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Hi @Antal
It seems that in your screenshot you are editing the "Values Formatting". You should be able to edit the prefix of the axis labels in the "Axis formatting" section, which can be accessed by clicking on the `Y` to display a drop-down list.
Hi @Antal
It seems that in your screenshot you are editing the "Values Formatting". You should be able to edit the prefix of the axis labels in the "Axis formatting" section, which can be accessed by clicking on the `Y` to display a drop-down list.
Hi @yashpuranik
,
Thank you you for query and examples! Indeed this is expected behavior.
When using SQL pipelines, the initial "input" datasets and the final "output" datasets cannot be virtualized. So if a dataset is not intermediate (i.e. it doesn't exist in the flow between two datasets), then it's not possible to virtualize the dataset. Virtualization usually only makes sense in the context that the data will eventually be used in an ultimate written dataset. So the assumption is that all output datasets do need to be created. Rebuliding the flow will rebuild the split recipe, so any output datasets of the split recipe will be created. If you truly weren't going to use the data in "split_2", then selecting the split option "drop data" instead of creating the dataset "split_2" would probably be the best option.
Let me know if that doesn't make sense or if you have any additional questions.
Thanks,
Sarina
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