Difference between revisions of "File Type Data Jobs (DP)"

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When creating a Data Job, as with other types on connection, you are able to run the job for all dataflows or individual dataflows.
 
When creating a Data Job, as with other types on connection, you are able to run the job for all dataflows or individual dataflows.
  
When a Connection is set up, it is possible to specify what happens after a data file has been processed.  
+
When a File Connection is set up, it is possible to specify what happens after a data file has been processed.  
 
The options are:
 
The options are:
 
* No Action - the data file will be saved to the relevant sub folder.
 
* No Action - the data file will be saved to the relevant sub folder.

Revision as of 07:29, 19 February 2024


In order to use Data Jobs with FILE type connections you need to set up a folders to contain the data as shown in the example below.

File Structure.png

When creating a Data Job, as with other types on connection, you are able to run the job for all dataflows or individual dataflows.

When a File Connection is set up, it is possible to specify what happens after a data file has been processed. The options are:

  • No Action - the data file will be saved to the relevant sub folder.
  • Move - the data file will be moved to the Processed folder.
  • Delete - the file will be deleted after processing.


All Dataflows

Once you have processed the Structure Job, you can place any number of data files into the data folder.


Multiple datafiles.png


As with other connections, when you create a Data Job you can select an Individual Dataflow or All Dataflows as shown below.


Multiple Datafile Data Job.png


When you run the job, the three datafiles will be imported into the Registry and the folder structure will be changed. For each datafile found, a agency folder will be created along with a sub folder for each dataflow.


Data Folder Agency Sub Folder.png


Within the Dataflow folder, you will find a sub folder for each version of the Dataflow, the datafile will now be in the appropriate version folder as illustrated below.


Dataflow Version Folder.png