Forum Discussion
save data to .csv
in fabric dataflow, after some transformations, I have got the data.
Now I would like to save this data as csv.
How do I do this in notebook?
thanks
Hi again Anonymous
Thanks for using Fabric Community.
Unfortunately, Fabric Dataflow (Gen2) itself doesn't have a built-in functionality to directly save the transformed data as an CSV file. However, you can achieve this by integrating Dataflow with Notebooks:
1) Give the destination as lakehouse in Dataflow Gen2 and publish the Dataflow . This will create a new table in your lakehouse.
2) Create a new notebook and run the below code:df = spark.sql("SELECT * FROM lakehouse_1.customers_1000 ")df.write.option("header",True).csv("Files/customersnew.csv")3) A file will be created in the lakehouse files section:
Hope this helps. Please let me know if you have any further questions.
6 Replies
Hi again Anonymous
Thanks for using Fabric Community.
Unfortunately, Fabric Dataflow (Gen2) itself doesn't have a built-in functionality to directly save the transformed data as an CSV file. However, you can achieve this by integrating Dataflow with Notebooks:
1) Give the destination as lakehouse in Dataflow Gen2 and publish the Dataflow . This will create a new table in your lakehouse.
2) Create a new notebook and run the below code:df = spark.sql("SELECT * FROM lakehouse_1.customers_1000 ")df.write.option("header",True).csv("Files/customersnew.csv")3) A file will be created in the lakehouse files section:
Hope this helps. Please let me know if you have any further questions.By any chance do you if the Notebook code can be updated to dynamically append the field "File_Instance" to the output name?
If I understand correctly, this approach will create a folder with multiple files.
To create a single file from a Notebook, please refer to these threads:
I also think NandanHegde's solution is a good solution which doesn't involve Notebook.
Adding on top of what Anonymous stated, you can even use data pipelines to copy the data from lakehouse and save this data as csv in the sink supported by data pipeline if need be.
Any specific reason why you want to integrate notebook?
you can use Copy activity for the same post dataflow trigger
where destination can be any sink supported by data pipelines.
In my example I have taken lakehouse only
