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Description

Les logs de la rétention Mongodb MongoDB du Scheduler sont classés par catégorie afin de pouvoir différencier les types de log :

  • Gestion du module
  • Connexion à la base de données
  • Sauvegarde
  • Chargement
  • La suppression Suppression des lignes retentions de rétention obsolètes.

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'éteindre 

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ MANAGE SOUS-SECTIONSIGNAL ] The worker with the pid XXXX received a signal XX

Arrêt critique

Quand le processus de pilotage s'arrête de façon inopinée 

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTIONWORKER:XXXXX ] 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
Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTIONWORKER pid=XXXX ] (support-only) MEMORY DUMP (to be sent to the support):
xxxxxxxx
xxxxxxxx
xxxxxxxx
Python 2.7
Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTIONWORKER pid=XXXX ] (support-only) Memory information dumped to file FFFFFFF (to be sent to the support)

Le dump a échoué

Python 2.6
Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTIONWORKER pid=XXXX ] MEMORY DUMP: FAIL check if guppy lib is installed
Python 2.7
Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTIONWORKER pid=XXXX ] (support-only) MEMORY DUMP: FAIL check if meliae lib is installed

Connexion à la base de données

Dans les logs suivants, le mot clé SOUS-SECTION peut valoir une des valeurs suivantes :

  • LOAD RETENTION
  • DELETE OLD RETENTION
  • SAVE WORKER XXXXX

Connexion normale

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] We are creating mongo connection [uri=mongodb://192.168.1.120/?safe=false] [database=shinken] [ssh=True]
[2021YYYY-04MM-21DD 10HH:24MM:49SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Connection created in : 0.200s

La connexion échoue

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed 1/X time, we will try again
[2021YYYY-04MM-21DD 10HH:24MM:49SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed Y/X times, we will try again
[2021YYYY-04MM-21DD 10HH:24MM:49SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Mongo connection failed X/X times, we stop trying

La connexion a été perdue ou n'existe pas

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] We need to create a mongo connection

suivi des logs de la connexion normale

La connexion n'a pas pu être établie

Code Block
[2021YYYY-04MM-21DD 10HH:24MM:49SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SOUS-SECTION ] Could not create mongo connection

Erreurs pendant la suppression d'anciennes données ou lors de la sauvegarde

Erreur de configuration du module

Si plusieurs url mongo sont précisées

Code Block
[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 types de logs existent: 

SectionDescription
SAVE GLOBALCorrespond au processus global de la sauvegarde
SAVE WORKERSCorresponds à un sous-processus de SAVE GLOBAL, qui s'occupe de la file d'attente des différents workers de la sauvegarde
SAVE WORKER XC'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 la page Module MongodbRetention ( Rétention en base de donnée centralisée par royaume ) )

SAVE GLOBAL

Les logs SAVE GLOBAL donnent des informations relatives au fonctionnement global du module ou de sa configuration.

Code Block
titleExemple
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE GLOBAL ] Starting to save retention data. [XXX:hosts] [XXX:checks] (Database used = mongodb://HOST/?safe=false, use ssh = False)
[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: 

Code Block
[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
Code Block
languagebash
[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
Code Block
[YYYY-MM-DD HH:MM:SS

Si une erreur survient pendant une opération en base de données, les logs suivants vont apparaître :

Code Block
titleExemple
[2019-07-10 16:19:10] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] We have been disconnected of mongo. Will retry [1/3]
[2019-07-10 16:19:10] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] We have been disconnected of mongo. Will retry [2/3]
[2019-07-10 16:19:10] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] We have been disconnected of mongo. Will retry [3/3]
[2019-07-10 16:19:10] ERROR  : [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] After 3 tries, we couldn't connect to mongo
Code Block
[2019-07-10 16:19:10] ERROR  : [ SCHEDULERNAME ] [ MongodbRetentionMODULES-MANAGER  ] [The SOUS-SECTIONinstance ]MongodbRetention Weraised have an error: [ERROR SAVE GLOBAL MESSAGE]
[2019-07-10 16:19:10] ERROR  : [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] (stack du Traceback)
[2019-07-10 16:19:10] ERROR  : [SCHEDULERNAME] [ MongodbRetention ] [ SOUS-SECTION ] ...

Erreur de configuration du module

 FAILED Retention data could not be saved in mongodb because mongo is unreachable. Total time 2.11s. 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.

Code Block
titleExemple
[YYYY-MM-DD HH:MM:SS] INFO 

Si plusieurs url mongo sont précisé

Code Block
[2021-04-20 13:52:26] ERROR  : [ SCHEDULERNAME ] [ MODULES-MANAGERMongodbRetention  ] The[ instanceSAVE MongodbRetentionWORKERS raised] anStarting error:worker MultiplesX urlswith werepid 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 types de logs existent: 

XXXXX. Try: X/X
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] The worker X did SUCCESS (after X try)


La préparation des données à sauvegarder a été longue :

Code Block
[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ PERF ] [ X.XXXs ] atomization duration


Des erreurs empêchent le bon déroulé de la sauvegarde :

Code Block
YYYY-MM-DD HH:MM:SS
SectionDescriptionSAVE GLOBALCorrespond au processus global de la sauvegardeSAVE WORKERSCorresponds à un sous-processus de SAVE GLOBAL, qui s'occupe de la file d'attente des différents workers de la sauvegardeSAVE WORKER XC'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 donnée centralisée par royaume ( Module MongodbRetention ) )

SAVE GLOBAL

Les logs SAVE GLOBAL donnent des informations relatives au fonctionnement global du module ou de sa configuration.

Code Block
titleExemple
[2019-07-10 14:34:39] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE GLOBAL      ] Starting to save retention data. [XXX:hosts] [XXX:checks] (Database used = mongodb://HOST/?safe=false, use ssh = False)
[2019-07-10 14:34:39] INFO    WORKERS ] some workers did fail to exit or encountered an error. The retention save can be incomplete

Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS ] Too many tries failed

Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE GLOBALWORKERS ] Cannot start the  ] 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: 
XXXXX worker process as there is not enough memory

Code Block
[2021YYYY-04MM-20DD 11HH:26MM:57SS] ERROR  : [ SCHEDULERNAME ] [ MODULES-MANAGERMongodbRetention  ] The[ instanceSAVE MongodbRetentionWORKERS raised] anCannot error:start ERRORthe MESSAGE.worker TotalX timeprocess: XX.XXs. Exiting Ithe disableretention itsave, andkilling setall itcurrently to restart it later
Exemples
launched workers

SAVE WORKER X

Les logs SAVE WORKER X donne pour le worker ayant l'identifiant X, les statistiques sur les sauvegardes qu'il a effectuées : le nombre d'éléments, résultat et temps d'exécution.

Code Block
titleExemple
[YYYY-MM-DD HH:MM:SS] INFO 
Code Block
languagebash
[2021-04-20 11:26:57] ERROR  : [ SCHEDULERNAME ] [ MODULES-MANAGER  ] The instance MongodbRetention raised an error: [ SAVE GLOBAL      ] FAILED Retention data[ couldSAVE notWORKER be0 saved] inUpdating mongodb.retention Totalwith time 22.20s. I disable it and set it to restart it later
[2021-04-20 11:26:57] 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 2.11s. I disable it and set it to restart it later

SAVE WORKERS

elements: checks [ XXX ] -- hosts [ XX ] in mongodb
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER 0 ]  Retention data saved into mongodb in X.XXX seconds

Erreurs

Code Block
[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X ] The worker (pid:XXXX | try:XX) did not exit on time (XX s). We are restarting it.
Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  

Les logs SAVE WORKERS donnent l'état de chaque worker de sa création à son succès/échec.

Code Block
titleExemple
[2019-07-10 14:34:44] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERS                ] Starting worker X with pid XXXXX. Try: X/X
[2019-07-10 14:34:54] INFO   : [ SCHEDULERNAME WORKER X ] Failed connection with the following message : ERROR MESSAGE
Perte de connexion à la base de données
Code Block
[YYYY-MM-DD HH:MM:SS] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ SAVE WORKERSWORKER X ] worker has been disconnected of mongo. Will       ] The worker X did SUCCESS (after X try)

La préparation des données à sauvegarder a été longue :

Code Block
[2019-07-10 14:34:44retry [1/X]
[YYYY-MM-DD HH:MM:SS] WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE PERFWORKER X ] [ X.XXXs ] atomization duration

Des erreurs empêchent le bon déroulé de la sauvegarde :

Code Block
[2019-07-10 14:34:44] INFO   : [ SCHEDULERNAME  worker has been disconnected of mongo. Will retry [Y/X]
[YYYY-MM-DD HH:MM:SS] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ SAVE WORKERSWORKER X ] worker has been disconnected of mongo. Will retry [X/X]
[YYYY-MM-DD HH:MM:SS] ERROR  : [SCHEDULERNAME] some[ workers did fail to exit or encountered an error. The retention save can be incomplete.
[2019-07-10 14:34:44] ERROR  : Too many tries failed
[2019-07-10 14:34:44MongodbRetention ] [ SAVE WORKER X ] After X tries, worker could not connect to mongo :[ERROR MESSAGE]
[YYYY-MM-DD HH:MM:SS] ERROR  : Cannot[SCHEDULERNAME] start[ theMongodbRetention XXXXX] worker[ processSAVE asWORKER thereX is not enough memory
[2019-07-10 14:34:44] (pid=XXXX) "EXCEPTION PYTHON"
Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  : [SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKERSWORKER X ] Worker has an error: [ ERROR MESSAGE ]
[YYYY-MM-DD HH:MM:SS] ERROR  : [SCHEDULERNAME] [ MongodbRetention ] Cannot[ startSAVE the workerWORKER X process: XX. Exiting the retention save, killing all currently launched workers

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.


Code Block
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ HOSTS / CLUSTERS ] [ X.XXXs ] We took X    hosts/clusters  from the retention [ in scheduler hosts/clusters : without retention=X    / total=1    ]
[YYYY-MM-DD HH:MM:SS

Les logs SAVE WORKER X donne pour le worker ayant l'identifiant X, les statistiques sur les sauvegardes qu'il a effectuées : le nombre d'éléments, résultat et temps d'exécution.

Code Block
titleExemple
[2019-07-10 14:34:44] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER 0          ] Updating retention with elements: checks [ XXX ] -- hosts [ XX ] in mongodb
[2019-07-10 14:34:44] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER 0          ]  Retention data saved into mongodb in X.XXX seconds

Erreurs

Code Block
[2019-07-10 14:34:44] WARNING LOAD RETENTION ] [ HOSTS / CLUSTERS ] No host/cluster are needed for retention load (scheduler already have all X    hosts retention data).
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVELOAD WORKERRETENTION X] [ CHECKS        ] The worker (pid:XXXX | try:XX) did not exit on time (XX s). We are restarting it.
Code Block
[2021-04-20 12:06:15] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ SAVE WORKER X    ] Failed connection with the following message : ERROR MESSAGE

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
[2019-07-10 16:19:10] [ 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  HOSTS / CLUSTERS ] [ X.XXXs ] We took X] No checks  hosts/clusters  from the retention [are inneeded schedulerfor hosts/clustersretention :load without retention=X    / total=1    ]
[2019-07-10 16:19:10(scheduler already have all X    checks retention data).
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ HOSTS / CLUSTERS ] No host/cluster are needed for retention load (scheduler already have all X    hosts retention data).
[2019-07-10 16:19:10 X.XXXs]  Total number of elements load from mongo database: X    ( scheduler have a total of XX   elements )
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ CHECKS           ] [ X.XXXs ] WeSUCCESS tookRetention Xdata loaded successfully.

Erreurs

Les erreurs lors du chargement de la rétention sont aussi enregistrées dans les logs sous cette forme:

Code Block
[YYYY-MM-DD  checksHH:MM:SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ]  from the retention [ inLOAD schedulerRETENTION checks] FAILED Retention data could not be loaded from mongodb: withoutERROR retention=XX   / total=XX MESSAGE DETAILS

Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  ]
[2019-07-10 16:19:10] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [error CHECKSquerying host entries: ERROR MESSAGE. Module exiting.

Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  : [ 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
titleExemple avec des objets à supprimer
[YYYY-MM-DD HH:MM:SS     ] No checks       are needed for retention load (scheduler already have all X    checks retention data).
[2019-07-10 16:19:10] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOAD RETENTION ] [ X.XXXs]  Total number of elements load from mongo database: X    ( scheduler have a total of XX   elements )
[2019-07-10 14:35:37DELETE OLD RETENTION   ] We will delete all retention data that were saved before the XXXX-XX-XX XX:XX UTC (X days)
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ]  - Deleting XXX hosts from old retention [XXXX by XXXX]
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOADDELETE OLD RETENTION   ]  [- X.XXXsXXX ] SUCCESS- Retentionhosts datadeleted loadedin successfully.

Erreurs

Les erreurs lors du chargement de la rétention sont aussi enregistrées dans les logs sous cette forme:

Code Block
[2019-07-10 16:19:10] ERRORX.XXXs
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE LOADOLD RETENTION   ] FAILED Retention data could not be loaded from mongodb: ERROR MESSAGE DETAILS
Code Block
[2019-07-10 16:19:10] ERROR- Deleting XXX services from old retention [XXXX by XXXX]
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ LOADDELETE OLD RETENTION   ]  error- queryingXXX host entries:- ERRORservices MESSAGE.deleted Modulein exiting.
Code Block
[2019-07-10 16:19:10] ERRORX.XXXs
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE LOADOLD RETENTION   ] errorTotal queryingtime checksfor entries:deleting 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.
XXXX entries = X.XXXs
Code Block
titleExemple avec des sans objets à supprimer
[2019YYYY-07MM-10DD 15HH:54MM:53SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] We will delete all retention data that were saved before the XXXX-XX-XX XX:XX UTC (X days)
[2019YYYY-07MM-10DD 15HH:54MM:53SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] There -is Deletingno XXXdata hosts from old retention [XXXX by XXXX]
[2019-07-10 15:54:53to delete
[YYYY-MM-DD HH:MM:SS] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] Total -time XXXfor deleting -0 hostsentries deleted in= X.XXXs
[2019-07-10 15:54:53] INFO   : [ SCHEDULERNAME 

Erreur : perte de connexion à la base de données

Si une erreur survient pendant une opération en base de données, les logs suivants vont apparaître :

Code Block
titleExemple
[YYYY-MM-DD HH:MM:SS] WARNING: [SCHEDULERNAME] [ MongodbRetention ] [ DELETE OLD RETENTION   ] We -have Deletingbeen XXXdisconnected servicesof frommongo. oldWill retentionretry [XXXX by XXXX1/3]
[2019YYYY-07MM-10DD 15HH:54MM:53SS] INFO   WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] We -have XXXbeen disconnected -of servicesmongo. deletedWill in X.XXXsretry [2/3]
[2019YYYY-07MM-10DD 15HH:54MM:53SS] INFO   WARNING: [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION ] We ]have Totalbeen timedisconnected forof deletingmongo. XXXXWill entries = X.XXXs
Code Block
titleExemple sans objets à supprimer
[2019-07-10 14:35:13] INFO retry [3/3]
[YYYY-MM-DD HH:MM:SS] ERROR  : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] WeAfter will3 deletetries, allwe retentioncouldn't dataconnect that were saved before the XXXX-XX-XX XX:to mongo
Code Block
[YYYY-MM-DD HH:MM:SS] ERROR  : [SCHEDULERNAMEXX UTC (X days)
[2019-07-10 14:35:16] INFO   : [ SCHEDULERNAME ] [ MongodbRetention ] [ DELETE OLD RETENTION   ] ThereWe ishave no data to delete
[2019-07-10 14:35:16] INFO   : [ SCHEDULERNAME an error:[ERROR MESSAGE]
[YYYY-MM-DD HH:MM:SS] ERROR  : [SCHEDULERNAME] [ MongodbRetention ] [ DELETE OLD RETENTION   ] Total time for deleting 0 entries = X.XXXs"Exception Python"