- The imported dataset in flow #2 is not refreshed until you run the job that generates it in flow #1.
- If the output of flow #1 uses the same filename each time, you may not know if the data has been refreshed. When the job is executed in flow #2, it collects the source imported dataset and executes, whether the data is new or not. Workarounds:
- In flow 2, you can create a parameterized dataset, which collects source data, with some variation in parameters. As long as the output of flow #1 follows the naming convention for the parameterized dataset for flow #2, you should be able to run the job on fresh data on-demand. For more information, see Overview of Parameterization.
- After the job in flow #2 executes, rename or remove the output of flow #1 from its target location. That way, whenever job #2 executes again, any data that it collects from the source location is likely to be newer.
See Job Details Page.