DF-SYS-0 Failure(java.lang.Exception: DfmTokenFetcher parse DFM Token failed

Question

Hi,
Suddenly started getting the following error while previewing the data in data flow.

Spark job failed: { "text/plain": "{"runId":"b3205221-bd66-4752-a63d-7259866b136d","sessionId":"f7ddee56-2671-49dc-a3d4-008c47c7437f","status":"Failed","payload":{"statusCode":400,"shortMessage":"DF-SYS-0 Failure(java.lang.Exception: DfmTokenFetcher parse DFM Token failed, response payload is .) (of class scala.util.Failure)","detailedMessage":"Failure 2023-10-04 11:29:27.263 failed DebugManager.processJob, run=b3205221-bd66-4752-a63d-7259866b136d, errorMessage=DF-SYS-0 Failure(java.lang.Exception: DfmTokenFetcher parse DFM Token failed, response payload is .) (of class scala.util.Failure)"}}\n" } - RunId: b3205221-bd66-4752-a63d-7259866b136d

Can you please guide to overcome this issue?

Answer 1

Hello @Pratisti Satardekar

The error message "DF-SYS-O Failure(java.lang.Exception :" is an issue with the authentication token used to access the data flow. This error can occur if the authentication token has expired or if there is an issue with the authentication process.

Try refreshing the authentication token! Make sure that the authentication token is valid and has not expired.

Make sure that the data flow can communicate with the required resources, such as the source and destination data stores.

Please try the connectivity test from other tools such as Postman and validate if this is related to Token/Auth issues?