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Status Future consideration
Created by Guest
Created on May 2, 2024

Parallelization/enhancement of pool migrations of individual large files

When running migrations between different pools often it appears the tail latency of the ILM run is dictated by a small number of large files

This seems to be due to the pool migration of any individual file being a single threaded activity that is run in batches.

It also appears possible that it is significantly faster to create a new file via dd than a migration of that file via mmchatter -P

Idea priority Low
  • Guest
    Reply
    |
    May 10, 2024


    size

    dd if=/dev/zero bs=1M count=N

    mmchatter -P capacity

    1MB

    0m0.023s

    0m0.003s

    10MB

    0m0.008s

    0m0.059s

    100MB

    0m0.078s

    0m0.367s

    1GB

    0m0.683s

    0m3.710s

    10GB

    0m6.270s

    0m33.918s

    100GB

    0m59.904s

    4m30.547s

    1TB

    9m21.765s

    55m47.335s


    This moves the files from an NVMe tier of a 3500 to the HDD tier. I don't currently have a system with two NVMe pools to validate this as a migration speed limitation and not a media limitation. Number of files is probably not a limiting factor here as you can apply a policy sorted by file size so the batches will generally run at similar speeds until you have a large outlier file that will take an outsized amount of time in a batch, typically the final batch if sorted. However it does appear migrations are slower than they could be on the whole given this table.


  • Admin
    THOMAS O'BRIEN
    Reply
    |
    May 10, 2024

    Can you please give us information on number of files and files sizes.