haproxy/src/counters.c

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/*
* objects counters management
*
* Copyright 2025 HAProxy Technologies
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include <stdlib.h>
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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#include <stdio.h>
#include <haproxy/atomic.h>
#include <haproxy/clock.h>
#include <haproxy/counters.h>
#include <haproxy/global.h>
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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#include <haproxy/guid.h>
#include <haproxy/stats-file.h>
#include <haproxy/time.h>
#include <haproxy/tools.h>
static void _counters_shared_drop(void *counters)
{
struct counters_shared *shared = counters;
int it = 0;
if (!shared)
return;
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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while (it < global.nbtgroups && shared->tg[it]) {
if (shared->flags & COUNTERS_SHARED_F_LOCAL) {
/* memory was allocated using calloc(), simply free it */
free(shared->tg[it]);
}
else {
struct shm_stats_file_object *obj;
/* inside shared memory, retrieve associated object and remove
* ourselves from its users
*/
obj = container_of(shared->tg[it], struct shm_stats_file_object, data);
HA_ATOMIC_OR(&obj->users, (1 << shm_stats_file_slot));
}
it += 1;
}
}
/* release a shared fe counters struct */
void counters_fe_shared_drop(struct fe_counters_shared *counters)
{
_counters_shared_drop(counters);
}
/* release a shared be counters struct */
void counters_be_shared_drop(struct be_counters_shared *counters)
{
_counters_shared_drop(counters);
}
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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/* prepare shared counters pointers for a given <shared> parent
* pointer and for <guid> object
* <is_be> hint is expected to be set to 1 when the guid refers to be_shared
* struct, else fe_shared stuct is assumed.
*
* if <guid> is not set, then sharing is disabled
* Returns the pointer on success or NULL on failure, in which case
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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* <errmsg> may contain additional hints about the error and must be freed accordingly
*/
static int _counters_shared_prepare(struct counters_shared *shared,
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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const struct guid_node *guid, int is_be, char **errmsg)
{
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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struct fe_counters_shared *fe_shared;
struct be_counters_shared *be_shared;
int it = 0;
if (!guid->key || !shm_stats_file_hdr)
shared->flags |= COUNTERS_SHARED_F_LOCAL;
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
2025-08-27 11:23:42 -04:00
while (it < global.nbtgroups) {
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
2025-08-27 11:23:42 -04:00
if (shared->flags & COUNTERS_SHARED_F_LOCAL) {
size_t tg_size;
tg_size = (is_be) ? sizeof(*be_shared->tg[0]) : sizeof(*fe_shared->tg[0]);
shared->tg[it] = calloc(1, tg_size);
if (!shared->tg[it])
memprintf(errmsg, "memory error, calloc failed");
}
else if (!shared->tg[it]) {
struct shm_stats_file_object *shm_obj;
shm_obj = shm_stats_file_add_object(errmsg);
if (shm_obj) {
snprintf(shm_obj->guid, sizeof(shm_obj->guid)- 1, "%s", guid_get(guid));
if (is_be) {
shm_obj->type = SHM_STATS_FILE_OBJECT_TYPE_BE;
be_shared = (struct be_counters_shared *)shared;
be_shared->tg[it] = &shm_obj->data.be;
}
else {
shm_obj->type = SHM_STATS_FILE_OBJECT_TYPE_FE;
fe_shared = (struct fe_counters_shared *)shared;
fe_shared->tg[it] = &shm_obj->data.fe;
}
/* we use atomic op to make the object visible by setting valid tgid value */
HA_ATOMIC_STORE(&shm_obj->tgid, it + 1);
}
}
if (!shared->tg[it]) {
_counters_shared_drop(shared);
MEDIUM: stats: avoid 1 indirection by storing the shared stats directly in counters struct Between 3.2 and 3.3-dev we noticed a noticeable performance regression due to stats handling. After bisecting, Willy found out that recent work to split stats computing accross multiple thread groups (stats sharding) was responsible for that performance regression. We're looking at roughly 20% performance loss. More precisely, it is the added indirections, multiplied by the number of statistics that are updated for each request, which in the end causes a significant amount of time being spent resolving pointers. We noticed that the fe_counters_shared and be_counters_shared structures which are currently allocated in dedicated memory since a0dcab5c ("MAJOR: counters: add shared counters base infrastructure") are no longer huge since 16eb0fab31 ("MAJOR: counters: dispatch counters over thread groups") because they now essentially hold flags plus the per-thread group id pointer mapping, not the counters themselves. As such we decided to try merging fe_counters_shared and be_counters_shared in their parent structures. The cost is slight memory overhead for the parent structure, but it allows to get rid of one pointer indirection. This patch alone yields visible performance gains and almost restores 3.2 stats performance. counters_fe_shared_get() was renamed to counters_fe_shared_prepare() and now returns either failure or success instead of a pointer because we don't need to retrieve a shared pointer anymore, the function takes care of initializing existing pointer.
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return 0;
}
it += 1;
}
/* initial values:
* only set one group, only latest value is considered
*/
HA_ATOMIC_STORE(&shared->tg[0]->last_state_change, ns_to_sec(now_ns));
MEDIUM: stats: avoid 1 indirection by storing the shared stats directly in counters struct Between 3.2 and 3.3-dev we noticed a noticeable performance regression due to stats handling. After bisecting, Willy found out that recent work to split stats computing accross multiple thread groups (stats sharding) was responsible for that performance regression. We're looking at roughly 20% performance loss. More precisely, it is the added indirections, multiplied by the number of statistics that are updated for each request, which in the end causes a significant amount of time being spent resolving pointers. We noticed that the fe_counters_shared and be_counters_shared structures which are currently allocated in dedicated memory since a0dcab5c ("MAJOR: counters: add shared counters base infrastructure") are no longer huge since 16eb0fab31 ("MAJOR: counters: dispatch counters over thread groups") because they now essentially hold flags plus the per-thread group id pointer mapping, not the counters themselves. As such we decided to try merging fe_counters_shared and be_counters_shared in their parent structures. The cost is slight memory overhead for the parent structure, but it allows to get rid of one pointer indirection. This patch alone yields visible performance gains and almost restores 3.2 stats performance. counters_fe_shared_get() was renamed to counters_fe_shared_prepare() and now returns either failure or success instead of a pointer because we don't need to retrieve a shared pointer anymore, the function takes care of initializing existing pointer.
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return 1;
}
MEDIUM: stats: avoid 1 indirection by storing the shared stats directly in counters struct Between 3.2 and 3.3-dev we noticed a noticeable performance regression due to stats handling. After bisecting, Willy found out that recent work to split stats computing accross multiple thread groups (stats sharding) was responsible for that performance regression. We're looking at roughly 20% performance loss. More precisely, it is the added indirections, multiplied by the number of statistics that are updated for each request, which in the end causes a significant amount of time being spent resolving pointers. We noticed that the fe_counters_shared and be_counters_shared structures which are currently allocated in dedicated memory since a0dcab5c ("MAJOR: counters: add shared counters base infrastructure") are no longer huge since 16eb0fab31 ("MAJOR: counters: dispatch counters over thread groups") because they now essentially hold flags plus the per-thread group id pointer mapping, not the counters themselves. As such we decided to try merging fe_counters_shared and be_counters_shared in their parent structures. The cost is slight memory overhead for the parent structure, but it allows to get rid of one pointer indirection. This patch alone yields visible performance gains and almost restores 3.2 stats performance. counters_fe_shared_get() was renamed to counters_fe_shared_prepare() and now returns either failure or success instead of a pointer because we don't need to retrieve a shared pointer anymore, the function takes care of initializing existing pointer.
2025-07-22 11:15:02 -04:00
/* prepare shared fe counters pointer for a given <guid> object */
int counters_fe_shared_prepare(struct fe_counters_shared *shared, const struct guid_node *guid, char **errmsg)
{
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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return _counters_shared_prepare((struct counters_shared *)shared, guid, 0, errmsg);
}
MEDIUM: stats: avoid 1 indirection by storing the shared stats directly in counters struct Between 3.2 and 3.3-dev we noticed a noticeable performance regression due to stats handling. After bisecting, Willy found out that recent work to split stats computing accross multiple thread groups (stats sharding) was responsible for that performance regression. We're looking at roughly 20% performance loss. More precisely, it is the added indirections, multiplied by the number of statistics that are updated for each request, which in the end causes a significant amount of time being spent resolving pointers. We noticed that the fe_counters_shared and be_counters_shared structures which are currently allocated in dedicated memory since a0dcab5c ("MAJOR: counters: add shared counters base infrastructure") are no longer huge since 16eb0fab31 ("MAJOR: counters: dispatch counters over thread groups") because they now essentially hold flags plus the per-thread group id pointer mapping, not the counters themselves. As such we decided to try merging fe_counters_shared and be_counters_shared in their parent structures. The cost is slight memory overhead for the parent structure, but it allows to get rid of one pointer indirection. This patch alone yields visible performance gains and almost restores 3.2 stats performance. counters_fe_shared_get() was renamed to counters_fe_shared_prepare() and now returns either failure or success instead of a pointer because we don't need to retrieve a shared pointer anymore, the function takes care of initializing existing pointer.
2025-07-22 11:15:02 -04:00
/* prepare shared be counters pointer for a given <guid> object */
int counters_be_shared_prepare(struct be_counters_shared *shared, const struct guid_node *guid, char **errmsg)
{
MEDIUM: stats-file/counters: store and preload stats counters as shm file objects This is the last patch of the shm stats file series, in this patch we implement the logic to store and fetch shm stats objects and associate them to existing shared counters on the current process. Shm objects are stored in the same memory location as the shm stats file header. In fact they are stored right after it. All objects (struct shm_stats_file_object) have the same size (no matter their type), which allows for easy object traversal without having to check the object's type, and could permit the use of external tools to scan the SHM in the future. Each object stores a guid (of GUID_MAX_LEN+1 size) and tgid which allows to match corresponding shared counters indexes. Also, as stated before, each object stores the list of users making use of it. Objects are never released (the map can only grow), but unused objects (when no more users or active users are found in objects->users), the object is automatically recycled. Also, each object stores its type which defines how the object generic data member should be handled. Upon startup (or reload), haproxy first tries to scan existing shm to find objects that could be associated to frontends, backends, listeners or servers in the current config based on GUID. For associations that couldn't be made, haproxy will automatically create missing objects in the SHM during late startup. When haproxy matches with an existing object, it means the counter from an older process is preserved in the new process, so multiple processes temporarily share the same counter for as long as required for older processes to eventually exit.
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return _counters_shared_prepare((struct counters_shared *)shared, guid, 1, errmsg);
}