Dear Marc,
so at least your documentation says: https://www.ibm.com/support/knowledgecenter/en/STXKQY_5.0.1/com.ibm.spectrum.scale.v5r01.doc/bl1hlp_filesfilesets.htm >>> User group and user quotas can be tracked at the file system level or per >>> independent fileset. But obviously as a customer I don't know if that "Really" depends on independence. Currently about 70% of our filesets in the Data Science Storage systems get backed up to ISP. But that number may change over time as it depends on the requirements of our projects. For them it is just selecting "Protect this DSS Container by ISP" in a Web form an our portal then automatically does all the provisioning of the ISP Node to one of our ISP servers, rolling out the new dsm config files to the backup workers and so on. Best Regards, Stephan Peinkofer ________________________________ From: gpfsug-discuss-boun...@spectrumscale.org <gpfsug-discuss-boun...@spectrumscale.org> on behalf of Marc A Kaplan <makap...@us.ibm.com> Sent: Friday, August 10, 2018 7:15 PM To: gpfsug main discussion list Subject: Re: [gpfsug-discuss] GPFS Independent Fileset Limit I know quota stuff was cooked into GPFS before we even had "independent filesets"... So which particular quota features or commands or options now depend on "independence"?! Really? Yes, independent fileset performance for mmapplypolicy and mmbackup scales with the inodespace sizes. But I'm curious to know how many of those indy filesets are mmback-ed-up. Appreciate your elaborations, 'cause even though I've worked on some of this code, I don't know how/when/if customers push which limits. --------------------- Dear Marc, well the primary reasons for us are: - Per fileset quota (this seems to work also for dependent filesets as far as I know) - Per user per fileset quota (this seems only to work for independent filesets) - The dedicated inode space to speedup mmpolicy runs which only have to be applied to a specific subpart of the file system - Scaling mmbackup by backing up different filesets to different TSM Servers economically We have currently more than 1000 projects on our HPC machines and several different existing and planned file systems (use cases):
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