Python - File Reading and Writing Strategies
You must count how many lines in a huge log file contain the word 'FAIL' without loading the entire file into memory. Which approach is best?
You must count how many lines in a huge log file contain the word 'FAIL' without loading the entire file into memory. Which approach is best?
hard🚀 Application Q8 of Q15
Step-by-Step Solution
Solution:
Step 1: Open file and iterate line by line
This reads one line at a time, keeping memory usage low.Step 2: Check if 'FAIL' is in each line and count
Increment a counter only when the condition matches.Step 3: Avoid loading entire file
Methods like read() or readlines() load the whole file, which is inefficient for large files.Final Answer:
Open the file and iterate line by line, incrementing a counter when 'FAIL' is in the line -> Option BQuick Check:
Line-by-line iteration with condition check [OK]
Quick Trick: Iterate lines, count matches without full load [OK]
Common Mistakes:
MISTAKES- Using read() loads entire file into memory
- Using readlines() creates large list in memory
- Using pandas unnecessarily increases memory use
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