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Dave Chinnera9a745d2010-05-14 21:43:11 +10001XFS Delayed Logging Design
2--------------------------
3
4Introduction to Re-logging in XFS
5---------------------------------
6
7XFS logging is a combination of logical and physical logging. Some objects,
8such as inodes and dquots, are logged in logical format where the details
9logged are made up of the changes to in-core structures rather than on-disk
10structures. Other objects - typically buffers - have their physical changes
11logged. The reason for these differences is to reduce the amount of log space
12required for objects that are frequently logged. Some parts of inodes are more
13frequently logged than others, and inodes are typically more frequently logged
14than any other object (except maybe the superblock buffer) so keeping the
15amount of metadata logged low is of prime importance.
16
17The reason that this is such a concern is that XFS allows multiple separate
18modifications to a single object to be carried in the log at any given time.
19This allows the log to avoid needing to flush each change to disk before
20recording a new change to the object. XFS does this via a method called
21"re-logging". Conceptually, this is quite simple - all it requires is that any
22new change to the object is recorded with a *new copy* of all the existing
23changes in the new transaction that is written to the log.
24
25That is, if we have a sequence of changes A through to F, and the object was
26written to disk after change D, we would see in the log the following series
27of transactions, their contents and the log sequence number (LSN) of the
28transaction:
29
30 Transaction Contents LSN
31 A A X
32 B A+B X+n
33 C A+B+C X+n+m
34 D A+B+C+D X+n+m+o
35 <object written to disk>
36 E E Y (> X+n+m+o)
37 F E+F Yٍ+p
38
39In other words, each time an object is relogged, the new transaction contains
40the aggregation of all the previous changes currently held only in the log.
41
42This relogging technique also allows objects to be moved forward in the log so
43that an object being relogged does not prevent the tail of the log from ever
44moving forward. This can be seen in the table above by the changing
45(increasing) LSN of each subsquent transaction - the LSN is effectively a
46direct encoding of the location in the log of the transaction.
47
48This relogging is also used to implement long-running, multiple-commit
49transactions. These transaction are known as rolling transactions, and require
50a special log reservation known as a permanent transaction reservation. A
51typical example of a rolling transaction is the removal of extents from an
52inode which can only be done at a rate of two extents per transaction because
53of reservation size limitations. Hence a rolling extent removal transaction
54keeps relogging the inode and btree buffers as they get modified in each
55removal operation. This keeps them moving forward in the log as the operation
56progresses, ensuring that current operation never gets blocked by itself if the
57log wraps around.
58
59Hence it can be seen that the relogging operation is fundamental to the correct
60working of the XFS journalling subsystem. From the above description, most
61people should be able to see why the XFS metadata operations writes so much to
62the log - repeated operations to the same objects write the same changes to
63the log over and over again. Worse is the fact that objects tend to get
64dirtier as they get relogged, so each subsequent transaction is writing more
65metadata into the log.
66
67Another feature of the XFS transaction subsystem is that most transactions are
68asynchronous. That is, they don't commit to disk until either a log buffer is
69filled (a log buffer can hold multiple transactions) or a synchronous operation
70forces the log buffers holding the transactions to disk. This means that XFS is
71doing aggregation of transactions in memory - batching them, if you like - to
72minimise the impact of the log IO on transaction throughput.
73
74The limitation on asynchronous transaction throughput is the number and size of
75log buffers made available by the log manager. By default there are 8 log
76buffers available and the size of each is 32kB - the size can be increased up
77to 256kB by use of a mount option.
78
79Effectively, this gives us the maximum bound of outstanding metadata changes
80that can be made to the filesystem at any point in time - if all the log
81buffers are full and under IO, then no more transactions can be committed until
82the current batch completes. It is now common for a single current CPU core to
83be to able to issue enough transactions to keep the log buffers full and under
84IO permanently. Hence the XFS journalling subsystem can be considered to be IO
85bound.
86
87Delayed Logging: Concepts
88-------------------------
89
90The key thing to note about the asynchronous logging combined with the
91relogging technique XFS uses is that we can be relogging changed objects
92multiple times before they are committed to disk in the log buffers. If we
93return to the previous relogging example, it is entirely possible that
94transactions A through D are committed to disk in the same log buffer.
95
96That is, a single log buffer may contain multiple copies of the same object,
97but only one of those copies needs to be there - the last one "D", as it
98contains all the changes from the previous changes. In other words, we have one
99necessary copy in the log buffer, and three stale copies that are simply
100wasting space. When we are doing repeated operations on the same set of
101objects, these "stale objects" can be over 90% of the space used in the log
102buffers. It is clear that reducing the number of stale objects written to the
103log would greatly reduce the amount of metadata we write to the log, and this
104is the fundamental goal of delayed logging.
105
106From a conceptual point of view, XFS is already doing relogging in memory (where
107memory == log buffer), only it is doing it extremely inefficiently. It is using
108logical to physical formatting to do the relogging because there is no
109infrastructure to keep track of logical changes in memory prior to physically
110formatting the changes in a transaction to the log buffer. Hence we cannot avoid
111accumulating stale objects in the log buffers.
112
113Delayed logging is the name we've given to keeping and tracking transactional
114changes to objects in memory outside the log buffer infrastructure. Because of
115the relogging concept fundamental to the XFS journalling subsystem, this is
116actually relatively easy to do - all the changes to logged items are already
117tracked in the current infrastructure. The big problem is how to accumulate
118them and get them to the log in a consistent, recoverable manner.
119Describing the problems and how they have been solved is the focus of this
120document.
121
122One of the key changes that delayed logging makes to the operation of the
123journalling subsystem is that it disassociates the amount of outstanding
124metadata changes from the size and number of log buffers available. In other
125words, instead of there only being a maximum of 2MB of transaction changes not
126written to the log at any point in time, there may be a much greater amount
127being accumulated in memory. Hence the potential for loss of metadata on a
128crash is much greater than for the existing logging mechanism.
129
130It should be noted that this does not change the guarantee that log recovery
131will result in a consistent filesystem. What it does mean is that as far as the
132recovered filesystem is concerned, there may be many thousands of transactions
133that simply did not occur as a result of the crash. This makes it even more
134important that applications that care about their data use fsync() where they
135need to ensure application level data integrity is maintained.
136
137It should be noted that delayed logging is not an innovative new concept that
138warrants rigorous proofs to determine whether it is correct or not. The method
139of accumulating changes in memory for some period before writing them to the
140log is used effectively in many filesystems including ext3 and ext4. Hence
141no time is spent in this document trying to convince the reader that the
142concept is sound. Instead it is simply considered a "solved problem" and as
143such implementing it in XFS is purely an exercise in software engineering.
144
145The fundamental requirements for delayed logging in XFS are simple:
146
147 1. Reduce the amount of metadata written to the log by at least
148 an order of magnitude.
149 2. Supply sufficient statistics to validate Requirement #1.
150 3. Supply sufficient new tracing infrastructure to be able to debug
151 problems with the new code.
152 4. No on-disk format change (metadata or log format).
153 5. Enable and disable with a mount option.
154 6. No performance regressions for synchronous transaction workloads.
155
156Delayed Logging: Design
157-----------------------
158
159Storing Changes
160
161The problem with accumulating changes at a logical level (i.e. just using the
162existing log item dirty region tracking) is that when it comes to writing the
163changes to the log buffers, we need to ensure that the object we are formatting
164is not changing while we do this. This requires locking the object to prevent
165concurrent modification. Hence flushing the logical changes to the log would
166require us to lock every object, format them, and then unlock them again.
167
168This introduces lots of scope for deadlocks with transactions that are already
169running. For example, a transaction has object A locked and modified, but needs
170the delayed logging tracking lock to commit the transaction. However, the
171flushing thread has the delayed logging tracking lock already held, and is
172trying to get the lock on object A to flush it to the log buffer. This appears
173to be an unsolvable deadlock condition, and it was solving this problem that
174was the barrier to implementing delayed logging for so long.
175
176The solution is relatively simple - it just took a long time to recognise it.
177Put simply, the current logging code formats the changes to each item into an
178vector array that points to the changed regions in the item. The log write code
179simply copies the memory these vectors point to into the log buffer during
180transaction commit while the item is locked in the transaction. Instead of
181using the log buffer as the destination of the formatting code, we can use an
182allocated memory buffer big enough to fit the formatted vector.
183
184If we then copy the vector into the memory buffer and rewrite the vector to
185point to the memory buffer rather than the object itself, we now have a copy of
186the changes in a format that is compatible with the log buffer writing code.
187that does not require us to lock the item to access. This formatting and
188rewriting can all be done while the object is locked during transaction commit,
189resulting in a vector that is transactionally consistent and can be accessed
190without needing to lock the owning item.
191
192Hence we avoid the need to lock items when we need to flush outstanding
193asynchronous transactions to the log. The differences between the existing
194formatting method and the delayed logging formatting can be seen in the
195diagram below.
196
197Current format log vector:
198
199Object +---------------------------------------------+
200Vector 1 +----+
201Vector 2 +----+
202Vector 3 +----------+
203
204After formatting:
205
206Log Buffer +-V1-+-V2-+----V3----+
207
208Delayed logging vector:
209
210Object +---------------------------------------------+
211Vector 1 +----+
212Vector 2 +----+
213Vector 3 +----------+
214
215After formatting:
216
217Memory Buffer +-V1-+-V2-+----V3----+
218Vector 1 +----+
219Vector 2 +----+
220Vector 3 +----------+
221
222The memory buffer and associated vector need to be passed as a single object,
223but still need to be associated with the parent object so if the object is
224relogged we can replace the current memory buffer with a new memory buffer that
225contains the latest changes.
226
227The reason for keeping the vector around after we've formatted the memory
228buffer is to support splitting vectors across log buffer boundaries correctly.
229If we don't keep the vector around, we do not know where the region boundaries
230are in the item, so we'd need a new encapsulation method for regions in the log
231buffer writing (i.e. double encapsulation). This would be an on-disk format
232change and as such is not desirable. It also means we'd have to write the log
233region headers in the formatting stage, which is problematic as there is per
234region state that needs to be placed into the headers during the log write.
235
236Hence we need to keep the vector, but by attaching the memory buffer to it and
237rewriting the vector addresses to point at the memory buffer we end up with a
238self-describing object that can be passed to the log buffer write code to be
239handled in exactly the same manner as the existing log vectors are handled.
240Hence we avoid needing a new on-disk format to handle items that have been
241relogged in memory.
242
243
244Tracking Changes
245
246Now that we can record transactional changes in memory in a form that allows
247them to be used without limitations, we need to be able to track and accumulate
248them so that they can be written to the log at some later point in time. The
249log item is the natural place to store this vector and buffer, and also makes sense
250to be the object that is used to track committed objects as it will always
251exist once the object has been included in a transaction.
252
253The log item is already used to track the log items that have been written to
254the log but not yet written to disk. Such log items are considered "active"
255and as such are stored in the Active Item List (AIL) which is a LSN-ordered
256double linked list. Items are inserted into this list during log buffer IO
257completion, after which they are unpinned and can be written to disk. An object
258that is in the AIL can be relogged, which causes the object to be pinned again
259and then moved forward in the AIL when the log buffer IO completes for that
260transaction.
261
262Essentially, this shows that an item that is in the AIL can still be modified
263and relogged, so any tracking must be separate to the AIL infrastructure. As
264such, we cannot reuse the AIL list pointers for tracking committed items, nor
265can we store state in any field that is protected by the AIL lock. Hence the
266committed item tracking needs it's own locks, lists and state fields in the log
267item.
268
269Similar to the AIL, tracking of committed items is done through a new list
270called the Committed Item List (CIL). The list tracks log items that have been
271committed and have formatted memory buffers attached to them. It tracks objects
272in transaction commit order, so when an object is relogged it is removed from
273it's place in the list and re-inserted at the tail. This is entirely arbitrary
274and done to make it easy for debugging - the last items in the list are the
275ones that are most recently modified. Ordering of the CIL is not necessary for
276transactional integrity (as discussed in the next section) so the ordering is
277done for convenience/sanity of the developers.
278
279
280Delayed Logging: Checkpoints
281
282When we have a log synchronisation event, commonly known as a "log force",
283all the items in the CIL must be written into the log via the log buffers.
284We need to write these items in the order that they exist in the CIL, and they
285need to be written as an atomic transaction. The need for all the objects to be
286written as an atomic transaction comes from the requirements of relogging and
287log replay - all the changes in all the objects in a given transaction must
288either be completely replayed during log recovery, or not replayed at all. If
289a transaction is not replayed because it is not complete in the log, then
290no later transactions should be replayed, either.
291
292To fulfill this requirement, we need to write the entire CIL in a single log
293transaction. Fortunately, the XFS log code has no fixed limit on the size of a
294transaction, nor does the log replay code. The only fundamental limit is that
295the transaction cannot be larger than just under half the size of the log. The
296reason for this limit is that to find the head and tail of the log, there must
297be at least one complete transaction in the log at any given time. If a
298transaction is larger than half the log, then there is the possibility that a
299crash during the write of a such a transaction could partially overwrite the
300only complete previous transaction in the log. This will result in a recovery
301failure and an inconsistent filesystem and hence we must enforce the maximum
302size of a checkpoint to be slightly less than a half the log.
303
304Apart from this size requirement, a checkpoint transaction looks no different
305to any other transaction - it contains a transaction header, a series of
306formatted log items and a commit record at the tail. From a recovery
307perspective, the checkpoint transaction is also no different - just a lot
308bigger with a lot more items in it. The worst case effect of this is that we
309might need to tune the recovery transaction object hash size.
310
311Because the checkpoint is just another transaction and all the changes to log
312items are stored as log vectors, we can use the existing log buffer writing
313code to write the changes into the log. To do this efficiently, we need to
314minimise the time we hold the CIL locked while writing the checkpoint
315transaction. The current log write code enables us to do this easily with the
316way it separates the writing of the transaction contents (the log vectors) from
317the transaction commit record, but tracking this requires us to have a
318per-checkpoint context that travels through the log write process through to
319checkpoint completion.
320
321Hence a checkpoint has a context that tracks the state of the current
322checkpoint from initiation to checkpoint completion. A new context is initiated
323at the same time a checkpoint transaction is started. That is, when we remove
324all the current items from the CIL during a checkpoint operation, we move all
325those changes into the current checkpoint context. We then initialise a new
326context and attach that to the CIL for aggregation of new transactions.
327
328This allows us to unlock the CIL immediately after transfer of all the
329committed items and effectively allow new transactions to be issued while we
330are formatting the checkpoint into the log. It also allows concurrent
331checkpoints to be written into the log buffers in the case of log force heavy
332workloads, just like the existing transaction commit code does. This, however,
333requires that we strictly order the commit records in the log so that
334checkpoint sequence order is maintained during log replay.
335
336To ensure that we can be writing an item into a checkpoint transaction at
337the same time another transaction modifies the item and inserts the log item
338into the new CIL, then checkpoint transaction commit code cannot use log items
339to store the list of log vectors that need to be written into the transaction.
340Hence log vectors need to be able to be chained together to allow them to be
341detatched from the log items. That is, when the CIL is flushed the memory
342buffer and log vector attached to each log item needs to be attached to the
343checkpoint context so that the log item can be released. In diagrammatic form,
344the CIL would look like this before the flush:
345
346 CIL Head
347 |
348 V
349 Log Item <-> log vector 1 -> memory buffer
350 | -> vector array
351 V
352 Log Item <-> log vector 2 -> memory buffer
353 | -> vector array
354 V
355 ......
356 |
357 V
358 Log Item <-> log vector N-1 -> memory buffer
359 | -> vector array
360 V
361 Log Item <-> log vector N -> memory buffer
362 -> vector array
363
364And after the flush the CIL head is empty, and the checkpoint context log
365vector list would look like:
366
367 Checkpoint Context
368 |
369 V
370 log vector 1 -> memory buffer
371 | -> vector array
372 | -> Log Item
373 V
374 log vector 2 -> memory buffer
375 | -> vector array
376 | -> Log Item
377 V
378 ......
379 |
380 V
381 log vector N-1 -> memory buffer
382 | -> vector array
383 | -> Log Item
384 V
385 log vector N -> memory buffer
386 -> vector array
387 -> Log Item
388
389Once this transfer is done, the CIL can be unlocked and new transactions can
390start, while the checkpoint flush code works over the log vector chain to
391commit the checkpoint.
392
393Once the checkpoint is written into the log buffers, the checkpoint context is
394attached to the log buffer that the commit record was written to along with a
395completion callback. Log IO completion will call that callback, which can then
396run transaction committed processing for the log items (i.e. insert into AIL
397and unpin) in the log vector chain and then free the log vector chain and
398checkpoint context.
399
400Discussion Point: I am uncertain as to whether the log item is the most
401efficient way to track vectors, even though it seems like the natural way to do
402it. The fact that we walk the log items (in the CIL) just to chain the log
403vectors and break the link between the log item and the log vector means that
404we take a cache line hit for the log item list modification, then another for
405the log vector chaining. If we track by the log vectors, then we only need to
406break the link between the log item and the log vector, which means we should
407dirty only the log item cachelines. Normally I wouldn't be concerned about one
408vs two dirty cachelines except for the fact I've seen upwards of 80,000 log
409vectors in one checkpoint transaction. I'd guess this is a "measure and
410compare" situation that can be done after a working and reviewed implementation
411is in the dev tree....
412
413Delayed Logging: Checkpoint Sequencing
414
415One of the key aspects of the XFS transaction subsystem is that it tags
416committed transactions with the log sequence number of the transaction commit.
417This allows transactions to be issued asynchronously even though there may be
418future operations that cannot be completed until that transaction is fully
419committed to the log. In the rare case that a dependent operation occurs (e.g.
420re-using a freed metadata extent for a data extent), a special, optimised log
421force can be issued to force the dependent transaction to disk immediately.
422
423To do this, transactions need to record the LSN of the commit record of the
424transaction. This LSN comes directly from the log buffer the transaction is
425written into. While this works just fine for the existing transaction
426mechanism, it does not work for delayed logging because transactions are not
427written directly into the log buffers. Hence some other method of sequencing
428transactions is required.
429
430As discussed in the checkpoint section, delayed logging uses per-checkpoint
431contexts, and as such it is simple to assign a sequence number to each
432checkpoint. Because the switching of checkpoint contexts must be done
433atomically, it is simple to ensure that each new context has a monotonically
434increasing sequence number assigned to it without the need for an external
435atomic counter - we can just take the current context sequence number and add
436one to it for the new context.
437
438Then, instead of assigning a log buffer LSN to the transaction commit LSN
439during the commit, we can assign the current checkpoint sequence. This allows
440operations that track transactions that have not yet completed know what
441checkpoint sequence needs to be committed before they can continue. As a
442result, the code that forces the log to a specific LSN now needs to ensure that
443the log forces to a specific checkpoint.
444
445To ensure that we can do this, we need to track all the checkpoint contexts
446that are currently committing to the log. When we flush a checkpoint, the
447context gets added to a "committing" list which can be searched. When a
448checkpoint commit completes, it is removed from the committing list. Because
449the checkpoint context records the LSN of the commit record for the checkpoint,
450we can also wait on the log buffer that contains the commit record, thereby
451using the existing log force mechanisms to execute synchronous forces.
452
453It should be noted that the synchronous forces may need to be extended with
454mitigation algorithms similar to the current log buffer code to allow
455aggregation of multiple synchronous transactions if there are already
456synchronous transactions being flushed. Investigation of the performance of the
457current design is needed before making any decisions here.
458
459The main concern with log forces is to ensure that all the previous checkpoints
460are also committed to disk before the one we need to wait for. Therefore we
461need to check that all the prior contexts in the committing list are also
462complete before waiting on the one we need to complete. We do this
463synchronisation in the log force code so that we don't need to wait anywhere
464else for such serialisation - it only matters when we do a log force.
465
466The only remaining complexity is that a log force now also has to handle the
467case where the forcing sequence number is the same as the current context. That
468is, we need to flush the CIL and potentially wait for it to complete. This is a
469simple addition to the existing log forcing code to check the sequence numbers
470and push if required. Indeed, placing the current sequence checkpoint flush in
471the log force code enables the current mechanism for issuing synchronous
472transactions to remain untouched (i.e. commit an asynchronous transaction, then
473force the log at the LSN of that transaction) and so the higher level code
474behaves the same regardless of whether delayed logging is being used or not.
475
476Delayed Logging: Checkpoint Log Space Accounting
477
478The big issue for a checkpoint transaction is the log space reservation for the
479transaction. We don't know how big a checkpoint transaction is going to be
480ahead of time, nor how many log buffers it will take to write out, nor the
481number of split log vector regions are going to be used. We can track the
482amount of log space required as we add items to the commit item list, but we
483still need to reserve the space in the log for the checkpoint.
484
485A typical transaction reserves enough space in the log for the worst case space
486usage of the transaction. The reservation accounts for log record headers,
487transaction and region headers, headers for split regions, buffer tail padding,
488etc. as well as the actual space for all the changed metadata in the
489transaction. While some of this is fixed overhead, much of it is dependent on
490the size of the transaction and the number of regions being logged (the number
491of log vectors in the transaction).
492
493An example of the differences would be logging directory changes versus logging
494inode changes. If you modify lots of inode cores (e.g. chmod -R g+w *), then
495there are lots of transactions that only contain an inode core and an inode log
496format structure. That is, two vectors totaling roughly 150 bytes. If we modify
49710,000 inodes, we have about 1.5MB of metadata to write in 20,000 vectors. Each
498vector is 12 bytes, so the total to be logged is approximately 1.75MB. In
499comparison, if we are logging full directory buffers, they are typically 4KB
500each, so we in 1.5MB of directory buffers we'd have roughly 400 buffers and a
501buffer format structure for each buffer - roughly 800 vectors or 1.51MB total
502space. From this, it should be obvious that a static log space reservation is
503not particularly flexible and is difficult to select the "optimal value" for
504all workloads.
505
506Further, if we are going to use a static reservation, which bit of the entire
507reservation does it cover? We account for space used by the transaction
508reservation by tracking the space currently used by the object in the CIL and
509then calculating the increase or decrease in space used as the object is
510relogged. This allows for a checkpoint reservation to only have to account for
511log buffer metadata used such as log header records.
512
513However, even using a static reservation for just the log metadata is
514problematic. Typically log record headers use at least 16KB of log space per
5151MB of log space consumed (512 bytes per 32k) and the reservation needs to be
516large enough to handle arbitrary sized checkpoint transactions. This
517reservation needs to be made before the checkpoint is started, and we need to
518be able to reserve the space without sleeping. For a 8MB checkpoint, we need a
519reservation of around 150KB, which is a non-trivial amount of space.
520
521A static reservation needs to manipulate the log grant counters - we can take a
522permanent reservation on the space, but we still need to make sure we refresh
523the write reservation (the actual space available to the transaction) after
524every checkpoint transaction completion. Unfortunately, if this space is not
525available when required, then the regrant code will sleep waiting for it.
526
527The problem with this is that it can lead to deadlocks as we may need to commit
528checkpoints to be able to free up log space (refer back to the description of
529rolling transactions for an example of this). Hence we *must* always have
530space available in the log if we are to use static reservations, and that is
531very difficult and complex to arrange. It is possible to do, but there is a
532simpler way.
533
534The simpler way of doing this is tracking the entire log space used by the
535items in the CIL and using this to dynamically calculate the amount of log
536space required by the log metadata. If this log metadata space changes as a
537result of a transaction commit inserting a new memory buffer into the CIL, then
538the difference in space required is removed from the transaction that causes
539the change. Transactions at this level will *always* have enough space
540available in their reservation for this as they have already reserved the
541maximal amount of log metadata space they require, and such a delta reservation
542will always be less than or equal to the maximal amount in the reservation.
543
544Hence we can grow the checkpoint transaction reservation dynamically as items
545are added to the CIL and avoid the need for reserving and regranting log space
546up front. This avoids deadlocks and removes a blocking point from the
547checkpoint flush code.
548
549As mentioned early, transactions can't grow to more than half the size of the
550log. Hence as part of the reservation growing, we need to also check the size
551of the reservation against the maximum allowed transaction size. If we reach
552the maximum threshold, we need to push the CIL to the log. This is effectively
553a "background flush" and is done on demand. This is identical to
554a CIL push triggered by a log force, only that there is no waiting for the
555checkpoint commit to complete. This background push is checked and executed by
556transaction commit code.
557
558If the transaction subsystem goes idle while we still have items in the CIL,
559they will be flushed by the periodic log force issued by the xfssyncd. This log
560force will push the CIL to disk, and if the transaction subsystem stays idle,
561allow the idle log to be covered (effectively marked clean) in exactly the same
562manner that is done for the existing logging method. A discussion point is
563whether this log force needs to be done more frequently than the current rate
564which is once every 30s.
565
566
567Delayed Logging: Log Item Pinning
568
569Currently log items are pinned during transaction commit while the items are
570still locked. This happens just after the items are formatted, though it could
571be done any time before the items are unlocked. The result of this mechanism is
572that items get pinned once for every transaction that is committed to the log
573buffers. Hence items that are relogged in the log buffers will have a pin count
574for every outstanding transaction they were dirtied in. When each of these
575transactions is completed, they will unpin the item once. As a result, the item
576only becomes unpinned when all the transactions complete and there are no
577pending transactions. Thus the pinning and unpinning of a log item is symmetric
578as there is a 1:1 relationship with transaction commit and log item completion.
579
580For delayed logging, however, we have an assymetric transaction commit to
581completion relationship. Every time an object is relogged in the CIL it goes
582through the commit process without a corresponding completion being registered.
583That is, we now have a many-to-one relationship between transaction commit and
584log item completion. The result of this is that pinning and unpinning of the
585log items becomes unbalanced if we retain the "pin on transaction commit, unpin
586on transaction completion" model.
587
588To keep pin/unpin symmetry, the algorithm needs to change to a "pin on
589insertion into the CIL, unpin on checkpoint completion". In other words, the
590pinning and unpinning becomes symmetric around a checkpoint context. We have to
591pin the object the first time it is inserted into the CIL - if it is already in
592the CIL during a transaction commit, then we do not pin it again. Because there
593can be multiple outstanding checkpoint contexts, we can still see elevated pin
594counts, but as each checkpoint completes the pin count will retain the correct
595value according to it's context.
596
597Just to make matters more slightly more complex, this checkpoint level context
598for the pin count means that the pinning of an item must take place under the
599CIL commit/flush lock. If we pin the object outside this lock, we cannot
600guarantee which context the pin count is associated with. This is because of
601the fact pinning the item is dependent on whether the item is present in the
602current CIL or not. If we don't pin the CIL first before we check and pin the
603object, we have a race with CIL being flushed between the check and the pin
604(or not pinning, as the case may be). Hence we must hold the CIL flush/commit
605lock to guarantee that we pin the items correctly.
606
607Delayed Logging: Concurrent Scalability
608
609A fundamental requirement for the CIL is that accesses through transaction
610commits must scale to many concurrent commits. The current transaction commit
611code does not break down even when there are transactions coming from 2048
612processors at once. The current transaction code does not go any faster than if
613there was only one CPU using it, but it does not slow down either.
614
615As a result, the delayed logging transaction commit code needs to be designed
616for concurrency from the ground up. It is obvious that there are serialisation
617points in the design - the three important ones are:
618
619 1. Locking out new transaction commits while flushing the CIL
620 2. Adding items to the CIL and updating item space accounting
621 3. Checkpoint commit ordering
622
623Looking at the transaction commit and CIL flushing interactions, it is clear
624that we have a many-to-one interaction here. That is, the only restriction on
625the number of concurrent transactions that can be trying to commit at once is
626the amount of space available in the log for their reservations. The practical
627limit here is in the order of several hundred concurrent transactions for a
628128MB log, which means that it is generally one per CPU in a machine.
629
630The amount of time a transaction commit needs to hold out a flush is a
631relatively long period of time - the pinning of log items needs to be done
632while we are holding out a CIL flush, so at the moment that means it is held
633across the formatting of the objects into memory buffers (i.e. while memcpy()s
634are in progress). Ultimately a two pass algorithm where the formatting is done
635separately to the pinning of objects could be used to reduce the hold time of
636the transaction commit side.
637
638Because of the number of potential transaction commit side holders, the lock
639really needs to be a sleeping lock - if the CIL flush takes the lock, we do not
640want every other CPU in the machine spinning on the CIL lock. Given that
641flushing the CIL could involve walking a list of tens of thousands of log
642items, it will get held for a significant time and so spin contention is a
643significant concern. Preventing lots of CPUs spinning doing nothing is the
644main reason for choosing a sleeping lock even though nothing in either the
645transaction commit or CIL flush side sleeps with the lock held.
646
647It should also be noted that CIL flushing is also a relatively rare operation
648compared to transaction commit for asynchronous transaction workloads - only
649time will tell if using a read-write semaphore for exclusion will limit
650transaction commit concurrency due to cache line bouncing of the lock on the
651read side.
652
653The second serialisation point is on the transaction commit side where items
654are inserted into the CIL. Because transactions can enter this code
655concurrently, the CIL needs to be protected separately from the above
656commit/flush exclusion. It also needs to be an exclusive lock but it is only
657held for a very short time and so a spin lock is appropriate here. It is
658possible that this lock will become a contention point, but given the short
659hold time once per transaction I think that contention is unlikely.
660
661The final serialisation point is the checkpoint commit record ordering code
662that is run as part of the checkpoint commit and log force sequencing. The code
663path that triggers a CIL flush (i.e. whatever triggers the log force) will enter
664an ordering loop after writing all the log vectors into the log buffers but
665before writing the commit record. This loop walks the list of committing
666checkpoints and needs to block waiting for checkpoints to complete their commit
667record write. As a result it needs a lock and a wait variable. Log force
668sequencing also requires the same lock, list walk, and blocking mechanism to
669ensure completion of checkpoints.
670
671These two sequencing operations can use the mechanism even though the
672events they are waiting for are different. The checkpoint commit record
673sequencing needs to wait until checkpoint contexts contain a commit LSN
674(obtained through completion of a commit record write) while log force
675sequencing needs to wait until previous checkpoint contexts are removed from
676the committing list (i.e. they've completed). A simple wait variable and
677broadcast wakeups (thundering herds) has been used to implement these two
678serialisation queues. They use the same lock as the CIL, too. If we see too
679much contention on the CIL lock, or too many context switches as a result of
680the broadcast wakeups these operations can be put under a new spinlock and
681given separate wait lists to reduce lock contention and the number of processes
682woken by the wrong event.
683
684
685Lifecycle Changes
686
687The existing log item life cycle is as follows:
688
689 1. Transaction allocate
690 2. Transaction reserve
691 3. Lock item
692 4. Join item to transaction
693 If not already attached,
694 Allocate log item
695 Attach log item to owner item
696 Attach log item to transaction
697 5. Modify item
698 Record modifications in log item
699 6. Transaction commit
700 Pin item in memory
701 Format item into log buffer
702 Write commit LSN into transaction
703 Unlock item
704 Attach transaction to log buffer
705
706 <log buffer IO dispatched>
707 <log buffer IO completes>
708
709 7. Transaction completion
710 Mark log item committed
711 Insert log item into AIL
712 Write commit LSN into log item
713 Unpin log item
714 8. AIL traversal
715 Lock item
716 Mark log item clean
717 Flush item to disk
718
719 <item IO completion>
720
721 9. Log item removed from AIL
722 Moves log tail
723 Item unlocked
724
725Essentially, steps 1-6 operate independently from step 7, which is also
726independent of steps 8-9. An item can be locked in steps 1-6 or steps 8-9
727at the same time step 7 is occurring, but only steps 1-6 or 8-9 can occur
728at the same time. If the log item is in the AIL or between steps 6 and 7
729and steps 1-6 are re-entered, then the item is relogged. Only when steps 8-9
730are entered and completed is the object considered clean.
731
732With delayed logging, there are new steps inserted into the life cycle:
733
734 1. Transaction allocate
735 2. Transaction reserve
736 3. Lock item
737 4. Join item to transaction
738 If not already attached,
739 Allocate log item
740 Attach log item to owner item
741 Attach log item to transaction
742 5. Modify item
743 Record modifications in log item
744 6. Transaction commit
745 Pin item in memory if not pinned in CIL
746 Format item into log vector + buffer
747 Attach log vector and buffer to log item
748 Insert log item into CIL
749 Write CIL context sequence into transaction
750 Unlock item
751
752 <next log force>
753
754 7. CIL push
755 lock CIL flush
756 Chain log vectors and buffers together
757 Remove items from CIL
758 unlock CIL flush
759 write log vectors into log
760 sequence commit records
761 attach checkpoint context to log buffer
762
763 <log buffer IO dispatched>
764 <log buffer IO completes>
765
766 8. Checkpoint completion
767 Mark log item committed
768 Insert item into AIL
769 Write commit LSN into log item
770 Unpin log item
771 9. AIL traversal
772 Lock item
773 Mark log item clean
774 Flush item to disk
775 <item IO completion>
776 10. Log item removed from AIL
777 Moves log tail
778 Item unlocked
779
780From this, it can be seen that the only life cycle differences between the two
781logging methods are in the middle of the life cycle - they still have the same
782beginning and end and execution constraints. The only differences are in the
783commiting of the log items to the log itself and the completion processing.
784Hence delayed logging should not introduce any constraints on log item
785behaviour, allocation or freeing that don't already exist.
786
787As a result of this zero-impact "insertion" of delayed logging infrastructure
788and the design of the internal structures to avoid on disk format changes, we
789can basically switch between delayed logging and the existing mechanism with a
790mount option. Fundamentally, there is no reason why the log manager would not
791be able to swap methods automatically and transparently depending on load
792characteristics, but this should not be necessary if delayed logging works as
793designed.