PHP Log Aggregation Performance Tuning: Database vs. Application Layer - The Ultimate Showdown for Millions of Records
When aggregating millions of logs, PHP developers often face a dilemma: rely on the database's power or process data in the application layer? This article dives deep into three common strategies: optimized database aggregation, query splitting (the N+1 problem), and in-memory PHP processing. Through a performance comparison of a real-world SQL query scenario, we reveal the best practices for efficient log aggregation on resource-constrained servers and how to avoid common performance pitfalls.
The Art of MySQL Index Order: A Deep Dive from Composite Indexes to the Query Optimizer
This article provides a deep dive into the philosophy of MySQL composite index design. Starting with the core 'Leftmost Prefix Principle,' we tackle the practical problem of designing efficient indexes for complex queries involving time ranges. We'll also debunk a common myth about why a composite index is far superior to multiple separate indexes. Finally, the article explains why the order of the WHERE clause doesn't matter and introduces how to use the EXPLAIN tool to validate your indexing strategy, helping you become a database performance tuning expert.