Well, I've done a benchmark.
>>> timeit.timeit("tail('/home/marco/small.txt')", globals={"tail":tail},
>>> number=100000)
1.5963431186974049
>>> timeit.timeit("tail('/home/marco/lorem.txt')", globals={"tail":tail},
>>> number=100000)
2.5240604374557734
>>> timeit.timeit("tail('/home/marco/lorem.txt', chunk_size=1000)",
>>> globals={"tail":tail}, number=100000)
1.8944984432309866
small.txt is a text file of 1.3 KB. lorem.txt is a lorem ipsum of 1.2
GB. It seems the performance is good, thanks to the chunk suggestion.
But the time of Linux tail surprise me:
marco@buzz:~$ time tail lorem.txt
[text]
real 0m0.004s
user 0m0.003s
sys 0m0.001s
It's strange that it's so slow. I thought it was because it decodes
and print the result, but I timed
timeit.timeit("print(tail('/home/marco/lorem.txt').decode('utf-8'))",
globals={"tail":tail}, number=100000)
and I got ~36 seconds. It seems quite strange to me. Maybe I got the
benchmarks wrong at some point?
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