Join us for a virtual Nutanix User Group meeting with Jarian Gibson as he covers Nutanix Cloud Clusters (NC2) on Azure and AWS with Citrix. <\/span><\/p>

Jarian will take a deep dive into NC2 on Azure architecture and Citrix on NC2 on Azure\u00a0that helps you strengthen your business continuity and disaster recovery position. He\u2019ll also provide the latest updates for NC2 on AWS.<\/span><\/p>

Plus, we're\u00a0giving away a Nutanix suitcase to one lucky winner!\u00a0Opt-in when you register\u00a0to be entered to win.\u00a0<\/p>","author":{"id":113632,"url":"\/members\/karlie-beil-113632","name":"Karlie Beil","avatar":"https:\/\/uploads-us-west-2.insided.com\/nutanix-us\/icon\/200x200\/1581aab3-bcf6-49f4-b2fb-3d11e8c010dc.png","userTitle":"Community Manager","rank":{"isBold":false,"isItalic":false,"isUnderline":false,"name":"Community Manager","color":"#0873ba"},"userLevel":4},"type":"Webinar","url":"https:\/\/next.nutanix.com\/events\/global-nug-nc2-on-azure-and-aws-with-citrix-151","image":"https:\/\/uploads-us-west-2.insided.com\/nutanix-us\/attachment\/f9693b5b-436b-427a-9b98-531b4040ff24_thumb.png","location":"","startsAt":1678298400,"endsAt":1678302000,"contentType":"event","attendees":[],"attendeeCount":0,"isLoggedInUserAttendee":false,"createdAt":"1675974969"},"phrases":{"Forum":{"{n} year|{n} years":"{n} year|{n} years","{n} month|{n} months":"{n} month|{n} months","{n} day|{n} days":"{n} day|{n} days","{n} hour|{n} hours":"{n} hour|{n} hours","{n} minute|{n} minutes":"{n} minute|{n} minutes","just":"just now","{plural} ago":"{plural} ago"}}}">

解决了

碎片仪客体操作系统

t

我想知道什么是在Nutanix节点上碎片放整片的最佳练习。我在节点上运行ESXI。我已经看了看，但找不到任何能够确定最佳实践的东西。

图标

最好的答案Sneha Patekar2019年12月3日，00：27

@themingsen<\/user-mention>\u00a0Defrag is only useful on physical systems with single disks. When using Nutanix, your data blocks may reside on multiple disks on multiple nodes across the cluster. Rearranging these blocks is done by Nutanix background jobs and Windows do not have control over the arrangement or contiguousness of these blocks. I hope this answers your question.<\/p>","className":"post__content__best_answer"}">
查看原件
    I was wondering what best practice is for defragmenting guest OS on a Nutanix node.\u00a0 I am running ESXi on the nodes.\u00a0 I have looked all over but I cannot find anything that tells me definitively the best practice.<\/p>","quoteUsername":"themingsen","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">
    该主题已关闭以供评论

    6个答复

    ddubuque
    UserLevel 3
    徽章 +10

    从技术上讲，您可以在VM级别上进行分化，并在VM级别进行。https://www.vmware.com/support/ws55/doc/ws_disk_defrag.html

    您真的不应该在Nutanix上碎片。这对SSD驱动器不利，并且存储范围在Nutanix上的工作方式不必要，这是不必要的，因为它已经在64K块中为您索引和组织数据。您的VDISK已经在多个驱动器上具有范围，因此这将产生不必要的IO。

    当然，我总是建议您联系以支持。他们可以为您提供最佳实践。

    大卫·杜比克（David Dubuque）||BKD ||Nutanix NTC 2019和2020 ||Nutanix技术咨询委员会成员||https://darklinkrising.com
    t

    我确实找到了该链接，但这是用于VMware Workstation 5.5的链接，因此我不确定是否相关。谢谢（你的）信息。

    I did find that link but it was for VMWare workstation 5.5 so I wasn\u2019t sure if it was relevant.\u00a0 Thanks for the info.<\/p>","quoteUsername":"themingsen","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">
    s
    秩
    UserLevel 2
    徽章 +1

    @themingsen感谢您发布问题。我们确实有一个内部KB，可以记下剥落VDisks的步骤，因此您可能无法访问。

    碎片制度过程很复杂，我们不允许客户自己做，而只能在支持指导下进行，因为存在大量的警告。

    在Nutanix群集上施加的存储功能可能会导致VM磁盘的VDiskBlockMap元数据变为碎片。这通常会在磁盘上重复数据删除和/或VM上的VMS上进行一段时间，而具有小的I/O覆盖物和常规DR Snapshots的工作负载。高VDISKBLOCKMAP碎片可以降低许多操作的性能。

    如果使用重复数据删除，则可以预期高碎片。在这种情况下，请勿继续进行碎片化删除的VDisks，这意味着要删除删除储蓄。

    理想情况下进行碎片化：

    • 确保集群正在运行AOS> = 5.10.6或> = 5.11

    • 如果分裂是由于重复数据删除引起的，并且已经决定重复数据删除不是正确的解决方案：禁用重复数据删除。

    • 暂停保护要碎片片的VM的PD（此过程有详细的步骤，应在支持指导下执行。）

    @themingsen<\/user-mention>\u00a0Thank you for posting your question. We do have an internal KB that jots down steps for defragmenting vdisks, hence maybe was not accessible to you.<\/p>

    Defragmentation process is complicated and we do not allow customers to do on their own but only under Support guidance as there are some high number of\u00a0caveats present.<\/p>

    Storage features applied on a container on a Nutanix cluster may cause vdiskblockmap metadata for the VM disk(s) to become heavily fragmented. This usually happens over a period of time for VMs with deduplication on disk and\/or on VMs with workloads with small I\/O overwrites and regular DR snapshots. High vdiskblockmap fragmentation can reduce performance across a number of operations.<\/p>

    If deduplication is used, then a high fragmentation is expected. In that case, do not proceed as defragmenting deduplicated vdisks means that deduplication savings are being removed.<\/p>

    Ideally to perform defragmentation:<\/p>

    • Ensure that cluster is running AOS >= 5.10.6 or >= 5.11<\/p> <\/li>

    • If fragmentation is due to deduplication and it has been decided that deduplication is not the right solution: Disable deduplication.\u00a0<\/p> <\/li>

    • Pause the PD that protects the VM that is to be defragmented (There are detailed steps to this process which should be performed under Support guidance.)<\/p> <\/li> <\/ul>

      \u00a0<\/p>","quoteUsername":"Sneha Patekar","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">

    t

    @sneha patekar我们正在使用ESXI。我只是想知道是否建议在访客操作系统上运行Windows OS碎片化。来宾操作系统一直在报告碎片化，但我不确定这是否准确，具体取决于Nutanix的处理方式。

    @Sneha Patekar<\/user-mention>\u00a0 We are using esxi. I am just wondering if it is suggested to run Windows OS defragmentation on the guest OS or not.\u00a0 The guest OS has been reporting fragmentation but I am unsure if that is accurate depending on how Nutanix handles the storage.<\/p>","quoteUsername":"themingsen","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">
    s
    秩
    UserLevel 2
    徽章 +1

    @themingsen除法仅对具有单个磁盘的物理系统有用。使用Nutanix时，您的数据块可能位于整个群集的多个节点上的多个磁盘上。重新安排这些块是由N​​utanix的背景工作完成的，Windows无法控制这些块的布置或连续性。我希望这回答了你的问题。

    @themingsen<\/user-mention>\u00a0Defrag is only useful on physical systems with single disks. When using Nutanix, your data blocks may reside on multiple disks on multiple nodes across the cluster. Rearranging these blocks is done by Nutanix background jobs and Windows do not have control over the arrangement or contiguousness of these blocks. I hope this answers your question.<\/p>","quoteUsername":"Sneha Patekar","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">
    乔恩
    秩
    UserLevel 6
    徽章 +29

    乔恩（Jon）来自这里的工程 - 根据我们的朋友的支持，我想提出一些想法。

    1-我同意sneha -Defrag（通常）仅在具有旋转介质的物理系统上有用，它们直接控制和不是在虚拟化的SAN/HCI环境中。我还敢说，虚拟化和SAN社区中最重要的是，这里有一些链接（VMware是该主题上最明确的链接）

    VMware：https://blogs.vmware.com/vsphere/2011/09/should-i-defrag-my-guest-os.html

    纯的：https://blog.purestorage.com/purely-technical/best-practice-disable-disk-fragmentation-scheduled-task/

    NetApp：https://community.netapp.com/t5/vmware-solutions-discussions/defrag-or-no-no-windows-guest-os-os-defrag-winfag-win-fc-lun-fc-lun/td-p/53190

    需要明确的是，我们几乎与行业中的其他所有人保持一致 - 对于传统的Windows碎片化，我们（一般而言）不建议它仅仅是因为它在很大程度上会浪费时间和浪费整体系统资源。花费大量的时间和存储几乎没有收获到以往任何时候（在一种情况下，可能引起头痛，请参见下文）

    但是，如果您想碎片限制您的来宾文件系统，则不会伤害任何东西除了如果您使用的是快照（在管理程序级别和/或Nutanix级别上）。由于您正在移动的数据是更改块，因此您应该期望快照膨胀以及如果使用群集进行群集复制，则可以暂时增加复制时间。这也将扩展到查看CBT备份的技术，因为它们只是在查看块是否已更改。

    注意：我在这里一般两次说，因为有“碎片化工具”，例如Raxco和有益（并且在很小的程度上（以及Windows的Optimize-Optimize-golume cmdlet）确实如此多得多比传统的碎片打碎片，例如Windows Defrag的制作数据并注意到碎裂有时用作“保持文件系统健康”的总体术语，该术语将其融入＃2（下）。

    2-有时将碎片碎片与自由空间管理混合在一起，我认为这是从字面上使用“碎片放整片我的自由空间”一词的日子；但是，如今，人们更有可能知道如何优化薄供应或简单地“收回”自由空间。这是指客人分配了一些空间然后删除数据时 - 在理想的世界中，您希望您的后端存储了解该数据删除，然后“回收”那些分配的块以使您尽可能薄。

    With Nutanix - If you’re on Hyper-V or AHV, you can natively take advantage of the TRIM / SCSI UNMAP feature sets built into many modern operating systems, where the operating system will send down a hint to the storage to garbage collect/reclaim a deleted set of blocks. There are a variety of blog posts and such on this topic, which is not Nutanix specific what so ever. If you’re running windows 2012 r2++, check out the optimize-volume -retrim command to explictly go and do this, but know that windows will just “figure it out” most of the time since it can see that the virtual disks from Hyper-V and AHV support trim properly and will just do it on the fly.

    如果您在ESXI上，我们使用NFS作为将Nutanix存储容器展示给ESXI主机的手段。NFS本身没有干净的方法来执行修剪或Unmap之类的事情，因此诀窍是使用可以将零写入自由空间的东西。在Windows的“免费赠品”软件世界中，这是Sdelete。Sdelete带有Plus和减。优点是网络结果是它可以归零空间，当Nutanix看到发送零时，我们将其分配给该存储并将其恢复回空间。

    Sdelete对Sdelete的最大负数是必须使用气球来编写该数据，以便如果您有开放的快照或运行备份等，所有这些技术都将在操作系统中看到数据正在更改。这可能会膨胀快照或备份，但是，假设您在后端有足够的空间来处理Sdelete，则确实可以很好地工作

    乔恩·科勒|Nutanix工程技术总监|Nutanix NPX＃003，VCDX＃116 |@jonkohler |如果有用的话，请荣誉！
    Jon from Engineering here - piling on this thread at request of our friends in support, I\u2019d like to drop in some thoughts.<\/p>

    1 - I agree with Sneha - Defrag is (in general) only useful on physical systems with rotational media that they directly control and not<\/em><\/strong>\u00a0in a virtualized SAN\/HCI environment. I\u2019d also wager high\u00a0on saying that the most in the virtualization\u00a0and SAN community agrees with this, here\u2019s a handful of links (with VMware\u2019s being the most definitive on the topic)<\/p>

    VMware:\u00a0https:\/\/blogs.vmware.com\/vsphere\/2011\/09\/should-i-defrag-my-guest-os.html<\/a><\/p>

    Pure:\u00a0https:\/\/blog.purestorage.com\/purely-technical\/best-practice-disable-disk-fragmentation-scheduled-task\/<\/a><\/p>

    NetApp:\u00a0https:\/\/community.netapp.com\/t5\/VMware-Solutions-Discussions\/Defrag-or-No-Windows-guest-OS-defrag-w-in-FC-LUN\/td-p\/53190<\/a><\/p>

    \u00a0<\/p>

    To be clear, We align with just about everyone else in the industry on this -\u00a0for traditional windows defragmentation, we (in general) do not\u00a0recommend<\/strong> it simply because it will largely be a waste of time and a waste of overall system resources. A lot of time spent and storage moved around for little to no gain what so ever (and in one case, possibly cause headaches, see below)<\/p>

    \u00a0<\/p>

    However, if you do want to defragment your guest file system, it shouldn\u2019t hurt anything except<\/em><\/strong>\u00a0if you are using snapshots (either at the hypervisor level and\/or at the Nutanix level). Since the data you are moving around is changing blocks, you should expect snapshot bloat as well as temporarily increased replication times if you are using cluster to cluster replication. This would also extend to technologies looking at CBT for backups, since they are just looking at if blocks have changed or not.<\/p>

    \u00a0<\/p>

    Note: I said in general twice here because there are \u201cdefragmentation tools\u201d, like Raxco and Conducive (and to a small extent Windows\u2019s optimize-volume cmdlet) that do much more<\/u> than traditional defragmentation-for-the-sake-of-making-data-contiguous like Windows Defrag does\u00a0as well as to note that defragmentation\u00a0<\/em><\/strong>sometimes is used as an overarching term for \u201ckeeping the file system healthy\u201d, which dovetails into #2 (below).<\/p>

    \u00a0<\/p>

    2- Sometimes defragmentation is conflated with free space management, which I think comes from the days where it would be common to literally use the phrase \u201cdefragment my free space\u201d; however, these days people are more likely to want to know how to optimize thin provisioning or simply \u201creclaim\u201d free space. This refers to when the guest has allocated some space and then deleted data - in an ideal world you would want your backend storage to understand that data deletion and then \u201creclaim\u201d those allocated blocks to keep you as thin as possible.<\/p>

    \u00a0<\/p>

    With Nutanix - If you\u2019re on Hyper-V or AHV, you can natively take advantage of the TRIM \/ SCSI UNMAP feature sets built into many modern operating systems, where the operating system will send down a hint to the storage to garbage collect\/reclaim a deleted set of blocks. There are a variety of blog posts and such on this topic, which is not Nutanix specific what so ever. If you\u2019re running windows 2012 r2++, check out the optimize-volume -retrim command to explictly go and do this, but know that windows will just \u201cfigure it out\u201d most of the time since it can see that the virtual disks from Hyper-V and AHV support trim properly and will just do it on the fly.<\/p>

    \u00a0<\/p>

    If you\u2019re on ESXi, we use NFS as the means to present the Nutanix storage container to the ESXi host. NFS itself doesn\u2019t have a clean way to do something like TRIM or UNMAP, so instead the trick is to use something that can write zeros into the free space. In the \u201cfreebie\u201d software world for Windows, that is sdelete. Sdelete comes with plus and minus. The plus is that the net result is that it can zero out free space, and when Nutanix see a zero being sent, we deallocate that storage and reclaim it back to free space.<\/p>

    \u00a0<\/p>

    The big, big minus to SDelete is it has to use a balloon to write that data such that if you have open snapshots\u00a0or have backups running, etc, all of those technologies are going to see data being changed within the operating system. This may bloat up snapshots or backups, but, assuming you have enough free space on the backend to process that sdelete, it does work well<\/p>","quoteUsername":"Jon","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">

    Learn more about our cookies.<\/a>","cookiepolicy.button":"Accept cookies","cookiepolicy.button.deny":"Deny all","cookiepolicy.link":"Cookie settings","cookiepolicy.modal.title":"Cookie settings","cookiepolicy.modal.content":"We use 3 different kinds of cookies. You can choose which cookies you want to accept. We need basic cookies to make this site work, therefore these are the minimum you can select. Learn more about our cookies.<\/a>","cookiepolicy.modal.level1":"Basic
    Functional","cookiepolicy.modal.level2":"Normal
    Functional + analytics","cookiepolicy.modal.level3":"Complete
    Functional + analytics + social media + embedded videos"}}}">
    Baidu