Indexing is a complex task in database management that requires careful analysis and consideration. Creating the right indexes is crucial for optimizing query performance, but it can be challenging, especially with modern query workloads and the use of ORMs. pganalyze has developed an AI-assisted indexing system that aims to simplify this process for developers. The system analyzes queries, breaks them down into smaller parts called “scans,” and evaluates potential index candidates based on cost improvement and index write overhead. It then uses a “set covering algorithm” to select the most suitable indexes for each table. The goal is to provide developers with a better way to index their databases, ultimately improving query performance.
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https://pganalyze.com/blog/automatic-indexing-system-postgres-pganalyze-indexing-engine