Forum Discussion
Need Advice: Dataflow Gen1 vs Semantic Model
Hi Irwan ,
Without additional information about the error in question on the Dataflow is difficult to pin point the problem. As mentioned by v-echaithra the way both artifact work differ so the problem may be caused by different things.
If you can get the information of the error that would be helpfull.
Hi Irwan ,
Based on the error message (`Container exited unexpectedly with code 0x0000DEAD` and `MashupValueException`), this is often related to the Dataflow Gen1 mashup engine running into a resource or processing limitation.
A few things you could try:
Disable transformation steps one at a time to identify whether a specific step is causing the failure.
Review any Merge, Group By, Pivot/Unpivot, or custom column operations, as these can be memory-intensive in Dataflow Gen1.
Check whether query folding is being broken early in the query.
Filter the source data to a smaller subset and test the refresh. If it succeeds, the issue may be related to data volume.
If possible, move the transformation to a Semantic Model, Dataflow Gen2, or the source system, as these can handle some workloads more efficiently.Since the same logic succeeds in the Semantic Model, the transformation itself appears valid, which points more toward a Dataflow Gen1 execution limitation than a query logic issue.
Could you share the applied steps or M code? That may help identify the specific operation triggering the container exit.Thank you.
Hi Irwan ,
Without additional information about the error in question on the Dataflow is difficult to pin point the problem. As mentioned by v-echaithra the way both artifact work differ so the problem may be caused by different things.
If you can get the information of the error that would be helpfull.
hello MFelix and v-echaithra
this is the error message
Requested on,Dataflow name,Dataflow refresh status,Table name,Partition name,Refresh status,Start time,End time,Duration,Rows processed,Bytes processed (KB),Max commit (KB),Processor Time,Wait time,Compute engine,Error,
2026-05-29 07:45:03,IR - Thermography C3,Failed,IR - Thermography C3,NA,Failed,2026-05-29 07:45:03,2026-05-29 07:45:38,00:00:35.7670,NA,NA,NA,NA,NA,NA,Error: PipelineException: Container exited unexpectedly with code 0x0000DEAD. PID: 31856.: MashupValueException. RootActivityId = e1cff6f3-09a9-40dd-b4c3-9f2e0467b814.Param1 = PipelineException: Container exited unexpectedly with code 0x0000DEAD. PID: 31856.: MashupValueException Request ID: f6224157-5607-8808-fc29-4d17c2941c1c.
any advice would be appreciate.
Thank you.
Hi Irwan ,
Based on the error message (`Container exited unexpectedly with code 0x0000DEAD` and `MashupValueException`), this is often related to the Dataflow Gen1 mashup engine running into a resource or processing limitation.
A few things you could try:
Disable transformation steps one at a time to identify whether a specific step is causing the failure.
Review any Merge, Group By, Pivot/Unpivot, or custom column operations, as these can be memory-intensive in Dataflow Gen1.
Check whether query folding is being broken early in the query.
Filter the source data to a smaller subset and test the refresh. If it succeeds, the issue may be related to data volume.
If possible, move the transformation to a Semantic Model, Dataflow Gen2, or the source system, as these can handle some workloads more efficiently.Since the same logic succeeds in the Semantic Model, the transformation itself appears valid, which points more toward a Dataflow Gen1 execution limitation than a query logic issue.
Could you share the applied steps or M code? That may help identify the specific operation triggering the container exit.Thank you.
hello v-echaithra
got some tests here and there but seems i need to stick with semantic while waiting dataflow gen 2.
Thank you for the help.