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

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

book

Article ID: 249947

calendar_today

Updated On:

Products

Autosys Workload Automation

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