Fast way to iterate over an Arrow.Table with 30 million rows and 25 columns in Julia
I saved a Python Pandas DataFrame of size (30M x 25) as an Apache Arrow table. Then, I’m reading that table in Julia as:
Fast way to iterate over an Arrow.Table with 30 million rows and 25 columns
I saved a Python Pandas DataFrame of size (30M x 25) as an Apache Arrow table. Then, I’m reading that table in Julia as: