Cloud Job Spooling: MyQ Cloud

Cloud Job Spooling on MRC allows the user to upload job files to MyQ Cloud storage.

Requirements

• MRC 2.3 patch 3+ and Roger Server version 2.18+.

• Supported on Kyocera, Ricoh, and HP devices.

• Failover printing is not supported on this configuration.

• This feature disables OneDrive and Google Drive Cloud Job Spooling.

Printer and Port Configuration

To create a cloud spooling (CS) printer, customize your MRC Installer with these parameters:

• printerspooler
  Use printerspooler=2.
  Optionally, use printerspooler=3 to also create a local printer.

• printername
  This value is appended with the suffix CS. For example, printername=“MyQ-Roger” creates the CS printer MyQ-RogerCS.

The CS printer uses the same driver as the local spooling printer MyQ-Roger-MRC, and has the following port configuration:

Configure MyQ Cloud Spooling on Roger Server

Tenant administrators can enable or disable cloud spooling to storage, set the upload file size for users, and view how much of the status monthly storage limit has been used.

The monthly storage limit is set by your host.

To configure MyQ Cloud Spooling

1. Log in to Roger Server and go to Settings > Cloud Storages.

2. Under MyQ Cloud, select Store print jobs in MyQ Cloud.

3. (Optional) Set the maximum file size in MB.

4. (Optional) View the monthly size limit (default: 10GB). This limit is shared across the tenant among users with this feature enabled.

Job Storage Workflow

This workflow explains how MRC handles print jobs, from submission to cloud storage.

1. The user logs in to MRC using any authentication method.

2. The user prints a job using the CS printer.

3. MRC checks the job attributes before processing:

   • Exceeds maximum file size → discard the job, delete local files, and notify the user.

   • Exceeds monthly limit size → discard the job, delete local files, and notify the user.

   • If MyQ Cloud spooling is not enabled and the user is authenticated into MRC using a Microsoft or Google account, the job is uploaded to the user’s cloud storage.

Notes

• PDF outputs are saved to cloud storage as jobfilename.pdf.
  In all other cases, the file extension is .myq.

• This operation takes more time for large job files.