From: Enrico Plant <plantulli@gmail.com>
To: Christian Ebner <c.ebner@proxmox.com>
Cc: pbs-devel@lists.proxmox.com
Subject: Re: [PATCH proxmox proxmox-backup 0/3] datastore: gc: prefetch chunk metadata before phase 1
Date: Mon, 10 Aug 2026 22:32:28 +0200 [thread overview]
Message-ID: <CAKymmRLJ_6C_4io=rgWiALDrMvtB4z7EbW3iu5CxQdrEFWu6Hg@mail.gmail.com> (raw)
In-Reply-To: <96d49b8d-5049-473d-989c-c98060810cc2@proxmox.com>
[-- Attachment #1: Type: text/plain, Size: 11122 bytes --]
Hi,
thank you for the quick and thorough review!
> For it to be considered please send the signed contributors license
> agreement
Already done - I sent the signed individual CLA to office@proxmox.com
on Aug 10, our mails probably crossed. Happy to resend if it did not
arrive.
> I think there might be additional performance improvements to be
> gained from this: In particular, instead of performing the atime
> updates on the chunks on first encounter right away, these could be
> kept in a list with upper boundary, the utimensat() call deferred
> until the list reached it's maximum or there are not further chunks
> to process. Sorting the list by digest and performing the readdir()
> calls on that ordered list should give similar benefits if multiple
> chunks are to be touched within the same directory AFAIU, but
> without having to read empty directories and with the benefit of
> warming the cache when needed.
I can offer strong empirical support for exactly this design. Since
sending the series I have run the one-pass version on datastore A
(72M chunks) in production, and the one-pass approach shows its limit
there:
- the prefetch itself was fast: 81.8M directory entries in 59m32s;
- phase 1 then started fast, but after ~4 hours collapsed to
~100-150 chunks/s. Kernel stack samples of the GC worker showed it
blocked in zio_wait <- dbuf_read <- zap_get_leaf_byblk (and
dnode_hold_impl), i.e. re-reading from disk the very metadata the
prefetch had loaded hours earlier;
- the ARC had recycled those blocks: it was sitting at its adaptive
target (c = 138G) even though c_max was 250G, so the 7-hour-old
prefetched blocks were evicted long before phase 1 reached them;
- re-running the same directory walk externally, concurrently with
phase 1, recovered the rate only modestly: about +30% on the rate
of first-touched chunks, with cold demand reads persisting at
~55/s even right after the walk. With the ARC sitting at its
adaptive target, blocks warmed minutes earlier are already being
recycled by the time the marker reaches them.
So on a store where phase 1 runs for hours, neither one warming pass
up front nor periodic full re-walks solve it: the warming has to
happen right before use, which is exactly what your deferred-batch
design does - and it makes the survival question disappear entirely.
It should also compose nicely
with the existing LRU dedup cache: the deferred entries are precisely
the cache misses, so bounding the list relative to the LRU capacity
sounds right to me. And taking the parent directory handle for
utimensat() is a further nice win on top.
For scale: on datastore B, where phase 1 fits well inside the
eviction horizon, the steady state with the one-pass version is
prefetch 12.4s + phase 1 in 12m38s daily (down from 2h14m for
phase 1 alone before).
> If deferring utimensat() calls as suggested above, this could most
> likely be implemented without much hustle, requiring sorting by
> inode instead of by digest.
Agreed - once the touches go through a sorted batch, the sort key is
pluggable and sort-by-inode becomes almost free to try.
I will rework the series (v2) along these lines: deferred bounded
list of pending touches, sorted flush with readdir on the directories
actually needed, parent-dir file handles for utimensat(), and the
iterator's hex filtering made optional as you suggested. Two
questions before I start:
1. With the deferred design the warming happens on demand, so the
original gc-chunk-metadata-prefetch tuning option loses most of
its meaning. Would you prefer the batched behaviour to be
unconditional (no new option), or should it stay behind a knob?
2. Any preference on the list bound - a fixed count, or derived from
gc-cache-capacity? One observation: sorted by digest, a flush of N
entries spans min(N, 65536) directories, so the bound also sets
the readdir amplification - N/65536 chunks actually used per
directory read. A large, LRU-sized bound (~8M entries is only a
few hundred MB of digests) gives ~128 used chunks per readdir,
while a small bound would warm ~1100 dnodes per directory to use
a handful.
Thanks,
Enrico
Il giorno lun 10 ago 2026 alle ore 12:13 Christian Ebner <
c.ebner@proxmox.com> ha scritto:
> Hi Enrico,
>
> thanks for your contribution! For it to be considered please send the
> signed contributors license agreement as outlined in if you have not
> already done so:
>
>
> https://pbs.proxmox.com/wiki/Developer_Documentation#Software_License_and_Copyright
>
> In the mean time some high level comments.
>
> On 8/10/26 7:02 AM, Enrico Plantulli wrote:
> > Hi,
> >
> > garbage collection phase 1 resolves each chunk from its digest and calls
> > utimensat() on it directly, so it never iterates the chunk directories.
> > On a cold store that means every chunk costs an independent, serialized
> > metadata read, and those reads are issued in digest order - which is
> > uncorrelated with the on-disk layout of the inodes by construction,
> > since the digest picks the directory while the inode number follows
> > creation order.
> >
>
> [..]
>
> >
> > Design notes and open questions, on which I would appreciate guidance:
> >
> > * The win is conditional on the prefetched metadata surviving in the
> > cache until phase 1 consumes it. On ZFS that is roughly 512 bytes of
> > dnode per chunk: about 2.5 GiB for the 5.2M chunks sampled from
> > datastore B (twice that for the full store) and about 34 GiB for
> > datastore A. On a store whose dnodes do not fit in the ARC the pass
> > does not pay off. And even where they fit, whether the tail of the
> > prefetch survives until a phase 1 that runs for hours reaches it -
> > against the index files phase 1 itself reads, the dnodes it dirties
> > and concurrent backup traffic - is an open question on a store of A's
> > size. If it does not, the better design would be prefetch windows
> > interleaved with marking, which this simple one-pass version does not
> > attempt. Treat the datastore A figures as motivation, not as a
> > measured result of this patch.
>
> I think there might be additional performance improvements to be gained
> from this: In particular, instead of performing the atime updates on the
> chunks on first encounter right away, these could be kept in a list with
> upper boundary, the utimensat() call deferred until the list reached
> it's maximum or there are not further chunks to process. Sorting the
> list by digest and performing the readdir() calls on that ordered list
> should give similar benefits if multiple chunks are to be touched within
> the same directory AFAIU, but without having to read empty directories
> and with the benefit of warming the cache when needed. Also, utimensat()
> calls could get the open parent directory file handle, reducing
> filesystem traversal for lookup.
>
> List limits must however be considered with care, might be based on the
> LRU cache size used to avoid multiple atime updates.
>
> > * The warm figures bound the read side only. Phase 1 also dirties every
> > chunk's dnode through utimensat(), and in digest order two touches
> > that share a 16 KiB metadnode block are millions of operations apart,
> > so copy-on-write rewrites the block once per touch instead of once
> > per block: on datastore A that is ~72M block rewrites, on the order
> > of 1 TiB of metadnode churn plus a multiple of that in dirtied
> > indirect blocks. This is the same volume phase 1 writes today, only
> > compressed into less wall time - a faster phase 1 even coalesces the
> > indirect block updates better. But it does cap the marking rate well
> > below what the lstat() figure alone would suggest: with the default
> > 4 GiB zfs_dirty_data_max the ZFS write throttle starts to shape the
> > rate in the low thousands of utimensat() per second. So the end
> > state I expect on datastore A is phase 1 bound by metadata
> > write-back at a few thousand chunks per second - two orders of
> > magnitude above the 39.2 chunks/s it does today, but not the tens of
> > thousands the warm read numbers alone might suggest. On datastore B
> > the end-to-end run stayed below any throttling (~13700 chunks/s with
> > dmu_tx_dirty_delay at 0), so the cap was not reached there; for A
> > this remains an estimate, not a measurement.
>
> Definitely worth investigation further as well.
>
> > * Opt-in was the conservative choice. Note that tying it to chunk-order
> > would not be conservative at all: chunk-order defaults to `inode`, so
> > that would effectively enable the pass everywhere. If you want it on
> > by default, I would rather make the option default to true than key it
> > off chunk-order.
> >
> > * The pass is not free, but it is also not a whole extra pass: GC phase
> > 2 already walks the same directories with the same iterator, so the
> > prefetch can warm phase 2 as well - though after an hours-long phase 1
> > that rewrites the dnodes it touches, how much of that warmth is left
> > for phase 2 is equally open.
> >
> > * The pass is best effort: a failure is logged and ignored, except for
> > abort and shutdown requests, which are re-checked in the error path so
> > that cancelling the task still stops the collection.
> >
> > * It reuses get_chunk_store_iterator(), the same iterator phase 2 uses,
> > so there is no second implementation of the chunk directory walk. The
> > per-entry hex filtering is redundant for this use, but reusing the
> > iterator seemed better than duplicating the walk.
>
> This helper is and internal implementation, so could be extended to make
> the filtering optional.
>
> > * The pass is sequential, one directory at a time, so it keeps the queue
> > depth of the pool low - the same limitation that makes phase 1 slow in
> > the first place. Parallelising it over ranges of the 65536
> > subdirectories would likely help further on wide pools, but it would
> > need a second walk implementation instead of reusing
> > get_chunk_store_iterator(), so I left it out of this first version.
> > Happy to add it if you would take it.
>
> This could be added at a later point IMO.
>
> > * This is complementary to the LRU cache added in [0] for #5331: that
> > commit removes redundant atime updates, this one makes the remaining
> > ones cheap. It does not change what phase 1 marks, only what it has to
> > wait for.
> >
> > * A larger version of the same idea would be to have phase 1 itself walk
> > in inode order, the way chunk-order=inode already does for verify.
> > That is a much more invasive change and I did not attempt it; the
> > readdir pass gets most of the benefit for a fraction of the risk.
>
> If deferring utimensat() calls as suggested above, this could most
> likely be implemented without much hustle, requiring sorting by inode
> instead of by digest.
>
> >
> > [0]
> https://git.proxmox.com/?p=proxmox-backup.git;a=commit;h=03143eee0a59cf319be0052e139f7e20e124d572
>
>
>
>
[-- Attachment #2: Type: text/html, Size: 12893 bytes --]
prev parent reply other threads:[~2026-08-10 20:32 UTC|newest]
Thread overview: 8+ messages / expand[flat|nested] mbox.gz Atom feed top
2026-08-10 5:01 [PATCH proxmox proxmox-backup 0/3] datastore: gc: prefetch chunk metadata before phase 1 Enrico Plantulli
2026-08-10 5:01 ` [PATCH proxmox 1/3] pbs-api-types: add gc chunk metadata prefetch tuning option Enrico Plantulli
2026-08-10 5:01 ` [PATCH proxmox-backup 2/3] datastore: gc: optionally prefetch chunk metadata before phase 1 Enrico Plantulli
2026-08-10 10:19 ` Christian Ebner
2026-08-10 15:05 ` Enrico Plantulli
2026-08-10 5:02 ` [PATCH proxmox-backup 3/3] ui: tuning: add GC chunk metadata prefetch option Enrico Plantulli
2026-08-10 10:13 ` [PATCH proxmox proxmox-backup 0/3] datastore: gc: prefetch chunk metadata before phase 1 Christian Ebner
2026-08-10 20:32 ` Enrico Plant [this message]
Reply instructions:
You may reply publicly to this message via plain-text email
using any one of the following methods:
* Save the following mbox file, import it into your mail client,
and reply-to-all from there: mbox
Avoid top-posting and favor interleaved quoting:
https://en.wikipedia.org/wiki/Posting_style#Interleaved_style
* Reply using the --to, --cc, and --in-reply-to
switches of git-send-email(1):
git send-email \
--in-reply-to='CAKymmRLJ_6C_4io=rgWiALDrMvtB4z7EbW3iu5CxQdrEFWu6Hg@mail.gmail.com' \
--to=plantulli@gmail.com \
--cc=c.ebner@proxmox.com \
--cc=pbs-devel@lists.proxmox.com \
/path/to/YOUR_REPLY
https://kernel.org/pub/software/scm/git/docs/git-send-email.html
* If your mail client supports setting the In-Reply-To header
via mailto: links, try the mailto: link
Be sure your reply has a Subject: header at the top and a blank line
before the message body.
This is an external index of several public inboxes,
see mirroring instructions on how to clone and mirror
all data and code used by this external index.