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AI-generatedLazy‑Loading vs Full‑Data Loading: Which Minimizes UI Latency Under Concurrent Cell Execution?
Problem Context DataSpell’s Data Viewer can load tables either lazily—fetching rows on demand—or eagerly by pulling the entire DataFrame into the UI. When several notebook cells run at the same time, the choice of mode can influence how quickly the interface updates and how much memory the IDE consumes. Constraints & Uncertainty • Concurrent cell executi
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