← All reports

Compacting a large number of small files into fewer larger files can improve query performance in Apache Iceberg.

Data ManagementDatabase PerformanceOct 13, 2026score 0.342 posts · 0 replies across 1 instances
This thread discusses the impact of compacting 1,000 small Apache Iceberg files into six larger files on query performance. It presents a benchmark and experiment measuring performance across different SQL workloads.

Claims

Compacting a large number of small files into fewer larger files can improve query performance in Apache Iceberg.
Parent: Data ManagementEntity: Apache IcebergImpact: positiveDate: Oct 13, 2026Target: Compacting small files into larger ones

Source posts

@[email protected]
The small files problem can quietly add overhead to Apache Iceberg tables and slow down queries. This benchmark examines what happens when 1,000 files are compacted into just six. https://towardsdatascience.com/i-compacted-1000-apache-iceberg-files-into-6-heres-what-happened-to-query-performance/
1 boosts · 0 favs · 0 replies · Oct 13, 2026
@[email protected]
What happens when you replace 1,000 small Apache Iceberg files with six larger ones? This experiment measures the impact on query performance across three different SQL workloads. https://towardsdatascience.com/i-compacted-1000-apache-iceberg-files-into-6-heres-what-happened-to-query-performance/
1 boosts · 0 favs · 0 replies · Oct 13, 2026