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You want to compress large Hadoop output files with the best compression ratio but can tolerate slower speed. Which codec should you choose and why?

hard📝 Application Q15 of 15
Hadoop - Performance Tuning
You want to compress large Hadoop output files with the best compression ratio but can tolerate slower speed. Which codec should you choose and why?
AGzip, because it offers the best compression ratio despite slower speed
BLZO, because it balances speed and compression
CSnappy, because it is fastest and good compression
DNo compression, to avoid overhead
Step-by-Step Solution
Solution:
  1. Step 1: Identify compression needs

    Best compression ratio means smallest file size, speed is less important.
  2. Step 2: Compare codecs by compression ratio and speed

    Gzip compresses better but slower; Snappy is fastest but less compression; LZO is in between.
  3. Step 3: Choose codec matching needs

    Gzip fits best for high compression ratio with slower speed tolerance.
  4. Final Answer:

    Gzip, best compression ratio with slower speed -> Option A
  5. Quick Check:

    Best compression ratio = Gzip [OK]
Quick Trick: Best compression ratio usually means Gzip codec [OK]
Common Mistakes:
  • Choosing Snappy for best compression ratio
  • Thinking LZO compresses better than Gzip
  • Avoiding compression despite need to save space

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