Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
Data Science
Towards Data Science·13d ago·5 min read
I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.
TL;DR
Compacting 1,000 Apache Iceberg files into just 6 significantly improved query performance across three SQL workloads, demonstrating the benefits of file size optimization.
✦ Why It Matters
Consider compacting your Iceberg files to enhance query performance in your data workflows.
Key Takeaways
- Compact files to improve query speed.
- Benchmark performance across different workloads.
- Monitor execution times for efficiency gains.
- Optimize data storage for analytics.
How It Works
By reducing the number of files, the overhead associated with file management and metadata operations is minimized. Larger files can be read more efficiently, leading to faster query execution.