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LVMVDO(7)                                                                               LVMVDO(7)

NAME
       lvmvdo -- Support for Virtual Data Optimizer in LVM

DESCRIPTION
       VDO is software that provides inline block-level deduplication, compression, and thin pro-
       visioning capabilities for primary storage.

       Deduplication is a technique for reducing the consumption of storage resources  by  elimi-
       nating multiple copies of duplicate blocks. Compression takes the individual unique blocks
       and shrinks them. These reduced blocks are then efficiently packed together into  physical
       blocks.  Thin  provisioning  manages  the  mapping from logical blocks presented by VDO to
       where the data has actually been physically stored, and also eliminates any blocks of  all
       zeroes.

       With  deduplication,  instead  of  writing  the  same data more than once, VDO detects and
       records each duplicate block as a reference to the original block. VDO maintains a mapping
       from Logical Block Addresses (LBA) (used by the storage layer above VDO) to physical block
       addresses (used by the storage layer under VDO).  After  deduplication,  multiple  logical
       block  addresses may be mapped to the same physical block address; these are called shared
       blocks and are reference-counted by the software.

       With compression, VDO compresses multiple blocks (or shared blocks) with the fast LZ4  al-
       gorithm,  and  bins  them  together  where possible so that multiple compressed blocks fit
       within a 4 KB block on the underlying storage. Mapping from LBA is to a physical block ad-
       dress and index within it for the desired compressed data. All compressed blocks are indi-
       vidually reference counted for correctness.

       Block sharing and block compression are invisible to applications using the storage, which
       read  and write blocks as they would if VDO were not present. When a shared block is over-
       written, a new physical block is allocated for storing the new block data to  ensure  that
       other  logical  block addresses that are mapped to the shared physical block are not modi-
       fied.

       To use VDO with lvm(8), you must install the standard VDO  user-space  tools  vdoformat(8)
       and the currently non-standard kernel VDO module "kvdo".

       The "kvdo" module implements fine-grained storage virtualization, thin provisioning, block
       sharing, and compression.  The "uds" module provides memory-efficient duplicate  identifi-
       cation.  The  user-space tools include vdostats(8) for extracting statistics from VDO vol-
       umes.

VDO TERMS
       VDODataLV
              VDO data LV
              A large hidden LV with the _vdata suffix. It is created in a VG
              used by the VDO kernel target to store all data and metadata blocks.

       VDOPoolLV
              VDO pool LV
              A pool for virtual VDOLV(s), which are the size of used VDODataLV.
              Only a single VDOLV is currently supported.

       VDOLV
              VDO LV
              Created from VDOPoolLV.
              Appears blank after creation.

VDO USAGE
       The primary methods for using VDO with lvm2:

   1. Create a VDOPoolLV and a VDOLV
       Create a VDOPoolLV that will hold VDO data, and a virtual size VDOLV  that  the  user  can
       use.  If  you  do not specify the virtual size, then the VDOLV is created with the maximum
       size that always fits into data volume even if no deduplication or compression can  happen
       (i.e.  it can hold the incompressible content of /dev/urandom).  If you do not specify the
       name of VDOPoolLV, it is taken from the sequence of vpool0, vpool1 ...

       Note: The performance of TRIM/Discard operations is slow for large volumes  of  VDO  type.
       Please  try  to avoid sending discard requests unless necessary because it might take con-
       siderable amount of time to finish the discard operation.

       lvcreate --type vdo -n VDOLV -L DataSize -V LargeVirtualSize VG/VDOPoolLV
       lvcreate --vdo -L DataSize VG

       Example
       # lvcreate --type vdo -n vdo0 -L 10G -V 100G vg/vdopool0
       # mkfs.ext4 -E nodiscard /dev/vg/vdo0

   2. Convert an existing LV into VDOPoolLV
       Convert an already created or existing LV into a VDOPoolLV, which is  a  volume  that  can
       hold  data and metadata.  You will be prompted to confirm such conversion because it IRRE-
       VERSIBLY DESTROYS the content of such volume and the volume is  immediately  formatted  by
       vdoformat(8)  as a VDO pool data volume. You can specify the virtual size of the VDOLV as-
       sociated with this VDOPoolLV.  If you do not specify the virtual size, it will be  set  to
       the maximum size that can keep 100% incompressible data there.

       lvconvert --type vdo-pool -n VDOLV -V VirtualSize VG/VDOPoolLV
       lvconvert --vdopool VG/VDOPoolLV

       Example
       # lvconvert --type vdo-pool -n vdo0 -V10G vg/ExistingLV

   3. Change the default settings used for creating a VDOPoolLV
       VDO  allows  to set a large variety of options. Lots of these settings can be specified in
       lvm.conf or profile settings. You can prepare  a  number  of  different  profiles  in  the
       /etc/lvm/profile  directory  and  just specify the profile file name.  Check the output of
       lvmconfig --type full for a detailed description of all individual VDO settings.

       Example
       # cat <<EOF > /etc/lvm/profile/vdo_create.profile
       allocation {
            vdo_use_compression=1
            vdo_use_deduplication=1
            vdo_use_metadata_hints=1
            vdo_minimum_io_size=4096
            vdo_block_map_cache_size_mb=128
            vdo_block_map_period=16380
            vdo_check_point_frequency=0
            vdo_use_sparse_index=0
            vdo_index_memory_size_mb=256
            vdo_slab_size_mb=2048
            vdo_ack_threads=1
            vdo_bio_threads=1
            vdo_bio_rotation=64
            vdo_cpu_threads=2
            vdo_hash_zone_threads=1
            vdo_logical_threads=1
            vdo_physical_threads=1
            vdo_write_policy="auto"
            vdo_max_discard=1
       }
       EOF

       # lvcreate --vdo -L10G --metadataprofile vdo_create vg/vdopool0
       # lvcreate --vdo -L10G --config 'allocation/vdo_cpu_threads=4' vg/vdopool1

   4. Change the compression and deduplication of a VDOPoolLV
       Disable or enable the compression and deduplication for VDOPoolLV (the volume  that  main-
       tains all VDO LV(s) associated with it).

       lvchange --compression [y|n] --deduplication [y|n] VG/VDOPoolLV

       Example
       # lvchange --compression n  vg/vdopool0
       # lvchange --deduplication y vg/vdopool1

   5. Checking the usage of VDOPoolLV
       To  quickly  check how much data on a VDOPoolLV is already consumed, use lvs(8). The Data%
       field reports how much data is occupied in the content of the virtual data for  the  VDOLV
       and  how  much  space  is  already  consumed  with all the data and metadata blocks in the
       VDOPoolLV.  For a detailed description, use the vdostats(8) command.

       Note: vdostats(8) currently understands only /dev/mapper device names.

       Example
       # lvcreate --type vdo -L10G -V20G -n vdo0 vg/vdopool0
       # mkfs.ext4 -E nodiscard /dev/vg/vdo0
       # lvs -a vg

         LV               VG Attr       LSize  Pool     Origin Data%
         vdo0             vg vwi-a-v--- 20.00g vdopool0        0.01
         vdopool0         vg dwi-ao---- 10.00g                 30.16
         [vdopool0_vdata] vg Dwi-ao---- 10.00g

       # vdostats --all /dev/mapper/vg-vdopool0-vpool
       /dev/mapper/vg-vdopool0 :
         version                             : 30
         release version                     : 133524
         data blocks used                    : 79
         ...

   6. Extending the VDOPoolLV size
       You can add more space to hold VDO data and metadata by extending the VDODataLV using  the
       commands  lvresize(8)  and  lvextend(8).   The extension needs to add at least one new VDO
       slab. You can configure the slab size with the allocation/vdo_slab_size_mb setting.

       You can also enable automatic size extension of a monitored  VDOPoolLV  with  the  activa-
       tion/vdo_pool_autoextend_percent and activation/vdo_pool_autoextend_threshold settings.

       Note: You cannot reduce the size of a VDOPoolLV.

       Note: You cannot change the size of a cached VDOPoolLV.

       lvextend -L+AddingSize VG/VDOPoolLV

       Example
       # lvextend -L+50G vg/vdopool0
       # lvresize -L300G vg/vdopool1

   7. Extending or reducing the VDOLV size
       You  can  extend  or  reduce a virtual VDO LV as a standard LV with the lvresize(8), lvex-
       tend(8), and lvreduce(8) commands.

       Note: The reduction needs to process TRIM for reduced disk area to unmap used data  blocks
       from the VDOPoolLV, which might take a long time.

       lvextend -L+AddingSize VG/VDOLV
       lvreduce -L-ReducingSize VG/VDOLV

       Example
       # lvextend -L+50G vg/vdo0
       # lvreduce -L-50G vg/vdo1
       # lvresize -L200G vg/vdo2

   8. Component activation of a VDODataLV
       You  can  activate  a VDODataLV separately as a component LV for examination purposes. The
       activation of the VDODataLV activates the data LV in read-only mode, and the data LV  can-
       not  be modified.  If the VDODataLV is active as a component, any upper LV using this vol-
       ume CANNOT be activated. You have to deactivate the VDODataLV first to continue to use the
       VDOPoolLV.

       Example
       # lvchange -ay vg/vpool0_vdata
       # lvchange -an vg/vpool0_vdata

VDO TOPICS
   1. Stacking VDO
       You  can  convert or stack a VDOPooLV with these currently supported volume types: linear,
       stripe, raid, and cache with cachepool.

   2. VDOPoolLV on top of raid
       Using a raid type LV for a VDODataLV.

       Example
       # lvcreate --type raid1 -L 5G -n vdopool vg
       # lvconvert --type vdo-pool -V 10G vg/vdopool

   3. Caching a VDODataLV or a VDOPoolLV
       VDODataLV (accepts also VDOPoolLV) caching provides a mechanism to  accelerate  reads  and
       writes of already compressed and deduplicated data blocks together with VDO metadata.

       A  cached VDO data LV cannot be currently resized. Also, the threshold based automatic re-
       size will not work.

       Example
       # lvcreate --type vdo -L 5G -V 10G -n vdo1 vg/vdopool
       # lvcreate --type cache-pool -L 1G -n cachepool vg
       # lvconvert --cache --cachepool vg/cachepool vg/vdopool
       # lvconvert --uncache vg/vdopool

   4. Caching a VDOLV
       VDO LV cache allow you to 'cache' a device for better performance before it hits the  pro-
       cessing of the VDO Pool LV layer.

       Example
       # lvcreate --type vdo -L 5G -V 10G -n vdo1 vg/vdopool
       # lvcreate --type cache-pool -L 1G -n cachepool vg
       # lvconvert --cache --cachepool vg/cachepool vg/vdo1
       # lvconvert --uncache vg/vdo1

   5. Usage of Discard/TRIM with a VDOLV
       You can discard data on a VDO LV and reduce used blocks on a VDOPoolLV.  However, the cur-
       rent performance of discard operations is still  not  optimal  and  takes  a  considerable
       amount of time and CPU.  Unless you really need it, you should avoid using discard.

       When  a block device is going to be rewritten, its blocks will be automatically reused for
       new data.  Discard is useful in situations when user knows that the given portion of a VDO
       LV  is  not going to be used and the discarded space can be used for block provisioning in
       other regions of the VDO LV.  For the same reason, you should avoid using mkfs  with  dis-
       card  for  a  freshly  created VDO LV to save a lot of time that this operation would take
       otherwise as device is already expected to be empty.

   6. Memory usage
       The VDO target requires 370 MiB of RAM plus an additional 268 MiB per each 1 TiB of physi-
       cal storage managed by the volume.

       UDS requires a minimum of 250 MiB of RAM, which is also the default amount that deduplica-
       tion uses.

       The memory required for the UDS index is determined by the index  type  and  the  required
       size  of the deduplication window and is controlled by the allocation/vdo_use_sparse_index
       setting.

       With enabled UDS sparse indexing, it relies on the temporal locality of data and  attempts
       to  retain only the most relevant index entries in memory and can maintain a deduplication
       window that is ten times larger than with dense while using the same amount of memory.

       Although the sparse index provides the greatest coverage, the dense  index  provides  more
       deduplication advice.  For most workloads, given the same amount of memory, the difference
       in deduplication rates between dense and sparse indexes is negligible.

       A dense index with 1 GiB of RAM maintains a 1 TiB deduplication window, while a sparse in-
       dex  with 1 GiB of RAM maintains a 10 TiB deduplication window.  In general, 1 GiB is suf-
       ficient for 4 TiB of physical space with a dense index and 40 TiB with a sparse index.

   7. Storage space requirements
       You can configure a VDOPoolLV to use up to 256 TiB of physical storage.   Only  a  certain
       part  of the physical storage is usable to store data.  This section provides the calcula-
       tions to determine the usable size of a VDO-managed volume.

       The VDO target requires storage for two types of VDO metadata and for the UDS index:

       o      The first type of VDO metadata uses approximately 1 MiB for each 4 GiB of  physical
              storage plus an additional 1 MiB per slab.

       o      The  second  type of VDO metadata consumes approximately 1.25 MiB for each 1 GiB of
              logical storage, rounded up to the nearest slab.

       o      The amount of storage required for the UDS index depends on the type of  index  and
              the  amount of RAM allocated to the index. For each 1 GiB of RAM, a dense UDS index
              uses 17 GiB of storage and a sparse UDS index will use 170 GiB of storage.

SEE ALSO
       lvm(8), lvm.conf(5), lvmconfig(8), lvcreate(8),  lvconvert(8),  lvchange(8),  lvextend(8),
       lvreduce(8), lvresize(8), lvremove(8), lvs(8), vdo(8), vdoformat(8), vdostats(8), mkfs(8)

Red Hat, Inc                    LVM TOOLS 2.03.11(2) (2021-01-08)                       LVMVDO(7)

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