Please clarify and elaborate .... When you write "a full backup ... takes 60 days" - that seems very poor indeed. BUT you haven't stated how much data is being copied to what kind of backup media nor how much equipment or what types you are using... Nor which backup software...
We have Spectrum Scale installation doing nightly backups of huge file systems using the mmbackup command with TivoliStorageManager backup, using IBM branded or approved equipment and software. From: "tomasz.wol...@ts.fujitsu.com" <tomasz.wol...@ts.fujitsu.com> To: "gpfsug-discuss@spectrumscale.org" <gpfsug-discuss@spectrumscale.org> Date: 02/08/2018 05:50 AM Subject: [gpfsug-discuss] Inode scan optimization Sent by: gpfsug-discuss-boun...@spectrumscale.org Hello All, A full backup of an 2 billion inodes spectrum scale file system on V4.1.1.16 takes 60 days. We try to optimize and using inode scans seems to improve, even when we are using a directory scan and the inode scan just for having a better performance concerning stat (using gpfs_stat_inode_with_xattrs64). With 20 processes in parallel doing dir scans (+ inode scans for stat info) we have decreased the time to 40 days. All NSDs are dataAndMetadata type. I have the following questions: · Is there a way to increase the inode scan cache (we may use 32 GByte)? o Can we us the “hidden” config parameters § iscanPrefetchAggressiveness 2 § iscanPrefetchDepth 0 § iscanPrefetchThreadsPerNode 0 · Is there a documentation concerning cache behavior? o if no, is the inode scan cache process or node specific? o Is there a suggestion to optimize the termIno parameter in the gpfs_stat_inode_with_xattrs64() in such a use case? Thanks! Best regards, Tomasz Wolski_______________________________________________ gpfsug-discuss mailing list gpfsug-discuss at spectrumscale.org https://urldefense.proofpoint.com/v2/url?u=http-3A__gpfsug.org_mailman_listinfo_gpfsug-2Ddiscuss&d=DwICAg&c=jf_iaSHvJObTbx-siA1ZOg&r=cvpnBBH0j41aQy0RPiG2xRL_M8mTc1izuQD3_PmtjZ8&m=mWxVB2lS_snDiYR4E348tnzbQTSuuWSrRiBDhJPjyh8&s=FG9fDxbmiCuSh0cvt4hsQS0bKdGHjI7loVGEKO0eTf0&e=
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