title: Configure dynamic number of parameters in Azure Data Factory Pipeline based on intervals?
body: <p>Our usecase requires a configurable input to be passed to a U-SQL script through Azure Data Factory.
  We are evaluating feasibility, and need to automate the number of variables passed to the U-SQL script depending upon the interval of the time slice for the activity.</p>
  
  <p>For example, if the U-SQL script is to be run every 4 hours, it will need to read data from 4 different files, one for each hour. If the interval is changed to 5 hours, we need have a need to automate this so that it will automatically read from 5 different files, without having to update the U-SQL script.</p>
  
  <p>The file path will be in the format: 
  Source\YYYY-MM-DD\hh.csv</p>
  
  <p>Is this dynamicity achievable with the current facilities and set of functions that data factory or data lake provides?
  Or is there a workaround for this so deployment of the data factory pipeline can be automated?  </p>