From 'man gcc': passing 0 as the argument to "__builtin_ctz" or
"__builtin_clz" invokes undefined behavior. This triggers UBsan
in HAProxy.
[wt: tested in treebench and verified not to cause any performance
regression with opstime-u32 nor stress-u32]
Signed-off-by: Willy Tarreau <w@1wt.eu>
This is ebtree commit 8c29daf9fa6e34de8c7684bb7713e93dcfe09029.
Signed-off-by: Willy Tarreau <w@1wt.eu>
This is ebtree commit cf3b93736cb550038325e1d99861358d65f70e9a.
While the previous optimizations couldn't be preserved due to the
possibility of out-of-bounds accesses, at least the prefetch is useful.
A test on treebench shows that for 64k short strings, the lookup time
falls from 276 to 199ns per lookup (28% savings), and the insert falls
from 311 to 296ns (4.9% savings), which are pretty respectable, so
let's do this.
This is ebtree commit b44ea5d07dc1594d62c3a902783ed1fb133f568d.
It looks like __builtin_prefetch() appeared in gcc-3.1 as there's no
mention of it in 3.0's doc. Let's replace it with eb_prefetch() which
maps to __builtin_prefetch() on supported compilers and falls back to
the usual do{}while(0) on other ones. It was tested to properly build
with tcc as well as gcc-2.95.
This is ebtree commit 7ee6ede56a57a046cb552ed31302b93ff1a21b1a.
Similar to previous patches, let's improve the insert() descent loop to
avoid discovering mandatory data too late. The change here is even
simpler than previous ones, a prefetch was installed and troot is
calculated before last instruction in a speculative way. This was enough
to gain +50% insertion rate on random data.
This is ebtree commit e893f8cc4d44b10f406b9d1d78bd4a9bd9183ccf.
This is the same principles as for the latest improvements made on
integer trees. Applying the same recipes made the ebmb_lookup()
function jump from 10.07 to 12.25 million lookups per second on a
10k random values tree (+21.6%).
It's likely that the ebmb_lookup_longest() code could also benefit
from this, though this was neither explored nor tested.
This is ebtree commit a159731fd6b91648a2fef3b953feeb830438c924.
In the loop we can help the compiler build slightly more efficient code
by placing an unlikely() around the leaf test. This shows a consistent
0.5% performance gain both on eb32 and eb64.
This is ebtree commit 6c9cdbda496837bac1e0738c14e42faa0d1b92c4.
This one was previously used to preload from the node and keep a copy
in a register on i386 machines with few registers. With the new more
optimal code it's totally useless, so let's get rid of it. By the way
the 64 bit code didn't use that at all already.
This is ebtree commit 1e219a74cfa09e785baf3637b6d55993d88b47ef.
Instead of shifting the XOR value right and comparing it to 1, which
roughly requires 2 sequential instructions, better test if the XOR has
any bit above the current bit, which means any bit set among those
strictly higher, or in other words that XOR & (-bit << 1) is non-zero.
This is one less instruction in the fast path and gives another nice
performance gain on random keys (in million lookups/s):
eb32 1k: 33.17 -> 37.30 +12.5%
10k: 15.74 -> 17.08 +8.51%
100k: 8.00 -> 9.00 +12.5%
eb64 1k: 34.40 -> 38.10 +10.8%
10k: 16.17 -> 17.10 +5.75%
100k: 8.38 -> 8.87 +5.85%
This is ebtree commit c942a2771758eed4f4584fe23cf2914573817a6b.
The current code calculates the next troot based on a calculation.
This was efficient when the algorithm was developed many years ago
on K6 and K7 CPUs running at low frequencies with few registers and
limited branch prediction units but nowadays with ultra-deep pipelines
and high latency memory that's no longer efficient, because the CPU
needs to have completed multiple operations before knowing which
address to start fetching from. It's sad because we only have two
branches each time but the CPU cannot know it. In addition, the
calculation is performed late in the loop, which does not help the
address generation unit to start prefetching next data.
Instead we should help the CPU by preloading data early from the node
and calculing troot as soon as possible. The CPU will be able to
postpone that processing until the dependencies are available and it
really needs to dereference it. In addition we must absolutely avoid
serializing instructions such as "(a >> b) & 1" because there's no
way for the compiler to parallelize that code nor for the CPU to pre-
process some early data.
What this patch does is relatively simple:
- we try to prefetch the next two branches as soon as the
node is known, which will help dereference the selected node in
the next iteration; it was shown that it only works with the next
changes though, otherwise it can reduce the performance instead.
In practice the prefetching will start a bit later once the node
is really in the cache, but since there's no dependency between
these instructions and any other one, we let the CPU optimize as
it wants.
- we preload all important data from the node (next two branches,
key and node.bit) very early even if not immediately needed.
This is cheap, it doesn't cause any pipeline stall and speeds
up later operations.
- we pre-calculate 1<<bit that we assign into a register, so as
to avoid serializing instructions when deciding which branch to
take.
- we assign the troot based on a ternary operation (or if/else) so
that the CPU knows upfront the two possible next addresses without
waiting for the end of a calculation and can prefetch their contents
every time the branch prediction unit guesses right.
Just doing this provides significant gains at various tree sizes on
random keys (in million lookups per second):
eb32 1k: 29.07 -> 33.17 +14.1%
10k: 14.27 -> 15.74 +10.3%
100k: 6.64 -> 8.00 +20.5%
eb64 1k: 27.51 -> 34.40 +25.0%
10k: 13.54 -> 16.17 +19.4%
100k: 7.53 -> 8.38 +11.3%
The performance is now much closer to the sequential keys. This was
done for all variants ({32,64}{,i,le,ge}).
Another point, the equality test in the loop improves the performance
when looking up random keys (since we don't need to reach the leaf),
but is counter-productive for sequential keys, which can gain ~17%
without that test. However sequential keys are normally not used with
exact lookups, but rather with lookup_ge() that spans a time frame,
and which does not have that test for this precise reason, so in the
end both use cases are served optimally.
It's interesting to note that everything here is solely based on data
dependencies, and that trying to perform *less* operations upfront
always ends up with lower performance (typically the original one).
This is ebtree commit 05a0613e97f51b6665ad5ae2801199ad55991534.
Let's explicitly mention that fe_counters_shared_tg and
be_counters_shared_tg structs are embedded in shm_stats_file_object
struct so any change in those structs will result in shm stats file
incompatibility between processes, thus extra precaution must be
taken when making changes to them.
Note that the provisionning made in shm_stats_file_object struct could
be used to add members to {fe,be}_counters_shared_tg without changing
shm_stats_file_object struct size if needed in order to preserve
shm stats file version.
The variables trees use the immediate cebtree API, better use the
item one which is more expressive and safer. The "node" field was
renamed to "name_node" to avoid any ambiguity.
Previously the conn_hash_node was placed outside the connection due
to the big size of the eb64_node that could have negatively impacted
frontend connections. But having it outside also means that one
extra allocation is needed for each backend connection, and that one
memory indirection is needed for each lookup.
With the compact trees, the tree node is smaller (16 bytes vs 40) so
the overhead is much lower. By integrating it into the connection,
We're also eliminating one pointer from the connection to the hash
node and one pointer from the hash node to the connection (in addition
to the extra object bookkeeping). This results in saving at least 24
bytes per total backend connection, and only inflates connections by
16 bytes (from 240 to 256), which is a reasonable compromise.
Tests on a 64-core EPYC show a 2.4% increase in the request rate
(from 2.08 to 2.13 Mrps).
Idle connection trees currently require a 56-byte conn_hash_node per
connection, which can be reduced to 32 bytes by moving to ceb64. While
ceb64 is theoretically slower, in practice here we're essentially
dealing with trees that almost always contain a single key and many
duplicates. In this case, ceb64 insert and lookup functions become
faster than eb64 ones because all duplicates are a list accessed in
O(1) while it's a subtree for eb64. In tests it is impossible to tell
the difference between the two, so it's worth reducing the memory
usage.
This commit brings the following memory savings to conn_hash_node
(one per backend connection), and to srv_per_thread (one per thread
and per server):
struct before after delta
conn_hash_nodea 56 32 -24
srv_per_thread 96 72 -24
The delicate part is conn_delete_from_tree(), because we need to
know the tree root the connection is attached to. But thanks to
recent cleanups, it's now clear enough (i.e. idle/safe/avail vs
session are easy to distinguish).
We'll soon need to choose the server's root based on the connection's
flags, and for this we'll need the thread it's attached to, which is
not always the current one. This patch simply passes the thread number
from all callers. They know it because they just set the idle_conns
lock on it prior to calling the function.
The proxy struct has several small holes that deserved being plugged by
moving a few fields around. Now we're down to 3056 from 3072 previously,
and the remaining holes are small.
At the moment, compared to before this series, we're seeing these
sizes:
type\size 7d554ca62 current delta
listener 752 704 -48 (-6.4%)
server 4032 3840 -192 (-4.8%)
proxy 3184 3056 -128 (-4%)
stktable 3392 3328 -64 (-1.9%)
Configs with many servers have shrunk by about 4% in RAM and configs
with many proxies by about 3%.
The struct server still has a lot of holes and padding that make it
quite big. By moving a few fields aronud between areas which do not
interact (e.g. boot vs aligned areas), it's quite easy to plug some
of them and/or to arrange larger ones which could be reused later with
a bit more effort. Here we've reduced holes by 40 bytes, allowing the
struct to shrink by one more cache line (64 bytes). The new size is
3840 bytes.
The server ID is currently stored as a 32-bit int using an eb32 tree.
It's used essentially to find holes in order to automatically assign IDs,
and to detect duplicates. Let's change this to use compact trees instead
in order to save 24 bytes in struct server for this node, plus 8 bytes in
struct proxy. The server struct is still 3904 bytes large (due to
alignment) and the proxy struct is 3072.
The listener ID is currently stored as a 32-bit int using an eb32 tree.
It's used essentially to find holes in order to automatically assign IDs,
and to detect duplicates. Let's change this to use compact trees instead
in order to save 24 bytes in struct listener for this node, plus 8 bytes
in struct proxy. The struct listener is now 704 bytes large, and the
struct proxy 3080.
The proxy ID is currently stored as a 32-bit int using an eb32 tree.
It's used essentially to find holes in order to automatically assign IDs,
and to detect duplicates. Let's change this to use compact trees instead
in order to save 24 bytes in struct proxy for this node, plus 8 bytes in
the root (which is static so not much relevant here). Now the proxy is
3088 bytes large.
This was previously achieved via the generic get_next_id() but we'll soon
get rid of generic ID trees so let's have a dedicated server_get_next_id().
As a bonus it reduces the exposure of the tree's root outside of the functions.
This was previously achieved via the generic get_next_id() but we'll soon
get rid of generic ID trees so let's have a dedicated listener_get_next_id().
As a bonus it reduces the exposure of the tree's root outside of the functions.
This is used to index the proxy's name and it contains a copy of the
pointer to the proxy's name in <id>. Changing that for a ceb_node placed
just before <id> saves 32 bytes to the struct proxy, which is now 3112
bytes large.
Here we need to continue to support duplicates since they're still
allowed between type-incompatible proxies.
Interestingly, the use of cebis_next_dup() instead of cebis_next() in
proxy_find_by_name() allows us to get rid of an strcmp() that was
performed for each use_backend rule. A test with a large config
(100k backends) shows that we can get 3% extra performance on a
config involving a static use_backend rule (3.09M to 3.18M rps),
and even 4.5% on a dynamic rule selecting a random backend (2.47M
to 2.59M).
This member is used to index the hostname_dn contents for DNS resolution.
Let's replace it with a cebis_tree to save another 32 bytes (24 for the
node + 8 by avoiding the duplication of the pointer). The struct server is
now at 3904 bytes.
This is used to index the server name and it contains a copy of the
pointer to the server's name in <id>. Changing that for a ceb_node placed
just before <id> saves 32 bytes to the struct server, which remains 3968
bytes large due to alignment. The proxy struct shrinks by 8 bytes to 3144.
It's worth noting that the current way duplicate names are handled remains
based on the previous mechanism where dups were permitted. Ideally we
should now reject them during insertion and use unique key trees instead.
This contains the text representation of the server's address, for use
with stick-tables with "srvkey addr". Switching them to a compact node
saves 24 more bytes from this structure. The key was moved to an external
pointer "addr_key" right after the node.
The server struct is now 3968 bytes (down from 4032) due to alignment, and
the proxy struct shrinks by 8 bytes to 3152.
The current guid struct size is 56 bytes. Once reduced using compact
trees, it goes down to 32 (almost half). We're not on a critical path
and size matters here, so better switch to this.
It's worth noting that the name part could also be stored in the
guid_node at the end to save 8 extra byte (no pointer needed anymore),
however the purpose of this struct is to be embedded into other ones,
which is not compatible with having a dynamic size.
Affected struct sizes in bytes:
Before After Diff
server 4032 4032 0*
proxy 3184 3160 -24
listener 752 728 -24
*: struct server is full of holes and padding (176 bytes) and is
64-byte aligned. Moving the guid_node elsewhere such as after sess_conn
reduces it to 3968, or one less cache line. There's no point in moving
anything now because forthcoming patches will arrange other parts.
cebs_tree are 24 bytes smaller than ebst_tree (16B vs 40B), and pattern
references are only used during map/acl updates, so their storage is
pure loss between updates (which most of the time never happen). By
switching their indexing to compact trees, we can save 16 to 24 bytes
per entry depending on alightment (here it's 24 per struct but 16
practical as malloc's alignment keeps 8 unused).
Tested on core i7-8650U running at 3.0 GHz, with a file containing
17.7M IP addresses (16.7M different):
$ time ./haproxy -c -f acl-ip.cfg
Save 280 MB RAM for 17.7M IP addresses, and slightly speeds up the
startup (5.8%, from 19.2s to 18.2s), a part of which possible being
attributed to having to write less memory. Note that this is on small
strings. On larger ones such as user-agents, ebtree doesn't reread
the whole key and might be more efficient.
Before:
RAM (VSZ/RSS): 4443912 3912444
real 0m19.211s
user 0m18.138s
sys 0m1.068s
Overhead Command Shared Object Symbol
44.79% haproxy haproxy [.] ebst_insert
25.07% haproxy haproxy [.] ebmb_insert_prefix
3.44% haproxy libc-2.33.so [.] __libc_calloc
2.71% haproxy libc-2.33.so [.] _int_malloc
2.33% haproxy haproxy [.] free_pattern_tree
1.78% haproxy libc-2.33.so [.] inet_pton4
1.62% haproxy libc-2.33.so [.] _IO_fgets
1.58% haproxy libc-2.33.so [.] _int_free
1.56% haproxy haproxy [.] pat_ref_push
1.35% haproxy libc-2.33.so [.] malloc_consolidate
1.16% haproxy libc-2.33.so [.] __strlen_avx2
0.79% haproxy haproxy [.] pat_idx_tree_ip
0.76% haproxy haproxy [.] pat_ref_read_from_file
0.60% haproxy libc-2.33.so [.] __strrchr_avx2
0.55% haproxy libc-2.33.so [.] unlink_chunk.constprop.0
0.54% haproxy libc-2.33.so [.] __memchr_avx2
0.46% haproxy haproxy [.] pat_ref_append
After:
RAM (VSZ/RSS): 4166108 3634768
real 0m18.114s
user 0m17.113s
sys 0m0.996s
Overhead Command Shared Object Symbol
38.99% haproxy haproxy [.] cebs_insert
27.09% haproxy haproxy [.] ebmb_insert_prefix
3.63% haproxy libc-2.33.so [.] __libc_calloc
3.18% haproxy libc-2.33.so [.] _int_malloc
2.69% haproxy haproxy [.] free_pattern_tree
1.99% haproxy libc-2.33.so [.] inet_pton4
1.74% haproxy libc-2.33.so [.] _IO_fgets
1.73% haproxy libc-2.33.so [.] _int_free
1.57% haproxy haproxy [.] pat_ref_push
1.48% haproxy libc-2.33.so [.] malloc_consolidate
1.22% haproxy libc-2.33.so [.] __strlen_avx2
1.05% haproxy libc-2.33.so [.] __strcmp_avx2
0.80% haproxy haproxy [.] pat_idx_tree_ip
0.74% haproxy libc-2.33.so [.] __memchr_avx2
0.69% haproxy libc-2.33.so [.] __strrchr_avx2
0.69% haproxy libc-2.33.so [.] _IO_getline_info
0.62% haproxy haproxy [.] pat_ref_read_from_file
0.56% haproxy libc-2.33.so [.] unlink_chunk.constprop.0
0.56% haproxy libc-2.33.so [.] cfree@GLIBC_2.2.5
0.46% haproxy haproxy [.] pat_ref_append
If the addresses are totally disordered (via "shuf" on the input file),
we see both implementations reach exactly 68.0s (slower due to much
higher cache miss ratio).
On large strings such as user agents (1 million here), it's now slightly
slower (+9%):
Before:
real 0m2.475s
user 0m2.316s
sys 0m0.155s
After:
real 0m2.696s
user 0m2.544s
sys 0m0.147s
But such patterns are much less common than short ones, and the memory
savings do still count.
Note that while it could be tempting to get rid of the list that chains
all these pat_ref_elt together and only enumerate them by walking along
the tree to save 16 extra bytes per entry, that's not possible due to
the problem that insertion ordering is critical (think overlapping regex
such as /index.* and /index.html). Currently it's not possible to proceed
differently because patterns are first pre-loaded into the pat_ref via
pat_ref_read_from_file_smp() and later indexed by pattern_read_from_file(),
which has to only redo the second part anyway for maps/acls declared
multiple times.
The support for duplicates is necessary for various use cases related
to config names, so let's upgrade to the latest version which brings
this support. This updates the cebtree code to commit 808ed67 (tag
0.5.0). A few tiny adaptations were needed:
- replace a few ceb_node** with ceb_root** since pointers are now
tagged ;
- replace cebu*.h with ceb*.h since both are now merged in the same
include file. This way we can drop the unused cebu*.h files from
cebtree that are provided only for compatibility.
- rename immediate storage functions to cebXX_imm_XXX() as per the API
change in 0.5 that makes immediate explicit rather than implicit.
This only affects vars and tools.c:copy_file_name().
The tests continue to work.
If an ocsp response is set to be updated automatically and some
certificate or CA updates are performed on the CLI, if the CLI update
happens while the OCSP response is being updated and is then detached
from the udapte tree, it might be wrongly inserted into the update tree
in 'ssl_sock_load_ocsp', and then reinserted when the update finishes.
The update tree then gets corrupted and we could end up crashing when
accessing other nodes in the ocsp response update tree.
This patch must be backported up to 2.8.
This patch fixes GitHub #3100.
An eb tree was used to anticipate for infinite amount of custom log steps
configured at a proxy level. In turns out this makes no sense to configure
that much logging steps for a proxy, and the cost of the eb tree is non
negligible in terms of memory footprint, especially when used in a default
section.
Instead, let's use a simple bitmask, which allows up to 64 logging steps
configured at proxy level. If we lack space some day (and need more than
64 logging steps to be configured), we could simply modify
"struct log_steps" to spread the bitmask over multiple 64bits integers,
minor some adjustments where the mask is set and checked.
If an ocsp response is set to be updated automatically and some
certificate or CA updates are performed on the CLI, if the CLI update
happens while the OCSP response is being updated and is then detached
from the udapte tree, it might be wrongly inserted into the update tree
in 'ssl_sock_load_ocsp', and then reinserted when the update finishes.
The update tree then gets corrupted and we could end up crashing when
accessing other nodes in the ocsp response update tree.
This patch must be backported up to 2.8.
This patch fixes GitHub #3100.
By checking the current thread's locking status, it becomes possible
to know during a memory allocation whether it's performed under a lock
or not. Both pools and memprofile functions were instrumented to check
for this and to increment the memprofile bin's locked_calls counter.
This one, when not zero, is reported on "show profiling memory" with a
percentage of all allocations that such locked allocations represent.
This way it becomes possible to try to target certain code paths that
are particularly expensive. Example:
$ socat - /tmp/sock1 <<< "show profiling memory"|grep lock
20297301 0 2598054528 0| 0x62a820fa3991 sockaddr_alloc+0x61/0xa3 p_alloc(128) [pool=sockaddr] [locked=54962 (0.2 %)]
0 20297301 0 2598054528| 0x62a820fa3a24 sockaddr_free+0x44/0x59 p_free(-128) [pool=sockaddr] [locked=34300 (0.1 %)]
9908432 0 1268279296 0| 0x62a820eb8524 main+0x81974 p_alloc(128) [pool=task] [locked=9908432 (100.0 %)]
9908432 0 554872192 0| 0x62a820eb85a6 main+0x819f6 p_alloc(56) [pool=tasklet] [locked=9908432 (100.0 %)]
263001 0 63120240 0| 0x62a820fa3c97 conn_new+0x37/0x1b2 p_alloc(240) [pool=connection] [locked=20662 (7.8 %)]
71643 0 47307584 0| 0x62a82105204d pool_get_from_os_noinc+0x12d/0x161 posix_memalign(660) [locked=5393 (7.5 %)]
When task profiling is enabled, the pool alloc/free code will measure the
time it takes to perform memory allocation after a cache miss or memory
freeing to the shared cache or OS. The time taken with the thread-local
cache is never measured as measuring that time is very expensive compared
to the pool access time. Here doing so costs around 2% performance at 2M
req/s, only when task profiling is enabled, so this remains reasonable.
The scheduler takes care of collecting that time and updating the
sched_activity entry corresponding to the current task when task profiling
is enabled.
The goal clearly is to track places that are wasting CPU time allocating
and releasing too often, or causing large evictions. This appears like
this in "show profiling tasks aggr":
Tasks activity over 11.428 sec till 0.000 sec ago:
function calls cpu_tot cpu_avg lkw_avg lkd_avg mem_avg lat_avg
process_stream 44183891 16.47m 22.36us 491.0ns 1.154us 1.000ns 101.1us
h1_io_cb 57386064 4.011m 4.193us 20.00ns 16.00ns - 29.47us
sc_conn_io_cb 42088024 49.04s 1.165us - - - 54.67us
h1_timeout_task 438171 196.5ms 448.0ns - - - 100.1us
srv_cleanup_toremove_conns 65 1.468ms 22.58us 184.0ns 87.00ns - 101.3us
task_process_applet 3 508.0us 169.3us - 107.0us 1.847us 29.67us
srv_cleanup_idle_conns 6 225.3us 37.55us 15.74us 36.84us - 49.47us
accept_queue_process 2 45.62us 22.81us - - 4.949us 54.33us
This new column will be used for reporting the average time spent
allocating or freeing memory in a task when task profiling is enabled.
For now it is not updated.
When DEBUG_THREAD > 0 and task profiling enabled, we'll now measure the
time spent with at least one lock held for each task. The time is
collected by locking operations when locks are taken raising the level
to one, or released resetting the level. An accumulator is updated in
the thread_ctx struct that is collected by the scheduler when the task
returns, and updated in the sched_activity entry of the related task.
This allows to observe figures like this one:
Tasks activity over 259.516 sec till 0.000 sec ago:
function calls cpu_tot cpu_avg lkw_avg lkd_avg lat_avg
h1_io_cb 15466589 2.574m 9.984us - - 33.45us <- sock_conn_iocb@src/sock.c:1099 tasklet_wakeup
sc_conn_io_cb 8047994 8.325s 1.034us - - 870.1us <- sc_app_chk_rcv_conn@src/stconn.c:844 tasklet_wakeup
process_stream 7734689 4.356m 33.79us 1.990us 1.641us 1.554ms <- sc_notify@src/stconn.c:1206 task_wakeup
process_stream 7734292 46.74m 362.6us 278.3us 132.2us 972.0us <- stream_new@src/stream.c:585 task_wakeup
sc_conn_io_cb 7733158 46.88s 6.061us - - 68.78us <- h1_wake_stream_for_recv@src/mux_h1.c:3633 tasklet_wakeup
task_process_applet 6603593 4.484m 40.74us 16.69us 34.00us 96.47us <- sc_app_chk_snd_applet@src/stconn.c:1043 appctx_wakeup
task_process_applet 4761796 3.420m 43.09us 18.79us 39.28us 138.2us <- __process_running_peer_sync@src/peers.c:3579 appctx_wakeup
process_table_expire 4710662 4.880m 62.16us 9.648us 53.95us 158.6us <- run_tasks_from_lists@src/task.c:671 task_queue
stktable_add_pend_updates 4171868 6.786s 1.626us - 1.487us 47.94us <- stktable_add_pend_updates@src/stick_table.c:869 tasklet_wakeup
h1_io_cb 2871683 1.198s 417.0ns 70.00ns 69.00ns 1.005ms <- h1_takeover@src/mux_h1.c:5659 tasklet_wakeup
process_peer_sync 2304957 5.368s 2.328us - 1.156us 68.54us <- stktable_add_pend_updates@src/stick_table.c:873 task_wakeup
process_peer_sync 1388141 3.174s 2.286us - 1.130us 52.31us <- run_tasks_from_lists@src/task.c:671 task_queue
stktable_add_pend_updates 463488 3.530s 7.615us 2.000ns 7.134us 771.2us <- stktable_touch_with_exp@src/stick_table.c:654 tasklet_wakeup
Here we see that almost the entirety of stktable_add_pend_updates() is
spent under a lock, that 1/3 of the execution time of process_stream()
was performed under a lock and that 2/3 of it was spent waiting for a
lock (this is related to the 10 track-sc present in this config), and
that the locking time in process_peer_sync() has now significantly
reduced. This is more visible with "show profiling tasks aggr":
Tasks activity over 475.354 sec till 0.000 sec ago:
function calls cpu_tot cpu_avg lkw_avg lkd_avg lat_avg
h1_io_cb 25742539 3.699m 8.622us 11.00ns 10.00ns 188.0us
sc_conn_io_cb 22565666 1.475m 3.920us - - 473.9us
process_stream 21665212 1.195h 198.6us 140.6us 67.08us 1.266ms
task_process_applet 16352495 11.31m 41.51us 17.98us 36.55us 112.3us
process_peer_sync 7831923 17.15s 2.189us - 1.107us 41.27us
process_table_expire 6878569 6.866m 59.89us 9.359us 51.91us 151.8us
stktable_add_pend_updates 6602502 14.77s 2.236us - 2.060us 119.8us
h1_timeout_task 801 703.4us 878.0ns - - 185.7us
srv_cleanup_toremove_conns 347 12.43ms 35.82us 240.0ns 70.00ns 1.924ms
accept_queue_process 142 1.384ms 9.743us - - 340.6us
srv_cleanup_idle_conns 74 475.0us 6.418us 896.0ns 5.667us 114.6us
This new column will be used for reporting the average time spent
in a task with at least one lock held. It will only have a non-zero
value when DEBUG_THREAD > 0. For now it is not updated.
The new lock_level field indicates the number of cumulated locks that
are held by the current thread. It's fed as soon as DEBUG_THREAD is at
least 1. In addition, thread_isolate() adds 128, so that it's even
possible to check for combinations of both. The value is also reported
in thread dumps (warnings and panics).
When DEBUG_THREAD > 0, and if task profiling is enabled, then each
locking attempt will measure the time it takes to obtain the lock, then
add that time to a thread_ctx accumulator that the scheduler will then
retrieve to update the current task's sched_activity entry. The value
will then appear avearaged over the number of calls in the lkw_avg column
of "show profiling tasks", such as below:
Tasks activity over 48.298 sec till 0.000 sec ago:
function calls cpu_tot cpu_avg lkw_avg lat_avg
h1_io_cb 3200170 26.81s 8.377us - 32.73us <- sock_conn_iocb@src/sock.c:1099 tasklet_wakeup
sc_conn_io_cb 1657841 1.645s 992.0ns - 853.0us <- sc_app_chk_rcv_conn@src/stconn.c:844 tasklet_wakeup
process_stream 1600450 49.16s 30.71us 1.936us 1.392ms <- sc_notify@src/stconn.c:1206 task_wakeup
process_stream 1600321 7.770m 291.3us 209.1us 901.6us <- stream_new@src/stream.c:585 task_wakeup
sc_conn_io_cb 1599928 7.975s 4.984us - 65.77us <- h1_wake_stream_for_recv@src/mux_h1.c:3633 tasklet_wakeup
task_process_applet 997609 46.37s 46.48us 16.80us 113.0us <- sc_app_chk_snd_applet@src/stconn.c:1043 appctx_wakeup
process_table_expire 922074 48.79s 52.92us 7.275us 181.1us <- run_tasks_from_lists@src/task.c:670 task_queue
stktable_add_pend_updates 705423 1.511s 2.142us - 56.81us <- stktable_add_pend_updates@src/stick_table.c:869 tasklet_wakeup
task_process_applet 683511 34.75s 50.84us 18.37us 153.3us <- __process_running_peer_sync@src/peers.c:3579 appctx_wakeup
h1_io_cb 535395 198.1ms 370.0ns 72.00ns 930.4us <- h1_takeover@src/mux_h1.c:5659 tasklet_wakeup
It now makes it pretty obvious which tasks (hence call chains) spend their
time waiting on a lock and for what share of their execution time.
This new column will be used for reporting the average time spent waiting
for a lock. It will only have a non-zero value when DEBUG_THREAD > 0. For
now it is not updated.
Since the commit dcb696cd3 ("MEDIUM: resolvers: hash the records before
inserting them into the tree"), When several records are found in a DNS
answer, the round robin selection over these records is no longer performed.
Indeed, before a list of records was used. To ensure each records was
selected one after the other, at each selection, the first record of the
list was moved at the end. When this list was replaced bu a tree, the same
mechanism was preserved. However, the record is indexed using its key, a
hash of the record. So its position never changes. When it is removed and
reinserted in the tree, its position remains the same. When we walk though
the tree, starting from the root, the records are always evaluated in the
same order. So, even if there are several records in a DNS answer, the same
IP address is always selected.
It is quite easy to trigger the issue with a do-resolv action.
To fix the issue, the node to perform the next selection is now saved. So
instead of restarting from the root each time, we can restart from the next
node of the previous call.
Thanks to Damien Claisse for the issue analysis and for the reproducer.
This patch should fix the issue #3116. It must be backported as far as 2.6.
JWS functions are supposed to return 0 upon error or when nothing was
produced. This was done in order to put easily the return value in
trash->data without having to check the return value.
However functions like a2base64url() or snprintf() could return a
negative value, which would be casted in a unsigned int if this happen.
This patch add checks on the JWS functions to ensure that no negative
value can be returned, and change the prototype from int to size_t.
This is also related to issue #3114.
Must be backported to 3.2.
Build option USE_QUIC_OPENSSL_COMPAT=1 must be set to activate QUIC
support for OpenSSL prior to version 3.5.2. This compiles an internal
compatibility layer, which must be then activated at runtime with global
option limited-quic.
Starting from OpenSSL version 3.5.2, a proper QUIC TLS API is now
exposed. Thus, the compatibility layer is unneeded. However it can still
be compiled against newer OpenSSL releases and activated at runtime,
mostly for test purpose.
As this compatibility layer has some limitations, (no support for QUIC
0-RTT), it's important that users notice this situation and disable it
if possible. Thus, this patch adds a notice warning when
USE_QUIC_OPENSSL_COMPAT=1 is set when building against OpenSSL 3.5.2 and
above. This should be sufficient for users and packagers to understand
that this option is not necessary anymore.
Note that USE_QUIC_OPENSSL_COMPAT=1 is incompatible with others TLS
library which exposed a QUIC API based on original BoringSSL patches
set. A build error will prevent the compatibility layer to be built.
limited-quic option is thus silently ignored.
This index is used to retrieve the quic_conn object from its SSL object, the same
way the connection is retrieved from its SSL object for SSL/TCP connections.
This patch implements two helper functions to avoid the ugly code with such blocks:
#ifdef USE_QUIC
else if (qc) { .. }
#endif
Implement ssl_sock_get_listener() to return the listener from an SSL object.
Implement ssl_sock_get_conn() to return the connection from an SSL object
and optionally a pointer to the ssl_sock_ctx struct attached to the connections
or the quic_conns.
Use this functions where applicable:
- ssl_tlsext_ticket_key_cb() calls ssl_sock_get_listener()
- ssl_sock_infocbk() calls ssl_sock_get_conn()
- ssl_sock_msgcbk() calls ssl_sock_get_ssl_conn()
- ssl_sess_new_srv_cb() calls ssl_sock_get_conn()
- ssl_sock_srv_verifycbk() calls ssl_sock_get_conn()
Also modify qc_ssl_sess_init() to initialize the ssl_qc_app_data_index index for
the QUIC backends.
The ->li (struct listener *) member of quic_conn struct was replaced by a
->target (struct obj_type *) member by this commit:
MINOR: quic-be: get rid of ->li quic_conn member
to abstract the connection type (front or back) when implementing QUIC for the
backends. In these cases, ->target was a pointer to the ojb_type of a server
struct. This could not work with the dynamic servers contrary to the listeners
which are not dynamic.
This patch almost reverts the one mentioned above. ->target pointer to obj_type member
is replaced by ->li pointer to listener struct member. As the listener are not
dynamic, this is easy to do this. All one has to do is to replace the
objt_listener(qc->target) statement by qc->li where applicable.
For the backend connection, when needed, this is always qc->conn->target which is
used only when qc->conn is initialized. The only "problematic" case is for
quic_dgram_parse() which takes a pointer to an obj_type as third argument.
But this obj_type is only used to call quic_rx_pkt_parse(). Inside this function
it is used to access the proxy counters of the connection thanks to qc_counters().
So, this obj_type argument may be null for now on with this patch. This is the
reason why qc_counters() is modified to take this into consideration.
