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Gestion du module
Sur réception du signal SIGUSR1 le module va effectuer un dump de sa mémoire, pour tout autre signal, le module va s'arrêter :
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ MANAGE SIGNAL ] The worker with the pid XXXX received a signal XX |
Arrêt critique
Quand le processus de pilotage s'arrête de façon inopinée :
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ WORKER:XXXX ] I am a worker with pid: XXXX and my master process YYYY is dead, I exit. |
Demande d'un dump de la mémoire
Le dump est fait
Python 2.6
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ WORKER pid=XXXX ] (support-only) MEMORY DUMP (to be sent to the support): xxxxxxxx xxxxxxxx xxxxxxxx |
Python 2.7
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ WORKER pid=XXXX ] (support-only) Memory information dumped to file FFFFFFF (to be sent to the support) |
Le dump a échoué
Python 2.6
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ WORKER pid=XXXX ] MEMORY DUMP: FAIL check if guppy lib is installed |
Python 2.7
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ WORKER pid=XXXX ] (support-only) MEMORY DUMP: FAIL check if meliae lib is installed |
Connexion à la base de données
| Section | Description |
|---|---|
| LOAD RETENTION | Correspond au chargement de la rétention |
| DELETE OLD RETENTION | Correspond à la suppression des anciennes rétentions |
| SAVE |
| Correspond |
| à la sauvegarde |
Connexion normale
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] We are creating mongo connection [uri=mongodb://192.168.1.120/?safe=false] [database=shinken] [ssh=True] [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Connection created in : 0.200s |
Il y indique :
- L'URL utilisée
- La base de données (peut être différente du défaut "shinken" comme ici)
- Si un tunnel SSH va être utilisé ou pas
- Le temps prit pour se connecter à la base mongo
La connexion échoue
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[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed 1/X time, we will try again [YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed Y/X times, we will try again [YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed X/X times, we stop trying |
La connexion a été perdue ou n'existe pas
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] We need to create a mongo connection |
La connexion n'a pas pu être établie
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Could not create mongo connection |
Erreur de configuration du module
Si plusieurs url mongo sont précisées
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MODULES-MANAGER ] The instance MongodbRetention raised an error: Multiples urls were found in the module's configuration file. I disable it and set it to restart it later |
Sauvegarde en rétention
Pour la sauvegarde de la rétention, trois SOUS-SECTION existent:
| Section | Description |
|---|---|
| SAVE GLOBAL | Correspond au processus global de la sauvegarde |
| SAVE WORKERS | Correspond à un sous-processus de SAVE GLOBAL, qui s'occupe de la file d'attente des différents workers de la sauvegarde |
| SAVE WORKER X | C'est un sous-processus de SAVE WORKERS, correspondant à un worker numéroté X qui permet de sauvegarder une partie des informations du scheduler en base. Le nombre de workers est paramétrable dans les paramètres du module. ( voir Rétention en base de données centralisée par royaume ( Module MongodbRetention ) ) |
SAVE GLOBAL
Les logs SAVE GLOBAL donnent des informations relatives au fonctionnement global du module ou de sa configuration.
Avant de faire la rétention, le module nous informe de l'URI utilisé ainsi que du nombre total d'hôtes et de checks à sauvegarder.
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE GLOBAL ] Starting to save retention data with XVV worker(s). [YY XX:hosts/clusters ] [ZZ YY:checks ] ( Database used = mongodb://127.0.0.1/?safe1safe=false, use ssh = True/False) 0 ), max time allowed for the save ZZ seconds |
Dans l'exemple :
- X VV : Le nombre de workers lancés en parallèle pour effectuer la sauvegarde.
- YY XX : Le nombre d'hôtes et clusters qui vont être sauvegardés.
- ZZ YY : Le nombre de checks qui vont être sauvegardés.
- ZZ : Le temps défini pour que la sauvegarde de la rétention se réalise
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE GLOBAL ] SUCCESS Retention data was saved into mongodb. Total time X.XXs |
Erreurs
Les erreurs lors de la sauvegarde de la rétention sont aussi enregistrées dans les logs sous cette forme:
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MODULES-MANAGER ] The instance MongodbRetention raised an error: ERROR MESSAGE. Total time XX.XXs. I disable it and set it to restart it later |
Exemples
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MODULES-MANAGER ] The instance MongodbRetention raised an error: [ SAVE GLOBAL ] FAILED Retention data could not be saved in mongodb. Total time 22.20s. I disable it and set it to restart it later |
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MODULES-MANAGER ] The instance MongodbRetention raised an error: [ SAVE GLOBAL ] FAILED Retention data could not be saved in mongodb because mongo is unreachable. Total time 2123.11s46s. I disable it and set it to restart it later |
SAVE WORKERS
Les logs SAVE WORKERS donnent l'état de chaque worker de sa création à son succès/échec.
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] Starting worker X with pid XXXX. Try: X/X [ Y ], max time allowed [ ZZs ] [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] The worker X didsuccessfully SUCCESSended ( after XY tries try) |
La préparation des données à sauvegarder a été longue :
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[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ PERF ] [ X.XXXs ] atomization duration |
Des erreurs empêchent le bon déroulé de la sauvegarde :
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] some workers did fail to exit or encountered an error. The retention save can be incomplete. |
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] Too many tries failed |
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] Cannot start the XXXX worker process as there is not enough memory |
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] Cannot start the worker XXXX process: XX. Exiting the retention save, killing all currently launched workers |
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] ERROR MESSAGE [YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] "EXCEPTION PYTHON" |
SAVE WORKER X
Les logs SAVE WORKER X donne donnent pour le worker ayant l'identifiant identifiant X, les statistiques sur les sauvegardes qu'il a effectuées.
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] Updating retention withPreparing elements: checksto [ XXXsave [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] -- hosts[ MongodbRetention ] [ SAVE XXWORKER X ] in mongodb Took X.XXms to prepare XXX hosts/clusters and XXXX checks [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] Took RetentionX.XXms datato savedconnect into mongodb in X.XXX seconds |
Nous sommes donc informés de :
- Du nombre d'éléments mis à jour dans la base ( nombre de checks et nombre d'hôtes )
- Le temps que la sauvegarde a pris
Erreurs
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[YYYYto Mongo [YYYY-MM-DD HH:MM:SS] INFO WARNING : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] Thehosts/clusters worker (pid:XXXX | try:XX) did not exit on time (XX s). We are restarting it. | ||
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will be saved in groups of maximum 1000 [YYYY-MM-DD HH:MM:SS] INFO ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] Saved Failed connection with the following message : ERROR MESSAGE |
Perte de connexion à la base de données
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[YYYY-MM-DD HH:MM:SS] WARNINGXXX/XXX hosts/clusters ( took X.XXms ) [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] workerTook hasX.XXms beento disconnectedsave of mongo. Will retry [1/X]XXX hosts/clusters [YYYY-MM-DD HH:MM:SS] WARNINGINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] worker has been disconnectedchecks will be saved in groups of mongo. Will retry [Y/X]maximum 1000 [YYYY-MM-DD HH:MM:SS] WARNINGINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] workerSaved hasXXXX/XXXX beenchecks disconnected( oftook mongoX. Will retry [X/X]XXms ) [YYYY-MM-DD HH:MM:SS] INFO ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] AfterSaved X tries, worker could not connect to mongo :[ERROR MESSAGE]XXXX/XXXX checks ( took X.XXms ) [YYYY-MM-DD HH:MM:SS] ERRORINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] (pid=XXXX) "EXCEPTION PYTHON" | ||
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Took X.XXms to save XXXX checks [YYYY-MM-DD HH:MM:SS] ERRORINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] Worker hasended an error: [ ERROR MESSAGE ] [YYYY-MM-in X.XXms |
Nous sommes donc informés :
- Du démarrage du worker
- Du temps que le worker met a préparer les éléments ( sélection, sérialisation)
- Du temps prit pour se connecter à la base Mongo
- De la taille des groupes d'éléments sauvegardés
- De l'avancement de chaque groupe et du temps prit
- Du temps total pris par le worker
Erreurs
Perte de connexion à la base de données
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[YYYY-MM-DD HH:MM:SS] ERRORINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] (pid=XXXX) "EXCEPTION PYTHON" |
Chargement de la rétention
Les logs fournissent des informations liées au chargement de la rétention, permettant de suivre son avancée et l'état sur la connexion à Mongo.
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[ MONGO ] Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 1/5 [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] [ MONGO ] Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 2/5 [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] [ MONGO ] Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 3/5 [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] [ MONGO ] Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 4/5 [YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] [ MONGO ] Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 5/5. We tried 5 times but it kept failing. [YYYY-MM-DD HH:MM:SS] INFOERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ HOSTSSAVE /WORKER CLUSTERSX ] [ X.XXXs ] We took X hosts/clusters from the retention [ in scheduler hosts/clusters : without retention=X / total=1 ] After 5 tries, worker could not connect to mongo :[Mongo raised ( Mongo connection failure to xxxxxxx ) on the operation get_connection. Operation failed : 5/5. We tried 5 times but it kept failing.] |
Erreur Inconnue
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[YYYY-MM-DD HH:MM:SS] INFOERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOADSAVE RETENTIONWORKER ] [ HOSTS / CLUSTERS X ] NoWorker host/clusterhas arean needederror:[ forERROR retention load (scheduler already have all X hosts retention data).MESSAGE ] [YYYY-MM-DD HH:MM:SS] INFO ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE LOADWORKER RETENTIONX ] (pid=XXXX) "EXCEPTION PYTHON" |
Chargement de la rétention
Les logs fournissent des informations liées au chargement de la rétention, permettant de suivre son avancée et l'état sur la connexion à Mongo.
| Code Block | ||
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] Try to open a Mongodb connection to [ mongodb://127.0.0.1/?safe=false ] database [ shinken ] [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] Mongo connection established in 4.94ms[ CHECKS ] [ X.XXXs ] We took X checks from the retention [ in scheduler checks : without retention=XX / total=XX ] [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ CHECKS ] No checks are needed for retention load (scheduler already have all X checks retention data). HOSTS/CLUSTERS ] Scheduler has XXX/XXX hosts/clusters in its cache and need load retention for XXX/XXX [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ HOSTS/CLUSTERS ] Took 3.52ms to load XX/XX hosts/clusters [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ X.XXXs]CHECKS Total number of elements load from mongo database: X ] Scheduler has (YYY/YYY schedulerchecks havein aits totalcache ofand XXneed load retention elementsfor )YYY/YYY [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ X.XXXs ] SUCCESS Retention data loaded successfully. |
Erreurs
Les erreurs lors du chargement de la rétention sont aussi enregistrées dans les logs sous cette forme:
| Code Block | ||
|---|---|---|
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CHECKS ] Took 28.00ms to load YYY/YYY checks [YYYY-MM-DD HH:MM:SS] ERRORINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] FAILEDTook Retention32.07ms datato couldload not be loaded from mongodb: ERROR MESSAGE DETAILS | ||
| Code Block | ||
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ZZZ/ZZZ elements [YYYY-MM-DD HH:MM:SS] ERRORINFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] errorTook querying5.99ms hostto entries: ERROR MESSAGE. Module exiting.restore data to Scheduler |
Erreurs
Les erreurs lors du chargement de la rétention sont aussi enregistrées dans les logs sous cette forme:
| Code Block | ||
|---|---|---|
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] errorFAILED queryingRetention checkscould entries:not ERRORbe MESSAGE.loaded Module exiting. |
Suppression des anciennes rétentions
from mongodb: ERROR MESSAGE DETAILS
|
| Code Block | ||||
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[YYYY-MM-DD HH:MM:SS] INFOERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETELOAD OLD RETENTION ] Weerror willquerying delete all retention data that were saved before the XXXX-XX-XX XX:XX UTC (X days) hosts/clusters entries: ERROR MESSAGE. Module exiting. |
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[YYYY-MM-DD HH:MM:SS] INFOERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] error querying checks entries: ERROR MESSAGE. Module exiting. |
Suppression des anciennes rétentions
Les logs de suppression permettent de voir le nombre d'objets supprimés (triés par hôtes et checks) ainsi que la date à partir de laquelle la rétention est conservée.
| Code Block | ||||
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DELETE OLD RETENTION ] - Deleting XXX hosts from old retention [XXXX by XXXX] [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] ] - XXX - hosts deleted in X.XXXsChecking old elements ( hosts/clusters/checks ) not updated since 7 days -> YYYY-MM-DD HH:MM UTC [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] - Deleting XXX serviceshosts/clusters fromdeleted old retention [XXXX by XXXX]in 377.65ms [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] - XXXYYY checks - services deleted in X184.XXXs476ms [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] ] Total time for deleting XXXX entries = X.XXXs X old elements = 562.126ms |
| Code Block | ||||
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[YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] Checking ]old Weelements will delete all retention data that were saved before the XXXX-XX-XX XX:XX UTC (X days)( hosts/clusters/checks ) not updated since 7 days -> YYYY-MM-DD HH:MM UTC [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] - There is no data to delete [YYYY-MM-DD HH:MM:SS] INFO : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] Total time for deleting X 0old entrieselements = X1.XXXs 17ms |
Erreur : perte de connexion à la base de données
| Code Block | ||
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[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] We have been disconnected of mongo. Will retry [1/3] [YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] We have been disconnected of mongo. Will retry [2/3] [YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] We have been disconnected of mongo. Will retry [3/3] [YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] After 3 tries, we couldn't connect to mongo |
| Code Block | ||
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[YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] We have an error:[ERROR MESSAGE] [YYYY-MM-DD HH:MM:SS] ERROR : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] "EXCEPTION PYTHON" |