1. Log into the ADP console and select "Function" -> "Scheduler" menu.

2. Enter details of the job and click SAVE button.

Name : name of the job (alphabets and numbers only)

Schedule : job execution schedule in Unix-cron style format

Time zone : jobs executed in the specified time zone

Function : specify a Directory or Standalone function

Storage : specify a Storage DataSource, which will be passed to the function

Parameters : Pass parameters to the function in JSON format

• From within a function: Obtained from the adpy.data object
  e.g. adpy.data[“p1”].

Notification : Receive notification by email when a function finishes executing

• Failed : Notification upon execution failure

• Success : Notification when execution succeeds

3. Click on Option and you can also specify execution options

• Retry: Number of times to re-execute the function if it fails to execute (default 0)

• In-place file: Replaces the input file with the output file when a File function is executed (default false)

• All files: Execute Directory functions with all files under the Storage Data Source as the target files to be processed

• File open: Directory Stores the files argument with the corresponding files open when the function is executed (default true)

• Input Encoding: Specify the encoding of input files to be opened by Directory and File functions (default utf-8), conforming to Python encoding

• Output Encoding: Specify the encoding of the output file to be opened by the Directory and File functions (default utf-8), conforming to Python encoding

1. Log into the ADP console and select "Function" -> "Scheduler" menu.

2. Select an operation option from the submenu of the target job from the job list.

• DELETE : Delete the job

• RUN NOW : Immediately execute the job

• PAUSE : Suspend job scheduling

• RESUME : Rescheduling a job

* Jobs that have already started executing can be terminated from the Storage or Function menu.