How Amazon S3 Tables use compaction to improve query performance by up to 3 times
Storage Blog
The article discusses how Amazon S3 Tables improve query performance through automatic compaction of small Parquet files in Apache Iceberg datasets.
- Small data files can negatively impact query performance by requiring numerous read requests
- Compaction consolidates small files into larger ones, reducing read overhead
- Benchmark tests showed query performance improvements up to 3.2x
- S3 Tables automatically perform compaction without manual intervention
- Compacted tables reduced read requests by 8.5x compared to uncompacted tables
The solution simplifies data lake management by automatically optimizing storage and query performance, reducing operational complexity for businesses managing large datasets.
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