Azure: dataset wait dependencies in manually created pipelines

Question

I created some simple pipelines in a data factory with various types of related services and datasets. Manually by pressing jsons. But no one is working.

The pipeline created by the master works and has a status of readiness. All manual pipelines have the status Pending: dataset dependencies. What does this mean and how can I fix it?

Answer 1

In addition, you must set the external property of the upstream dataset to true

"external": true, 

Answer 2

From the documentation :

In some scenarios, the ability to produce an output with a frequency different from the frequencies of one or more inputs is required. Factory data supports modeling of these scenarios.

.,.

The output slice for each day depends on 24-hour fragments from entering a data set. Factory data automatically calculates these dependencies by calculating slices of input data that fall into the same time period as the output slice. If any of the input slices .. is unavailable (due to processing occurring in the upstream activity that produces this slice, for example) , the factory data will wait for the input slice to be ready before starting the daily activity to start.

So you are doing something where your input is not available for factory data. Unfortunately, if you are not submitting your JSON pipeline, it is difficult to diagnose the problem.