https://ai-blog.noorshomelab.dev/tags/query-optimizer/Recent content in Query Optimizer on AI VOIDHugoenFri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/mastering-stoolap-2026/stoolap-architecture-storage-query/Fri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/mastering-stoolap-2026/stoolap-architecture-storage-query/<h2 id="introduction">Introduction</h2> <p>Welcome back, fellow data adventurers! In our previous chapter, we got Stoolap up and running, and even executed our first few SQL queries. We saw how it feels to have a powerful database embedded directly within our application. But how does Stoolap manage to be so fast, concurrent, and versatile, especially when compared to older embedded databases like SQLite?</p> <p>The secret lies beneath the surface, within its meticulously designed architecture. In this chapter, we&rsquo;re going to pull back the curtain and peek inside Stoolap&rsquo;s core components: its <strong>Storage Engine</strong> and <strong>Query Execution Pipeline</strong>. Understanding these will not only satisfy your curiosity but also empower you to design more efficient schemas, write better queries, and truly leverage Stoolap&rsquo;s modern capabilities for both transactional (OLTP) and analytical (OLAP) workloads, along with its cutting-edge vector search.</p>