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How can you combine the small files problem solution with compression to optimize storage and processing in Hadoop?

hard📝 Application Q9 of 15
Hadoop - Performance Tuning
How can you combine the small files problem solution with compression to optimize storage and processing in Hadoop?
AIncrease HDFS block size without merging files
BMerge files into SequenceFile and enable block-level compression
CUse TextInputFormat with gzip compression
DCompress each small file individually before upload
Step-by-Step Solution
Solution:
  1. Step 1: Merge small files into SequenceFile

    SequenceFile combines many small files into one large file.
  2. Step 2: Enable block-level compression on SequenceFile

    Compression reduces storage size and speeds up data transfer during processing.
  3. Final Answer:

    Merge files into SequenceFile and enable block-level compression -> Option B
  4. Quick Check:

    Merge + compress SequenceFile optimizes storage and processing [OK]
Quick Trick: Merge small files then compress SequenceFile blocks [OK]
Common Mistakes:
  • Compressing files individually does not reduce metadata
  • TextInputFormat with gzip does not merge files
  • Increasing block size alone does not solve small files

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