Hey anonymous user ,
PFB the responses:
- Any reason why you want to create parameters at dataset level?
You can create a pipeline parameter of type: String and leverage it in your copy activity dynamic query
wherein you can format it into ant time format supported by ADF as per your need for comparison - There are 2 aspects:
In case if the pipeline is scheduled one, then whatever parameter value is present in ADF pipeline, it would take it as the default value while execution.
But in case of any manual trigger, you can override the parameter value in case if you want to pass a different value.
You can also leverage Variables in case if you want to update the values intermittently within Pipeline executions - Can you be little clear on this part ???????
- Parameter names can be anything : Test, Testing etc.
There is no restriction on the parameter name being same as the columnnames