Hadoop - Performance Tuning
Why does Hadoop's NameNode struggle with many small files, and how does SequenceFile format internally help mitigate this?
Why does Hadoop's NameNode struggle with many small files, and how does SequenceFile format internally help mitigate this?
hard📝 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand NameNode metadata storage
NameNode keeps metadata for each file, so many small files increase memory usage and overhead.Step 2: How SequenceFile helps
SequenceFile combines many small files into one large file, reducing the number of metadata entries.Final Answer:
NameNode stores metadata per file; SequenceFile reduces metadata by combining files into one -> Option CQuick Check:
NameNode metadata overload reduced by SequenceFile merging [OK]
Quick Trick: SequenceFile reduces NameNode metadata by merging files [OK]
Common Mistakes:
- Thinking NameNode compresses files
- Assuming SequenceFile disables replication
- Believing NameNode merges files automatically
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