Database Optimization for Blockchain-Scale Workloads
Client Overview
A high-volume SOLANA blockchain platform handling trillions of records and multi-TB tables, facing critical performance issues on its production database.
The Challenge
- Severe query latency affecting transactions and reporting
- Trillions of rows and tables over 4–5 TB in size
- Partitioning not viable due to column limitations
- License and maintenance costs skyrocketing
Root Cause Analysis
- Bloated schema with unnecessary
columns - Poorly chosen data types and sizes
- Fragmented or redundant indexing
- Outdated or misconfigured statistics
- Heavy logical/physical reads in queries and procedures
Optimization Strategy
- Schema normalization & column pruning
- Data Type Review and Size Reduction
- Enabled async statistics updates
- Index review and realignment
- Query and procedure refactoring
Key Technical Enhancements
- Schema & column cleanup
- Query & procedure optimization
- Asynchronus Statistics update
- Index realignment with usage
- Data type tuning for I/O Efficiency
Outcome & Benefits
- 50–80% faster query execution times
- Significant drop in logical reads & CPU usage
- Reduced blocking during peak usage
- Table maintenance operations 5x faster
- Massive storage reduction (66TB → 12TB)
Why KlusterFirst?
We specialize in uncovering deep-rooted performance bottlenecks and delivering high-
impact, measurable improvements in large-scale database environments.