man/man8/swapcache.8

.\"
.\" swapcache - Cache clean filesystem data & meta-data on SSD-based swap
.\"
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.Dd February 7, 2010
.Dt SWAPCACHE 8
.Os
.Sh NAME
.Nm swapcache
.Nd a mechanism to use fast swap to cache filesystem data and meta-data
.Sh SYNOPSIS
.Cd sysctl vm.swapcache.accrate=100000
.Cd sysctl vm.swapcache.maxfilesize=0
.Cd sysctl vm.swapcache.maxburst=2000000000
.Cd sysctl vm.swapcache.curburst=4000000000
.Cd sysctl vm.swapcache.minburst=10000000
.Cd sysctl vm.swapcache.read_enable=0
.Cd sysctl vm.swapcache.meta_enable=0
.Cd sysctl vm.swapcache.data_enable=0
.Cd sysctl vm.swapcache.use_chflags=1
.Cd sysctl vm.swapcache.maxlaunder=256
.Cd sysctl vm.swapcache.hysteresis=(vm.stats.vm.v_inactive_target/2)
.Sh DESCRIPTION
.Nm
is a system capability which allows a solid state disk (SSD) in a swap
space configuration to be used to cache clean filesystem data and meta-data
in addition to its normal function of backing anonymous memory.
.Pp
Sysctls are used to manage operational parameters and can be adjusted at
any time.
Typically a large initial burst is desired after system boot,
controlled by the initial
.Va vm.swapcache.curburst
parameter.
This parameter is reduced as data is written to swap by the swapcache
and increased at a rate specified by
.Va vm.swapcache.accrate .
Once this parameter reaches zero write activity ceases until it has
recovered sufficiently for write activity to resume.
.Pp
.Va vm.swapcache.meta_enable
enables the writing of filesystem meta-data to the swapcache.
Filesystem
metadata is any data which the filesystem accesses via the disk device
using buffercache.
Meta-data is cached globally regardless of file or directory flags.
.Pp
.Va vm.swapcache.data_enable
enables the writing of clean filesystem file-data to the swapcache.
Filesystem filedata is any data which the filesystem accesses via a
regular file.
In technical terms, when the buffer cache is used to access
a regular file through its vnode.
Please do not blindly turn on this option, see the
.Sx PERFORMANCE TUNING
section for more information.
.Pp
.Va vm.swapcache.use_chflags
enables the use of the
.Va cache
and
.Va noscache
.Xr chflags 1
flags to control which files will be data-cached.
If this sysctl is disabled and
.Va data_enable
is enabled, the system will ignore file flags and attempt to
swapcache all regular files.
.Pp
.Va vm.swapcache.read_enable
enables reading from the swapcache and should be set to 1 for normal
operation.
.Pp
.Va vm.swapcache.maxfilesize
controls which files are to be cached based on their size.
If set to non-zero only files smaller than the specified size
will be cached.
Larger files will not be cached.
.Pp
.Va vm.swapcache.maxlaunder
controls the maximum number of clean VM pages which will be added to
the swap cache and written out to swap on each poll.
Swapcache polls ten times a second.
.Pp
.Va vm.swapcache.hysteresis
controls how many pages swapcache waits to be added to the inactive page
queue before continuing its scan.
Once it decides to scan it continues subject to the above limitations
until it reaches the end of the inactive page queue.
This parameter is designed to make swapcache generate more bulky bursts
to swap which helps SSDs reduce write amplification effects.
.Sh PERFORMANCE TUNING
Best operation is achieved when the active data set fits within the
swapcache.
.Pp
.Bl -tag -width 4n -compact
.It Va vm.swapcache.accrate
This specifies the burst accumulation rate in bytes per second and
ultimately controls the write bandwidth to swap averaged over a long
period of time.
This parameter must be carefully chosen to manage the write endurance of
the SSD in order to avoid wearing it out too quickly.
Even though SSDs have limited write endurance, there is massive
cost/performance benefit to using one in a swapcache configuration.
.Pp
Let's use the old Intel X25V 40GB MLC SATA SSD as an example.
This device has approximately a
40TB (40 terabyte) write endurance, but see later
notes on this, it is more a minimum value.
Limiting the long term average bandwidth to 100KB/sec leads to no more
than ~9GB/day writing which calculates approximately to a 12 year endurance.
Endurance scales linearly with size.
The 80GB version of this SSD
will have a write endurance of approximately 80TB.
.Pp
MLC SSDs have a 1000-10000x write endurance, while the lower density
higher-cost SLC SSDs have a 10000-100000x write endurance, approximately.
MLC SSDs can be used for the swapcache (and swap) as long as the system
manager is cognizant of its limitations.
However, over the years tests have shown the SLC SSDs do not really live
up to their hype and are no more reliable than MLC SSDs.  Instead of
worrying about SLC vs MLC, just use MLC (or TLC or whateve), leave
more space unpartitioned which the SSD can utilize to improve durability,
and be cognizant of the SSDs rate of wear.
.Pp
.It Va vm.swapcache.meta_enable
Turning on just
.Va meta_enable
causes only filesystem meta-data to be cached and will result
in very fast directory operations even over millions of inodes
and even in the face of other invasive operations being run
by other processes.
.Pp
For
.Nm HAMMER
filesystems meta-data includes the B-Tree, directory entries,
and data related to tiny files.
Approximately 6 GB of swapcache is needed
for every 14 million or so inodes cached, effectively giving one the
ability to cache all the meta-data in a multi-terabyte filesystem using
a fairly small SSD.
.Pp
.It Va vm.swapcache.data_enable
Turning on
.Va data_enable
(with or without other features) allows bulk file data to be cached.
This feature is very useful for web server operation when the
operational data set fits in swap.
However, care must be taken to avoid thrashing the swapcache.
In almost all cases you will want to leave chflags mode enabled
and use 'chflags cache' on governing directories to control which
directory subtrees file data should be cached for.
.Pp
DragonFly uses generously large kern.maxvnodes values,
typically in excess of 400K vnodes, but large numbers
of small files can still cause problems for swapcache.
When operating on a filesystem containing a large number of
small files, vnode recycling by the kernel will cause related
swapcache data to be lost and also cause the swapcache to
potentially thrash.
Cache thrashing due to vnode recyclement can occur whether chflags
mode is used or not.
.Pp
To solve the thrashing problem you can turn on HAMMER's
double buffering feature via
.Va vfs.hammer.double_buffer .
This causes HAMMER to cache file data via its block device.
HAMMER cannot avoid also caching file data via individual vnodes
but will try to expire the second copy more quickly (hence
why it is called double buffer mode), but the key point here is
that
.Nm
will only cache the data blocks via the block device when
double_buffer mode is used and since the block device is associated
with the mount, vnode recycling will not mess with it.
This allows the data for any number (potentially millions) of files to
be swapcached.
You still should use chflags mode to control the size of the dataset
being cached to remain under 75% of configured swap space.
.Pp
Data caching is definitely more wasteful of the SSD's write durability
than meta-data caching.
If not carefully managed the swapcache may exhaust its burst and smack
against the long term average bandwidth limit, causing the SSD to wear
out at the maximum rate you programmed.
Data caching is far less wasteful and more efficient
if you provide a sufficiently large SSD.
.Pp
When caching large data sets you may want to use a medium-sized SSD
with good write performance instead of a small SSD to accommodate
the higher burst write rate data caching incurs and to reduce
interference between reading and writing.
Write durability also tends to scale with larger SSDs, but keep in mind
that newer flash technologies use smaller feature sizes on-chip
which reduce the write durability of the chips, so pay careful attention
to the type of flash employed by the SSD when making durability
assumptions.
For example, an Intel X25-V only has 40MB/s in write performance
and burst writing by swapcache will seriously interfere with
concurrent read operation on the SSD.
The 80GB X25-M on the otherhand has double the write performance.
Higher-capacity and larger form-factor SSDs tend to have better
write-performance.
But the Intel 310 series SSDs use flash chips with a smaller feature
size so an 80G 310 series SSD will wind up with a durability relative
close to the older 40G X25-V.
.Pp
When data caching is turned on you can fine-tune what gets swapcached
by also turning on swapcache's chflags mode and using
.Xr chflags 1
with the
.Va cache
flag to enable data caching on a directory-tree (recursive) basis.
This flag is tracked by the namecache and does not need to be
recursively set in the directory tree.
Simply setting the flag in a top level directory or mount point
is usually sufficient.
However, the flag does not track across mount points.
A typical setup is something like this:
.Pp
.Dl chflags cache /etc /sbin /bin /usr /home
.Dl chflags noscache /usr/obj
.Pp
It is possible to tell
.Nm
to ignore the cache flag by leaving
.Va vm.swapcache.use_chflags
set to zero.
In many situations it is convenient to simply not use chflags mode, but
if you have numerous mixed SSDs and HDDs you may want to use this flag
to enable swapcache on the HDDs and disable it on the SSDs even if
you do not care about fine-grained control.
.Nm chflag Ns 'ing .
.Pp
Filesystems such as NFS which do not support flags generally
have a
.Va cache
mount option which enables swapcache operation on the mount.
.Pp
.It Va vm.swapcache.maxfilesize
This may be used to reduce cache thrashing when a focus on a small
potentially fragmented filespace is desired, leaving the
larger (more linearly accessed) files alone.
.Pp
.It Va vm.swapcache.minburst
This controls hysteresis and prevents nickel-and-dime write bursting.
Once
.Va curburst
drops to zero, writing to the swapcache ceases until it has recovered past
.Va minburst .
The idea here is to avoid creating a heavily fragmented swapcache where
reading data from a file must alternate between the cache and the primary
filesystem.
Doing so does not save disk seeks on the primary filesystem
so we want to avoid doing small bursts.
This parameter allows us to do larger bursts.
The larger bursts also tend to improve SSD performance as the SSD itself
can do a better job write-combining and erasing blocks.
.Pp
.It Va vm_swapcache.maxswappct
This controls the maximum amount of swapspace
.Nm
may use, in percentage terms.
The default is 75%, leaving the remaining 25% of swap available for normal
paging operations.
.El
.Pp
It is important to ensure that your swap partition is nicely aligned.
The standard DragonFly
.Xr disklabel 8
program guarantees high alignment (~1MB) automatically.
Swap-on HDDs benefit because HDDs tend to use a larger physical sector size
than 512 bytes, and proper alignment for SSDs will reduce write amplification
and write-combining inefficiencies.
.Pp
Finally, interleaved swap (multiple SSDs) may be used to increase
swap and swapcache performance even further.
A single SATA-II SSD is typically capable of reading 120-220MB/sec.
Configuring two SSDs for your swap will
improve aggregate swapcache read performance by 1.5x to 1.8x.
In tests with two Intel 40GB SSDs 300MB/sec was easily achieved.
With two SATA-III SSDs it is possible to achieve 600MB/sec or better
and well over 400MB/sec random-read performance (versus the ~3MB/sec
random read performance a hard drive gives you).
Faster SATA interfaces or newer NVMe technologies have significantly
more read bandwidth (3GB/sec+ for NVMe), but may still lag on the
write bandwidth.
With newer technologies, one swap device is usually plenty.
.Pp
.Dx
defaults to a maximum of 512G of configured swap.
Keep in mind that each 1GB of actually configured swap requires
approximately 1MB of wired ram to manage.
.Pp
In addition there will be periods of time where the system is in
steady state and not writing to the swapcache.
During these periods
.Va curburst
will inch back up but will not exceed
.Va maxburst .
Thus the
.Va maxburst
value controls how large a repeated burst can be.
Remember that
.Va curburst
dynamically tracks burst and will go up and down depending.
.Pp
A second bursting parameter called
.Va vm.swapcache.minburst
controls bursting when the maximum write bandwidth has been reached.
When
.Va minburst
reaches zero write activity ceases and
.Va curburst
is allowed to recover up to
.Va minburst
before write activity resumes.
The recommended range for the
.Va minburst
parameter is 1MB to 50MB.
This parameter has a relationship to
how fragmented the swapcache gets when not in a steady state.
Large bursts reduce fragmentation and reduce incidences of
excessive seeking on the hard drive.
If set too low the
swapcache will become fragmented within a single regular file
and the constant back-and-forth between the swapcache and the
hard drive will result in excessive seeking on the hard drive.
.Sh SWAPCACHE SIZE & MANAGEMENT
The swapcache feature will use up to 75% of configured swap space
by default.
The remaining 25% is reserved for normal paging operations.
The system operator should configure at least 4 times the SWAP space
versus main memory and no less than 8GB of swap space.
A typical 128GB SSD might use 64GB for boot + base and 56GB for
swap, with 8GB left unpartitioned.  The system might then have a large
additional hard drive for bulk data.
Even with many packages installed, 64GB is comfortable for
boot + base.
.Pp
When configuring a SSD that will be used for swap or swapcache
it is a good idea to leave around 10% unpartitioned to improve
the SSDs durability.
.Pp
You do not need to use swapcache if you have no hard drives in the
system, though in fact swapcache can help if you use NFS heavily
as a client.
.Pp
The
.Va vm_swapcache.maxswappct
sysctl may be used to change the default.
You may have to change this default if you also use
.Xr tmpfs 5 ,
.Xr vn 4 ,
or if you have not allocated enough swap for reasonable normal paging
activity to occur (in which case you probably shouldn't be using
.Nm
anyway).
.Pp
If swapcache reaches the 75% limit it will begin tearing down swap
in linear bursts by iterating through available VM objects, until
swap space use drops to 70%.
The tear-down is limited by the rate at
which new data is written and this rate in turn is often limited by
.Va vm.swapcache.accrate ,
resulting in an orderly replacement of cached data and meta-data.
The limit is typically only reached when doing full data+meta-data
caching with no file size limitations and serving primarily large
files, or bumping
.Va kern.maxvnodes
up to very high values.
.Sh NORMAL SWAP PAGING ACTIVITY WITH SSD SWAP
This is not a function of
.Nm
per se but instead a normal function of the system.
Most systems have
sufficient memory that they do not need to page memory to swap.
These types of systems are the ones best suited for MLC SSD
configured swap running with a
.Nm
configuration.
Systems which modestly page to swap, in the range of a few hundred
megabytes a day worth of writing, are also well suited for MLC SSD
configured swap.
Desktops usually fall into this category even if they
page out a bit more because swap activity is governed by the actions of
a single person.
.Pp
Systems which page anonymous memory heavily when
.Nm
would otherwise be turned off are not usually well suited for MLC SSD
configured swap.
Heavy paging activity is not governed by
.Nm
bandwidth control parameters and can lead to excessive uncontrolled
writing to the SSD, causing premature wearout.
This isn't to say that
.Nm
would be ineffective, just that the aggregate write bandwidth required
to support the system might be too large to be cost-effective for a SSD.
.Pp
With this caveat in mind, SSD based paging on systems with insufficient
RAM can be extremely effective in extending the useful life of the system.
For example, a system with a measly 192MB of RAM and SSD swap can run
a -j 8 parallel build world in a little less than twice the time it
would take if the system had 2GB of RAM, whereas it would take 5x to 10x
as long with normal HDD based swap.
.Sh USING SWAPCACHE WITH NORMAL HARD DRIVES
Although
.Nm
is designed to work with SSD-based storage it can also be used with
HD-based storage as an aid for offloading the primary storage system.
Here we need to make a distinction between using RAID for fanning out
storage versus using RAID for redundancy.  There are numerous situations
where RAID-based redundancy does not make sense.
.Pp
A good example would be in an environment where the servers themselves
are redundant and can suffer a total failure without effecting
ongoing operations.  When the primary storage requirements easily fit onto
a single large-capacity drive it doesn't make a whole lot of sense to
use RAID if your only desire is to improve performance.  If you had a farm
of, say, 20 servers supporting the same facility adding RAID to each one
would not accomplish anything other than to bloat your deployment and
maintenance costs.
.Pp
In these sorts of situations it may be desirable and convenient to have
the primary filesystem for each machine on a single large drive and then
use the
.Nm
facility to offload the drive and make the machine more effective without
actually distributing the filesystem itself across multiple drives.
For the purposes of offloading while a SSD would be the most effective
from a performance standpoint, a second medium sized HD with its much lower
cost and higher capacity might actually be more cost effective.
.Sh EXPLANATION OF STATIC VS DYNAMIC WEARING LEVELING, AND WRITE-COMBINING
Modern SSDs keep track of space that has never been written to.
This would also include space freed up via TRIM, but simply not
touching a bit of storage in a factory fresh SSD works just as well.
Once you touch (write to) the storage all bets are off, even if
you reformat/repartition later.  It takes sending the SSD a
whole-device TRIM command or special format command to take it back
to its factory-fresh condition (sans wear already present).
.Pp
SSDs have wear leveling algorithms which are responsible for trying
to even out the erase/write cycles across all flash cells in the
storage.  The better a job the SSD can do the longer the SSD will
remain usable.
.Pp
The more unused storage there is from the SSDs point of view the
easier a time the SSD has running its wear leveling algorithms.
Basically the wear leveling algorithm in a modern SSD (say Intel or OCZ)
uses a combination of static and dynamic leveling.  Static is the
best, allowing the SSD to reuse flash cells that have not been
erased very much by moving static (unchanging) data out of them and
into other cells that have more wear.  Dynamic wear leveling involves
writing data to available flash cells and then marking the cells containing
the previous copy of the data as being free/reusable.  Dynamic wear leveling
is the worst kind but the easiest to implement.  Modern SSDs use a combination
of both algorithms plus also do write-combining.
.Pp
USB sticks often use only dynamic wear leveling and have short life spans
because of that.
.Pp
In anycase, any unused space in the SSD effectively makes the dynamic
wear leveling the SSD does more efficient by giving the SSD more 'unused'
space above and beyond the physical space it reserves beyond its stated
storage capacity to cycle data through, so the SSD lasts longer in theory.
.Pp
Write-combining is a feature whereby the SSD is able to reduced write
amplification effects by combining OS writes of smaller, discrete,
non-contiguous logical sectors into a single contiguous 128KB physical
flash block.
.Pp
On the flip side write-combining also results in more complex lookup tables
which can become fragmented over time and reduce the SSDs read performance.
Fragmentation can also occur when write-combined blocks are rewritten
piecemeal.
Modern SSDs can regain the lost performance by de-combining previously
write-combined areas as part of their static wear leveling algorithm, but
at the cost of extra write/erase cycles which slightly increase write
amplification effects.
Operating systems can also help maintain the SSDs performance by utilizing
larger blocks.
Write-combining results in a net-reduction
of write-amplification effects but due to having to de-combine later and
other fragmentary effects it isn't 100%.
From testing with Intel devices write-amplification can be well controlled
in the 2x-4x range with the OS doing 16K writes, versus a worst-case
8x write-amplification with 16K blocks, 32x with 4K blocks, and a truly
horrid worst-case with 512 byte blocks.
.Pp
The
.Dx
.Nm
feature utilizes 64K-128K writes and is specifically designed to minimize
write amplification and write-combining stresses.
In terms of placing an actual filesystem on the SSD, the
.Dx
.Xr hammer 8
filesystem utilizes 16K blocks and is well behaved as long as you limit
reblocking operations.
For UFS you should create the filesystem with at least a 4K fragment
size, versus the default 2K.
Modern Windows filesystems use 4K clusters but it is unclear how SSD-friendly
NTFS is.
.Sh EXPLANATION OF FLASH CHIP FEATURE SIZE VS ERASE/REWRITE CYCLE DURABILITY
Manufacturers continue to produce flash chips with smaller feature sizes.
Smaller flash cells means reduced erase/rewrite cycle durability which in
turn reduces the durability of the SSD.
.Pp
The older 34nm flash typically had a 10,000 cell durability while the newer
25nm flash is closer to 1000.  The newer flash uses larger ECCs and more
sensitive voltage comparators on-chip to increase the durability closer to
3000 cycles.  Generally speaking you should assume a durability of around
1/3 for the same storage capacity using the new chips versus the older
chips.  If you can squeeze out a 400TB durability from an older 40GB X25-V
using 34nm technology then you should assume around a 400TB durability from
a newer 120GB 310 series SSD using 25nm technology.
.Sh WARNINGS
I am going to repeat and expand a bit on SSD wear.
Wear on SSDs is a function of the write durability of the cells,
whether the SSD implements static or dynamic wear leveling (or both),
write amplification effects when the OS does not issue write-aligned 128KB
ops or when the SSD is unable to write-combine adjacent logical sectors,
or if the SSD has a poor write-combining algorithm for non-adjacent sectors.
In addition some additional erase/rewrite activity occurs from cleanup
operations the SSD performs as part of its static wear leveling algorithms
and its write-decombining algorithms (necessary to maintain performance over
time).  MLC flash uses 128KB physical write/erase blocks while SLC flash
typically uses 64KB physical write/erase blocks.
.Pp
The algorithms the SSD implements in its firmware are probably the most
important part of the device and a major differentiator between e.g. SATA
and USB-based SSDs.  SATA form factor drives will universally be far superior
to USB storage sticks.
SSDs can also have wildly different wearout rates and wildly different
performance curves over time.
For example the performance of a SSD which does not implement
write-decombining can seriously degrade over time as its lookup
tables become severely fragmented.
For the purposes of this manual page we are primarily using Intel and OCZ
drives when describing performance and wear issues.
.Pp
.Nm
parameters should be carefully chosen to avoid early wearout.
For example, the Intel X25V 40GB SSD has a minimum write durability
of 40TB and an actual durability that can be quite a bit higher.
Generally speaking, you want to select parameters that will give you
at least 10 years of service life.
The most important parameter to control this is
.Va vm.swapcache.accrate .
.Nm
uses a very conservative 100KB/sec default but even a small X25V
can probably handle 300KB/sec of continuous writing and still last 10 years.
.Pp
Depending on the wear leveling algorithm the drive uses, durability
and performance can sometimes be improved by configuring less
space (in a manufacturer-fresh drive) than the drive's probed capacity.
For example, by only using 32GB of a 40GB SSD.
SSDs typically implement 10% more storage than advertised and
use this storage to improve wear leveling.
As cells begin to fail
this overallotment slowly becomes part of the primary storage
until it has been exhausted.
After that the SSD has basically failed.
Keep in mind that if you use a larger portion of the SSD's advertised
storage the SSD will not know if/when you decide to use less unless
appropriate TRIM commands are sent (if supported), or a low level
factory erase is issued.
.Pp
.Nm smartctl
(from
.Xr dports 7 Ap s
.Pa sysutils/smartmontools )
may be used to retrieve the wear indicator from the drive.
One usually runs something like
.Ql smartctl -d sat -a /dev/daXX
(for AHCI/SILI/SCSI), or
.Ql smartctl -a /dev/adXX
for NATA.
Some SSDs
(particularly the Intels) will brick the SATA port when smart operations
are done while the drive is busy with normal activity, so the tool should
only be run when the SSD is idle.
.Pp
ID 232 (0xe8) in the SMART data dump indicates available reserved
space and ID 233 (0xe9) is the wear-out meter.
Reserved space
typically starts at 100 and decrements to 10, after which the SSD
is considered to operate in a degraded mode.
The wear-out meter typically starts at 99 and decrements to 0,
after which the SSD has failed.
.Pp
.Nm
tends to use large 64KB writes and tends to cluster multiple writes
linearly.
The SSD is able to take significant advantage of this
and write amplification effects are greatly reduced.
If we take a 40GB Intel X25V as an example the vendor specifies a write
durability of approximately 40TB, but
.Nm
should be able to squeeze out upwards of 200TB due the fairly optimal
write clustering it does.
The theoretical limit for the Intel X25V is 400TB (10,000 erase cycles
per MLC cell, 40GB drive, with 34nm technology), but the firmware doesn't
do perfect static wear leveling so the actual durability is less.
In tests over several hundred days we have validated a write endurance
greater than 200TB on the 40G Intel X25V using
.Nm .
.Pp
In contrast, filesystems directly stored on a SSD could have
fairly severe write amplification effects and will have durabilities
ranging closer to the vendor-specified limit.
.Pp
Tests have shown that power cycling (with proper shutdown) and read
operations do not adversely effect a SSD.  Writing within the wearout
constraints provided by the vendor also does not make a powered SSD any
less reliable over time.  Time itself seems to be a factor as the SSD
encounters defects and weak cells in the flash chips.  Writes to a SSD
will effect cold durability (a typical flash chip has 10 years of cold
data retention when fresh and less than 1 year of cold data retention near
the end of its wear life).  Keeping a SSD cool improves its data retention.
.Pp
Beware the standard comparison between SLC, MLC, and TLC-based flash
in terms of wearout and durability.  Over the years, tests have shown
that SLC is not actually any more reliable than MLC, despite having a
significantly larger theoretical durability.  Cell and chip failures seem
to trump theoretical wear limitations in terms of device reliability.
With that in mind, we do not recommend using SLC for anything any more.
Instead we recommend that the flash simply be over-provisioned to provide
the needed durability.
This is already done in numerous NVMe solutions for the vendor to be able
to provide certain minimum wear guarantees.
Durability scales with the amount of flash storage (but the fab process
typically scales the opposite... smaller feature sizes for flash cells
greatly reduce their durability).
When wear calculations are in years, these differences become huge, but
often the quantity of storage needed trumps the wear life so we expect most
people will be using MLC.
.Pp
Beware the huge difference between larger (e.g. 2.5") form-factor SSDs
and smaller SSDs such as USB sticks are very small M.2 storage.  Smaller
form-factor devices have fewer flash chips and, much lower write bandwidths,
less ram for caching and write-combining, and usb sticks in particular will
usually have unsophisticated wear-leveling algorithms compared to a 2.5"
SSD.  It is generally not a good idea to make a USB stick your primary
storage.  Long-form-factor NGFF/M.2 devices will be better, and 2.5"
form factor devices even better.  The read-bandwidth for a SATA SSD caps
out more quickly than the read-bandwidth for a NVMe SSD, but the larger
form factor of a 2.5" SATA SSD will often have superior write performance
to a NGFF NVMe device.  There are 2.5" NVMe devices as well, requiring a
special connector or PCIe adapter, which give you the best of both worlds.
.Sh SEE ALSO
.Xr chflags 1 ,
.Xr fstab 5 ,
.Xr disklabel64 8 ,
.Xr hammer 8 ,
.Xr swapon 8
.Sh HISTORY
.Nm
first appeared in
.Dx 2.5 .
.Sh AUTHORS
.An Matthew Dillon