Autosys job completed successfully at the backend but the agent shows that it failed
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Autosys job completed successfully at the backend but the agent shows that it failed

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Article ID: 249947

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Updated On:

Products

CA Workload Automation AE

Issue/Introduction

Environment:

Autosys 12.0 sp1 cum2

Agent 11.4, Build 1609

Problem:

The command job running python script is completed successfully at the backend but the agent shows that it failed. The end application is running in Azure cloud

Environment

Release : 12.0

Component : Workload Automation System Agent

Resolution

 

Analysis:

We reviewed the output message in the agent spool and we could find that the job was completed with exit code 1

72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150.joblog

08/22/2022 10:47:05.220+0800 CAWA_I_20009 Use wrapper shell '/opt/CA/WA_Agent/spool/P01_SCH/MAIN/WAAE_WF0.1/72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150_wrapper.sh'
08/22/2022 10:47:05.220+0800 CAWA_I_20041 Executing /opt/CA/WA_Agent/spool/P01_SCH/MAIN/WAAE_WF0.1/72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150_wrapper.sh 72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150_wrapper.sh. pid: 2224
08/22/2022 10:47:05.232+0800 CAWA_I_20041 Executing /opt/CA/WA_Agent/spool/P01_SCH/MAIN/WAAE_WF0.1/72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150.sh /opt/CA/WA_Agent/spool/P01_SCH/MAIN/WAAE_WF0.1/72226.20445666_1.7A3465D66F59FCC91E49B108B26789428D0D8150.sh. pid: 2224
08/22/2022 10:48:18.266+0800 CAWA_I_20018 Job failed. Exit code 1, Status: 

The output message showed that the Number of pipeline run queries has been exceeded for resource 'sgazepdf0001'. This needs to be checked at azure end.

72226.20445666_1

TooManyPipelineRunQueryRequests
Message: Number of pipeline run queries has been exceeded for resource 'sgazepdf0001'. Maximum allowed number of run queries per minute is '1000'.

Solution:

Azure admin need to check and increase this limit so that the jobs don't randomly fail.

Additional Information

Troubleshoot pipeline orchestration and triggers in Azure Data Factory