You can still use traditional Python exception handling techniques with some modifications. If mssparkutils.fs.head()
throws a FileNotFoundException
or any other error, you can handle it using a try
and except
block.
try:
# Try reading the file
result = mssparkutils.fs.head('/path/to/your/file.txt')
print(result)
except Exception as e:
# Handle specific exceptions
if 'FileNotFoundException' in str(e):
print("File not found!")
else:
# Handle any other exceptions or print the error message
print(f"An error occurred: {e}")
The key is to capture the general Exception
and then check the error message string for specific exception types or messages. This is because the exact exceptions thrown by Spark might not always map cleanly to Python's built-in exceptions.
Ensure you replace '/path/to/your/file.txt'
with your desired file path.