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Does anyone know what is the difference between Publish and close a DFg2 versus just closing the DFg2 and running it later from a pipeline?
In other words, if you close out from a DFg2 without publishing, and run it later (say, 1 day later) from a pipeline, does this mean that this DFg2 will automatically go through its first cylce of publish-->refresh, or not?
And if not, does this mean that when the pipeline runs the DFg2, the data will be stale, ie yesterday's data?
Solved! Go to Solution.
Hi @Element115
Thanks for using Fabric Community.
Publish vs. Close in Dataflow Gen2:
Running a Closed Dataflow Later:
Hope this helps. Please let me know if you have any further questions.
Hi @Element115
Thanks for using Fabric Community.
Publish vs. Close in Dataflow Gen2:
Running a Closed Dataflow Later:
Hope this helps. Please let me know if you have any further questions.
Thanks for the clarification. So just to confirm I understand the Running a Closed Dataflow Later properly:
Let's consider the following example:
0__create DF for the first time (1 M query only).
1__publish --> refresh.
2__open DF and change the M query.
3__close without publishing.
4__pipeline runs DF.
When step 4 occurs, the M query that gets executed is the one from step 1, not the one with the new changes from step 2. Is this correct?
There should be an option to publish without refresh.
One common issue is if you need to modify a setting that may have been missed such as setting a destination table to replace instead of append - now you have to re-publish the whole dataflow which triggers a refresh, whereas you just wanted to change that one setting and have it take affect on the next scheduled refresh. The current setup can you force you to consume CU's quickly especially for big dataflows. Please update this feature to allow publishing without refreshing.
@DaveGodri Please consider voting for this idea: https://ideas.fabric.microsoft.com/ideas/idea/?ideaid=d7c2eb73-26c9-ee11-92bd-000d3adfe185
Hi @Element115
Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.