Stop guessing which primary key scales better. We execute rigorous benchmarks comparing BigInt sequential keys against UUID version 4 random keys in PostgreSQL 15. Discover the exact B-tree fragmentation penalty incurred by UUIDs during high-volume inserts. We quantify the write amplification factor and cache miss rates. Then, we introduce the performance uplift provided by time-ordered keys like ULID and UUID version 7, providing concrete metrics for insertion throughput and index size overhead. System analysts will gain the precise data needed to architect high-performance distributed systems, moving beyond theoretical discussions to actionable latency and throughput figures.
00:00: B-Tree Fragmentation Penalty Quantified
00:46: BigInt Sequential Write Efficiency
01:26: UUID v4 Cache Miss Analysis
02:02: Time-Ordered Keys: ULID and UUID v7
02:39: Benchmark Environment and Methodology
03:21: Insertion Throughput Results Deep Dive
03:58: Read Performance: Lookups versus Scans
04:34: Storage and Index Overhead Comparison
05:05: Actionable Recommendation Matrix
##DatabasePerformance ##PostgreSQL ##UUID ##BigInt ##PrimaryKeys ##SystemDesign ##Benchmarking