see Schedule a Data Loading Process for Manual Execution Only). You can also run a regularly scheduled data loading process at any time in between scheduled executions. When run on demand, the processes of the schedule are queued in the GoodData platform and are executed as soon as resources become available.

You can also run a schedule on-demand via the API for executing schedules.

Run a Scheduled Data Loading Process on Demand

Steps:

  1. From the Data Integration Console (see Accessing Data Integration Console), click Workspaces.
  2. Click the name of the workspace that the schedule belongs to.
  3. Click the schedule to open it.
  4. Click Run
      Depending on the type of the schedule you are running, one of the following happens:
    • If you are running a schedule for an Automated Data Distribution process for the datasets with the preselected incremental load mode, you are prompted to confirm the mode, or override it with full load mode (which will completely overwrite data in the datasets) or with loading data for a specific time interval. Confirm your choice. The schedule is queued for execution and is run as platform resources become available.

    • If you are running a regular (non ADD) schedule, the schedule is queued for execution and is run as platform resources become available.

Stop Schedule Execution

To stop a schedule in the middle of execution, click Stop.