Shift2020

hi, thanks for report it. I suppose you use the append_row output action and return your result in run() function. Sometimes two of your result were written in one line....

do you use window or linux docker image?

To consume the output as an input in subsequent pipeline steps, you may need to call as_input() https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.data.output_dataset_config.outputdatasetconfig?view=azure-ml-py