Autolader and files with invalid path
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07-16-2025 08:12 AM - edited 07-16-2025 08:13 AM
I'm encountering an issue with Autoloader where it fails to process certain files due to specific characters in their names. For example, files that begin with an underscore (e.g., _data_etc.).json) are ignored and not processed. After some investigation, I found that Spark ignores files starting with a leading _ or . by default. However, I need to include these files in my processing pipeline. Is there a way to configure Autoloader to include such files?
Additionally, I'm facing another issue with certain file paths, such as s3://abc/https://some_folder/xyz. Autoloader throws error in this case saying file not found. Is there a way to either process such paths or configure Autoloader to completely ignore folders with malformed or nested paths like these?