Handling Small Files Problem in Spark.

Updated May 5, 2026

Short answer

Small files hurt performance due to metadata overhead; solve via coalesce, repartition, or compaction.

Deep explanation

Each small file is a separate partition/task by default. 1000 files of 1KB each are much slower to read than 1 file of 1MB.

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