Lazy Method for Reading Big File in Python?

Question

I have a very big file 4GB and when I try to read it my computer hangs. So I want to read it piece by piece and after processing each piece store the processed piece into an

Answer 1

To write a lazy function, just use yield:

def read_in_chunks(file_object, chunk_size=1024):
    """Lazy function (generator) to read a file piece by piece.
    Default chunk size: 1k."""
    while True:
        data = file_object.read(chunk_size)
        if not data:
            break
        yield data


with open('really_big_file.dat') as f:
    for piece in read_in_chunks(f):
        process_data(piece)

---

Another option would be to use iter and a helper function:

f = open('really_big_file.dat')
def read1k():
    return f.read(1024)

for piece in iter(read1k, ''):
    process_data(piece)

---

If the file is line-based, the file object is already a lazy generator of lines:

for line in open('really_big_file.dat'):
    process_data(line)