Performance Implications of UUID Version 4 as Primary Keys in PostgreSQL
By
pil0u
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
The article discusses performance issues with using UUID Version 4 as primary keys in PostgreSQL databases, explaining that random UUIDs cause poor performance due to excessive I/O operations and index fragmentation. It contrasts Version 4 UUIDs with sequential UUIDs (like Version 1 or ULIDs) that maintain temporal ordering, which leads to better cache efficiency and reduced index bloat. The author recommends using sequential UUID alternatives or database-generated sequences for better performance in high-volume systems.
Key quotes
· 5 pulledUUID Version 4 has mostly random bits, obfuscating information like when the value was created or where it was generated.
These databases have usually had bad performance and excessive IO.
Random UUIDs cause index fragmentation and poor cache locality, leading to performance degradation.
Sequential UUIDs maintain temporal ordering, which leads to better cache efficiency and reduced index bloat.
I recommend using sequential UUID alternatives or database-generated sequences for better performance in high-volume systems.
You might also wanna read
PostgreSQL Double Buffering: Why OS RAM and Buffer Cache Compete and How the 25% Rule Helps
This article explains the problem of double buffering in PostgreSQL, where the OS filesystem cache and PostgreSQL's shared_buffers both cach
Benchmarking Postgres Write Scalability for Durable Workflow Execution
This article benchmarks the scalability of a single Postgres server for durable workflow execution systems. It focuses on measuring Postgres
dbos.dev·1mo ago
PostgreSQL work_mem Configuration Pitfalls: How Low Memory Settings Can Cause Catastrophic Outages
The article discusses a critical PostgreSQL database performance issue where a production cluster with 2 TB of RAM was killed by the OOM (Ou
mydbanotebook.org·2mo ago
Benchmark Results: Entry-Level MacBook Performance on Database Workloads
The article benchmarks the performance of Apple's latest entry-level MacBook (MacBook Neo) on database workloads using ClickBench and TPC-DS
duckdb.org·2mo ago
How Dapper's String Parameter Handling Can Defeat SQL Server Index Performance
This technical article explains a specific performance issue in SQL Server when using Dapper ORM with C# strings. The author discovered that
consultwithgriff.com·2mo ago
Performance Analysis: fsync Latency on SSDs With and Without Power Loss Protection
This technical article examines the performance impact of fsync operations on SSDs with and without power loss protection. The author docume
smalldatum.blogspot.com·4mo ago