Hi,

You can add "Global" parameters in the "kettle.properties" file (in the
.kettle directory under the diserver sub directory) such as the below where
you can log the status of the Jobs/Transforms/Etc either to a file or a form
(xxx_LOG_TABLE) within AR System that you could utilise in monitoring to
check the status of your AI Jobs:

 

Example Parameters:

 

KETTLE_TRANS_PERFORMANCE_LOG_TABLE=UDM\:StepPerformanceLog

KETTLE_TRANS_PERFORMANCE_LOG_SCHEMA=

KETTLE_CHANNEL_LOG_DB=MPS-ARSystem

KETTLE_STEP_LOG_SCHEMA=

KETTLE_JOB_LOG_DB=MPS-ARSystem

KETTLE_LOG_SIZE_LIMIT=0

KETTLE_TRANS_LOG_TABLE=UDM\:TransformationLog

KETTLE_JOBENTRY_LOG_SCHEMA=

KETTLE_STEP_PERFORMANCE_SNAPSHOT_LIMIT=0

KETTLE_TRANS_LOG_DB=MPS-ARSystem

KETTLE_JOBENTRY_LOG_TABLE=UDM\:JobEntryLog

KETTLE_STEP_LOG_DB=MPS-ARSystem

KETTLE_STEP_LOG_TABLE=UDM\:StepLog

KETTLE_PLUGIN_CLASSES=

KETTLE_TRANS_ROWSET_SIZE=0

KETTLE_TRANS_LOG_SCHEMA=

KETTLE_JOB_LOG_SCHEMA=

KETTLE_TRANS_PERFORMANCE_LOG_DB=MPS-ARSystem

KETTLE_MAX_LOG_TIMEOUT_IN_MINUTES=0

KETTLE_EMPTY_STRING_DIFFERS_FROM_NULL=N

KETTLE_CHANNEL_LOG_SCHEMA=

KETTLE_JOB_LOG_TABLE=UDM\:JobLog

KETTLE_JOBENTRY_LOG_DB=MPS-ARSystem

KETTLE_SHARED_OBJECTS=

KETTLE_MAX_LOG_SIZE_IN_LINES=1000

KETTLE_CHANNEL_LOG_TABLE=UDM\:LoggingChannelLog

 

Alternately, you can turn on individual Job logging via the Spoon Client.

 

  _____  

 

Kind Regards,

 

Carl Wilson

 

 

From: Action Request System discussion list(ARSList)
[mailto:[email protected]] On Behalf Of Campbell, Gavin
Sent: 13 January 2016 15:31
To: [email protected]
Subject: Automated Atrium Integrator Job Monitoring in 8.1.2 environment

 

** 

Hi All,

 

Has anyone implemented any type of automation of job monitoring to alert
your team when an AI job fails?  Outside of checking the AI console on a
daily basis we are not finding it easy to monitor our AI jobs to verify they
are running as scheduled.  Thanks for sharing any input you may have.

 

Best Regards,

 

Gavin

 

 

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