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dbutils.fs.mv or dbutils.fs.cp can help you.

Hi, Could you try to save the file from your local machine to dbfs:/FileStore location?# Put local file test.py to dbfs:/FileStore/test.pydbfs cp test.py dbfs:/FileStore/test.py

Thanks DeepakThis is what I have suspected.Hopefully the wild card feature might be available in futureThanks

If you run the following command do you receive an error? Or do you just get an empty list?dbutils.fs.ls("/databricks-datasets")

Even I am facing the same issue with GCP databricks. I am able to upload files with smaller size. When i tried with 3MB file, databricks chokes. I get the above error. I tried with aws databricks, it works good even for bigger size files.

I'm having a similar issue reading a JSON file. It is ~550MB compressed and is on a single line: val cfilename = "c_datafeed_20200128.json.gz" val events = spark.read.json(s"/mnt/c/input1/$cfilename") display(events) The filename is correct and t...

To get rid of this error you can try using Python file exists methods to check that at least python sees the file exists or not. In other words, you can make sure that the user has indeed typed a correct path for a real existing file. If the user do...

Hi @Nandha Kumar,please go through the below docs to pass python files as job,https://docs.databricks.com/dev-tools/api/latest/jobs.html#sparkpythontask