NTFS with DFS vs. ReFS with VSAN Replication

Nick Sousa 1 Reputation point
2021-02-04T15:21:41.35+00:00

On Windows Server 2016 or 2019, how long has "chkdsk /r /f" taken on large volumes (>2 TB)? I'm thinking through the pros and cons between using NTFS on file servers and replicating the data using DFS, or running file server VMs with ReFS on a VxRail stretched cluster with VSAN replication.

Windows Server 2019
Windows Server 2019
A Microsoft server operating system that supports enterprise-level management updated to data storage.
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Windows Server 2016
Windows Server 2016
A Microsoft server operating system that supports enterprise-level management updated to data storage.
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Windows Server Storage
Windows Server Storage
Windows Server: A family of Microsoft server operating systems that support enterprise-level management, data storage, applications, and communications.Storage: The hardware and software system used to retain data for subsequent retrieval.
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  1. Dave Patrick 426.1K Reputation points MVP
    2021-02-04T15:27:35.963+00:00

    You might get a rough estimate by running it read-only mode (no switches). Then add some time to this. Its more about file / folder count than about total disk size.

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  2. Mico Mi 1,921 Reputation points
    2021-02-05T07:17:45.957+00:00

    Hi,

    On Windows Server 2016 or 2019, how long has "chkdsk /r /f" taken on large volumes (>2 TB)?

    Chkdsk /r /f command will locate bad sectors and recover readable information from bad sectors and then fix found errors in disk.
    You can only run chkdsk /r command since it includes the /f function. However, if you only want to fix disk file system errors, you can only use chkdsk /f command since it will cost much less time.
    Need to mention that you don’t need to run a chkdsk /r command unless you think the target hard drive has physically bad sectors. This is because, checking 1TB hard drive may take more than 5 hours depending on your hard drive performance.
    (source)

    Thanks for your time!
    Best Regards,
    Mico Mi

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