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xfs: expanding delayed logging design with background material 

I wrote up a description of how transactions, space reservations and
relogging work together in response to a question for background
material on the delayed logging design. Add this to the existing
document for ease of future reference.

Signed-off-by: Dave Chinner <dchinner@redhat.com>
Reviewed-by: Darrick J. Wong <djwong@kernel.org>
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Dave Chinner 2022-07-07 18:56:09 +10:00 committed by Dave Chinner
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355
Documentation/filesystems/xfs-delayed-logging-design.rst
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@ -1,29 +1,314 @@
.. SPDX-License-Identifier: GPL-2.0
==========================
XFS Delayed Logging Design
==========================
==================
XFS Logging Design
==================
Introduction to Re-logging in XFS
=================================
Preamble
========
XFS logging is a combination of logical and physical logging. Some objects,
such as inodes and dquots, are logged in logical format where the details
logged are made up of the changes to in-core structures rather than on-disk
structures. Other objects - typically buffers - have their physical changes
logged. The reason for these differences is to reduce the amount of log space
required for objects that are frequently logged. Some parts of inodes are more
frequently logged than others, and inodes are typically more frequently logged
than any other object (except maybe the superblock buffer) so keeping the
amount of metadata logged low is of prime importance.
This document describes the design and algorithms that the XFS journalling
subsystem is based on. This document describes the design and algorithms that
the XFS journalling subsystem is based on so that readers may familiarize
themselves with the general concepts of how transaction processing in XFS works.
The reason that this is such a concern is that XFS allows multiple separate
modifications to a single object to be carried in the log at any given time.
This allows the log to avoid needing to flush each change to disk before
recording a new change to the object. XFS does this via a method called
"re-logging". Conceptually, this is quite simple - all it requires is that any
new change to the object is recorded with a *new copy* of all the existing
changes in the new transaction that is written to the log.
We begin with an overview of transactions in XFS, followed by describing how
transaction reservations are structured and accounted, and then move into how we
guarantee forwards progress for long running transactions with finite initial
reservations bounds. At this point we need to explain how relogging works. With
the basic concepts covered, the design of the delayed logging mechanism is
documented.
Introduction
============
XFS uses Write Ahead Logging for ensuring changes to the filesystem metadata
are atomic and recoverable. For reasons of space and time efficiency, the
logging mechanisms are varied and complex, combining intents, logical and
physical logging mechanisms to provide the necessary recovery guarantees the
filesystem requires.
Some objects, such as inodes and dquots, are logged in logical format where the
details logged are made up of the changes to in-core structures rather than
on-disk structures. Other objects - typically buffers - have their physical
changes logged. Long running atomic modifications have individual changes
chained together by intents, ensuring that journal recovery can restart and
finish an operation that was only partially done when the system stopped
functioning.
The reason for these differences is to keep the amount of log space and CPU time
required to process objects being modified as small as possible and hence the
logging overhead as low as possible. Some items are very frequently modified,
and some parts of objects are more frequently modified than others, so keeping
the overhead of metadata logging low is of prime importance.
The method used to log an item or chain modifications together isn't
particularly important in the scope of this document. It suffices to know that
the method used for logging a particular object or chaining modifications
together are different and are dependent on the object and/or modification being
performed. The logging subsystem only cares that certain specific rules are
followed to guarantee forwards progress and prevent deadlocks.
Transactions in XFS
===================
XFS has two types of high level transactions, defined by the type of log space
reservation they take. These are known as "one shot" and "permanent"
transactions. Permanent transaction reservations can take reservations that span
commit boundaries, whilst "one shot" transactions are for a single atomic
modification.
The type and size of reservation must be matched to the modification taking
place. This means that permanent transactions can be used for one-shot
modifications, but one-shot reservations cannot be used for permanent
transactions.
In the code, a one-shot transaction pattern looks somewhat like this::
tp = xfs_trans_alloc(<reservation>)
<lock items>
<join item to transaction>
<do modification>
xfs_trans_commit(tp);
As items are modified in the transaction, the dirty regions in those items are
tracked via the transaction handle. Once the transaction is committed, all
resources joined to it are released, along with the remaining unused reservation
space that was taken at the transaction allocation time.
In contrast, a permanent transaction is made up of multiple linked individual
transactions, and the pattern looks like this::
tp = xfs_trans_alloc(<reservation>)
xfs_ilock(ip, XFS_ILOCK_EXCL)
loop {
xfs_trans_ijoin(tp, 0);
<do modification>
xfs_trans_log_inode(tp, ip);
xfs_trans_roll(&tp);
}
xfs_trans_commit(tp);
xfs_iunlock(ip, XFS_ILOCK_EXCL);
While this might look similar to a one-shot transaction, there is an important
difference: xfs_trans_roll() performs a specific operation that links two
transactions together::
ntp = xfs_trans_dup(tp);
xfs_trans_commit(tp);
xfs_log_reserve(ntp);
This results in a series of "rolling transactions" where the inode is locked
across the entire chain of transactions. Hence while this series of rolling
transactions is running, nothing else can read from or write to the inode and
this provides a mechanism for complex changes to appear atomic from an external
observer's point of view.
It is important to note that a series of rolling transactions in a permanent
transaction does not form an atomic change in the journal. While each
individual modification is atomic, the chain is *not atomic*. If we crash half
way through, then recovery will only replay up to the last transactional
modification the loop made that was committed to the journal.
This affects long running permanent transactions in that it is not possible to
predict how much of a long running operation will actually be recovered because
there is no guarantee of how much of the operation reached stale storage. Hence
if a long running operation requires multiple transactions to fully complete,
the high level operation must use intents and deferred operations to guarantee
recovery can complete the operation once the first transactions is persisted in
the on-disk journal.
Transactions are Asynchronous
=============================
In XFS, all high level transactions are asynchronous by default. This means that
xfs_trans_commit() does not guarantee that the modification has been committed
to stable storage when it returns. Hence when a system crashes, not all the
completed transactions will be replayed during recovery.
However, the logging subsystem does provide global ordering guarantees, such
that if a specific change is seen after recovery, all metadata modifications
that were committed prior to that change will also be seen.
For single shot operations that need to reach stable storage immediately, or
ensuring that a long running permanent transaction is fully committed once it is
complete, we can explicitly tag a transaction as synchronous. This will trigger
a "log force" to flush the outstanding committed transactions to stable storage
in the journal and wait for that to complete.
Synchronous transactions are rarely used, however, because they limit logging
throughput to the IO latency limitations of the underlying storage. Instead, we
tend to use log forces to ensure modifications are on stable storage only when
a user operation requires a synchronisation point to occur (e.g. fsync).
Transaction Reservations
========================
It has been mentioned a number of times now that the logging subsystem needs to
provide a forwards progress guarantee so that no modification ever stalls
because it can't be written to the journal due to a lack of space in the
journal. This is achieved by the transaction reservations that are made when
a transaction is first allocated. For permanent transactions, these reservations
are maintained as part of the transaction rolling mechanism.
A transaction reservation provides a guarantee that there is physical log space
available to write the modification into the journal before we start making
modifications to objects and items. As such, the reservation needs to be large
enough to take into account the amount of metadata that the change might need to
log in the worst case. This means that if we are modifying a btree in the
transaction, we have to reserve enough space to record a full leaf-to-root split
of the btree. As such, the reservations are quite complex because we have to
take into account all the hidden changes that might occur.
For example, a user data extent allocation involves allocating an extent from
free space, which modifies the free space trees. That's two btrees. Inserting
the extent into the inode's extent map might require a split of the extent map
btree, which requires another allocation that can modify the free space trees
again. Then we might have to update reverse mappings, which modifies yet
another btree which might require more space. And so on. Hence the amount of
metadata that a "simple" operation can modify can be quite large.
This "worst case" calculation provides us with the static "unit reservation"
for the transaction that is calculated at mount time. We must guarantee that the
log has this much space available before the transaction is allowed to proceed
so that when we come to write the dirty metadata into the log we don't run out
of log space half way through the write.
For one-shot transactions, a single unit space reservation is all that is
required for the transaction to proceed. For permanent transactions, however, we
also have a "log count" that affects the size of the reservation that is to be
made.
While a permanent transaction can get by with a single unit of space
reservation, it is somewhat inefficient to do this as it requires the
transaction rolling mechanism to re-reserve space on every transaction roll. We
know from the implementation of the permanent transactions how many transaction
rolls are likely for the common modifications that need to be made.
For example, and inode allocation is typically two transactions - one to
physically allocate a free inode chunk on disk, and another to allocate an inode
from an inode chunk that has free inodes in it. Hence for an inode allocation
transaction, we might set the reservation log count to a value of 2 to indicate
that the common/fast path transaction will commit two linked transactions in a
chain. Each time a permanent transaction rolls, it consumes an entire unit
reservation.
Hence when the permanent transaction is first allocated, the log space
reservation is increases from a single unit reservation to multiple unit
reservations. That multiple is defined by the reservation log count, and this
means we can roll the transaction multiple times before we have to re-reserve
log space when we roll the transaction. This ensures that the common
modifications we make only need to reserve log space once.
If the log count for a permanent transaction reaches zero, then it needs to
re-reserve physical space in the log. This is somewhat complex, and requires
an understanding of how the log accounts for space that has been reserved.
Log Space Accounting
====================
The position in the log is typically referred to as a Log Sequence Number (LSN).
The log is circular, so the positions in the log are defined by the combination
of a cycle number - the number of times the log has been overwritten - and the
offset into the log. A LSN carries the cycle in the upper 32 bits and the
offset in the lower 32 bits. The offset is in units of "basic blocks" (512
bytes). Hence we can do realtively simple LSN based math to keep track of
available space in the log.
Log space accounting is done via a pair of constructs called "grant heads". The
position of the grant heads is an absolute value, so the amount of space
available in the log is defined by the distance between the position of the
grant head and the current log tail. That is, how much space can be
reserved/consumed before the grant heads would fully wrap the log and overtake
the tail position.
The first grant head is the "reserve" head. This tracks the byte count of the
reservations currently held by active transactions. It is a purely in-memory
accounting of the space reservation and, as such, actually tracks byte offsets
into the log rather than basic blocks. Hence it technically isn't using LSNs to
represent the log position, but it is still treated like a split {cycle,offset}
tuple for the purposes of tracking reservation space.
The reserve grant head is used to accurately account for exact transaction
reservations amounts and the exact byte count that modifications actually make
and need to write into the log. The reserve head is used to prevent new
transactions from taking new reservations when the head reaches the current
tail. It will block new reservations in a FIFO queue and as the log tail moves
forward it will wake them in order once sufficient space is available. This FIFO
mechanism ensures no transaction is starved of resources when log space
shortages occur.
The other grant head is the "write" head. Unlike the reserve head, this grant
head contains an LSN and it tracks the physical space usage in the log. While
this might sound like it is accounting the same state as the reserve grant head
- and it mostly does track exactly the same location as the reserve grant head -
there are critical differences in behaviour between them that provides the
forwards progress guarantees that rolling permanent transactions require.
These differences when a permanent transaction is rolled and the internal "log
count" reaches zero and the initial set of unit reservations have been
exhausted. At this point, we still require a log space reservation to continue
the next transaction in the sequeunce, but we have none remaining. We cannot
sleep during the transaction commit process waiting for new log space to become
available, as we may end up on the end of the FIFO queue and the items we have
locked while we sleep could end up pinning the tail of the log before there is
enough free space in the log to fulfil all of the pending reservations and
then wake up transaction commit in progress.
To take a new reservation without sleeping requires us to be able to take a
reservation even if there is no reservation space currently available. That is,
we need to be able to *overcommit* the log reservation space. As has already
been detailed, we cannot overcommit physical log space. However, the reserve
grant head does not track physical space - it only accounts for the amount of
reservations we currently have outstanding. Hence if the reserve head passes
over the tail of the log all it means is that new reservations will be throttled
immediately and remain throttled until the log tail is moved forward far enough
to remove the overcommit and start taking new reservations. In other words, we
can overcommit the reserve head without violating the physical log head and tail
rules.
As a result, permanent transactions only "regrant" reservation space during
xfs_trans_commit() calls, while the physical log space reservation - tracked by
the write head - is then reserved separately by a call to xfs_log_reserve()
after the commit completes. Once the commit completes, we can sleep waiting for
physical log space to be reserved from the write grant head, but only if one
critical rule has been observed::
Code using permanent reservations must always log the items they hold
locked across each transaction they roll in the chain.
"Re-logging" the locked items on every transaction roll ensures that the items
attached to the transaction chain being rolled are always relocated to the
physical head of the log and so do not pin the tail of the log. If a locked item
pins the tail of the log when we sleep on the write reservation, then we will
deadlock the log as we cannot take the locks needed to write back that item and
move the tail of the log forwards to free up write grant space. Re-logging the
locked items avoids this deadlock and guarantees that the log reservation we are
making cannot self-deadlock.
If all rolling transactions obey this rule, then they can all make forwards
progress independently because nothing will block the progress of the log
tail moving forwards and hence ensuring that write grant space is always
(eventually) made available to permanent transactions no matter how many times
they roll.
Re-logging Explained
====================
XFS allows multiple separate modifications to a single object to be carried in
the log at any given time. This allows the log to avoid needing to flush each
change to disk before recording a new change to the object. XFS does this via a
method called "re-logging". Conceptually, this is quite simple - all it requires
is that any new change to the object is recorded with a *new copy* of all the
existing changes in the new transaction that is written to the log.
That is, if we have a sequence of changes A through to F, and the object was
written to disk after change D, we would see in the log the following series
@ -42,16 +327,13 @@ transaction::
In other words, each time an object is relogged, the new transaction contains
the aggregation of all the previous changes currently held only in the log.
This relogging technique also allows objects to be moved forward in the log so
that an object being relogged does not prevent the tail of the log from ever
moving forward. This can be seen in the table above by the changing
(increasing) LSN of each subsequent transaction - the LSN is effectively a
direct encoding of the location in the log of the transaction.
This relogging technique allows objects to be moved forward in the log so that
an object being relogged does not prevent the tail of the log from ever moving
forward. This can be seen in the table above by the changing (increasing) LSN
of each subsequent transaction, and it's the technique that allows us to
implement long-running, multiple-commit permanent transactions.
This relogging is also used to implement long-running, multiple-commit
transactions. These transaction are known as rolling transactions, and require
a special log reservation known as a permanent transaction reservation. A
typical example of a rolling transaction is the removal of extents from an
A typical example of a rolling transaction is the removal of extents from an
inode which can only be done at a rate of two extents per transaction because
of reservation size limitations. Hence a rolling extent removal transaction
keeps relogging the inode and btree buffers as they get modified in each
@ -67,12 +349,13 @@ the log over and over again. Worse is the fact that objects tend to get
dirtier as they get relogged, so each subsequent transaction is writing more
metadata into the log.
Another feature of the XFS transaction subsystem is that most transactions are
asynchronous. That is, they don't commit to disk until either a log buffer is
filled (a log buffer can hold multiple transactions) or a synchronous operation
forces the log buffers holding the transactions to disk. This means that XFS is
doing aggregation of transactions in memory - batching them, if you like - to
minimise the impact of the log IO on transaction throughput.
It should now also be obvious how relogging and asynchronous transactions go
hand in hand. That is, transactions don't get written to the physical journal
until either a log buffer is filled (a log buffer can hold multiple
transactions) or a synchronous operation forces the log buffers holding the
transactions to disk. This means that XFS is doing aggregation of transactions
in memory - batching them, if you like - to minimise the impact of the log IO on
transaction throughput.
The limitation on asynchronous transaction throughput is the number and size of
log buffers made available by the log manager. By default there are 8 log