Join us as we unpack why B-trees remain a database workhorse: their cache-efficient, cache-oblivious design; fine-grained lock coupling for concurrency; optimistic locking with per-node sequence numbers; and how a 70GB ClickBench index showcases scale. We’ll compare these techniques to other data structures and explore the trade-offs that keep B-trees at the core of modern databases.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
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