Known Issue: Azure Data Factory - Pipeline fails inside Chain

Symptoms

Specific error when running Azure Data Factory Pipeline within a Chain Job

(See below for error)

Cause

If you get this error with Azure Data Factory mentioning the resource group does not exist, you may need to check that the user running (owning) the Job has the required privilege's on the Azure objects in RunMyJobs.

Workaround

Check the privilege's on the Azure objects for the user (owner) running the job and ensure these are correct.

Affected version

RunMyJobs 2023.3.0.0

Error

-- JOB RUN STACK TRACE --

java.util.concurrent.ExecutionException: com.redwood.scheduler.app.azure.connections.exception.AzureConnectionException: Resource group entry with name 'AZ_RES_PROD' could not be found. Check the Azure Subscriptions app to find an available Resource Group.

at java.base/java.util.concurrent.FutureTask.report(FutureTask.java:122)

at java.base/java.util.concurrent.FutureTask.get(FutureTask.java:191)

at com.redwood.scheduler.script.java.impl.Java.evaluateCallableInt(Java.java:157)

at com.redwood.scheduler.customjob.service.CustomJobInstance.execute(CustomJobInstance.java:88)

at com.redwood.scheduler.systemjobservice.api.JobWorker.runProcessExecute(JobWorker.java:264)

at com.redwood.scheduler.systemjobservice.api.JobWorker.processExecute(JobWorker.java:201)

at com.redwood.scheduler.systemjobservice.api.JobWorker.doWork(JobWorker.java:122)

at com.redwood.scheduler.systemjobservice.api.JobWorker.doWork(JobWorker.java:1)

at com.redwood.scheduler.infrastructure.workqueue.WorkQueueWorker.run(WorkQueueWorker.java:72)

at java.base/java.lang.Thread.run(Thread.java:833)