Maximizing object-store throughput for small files
Source: interviewadvanced
WHAT IT TESTS: object-store scaling internals. OUTLINE: spread keys across prefixes for partition parallelism, batch small files, parallelize and use multipart uploads.
WHAT IT TESTS: whether you understand how object stores partition by key and how per-object overhead caps small-file throughput. ANSWER OUTLINE: per-object request overhead dominates with millions of tiny files, and sequential or monotonic key prefixes can hotspot a single partition. Re-architect by spreading keys across many prefixes, batching small files into larger aggregates, and parallelizing uploads with many concurrent clients.
Read the original → interview
- #object-storage
- #throughput
- #partitioning
- #batching
- #scaling
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